Dan Kogan, Pure Storage & Venkat Ramakrishnan, Portworx by Pure Storage | AWS re:Invent 2022
(upbeat music) >> Welcome back to Vegas. Lisa Martin and Dave Vellante here with theCUBE live on the Venetian Expo Hall Floor, talking all things AWS re:Invent 2022. This is the first full day of coverage. It is jam-packed here. People are back. They are ready to hear all the new innovations from AWS. Dave, how does it feel to be back yet again in Vegas? >> Yeah, Vegas. I think it's my 10th time in Vegas this year. So, whatever. >> This year alone. You must have a favorite steak restaurant then. >> There are several. The restaurants in Vegas are actually really good. >> You know? >> They are good. >> They used to be terrible. But I'll tell you. My favorite? The place that closed. >> Oh! >> Yeah, closed. In between where we are in the Wynn and the Venetian. Anyway. >> Was it CUT? >> No, I forget what the name was. >> Something else, okay. >> It was like a Greek sort of steak place. Anyway. >> Now, I'm hungry. >> We were at Pure Accelerate a couple years ago. >> Yes, we were. >> When they announced Cloud Block Store. >> That's right. >> Pure was the first- >> In Austin. >> To do that. >> Yup. >> And then they made the acquisition of Portworx which was pretty prescient given that containers have been going through the roof. >> Yeah. >> So I'm sort of excited to have these guys on and talk about that. >> We're going to unpack all of this. We've got one of our alumni back with us, Venkat Ramakrishna, VP of Product, Portworx by Pure Storage. And Dan Kogan joins us for the first time, VP of Product Management and Product Marketing, FlashArray at Pure Storage. Guys, welcome to the program. >> Thank you. >> Hey, guys. >> Dan: Thanks for having us. >> Do you have a favorite steak restaurant in Vegas? Dave said there's a lot of good choices. >> There's a lot of good steak restaurants here. >> I like SDK. >> Yeah, that's a good one. >> That's the good one. >> That's a good one. >> Which one? >> SDK. >> SDK. >> Where's that? >> It's, I think, in Cosmopolitan. >> Ooh. >> Yeah. >> Oh, yeah, yeah, yeah. >> It's pretty good, yeah. >> There's one of the Western too that's pretty. >> I'm an Herbs and Rye guy. Have you ever been there? >> No. >> No. >> Herbs and Rye is off strip, but it's fantastic. It's kind of like a locals joint. >> I have to dig through all of this great stuff today and then check that out. Talk to me. This is our first day, obviously. First main day. I want to get both of your perspectives. Dan, we'll start with you since you're closest to me. How are you finding this year's event so far? Obviously, tons of people. >> Busy. >> Busy, yeah. >> Yeah, it is. It is old times. Bigger, right? Last re:Invent I was at was 2019 right before everything shut down and it's probably half the size of this which is a different trend than I feel like most other tech conferences have gone where they've come back, but a little bit smaller. re:Invent seems to be the IT show. >> It really does. Venkat, are you finding the same? In terms of what you're experiencing so far on day one of the events? >> Yeah, I mean... There's tremendous excitement. Overall, I think it's good to be back. Very good crowd, great turnout, lot of excitement around some of the new offerings we've announced. The booth traffic has been pretty good. And just the quality of the conversations, the customer meetings, have been really good. There's very interesting use cases shaping up and customers really looking to solve real large scale problems. Yeah, it's been a phenomenal first day. >> Venkat, talk a little bit about, and then we'll get to you Dan as well, the relationship that Portworx by Pure Storage has with AWS. Maybe some joint customers. >> Yeah, so we... Definitely, we have been a partner of AWS for quite some time, right? Earlier this year, we signed what is called a strategic investment letter with AWS where we kind of put some joint effort together like to better integrate our products. Plus, kind of get in front of our customers more together and educate them on how going to how they can deploy and build vision critical apps on EKS and EKS anywhere and Outpost. So that partnership has grown a lot over the last year. We have a lot of significant mutual customer wins together both on the public cloud on EKS as well as on EKS anywhere, right? And there are some exciting use cases around Edge and Edge deployments and different levels of Edge as well with EKS anywhere. And there are pretty good wins on the Outpost as well. So that partnership I think is kind of like growing across not just... We started off with the one product line. Now our Portworx backup as a service is also available on EKS and along with the Portworx Data Services. So, it is also expanded across the product lanes as well. >> And then Dan, you want to elaborate a bit on AWS Plus Pure? >> Yeah, it's for kind of what we'll call the core Pure business or the traditional Pure business. As Dave mentioned, Cloud Block Store is kind of where things started and we're seeing that move and evolve from predominantly being a DR site and kind of story into now more and more production applications being lifted and shifted and running now natively in AWS honor storage software. And then we have a new product called Pure Fusion which is our storage as code automation product essentially. It takes you from moving and managing of individual arrays, now obfuscates a fleet level allows you to build a very cloud-like backend and consume storage as code. Very, very similar to how you do with AWS, with an EBS. That product is built in AWS. So it's a SaaS product built in AWS, really allowing you to turn your traditional Pure storage into an AWS-like experience. >> Lisa: Got it. >> What changed with Cloud Block Store? 'Cause if I recall, am I right that you basically did it on S3 originally? >> S3 is a big... It's a number of components. >> And you had a high performance EC2 instances. >> Dan: Yup, that's right. >> On top of lower cost object store. Is that still the case? >> That's still the architecture. Yeah, at least for AWS. It's a different architecture in Azure where we leverage their disc storage more. But in AWS were just based on essentially that backend. >> And then what's the experience when you go from, say, on-prem to AWS to sort of a cross cloud? >> Yeah, very, very simple. It's our replication technology built in. So our sync rep, our async rep, our active cluster technology is essentially allowing you to move the data really, really seamlessly there and then again back to Fusion, now being that kind of master control plan. You can have availability zones, running Cloud Block Store instances in AWS. You can be running your own availability zones in your data centers wherever those may happen to be, and that's kind of a unification layer across it all. >> It looks the same to the customer. >> To the customer, at the end of the day, it's... What the customer sees is the purity operating system. We have FlashArray proprietary hardware on premises. We have AWS's hardware that we run it on here. But to the customer, it's just the FlashArray. >> That's a data super cloud actually. Yeah, it's a data super cloud. >> I'd agree. >> It spans multiple clouds- >> Multiple clouds on premises. >> It extracts all the complexity of the underlying muck and the primitives and presents a common experience. >> Yeah, and it's the same APIs, same management console. >> Dave: Yeah, awesome. >> Everything's the same. >> See? It's real. It's a thing, On containers, I have a question. So we're in this environment, everybody wants to be more efficient, what's happening with containers? Is there... The intersection of containers and serverless, right? You think about all the things you have to do to run containers in VMs, configure everything, configure the memory, et cetera, and then serverless simplifies all that. I guess Knative in between or I guess Fargate. What are you seeing with customers between stateless apps, stateful apps, and how it all relates to containers? >> That's a great question, right? I think that one of the things that what we are seeing is that as people run more and more workloads in the cloud, right? There's this huge movement towards being the ability to bring these applications to run anywhere, right? Not just in one public cloud, but in the data centers and sometimes the Edge clouds. So there's a lot of portability requirements for the applications, right? I mean, yesterday morning I was having breakfast with a customer who is a big AWS customer but has to go into an on-prem air gap deployment for one of their large customers and is kind of re-platforming some other apps into containers in Kubernetes because it makes it so much easier for them to deploy. So there is no longer the debate of, is it stateless versus it stateful, it's pretty much all applications are moving to containers, right? And in that, you see people are building on Kubernetes and containers is because they wanted multicloud portability for their applications. Now the other big aspect is cost, right? You can significantly run... You know, like lower cost by running with Kubernetes and Portworx and by on the public cloud or on a private cloud, right? Because it lets you get more out of your infrastructure. You're not all provisioning your infrastructure. You are like just deploying the just-enough infrastructure for your application to run with Kubernetes and scale it dynamically as your application load scales. So, customers are better able to manage costs. >> Does serverless play in here though? Right? Because if I'm running serverless, I'm not paying for the compute the whole time. >> Yeah. >> Right? But then stateless and stateful come into play. >> Serverless has a place, but it is more for like quick event-driven decision. >> Dave: The stateless apps. >> You know, stuff that needs to happen. The serverless has a place, but majority of the applications have need compute and more compute to run because there's like a ton of processing you have to do, you're serving a whole bunch of users, you're serving up media, right? Those are not typically good serverless apps, right? The several less apps do definitely have a place. There's a whole bunch of minor code snippets or events you need to process every now and then to make some decisions. In that, yeah, you see serverless. But majority of the apps are still requiring a lot of compute and scaling the compute and scaling storage requirements at a time. >> So what Venkat was talking about is cost. That is probably our biggest tailwind from a cloud adoption standpoint. I think initially for on-premises vendors like Pure Storage or historically on-premises vendors, the move to the cloud was a concern, right? In that we're getting out the data center business, we're going all in on the cloud, what are you going to do? That's kind of why we got ahead of that with Cloud Block Store. But as customers have matured in their adoption of cloud and actually moved more applications, they're becoming much more aware of the costs. And so anywhere you can help them save money seems to drive adoption. So they see that on the Kubernetes side, on our side, just by adding in things that we do really well: Data reduction, thin provisioning, low cost snaps. Those kind of things, massive cost savings. And so it's actually brought a lot of customers who thought they weren't going to be using our storage moving forward back into the fold. >> Dave: Got it. >> So cost saving is great, huge business outcomes potentially for customers. But what are some of the barriers that you're helping customers to overcome on the storage side and also in terms of moving applications to Kubernetes? What are some of those barriers that you could help us? >> Yeah, I mean, I can answer it simply from a core FlashArray side, it's enabling migration of applications without having to refactor them entirely, right? That's Kubernetes side is when they think about changing their applications and building them, we'll call quote unquote more cloud native, but there are a lot of customers that can't or won't or just aren't doing that, but they want to run those applications in the cloud. So the movement is easier back to your data super cloud kind of comment, and then also eliminating this high cost associated with it. >> I'm kind of not a huge fan of the whole repatriation narrative. You know, you look at the numbers and it's like, "Yeah, there's something going on." But the one use case that looks like it's actually valid is, "I'm going to test in the cloud and I'm going to deploy on-prem." Now, I dunno if that's even called repatriation, but I'm looking to help the repatriation narrative because- >> Venkat: I think it's- >> But that's a real thing, right? >> Yeah, it's more than repatriation, right? It's more about the ability to run your app, right? It's not just even test, right? I mean, you're going to have different kinds of governance and compliance and regulatory requirements have to run your apps in different kinds of cloud environments, right? There are certain... Certain regions may not have all of the compliance and regulatory requirements implemented in that cloud provider, right? So when you run with Kubernetes and containers, I mean, you kind of do the transformation. So now you can take that app and run an infrastructure that allows you to deliver under those requirements as well, right? So that portability is the major driver than repatriation. >> And you would do that for latency reasons? >> For latency, yeah. >> Or data sovereign? >> Data sovereignty. >> Data sovereignty. >> Control. >> I mean, yeah. Availability of your application and data just in that region, right? >> Okay, so if the capability is not there in the cloud region, you come in and say, "Hey, we can do that on-prem or in a colo and get you what you need to comply to your EDX." >> Yeah, or potentially moves to a different cloud provider. It's just a lot more control that you're providing on customer at the end of the day. >> What's that move like? I mean, now you're moving data and everybody's going to complain about egress fees. >> Well, you shouldn't be... I think it's more of a one-time move. You're probably not going to be moving data between cloud providers regularly. But if for whatever reasons you decide that I'm going to stop running in X Cloud and I'm going to move to this cloud, what's the most seamless way to do? >> So a customer might say, "Okay, that's certification's not going to be available in this region or gov cloud or whatever for a year, I need this now." >> Yeah, or various commercial. Whatever it might be. >> "And I'm going to make the call now, one-way door, and I'm going to keep it on-prem." And then worry about it down the road. Okay, makes sense. >> Dan, I got to talk to you about the sustainability element there because it's increasingly becoming a priority for organizations in every industry where they need to work with companies that really have established sustainability programs. What are some of the factors that you talk with customers about as they have choice in all FlashArray between Pure and competitors where sustainability- >> Yeah, I mean we've leaned very heavily into that from a marketing standpoint recently because it has become so top of mind for so many customers. But at the end of the day, sustainability was built into the core of the Purity operating system in FlashArray back before it was FlashArray, right? In our early generation of products. The things that drive that sustainability of high density, high data reduction, small footprint, we needed to build that for Pure to exist as a company. And we are maybe kind of the last all-flash vendor standing that came ground up all-flash, not just the disc vendor that's refactored, right? And so that's sort of engineering from the ground up that's deeply, deeply into our software as a huge sustainability payout now. And we see that and that message is really, really resonating with customers. >> I haven't thought about that in a while. You actually are. I don't think there's any other... Nobody else made it through the knothole. And you guys hit escape velocity and then some. >> So we hit escape velocity and it hasn't slowed down, right? Earnings will be tomorrow, but the last many quarters have been pretty good. >> Yeah, we follow you pretty closely. I mean, there was one little thing in the pandemic and then boom! It's just kept cranking since, so. >> So at the end of the day though, right? We needed that level to be economically viable as a flash bender going against disc. And now that's really paying off in a sustainability equation as well because we consume so much less footprint, power cooling, all those factors. >> And there's been some headwinds with none pricing up until recently too that you've kind of blown right through. You know, you dealt with the supply issues and- >> Yeah, 'cause the overall... One, we've been, again, one of the few vendors that's been able to navigate supply really well. We've had no major delays in disruptions, but the TCO argument's real. Like at the end of the day, when you look at the cost of running on Pure, it's very, very compelling. >> Adam Selipsky made the statement, "If you're looking to tighten your belt, the cloud is the place to do it." Yeah, okay. It might be that, but... Maybe. >> Maybe, but you can... So again, we are seeing cloud customers that are traditional Pure data center customers that a few years ago said, "We're moving these applications into the cloud. You know, it's been great working with you. We love Pure. We'll have some on-prem footprint, but most of everything we're going to do is in the cloud." Those customers are coming back to us to keep running in the cloud. Because again, when you start to factor in things like thin provisioning, data reduction, those don't exist in the cloud. >> So, it's not repatriation. >> It's not repatriation. >> It's we want Pure in the cloud. >> Correct. We want your software. So that's why we built CBS, and we're seeing that come all the way through. >> There's another cost savings is on the... You know, with what we are doing with Kubernetes and containers and Portworx Data Services, right? So when we run Portworx Data Services, typically customers spend a lot of money in running the cloud managed services, right? Where there is obviously a sprawl of those, right? And then they end up spending a lot of item costs. So when we move that, like when they run their data, like when they move their databases to Portworx Data Services on Kubernetes, because of all of the other cost savings we deliver plus the licensing costs are a lot lower, we deliver 5X to 10X savings to our customers. >> Lisa: Significant. >> You know, significant savings on cloud as well. >> The operational things he's talking about, too. My Fusion engineering team is one of his largest customers from Portworx Data Services. Because we don't have DBAs on that team, it's just developers. But they need databases. They need to run those databases. We turn to PDS. >> This is why he pays my bills. >> And that's why you guys have to come back 'cause we're out of time, but I do have one final question for each of you. Same question. We'll start with you Dan, the Venkat we'll go to you. Billboard. Billboard or a bumper sticker. We'll say they're going to put a billboard on Castor Street in Mountain View near the headquarters about Pure, what does it say? >> The best container for containers. (Dave and Lisa laugh) >> Venkat, Portworx, what's your bumper sticker? >> Well, I would just have one big billboard that goes and says, "Got PX?" With the question mark, right? And let people start thinking about, "What is PX?" >> I love that. >> Dave: Got Portworx, beautiful. >> You've got a side career in marketing, I can tell. >> I think they moved him out of the engineering. >> Ah, I see. We really appreciate you joining us on the program this afternoon talking about Pure, Portworx, AWS. Really compelling stories about how you're helping customers just really make big decisions and save considerable costs. We appreciate your insights. >> Awesome. Great. Thanks for having us. >> Thanks, guys. >> Thank you. >> For our guests and for Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage. (upbeat music)
SUMMARY :
This is the first full day of coverage. I think it's my 10th You must have a favorite are actually really good. The place that closed. the Wynn and the Venetian. the name was. It was like a Greek a couple years ago. And then they made the to have these guys on We're going to unpack all of this. Do you have a favorite There's a lot of good There's one of the I'm an Herbs and Rye guy. It's kind of like a locals joint. I have to dig through all and it's probably half the size of this so far on day one of the events? and customers really looking to solve and then we'll get to you Dan as well, a lot over the last year. the core Pure business or the It's a number of components. And you had a high Is that still the case? That's still the architecture. and then again back to Fusion, it's just the FlashArray. Yeah, it's a data super cloud. and the primitives and Yeah, and it's the same APIs, and how it all relates to containers? and by on the public cloud I'm not paying for the But then stateless and but it is more for like and scaling the compute the move to the cloud on the storage side So the movement is easier and I'm going to deploy on-prem." So that portability is the Availability of your application and data Okay, so if the capability is not there on customer at the end of the day. and everybody's going to and I'm going to move to this cloud, not going to be available Yeah, or various commercial. and I'm going to keep it on-prem." What are some of the factors that you talk But at the end of the day, And you guys hit escape but the last many quarters Yeah, we follow you pretty closely. So at the end of the day though, right? the supply issues and- Like at the end of the day, the cloud is the place to do it." applications into the cloud. come all the way through. because of all of the other You know, significant They need to run those databases. the Venkat we'll go to you. (Dave and Lisa laugh) I can tell. out of the engineering. We really appreciate you Thanks for having us. the leader in live enterprise
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Bich Le, Platform9 Cloud Native at Scale
>>Welcome back everyone, to the special presentation of Cloud Native at scale, the Cube and Platform nine special presentation going in and digging into the next generation super cloud infrastructure as code and the future of application development. We're here with Bickley, who's the chief architect and co-founder of Platform nine Pick. Great to see you Cube alumni. We, we met at an OpenStack event in about eight years ago, or well later, earlier when OpenStack was going. Great to see you and great to see congratulations on the success of Platform nine. Thank >>You very much. >>Yeah. You guys have been at this for a while and this is really the, the, the year we're seeing the, the crossover of Kubernetes because of what happens with containers. Everyone now has realized, and you've seen what Docker's doing with the new docker, the open source, Docker now just the success of containerization, right? And now the Kubernetes layer that we've been working on for years is coming, Bearing fruit. This is huge. >>Exactly. Yes. >>And so as infrastructures code comes in, we talked to Basco talking about Super Cloud. I met her about, you know, the new Arlon, our R lawn, and you guys just launched the infrastructures code is going to another level, and then it's always been DevOps infrastructures code. That's been the ethos that's been like from day one, developers just code. Then you saw the rise of serverless and you see now multi-cloud or on the horizon. Connect the dots for us. What is the state of infrastructures code today? >>So I think, I think I'm, I'm glad you mentioned it. Everybody or most people know about infrastructures code, but with Kubernetes, I think that project has evolved at the concept even further. And these dates, it's infrastructure is configuration, right? So, which is an evolution of infrastructure as code. So instead of telling the system, here's how I want my infrastructure by telling it, you know, do step A, B, C, and D. Instead, with Kubernetes you can describe your desired state declaratively using things called manifest resources. And then the system kind of magically figures it out and tries to converge the state towards the one that you specified. So I think it's, it's a even better version of infrastructures code. Yeah, >>Yeah. And that really means it developer just accessing resources. Okay, not clearing, Okay, give me some compute. Stand me up some, Turn the lights on, turn 'em off, turn 'em on. That's kind of where we see this going. And I like the configuration piece. Some people say composability, I mean, now with open source, so popular, you don't have to have to write a lot of code, this code being developed. And so it's integration, it's configuration. These are areas that we're starting to see computer science principles around automation, machine learning, assisting open source. Cuz you've got a lot of code that's right in hearing software, supply chain issues. So infrastructure as code has to factor in these, these new dynamics. Can you share your opinion on these new dynamics of, as open source grows, the glue layers, the configurations, the integration, what are the core issues? >>I think one of the major core issues is with all that power comes complexity, right? So, you know, despite its expressive power systems like Kubernetes and declarative APIs let you express a lot of complicated and complex stacks, right? But you're dealing with hundreds if not thousands of these yamo files or resources. And so I think, you know, the emergence of systems and layers to help you manage that complexity is becoming a key challenge and opportunity in, in this space. The that's, >>I wrote a LinkedIn post today was comments about, you know, hey, enterprise is a new breed. The trend of SaaS companies moving our consumer comp consumer-like thinking into the enterprise has been happening for a long time, but now more than ever, you're seeing it the old way used to be solve complexity with more complexity and then lock the customer in. Now with open source, it's speed, simplification and integration, right? These are the new dynamic power dynamics for developers. Yeah. So as companies are starting to now deploy and look at Kubernetes, what are the things that need to be in place? Because you have some, I won't say technical debt, but maybe some shortcuts, some scripts here that make it look like infrastructure is code. People have done some things to simulate or or make infrastructure as code happen. Yes. But to do it at scale Yes. Is harder. What's your take on this? What's your view? >>It's hard because there's a per proliferation of methods, tools, technologies. So for example, today it's very common for DevOps and platform engineering tools, I mean, sorry, teams to have to deploy a large number of Kubernetes clusters, but then apply the applications and configurations on top of those clusters. And they're using a wide range of tools to do this, right? For example, maybe Ansible or Terraform or bash scripts to bring up the infrastructure and then the clusters. And then they may use a different set of tools such as Argo CD or other tools to apply configurations and applications on top of the clusters. So you have this sprawl of tools. You, you also have this sprawl of configurations and files because the more objects you're dealing with, the more resources you have to manage. And there's a risk of drift that people call that where, you know, you think you have things under control, but some people from various teams will make changes here and there and then before the end of the day systems break and you have no idea of tracking them. So I think there's real need to kind of unify, simplify, and try to solve these problems using a smaller, more unified set of tools and methodologies. And that's something that we try to do with this new project. Arlon. >>Yeah. So, so we're gonna get into Arlan in a second. I wanna get into the why Arlon. You guys announced that at our GoCon, which was put on here in Silicon Valley at the computer by, in two, where they had their own little day over there at their headquarters. But before we get there, Bacar, your CEO came on and he talked about Super Cloud at our in aural event. What's your definition of super cloud? If you had to kind of explain that to someone at a cocktail party or someone in the industry technical, how would you look at the super cloud trend that's emerging? It's become a thing. What's your, what would be your contribution to that definition or the narrative? >>Well, it's, it's, it's funny because I've actually heard of the term for the first time today, speaking to you earlier today. But I think based on what you said, I I already get kind of some of the, the gist and the, the main concepts. It seems like super cloud, the way I interpret that is, you know, clouds and infrastructure, programmable infrastructure, all of those things are becoming commodity in a way. And everyone's got their own flavor, but there's a real opportunity for people to solve real business problems by perhaps trying to abstract away, you know, all of those various implementations and then building better abstractions that are perhaps business or application specific to help companies and businesses solve real business problems. >>Yeah, I remember that's a great, great definition. I remember, not to date myself, but back in the old days, you know, IBM had a proprietary network operating system. So the deck for the mini computer vendors, deck net and SNA respectively. But T C P I P came out of the osi, the open systems interconnect and remember, ethernet beat token ring out. So not to get all nerdy for all the young kids out there, look, just look up token ring, you'll see, you've probably never heard of it. It's IBM's, you know, connection for the internet at the, the layer two is Amazon, the ethernet, right? So if T C P I P could be the Kubernetes and the container abstraction that made the industry completely change at that point in history. So at every major inflection point where there's been serious industry change and wealth creation and business value, there's been an abstraction Yes. Somewhere. Yes. What's your reaction to that? >>I think this is, I think a saying that's been heard many times in this industry and, and I forgot who originated it, but I think the saying goes like, there's no problem that can't be solved with another layer of indirection, right? And we've seen this over and over and over again where Amazon and its peers have inserted this layer that has simplified, you know, computing and, and infrastructure management. And I believe this trend is going to continue, right? The next set of problems are going to be solved with these insertions of additional abstraction layers. I think that that's really a, yeah, >>It's >>Gonna >>Continue. It's interesting. I just, when I wrote another post today on LinkedIn called the Silicon Wars AMD stock is down arm has been on a rise. We've remember pointing for many years now, that arm's gonna be hugely, it has become true. If you look at the success of the infrastructure as a service layer across the clouds, Azure, aws, Amazon's clearly way ahead of everybody. The stuff that they're doing with the silicon and the physics and the, the atoms, the pro, you know, this is where the innovation, they're going so deep and so strong at ISAs, the more that they get that gets come on, they have more performance. So if you're an app developer, wouldn't you want the best performance and you'd wanna have the best abstraction layer that gives you the most ability to do infrastructures, code or infrastructure for configuration, for provisioning, for managing services. And you're seeing that today with service MeSHs, a lot of action going on in the service mesh area in in this community of, of co con, which will be a covering. So that brings up the whole what's next? You guys just announced our lawn at ar GoCon, which came out of Intuit. We've had Mariana Tessel at our super cloud event. She's the cto, you know, they're all in the cloud. So they contributed that project. Where did Arlon come from? What was the origination? What's the purpose? Why our lawn, why this announcement? >>Yeah, so the, the inception of the project, this was the result of us realizing that problem that we spoke about earlier, which is complexity, right? With all of this, these clouds, these infrastructure, all the variations around and, you know, compute storage networks and the proliferation of tools we talked about the Ansibles and Terraforms and Kubernetes itself, you can think of that as another tool, right? We saw a need to solve that complexity problem, and especially for people and users who use Kubernetes at scale. So when you have, you know, hundreds of clusters, thousands of applications, thousands of users spread out over many, many locations, there, there needs to be a system that helps simplify that management, right? So that means fewer tools, more expressive ways of describing the state that you want and more consistency. And, and that's why, you know, we built Arlan and we built it recognizing that many of these problems or sub problems have already been solved. So Arlon doesn't try to reinvent the wheel, it instead rests on the shoulders of several giants, right? So for example, Kubernetes is one building block, GI ops, and Argo CD is another one, which provides a very structured way of applying configuration. And then we have projects like cluster API and cross plane, which provide APIs for describing infrastructure. So arlon takes all of those building blocks and builds a thin layer, which gives users a very expressive way of defining configuration and desired state. So that's, that's kind of the inception of, >>And what's the benefit of that? What does that give the, what does that give the developer, the user, in this case, >>The developers, the, the platform engineer, team members, the DevOps engineers, they get a a ways to provision not just infrastructure and clusters, but also applications and configurations. They get a way, a system for provisioning, configuring, deploying, and doing life cycle management in a, in a much simpler way. Okay. Especially as I said, if you're dealing with a large number of applications. >>So it's like an operating fabric, if you will. Yes. For them. Okay, So let's get into what that means for up above and below the, the, this abstraction or thin layer below as the infrastructure. We talked a lot about what's going on below that. Yeah. Above our workloads. At the end of the day, you know, I talk to CXOs and IT folks that, that are now DevOps engineers. They care about the workloads and they want the infrastructure's code to work. They wanna spend their time getting in the weeds, figuring out what happened when someone made a push that that happened or something happened. They need observability and they need to, to know that it's working. That's right. And here's my workloads running effectively. So how do you guys look at the workload side of it? Cuz now you have multiple workloads on these fabric, right? >>So workloads, so Kubernetes has defined kind of a standard way to describe workloads. And you can, you know, tell Kubernetes, I want to run this container this particular way, or you can use other projects that are in the Kubernetes cloud native ecosystem, like K native, where you can express your application in more at a higher level, right? But what's also happening is in addition to the workloads, DevOps and platform engineering teams, they need to very often deploy the applications with the clusters themselves. Clusters are becoming this commodity. It's, it's becoming this host for the application and it kind of comes bundled with it. In many cases, it's like an appliance, right? So DevOps teams have to provision clusters at a really incredible rate and they need to tear them down. Clusters are becoming more, >>It's coming like an EC two instance, spin up a cluster. We've heard people used words like that. That's >>Right. And before arlon, you kind of had to do all of that using a different set of tools as, as I explained. So with Arlon you can kind of express everything together. You can say, I want a cluster with a health monitoring stack and a logging stack and this ingress controller and I want these applications and these security policies. You can describe all of that using something we call a profile. And then you can stamp out your app, your applications, and your clusters and manage them in a very, So >>It's essentially standard, like creates a mechanism. Exactly. Standardized, declarative kind of configurations. And it's like a playbook, deploy it. Now what's there is between say a script like I have scripts, I can just automate scripts >>Or yes, this is where that declarative API and infrastructures configuration comes in, right? Because scripts, yes, you can automate scripts, but the order in which they run matters, right? They can break, things can break in the middle and, and sometimes you need to debug them. Whereas the declarative way is much more expressive and powerful. You just tell the system what you want and then the system kind of figures it out. And there are these things about controllers, which will in the background reconcile all the state to converge towards your desire. It's a much more powerful, expressive and reliable way of getting things done. >>So infrastructure has configuration is built kind of on its super set of infrastructures code because it's an evolution. You need edge retro's code, but then you can configure the code by just saying do it. You basically declaring it saying Go, go do that. That's right. Okay, So, all right, so Cloudnative at scale, take me through your vision of what that means. Someone says, Hey, what does cloudnative at scale mean? What's success look like? How does it roll out in the future as you, not future next couple years? I mean, people are now starting to figure out, okay, it's not as easy as it sounds. Kubernetes has value. We're gonna hear this year at co con a lot of this, what does cloud native at scale >>Mean? Yeah, there are different interpretations, but if you ask me, when people think of scale, they think of a large number of deployments, right? Geographies, many, you know, supporting thousands or tens or millions of, of users. There, there's that aspect to scale. There's also an equally important a aspect of scale, which is also something that we, we try to address with Arlan. And that is just complexity for the people operating this or configuring this, right? So in order to describe that desired state, and in order to perform things like maybe upgrades or updates on a very large scale, you want the humans behind that to be able to express and direct the system to do that in, in relatively simple terms, right? And so we want the tools and the abstractions and the mechanisms available to the user to be as powerful but as simple as possible. So there's, I think there's gonna be a number and there have been a number of CNCF and cloud native projects that are trying to attack that complexity problem as well. And Arlon kind of falls in in that >>Category. Okay, So I'll put you on the spot road that Coan coming up, and obviously this will be shipping this segment series out before. What do you expect to see at Coan this year? What's the big story this year? What's the, what's the most important thing happening? Is it in the open source community and also within a lot of the, the people jocking for leadership. I know there's a lot of projects and still there's some white space in the overall systems map about the different areas get run time and there's their ability in all these different areas. What's the, where's the action? Where, where's the smoke? Where's the fire? Where's the piece? Where's the tension? >>Yeah, so I think one thing that has been happening over the past couple of cub cons and I expect to continue, and, and that is the, the word on the street is Kubernetes is getting boring, right? Which is good, right? >>Boring means simple. >>Well, well >>Maybe, >>Yeah, >>Invisible, >>No drama, right? So, so the, the rate of change of the Kubernetes features and, and all that has slowed, but in, in a, in a positive way. But there's still a general sentiment and feeling that there's just too much stuff. If you look at a stack necessary for hosting applications based on Kubernetes, there're just still too many moving parts, too many components, right? Too much complexity. I go, I keep going back to the complexity problem. So I expect Cube Con and all the vendors and the players and the startups and the people there to continue to focus on that complexity problem and introduce further simplifications to, to the stack. Yeah. >>B, you've had a storied career VMware over decades with them, obviously with 12 years, with 14 years or something like that. Big number. Co-founder here, a platform. Now you guys been around for a while at this game. We, man, we talked about OpenStack, that project you, we interviewed at one of their events. So OpenStack was the beginning of that, this new revolution. And I remember the early days it was, it wasn't supposed to be an alternative to Amazon, but it was a way to do more cloud cloud native. I think we had a cloud a Rod team at that time. We to joke we, you know, about, about the dream. It's happening now, now at Platform nine. You guys have been doing this for a while. What's the, what are you most excited about as the chief architect? What did you guys double down on? What did you guys pivot from or two, did you do any pivots? Did you extend out certain areas? Cuz you guys are in a good position right now, a lot of DNA in Cloud native. What are you most excited about and what does Platform nine bring to the table for customers and for people in the industry watching this? >>Yeah, so I think our mission really hasn't changed over the years, right? It's been always about taking complex open source software because open source software, it's powerful. It solves new problems, you know, every year and you have new things coming out all the time, right? OpenStack was an example where the Kubernetes took the world by storm. But there's always that complexity of, you know, just configuring it, deploying it, running it, operating it. And our mission has always been that we will take all that complexity and just make it, you know, easy for users to consume regardless of the technology, right? So the successor to Kubernetes, you know, I don't have a crystal ball, but you know, you have some indications that people are coming up of new and simpler ways of running applications. There are many projects around there who knows what's coming next year or the year after that. But platform will a, platform nine will be there and we will, you know, take the innovations from the, the, the community. We will contribute our own innovations and make all of those things very consumable to customers. >>Simpler, faster, cheaper. Exactly. Always a good business model technically to make that happen. Yeah, I think the reigning in the chaos is key, you know, Now we have now visibility into the scale. Final question before we depart this segment. What is at scale, how many clusters do you see that would be a, a watermark for an at scale conversation around an enterprise? Is it workloads we're looking at or, or clusters? How would you Yeah, how would you describe that? When people try to squint through and evaluate what's a scale, what's the at scale kind of threshold? >>Yeah. And, and the number of clusters doesn't tell the whole story because clusters can be small in terms of the number of nodes or they can be large. But roughly speaking when we say, you know, large scale cluster deployments, we're talking about maybe hundreds, two thousands. >>Yeah. And final final question, what's the role of the hyperscalers? You got AWS continuing to do well, but they got their core ias, they got a PAs, they're not too too much putting a SaaS out there. They have some SaaS apps, but mostly it's the ecosystem. They have marketplaces doing over $2 billion tran billions of transactions a year and, and it's just like, just sitting there. It hasn't really, they're now innovating on it, but that's gonna change ecosystems. What's the role the cloud play in the cloud need of its scale? >>The, the hyperscalers? >>Yeah. A's Azure, Google >>You mean from a business perspective, technical, they're, they have their own interests that, you know, that they're, they will keep catering to, they, they will continue to find ways to lock their users into their ecosystem of services and, and APIs. So I don't think that's gonna change, right? They're just gonna keep >>Well, they got great I performance, I mean from a, from a hardware standpoint, yes. That's gonna be key, right? >>Yes. I think the, the move from X 86 being the dominant way and platform to run workloads is changing, right? That, that, that, that, and I think the, the hyperscalers really want to be in the game in terms of, you know, the, the new risk and arm ecosystems and, and platforms. >>Yeah. Not joking aside, Paul Morritz, when he was the CEO of VMware, when he took over once said, and I remember our first year doing the cube, Oh, the cloud is one big distributed computer. It's, it's hardware and you got software and you got middleware and he kind of over, well he's kind of tongue in cheek, but really you're talking about large compute and sets of services that is essentially a distributed computer. >>Yes, >>Exactly. It's, we're back in the same game. Vic, thank you for coming on the segment. Appreciate your time. This is cloud native at scale special presentation with Platform nine. Really unpacking super Cloud Arlon open source and how to run large scale applications on the cloud. Cloud Native Phil for developers and John Furrier with the cube. Thanks for Washington. We'll stay tuned for another great segment coming right up.
SUMMARY :
Great to see you and great to see congratulations on the success And now the Kubernetes layer that we've been working on for years is Exactly. you know, the new Arlon, our R lawn, and you guys just launched the So I think, I think I'm, I'm glad you mentioned it. I mean, now with open source, so popular, you don't have to have to write a lot of code, you know, the emergence of systems and layers to help you manage that complexity is becoming I wrote a LinkedIn post today was comments about, you know, hey, enterprise is a new breed. So you have this sprawl of tools. in the industry technical, how would you look at the super cloud trend that's emerging? the way I interpret that is, you know, clouds and infrastructure, It's IBM's, you know, connection for the internet at the, this layer that has simplified, you know, computing and, the physics and the, the atoms, the pro, you know, this is where the innovation, the state that you want and more consistency. the DevOps engineers, they get a a ways to At the end of the day, you know, And you can, you know, tell Kubernetes, It's coming like an EC two instance, spin up a cluster. So with Arlon you can kind of express everything And it's like a playbook, deploy it. tell the system what you want and then the system kind of figures You need edge retro's code, but then you can configure the code by just saying do it. And that is just complexity for the people operating this or configuring this, What do you expect to see at Coan this year? If you look at a stack necessary for hosting We to joke we, you know, about, about the dream. So the successor to Kubernetes, you know, I don't Yeah, I think the reigning in the chaos is key, you know, Now we have now visibility into But roughly speaking when we say, you know, What's the role the you know, that they're, they will keep catering to, they, they will continue to find right? terms of, you know, the, the new risk and arm ecosystems It's, it's hardware and you got software and you got middleware and he kind of over, Vic, thank you for coming on the segment.
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Wasabi |Secure Storage Hot Takes
>> The rapid rise of ransomware attacks has added yet another challenge that business technology executives have to worry about these days, cloud storage, immutability, and air gaps have become a must have arrows in the quiver of organization's data protection strategies. But the important reality that practitioners have embraced is data protection, it can't be an afterthought or a bolt on it, has to be designed into the operational workflow of technology systems. The problem is, oftentimes, data protection is complicated with a variety of different products, services, software components, and storage formats, this is why object storage is moving to the forefront of data protection use cases because it's simpler and less expensive. The put data get data syntax has always been alluring, but object storage, historically, was seen as this low-cost niche solution that couldn't offer the performance required for demanding workloads, forcing customers to make hard tradeoffs between cost and performance. That has changed, the ascendancy of cloud storage generally in the S3 format specifically has catapulted object storage to become a first class citizen in a mainstream technology. Moreover, innovative companies have invested to bring object storage performance to parity with other storage formats, but cloud costs are often a barrier for many companies as the monthly cloud bill and egress fees in particular steadily climb. Welcome to Secure Storage Hot Takes, my name is Dave Vellante, and I'll be your host of the program today, where we introduce our community to Wasabi, a company that is purpose-built to solve this specific problem with what it claims to be the most cost effective and secure solution on the market. We have three segments today to dig into these issues, first up is David Friend, the well known entrepreneur who co-founded Carbonite and now Wasabi will then dig into the product with Drew Schlussel of Wasabi, and then we'll bring in the customer perspective with Kevin Warenda of the Hotchkiss School, let's get right into it. We're here with David Friend, the President and CEO and Co-founder of Wasabi, the hot storage company, David, welcome to theCUBE. >> Thanks Dave, nice to be here. >> Great to have you, so look, you hit a home run with Carbonite back when building a unicorn was a lot more rare than it has been in the last few years, why did you start Wasabi? >> Well, when I was still CEO of Wasabi, my genius co-founder Jeff Flowers and our chief architect came to me and said, you know, when we started this company, a state of the art disk drive was probably 500 gigabytes and now we're looking at eight terabyte, 16 terabyte, 20 terabyte, even 100 terabyte drives coming down the road and, you know, sooner or later the old architectures that were designed around these much smaller disk drives is going to run out of steam because, even though the capacities are getting bigger and bigger, the speed with which you can get data on and off of a hard drive isn't really changing all that much. And Jeff foresaw a day when the architectures sort of legacy storage like Amazon S3 and so forth was going to become very inefficient and slow. And so he came up with a new, highly parallelized architecture, and he said, I want to go off and see if I can make this work. So I said, you know, good luck go to it and they went off and spent about a year and a half in the lab, designing and testing this new storage architecture and when they got it working, I looked at the economics of this and I said, holy cow, we can sell cloud storage for a fraction of the price of Amazon, still make very good gross margins and it will be faster. So this is a whole new generation of object storage that you guys have invented. So I recruited a new CEO for Carbonite and left to found Wasabi because the market for cloud storage is almost infinite. You know, when you look at all the world's data, you know, IDC has these crazy numbers, 120 zetabytes or something like that and if you look at that as you know, the potential market size during that data, we're talking trillions of dollars, not billions and so I said, look, this is a great opportunity, if you look back 10 years, all the world's data was on-prem, if you look forward 10 years, most people agree that most of the world's data is going to live in the cloud, we're at the beginning of this migration, we've got an opportunity here to build an enormous company. >> That's very exciting. I mean, you've always been a trend spotter, and I want to get your perspectives on data protection and how it's changed. It's obviously on people's minds with all the ransomware attacks and security breaches, but thinking about your experiences and past observations, what's changed in data protection and what's driving the current very high interest in the topic? >> Well, I think, you know, from a data protection standpoint, immutability, the equivalent of the old worm tapes, but applied to cloud storage is, you know, become core to the backup strategies and disaster recovery strategies for most companies. And if you look at our partners who make backup software like Veeam, Convo, Veritas, Arcserve, and so forth, most of them are really taking advantage of mutable cloud storage as a way to protect customer data, customers backups from ransomware. So the ransomware guys are pretty clever and they, you know, they discovered early on that if someone could do a full restore from their backups, they're never going to pay a ransom. So, once they penetrate your system, they get pretty good at sort of watching how you do your backups and before they encrypt your primary data, they figure out some way to destroy or encrypt your backups as well, so that you can't do a full restore from your backups. And that's where immutability comes in. You know, in the old days you, you wrote what was called a worm tape, you know, write once read many, and those could not be overwritten or modified once they were written. And so we said, let's come up with an equivalent of that for the cloud, and it's very tricky software, you know, it involves all kinds of encryption algorithms and blockchain and this kind of stuff but, you know, the net result is if you store your backups in immutable buckets, in a product like Wasabi, you can't alter it or delete it for some period of time, so you could put a timer on it, say a year or six months or something like that, once that data is written, you know, there's no way you can go in and change it, modify it, or anything like that, including even Wasabi's engineers. >> So, David, I want to ask you about data sovereignty. It's obviously a big deal, I mean, especially for companies with the presence overseas, but what's really is any digital business these days, how should companies think about approaching data sovereignty? Is it just large firms that should be worried about this? Or should everybody be concerned? What's your point of view? >> Well, all around the world countries are imposing data sovereignty laws and if you're in the storage business, like we are, if you don't have physical data storage in-country, you're probably not going to get most of the business. You know, since Christmas we've built data centers in Toronto, London, Frankfurt, Paris, Sydney, Singapore, and I've probably forgotten one or two, but the reason we do that is twofold; one is, you know, if you're closer to the customer, you're going to get better response time, lower latency, and that's just a speed of light issue. But the bigger issue is, if you've got financial data, if you have healthcare data, if you have data relating to security, like surveillance videos, and things of that sort, most countries are saying that data has to be stored in-country, so, you can't send it across borders to some other place. And if your business operates in multiple countries, you know, dealing with data sovereignty is going to become an increasingly important problem. >> So in May of 2018, that's when the fines associated with violating GDPR went into effect and GDPR was like this main spring of privacy and data protection laws and we've seen it spawn other public policy things like the CCPA and think it continues to evolve, we see judgments in Europe against big tech and this tech lash that's in the news in the U.S. and the elimination of third party cookies, what does this all mean for data protection in the 2020s? >> Well, you know, every region and every country, you know, has their own idea about privacy, about security, about the use of even the use of metadata surrounding, you know, customer data and things of this sort. So, you know, it's getting to be increasingly complicated because GDPR, for example, imposes different standards from the kind of privacy standards that we have here in the U.S., Canada has a somewhat different set of data sovereignty issues and privacy issues so it's getting to be an increasingly complex, you know, mosaic of rules and regulations around the world and this makes it even more difficult for enterprises to run their own, you know, infrastructure because companies like Wasabi, where we have physical data centers in all kinds of different markets around the world and we've already dealt with the business of how to meet the requirements of GDPR and how to meet the requirements of some of the countries in Asia and so forth, you know, rather than an enterprise doing that just for themselves, if you running your applications or keeping your data in the cloud, you know, now a company like Wasabi with, you know, 34,000 customers, we can go to all the trouble of meeting these local requirements on behalf of our entire customer base and that's a lot more efficient and a lot more cost effective than if each individual country has to go deal with the local regulatory authorities. >> Yeah, it's compliance by design, not by chance. Okay, let's zoom out for the final question, David, thinking about the discussion that we've had around ransomware and data protection and regulations, what does it mean for a business's operational strategy and how do you think organizations will need to adapt in the coming years? >> Well, you know, I think there are a lot of forces driving companies to the cloud and, you know, and I do believe that if you come back five or 10 years from now, you're going to see majority of the world's data is going to be living in the cloud and I think storage, data storage is going to be a commodity much like electricity or bandwidth, and it's going to be done right, it will comply with the local regulations, it'll be fast, it'll be local, and there will be no strategic advantage that I can think of for somebody to stand up and run their own storage, especially considering the cost differential, you know, the most analysts think that the full, all in costs of running your own storage is in the 20 to 40 terabytes per month range, whereas, you know, if you migrate your data to the cloud, like Wasabi, you're talking probably $6 a month and so I think people are learning how to deal with the idea of an architecture that involves storing your data in the cloud, as opposed to, you know, storing your data locally. >> Wow, that's like a six X more expensive in the clouds, more than six X, all right, thank you, David,-- >> In addition to which, you know, just finding the people to babysit this kind of equipment has become nearly impossible today. >> Well, and with a focus on digital business, you don't want to be wasting your time with that kind of heavy lifting. David, thanks so much for coming in theCUBE, a great Boston entrepreneur, we've followed your career for a long time and looking forward to the future. >> Thank you. >> Okay, in a moment, Drew Schlussel will join me and we're going to dig more into product, you're watching theCUBE, the leader in enterprise and emerging tech coverage, keep it right there. ♪ Whoa ♪ ♪ Brenda in sales got an email ♪ ♪ Click here for a trip to Bombay ♪ ♪ It's not even called Bombay anymore ♪ ♪ But you clicked it anyway ♪ ♪ And now our data's been held hostage ♪ ♪ And now we're on sinking ship ♪ ♪ And a hacker's in our system ♪ ♪ Just 'cause Brenda wanted a trip ♪ ♪ She clicked on something stupid ♪ ♪ And our data's out of our control ♪ ♪ Into the hands of a hacker's ♪ ♪ And he's a giant asshole. ♪ ♪ He encrypted it in his basement ♪ ♪ He wants a million bucks for the key ♪ ♪ And I'm pretty sure he's 15 ♪ ♪ And still going through puberty ♪ ♪ I know you didn't mean to do us wrong ♪ ♪ But now I'm dealing with this all week long ♪ ♪ To make you all aware ♪ ♪ Of all this ransomware ♪ ♪ That is why I'm singing you this song ♪ ♪ C'mon ♪ ♪ Take it from me ♪ ♪ The director of IT ♪ ♪ Don't click on that email from a prince Nairobi ♪ ♪ 'Cuz he's not really a prince ♪ ♪ Now our data's locked up on our screen ♪ ♪ Controlled by a kid who's just fifteen ♪ ♪ And he's using our money to buy a Ferrari ♪ (gentle music) >> Joining me now is Drew Schlussel, who is the Senior Director of Product Marketing at Wasabi, hey Drew, good to see you again, thanks for coming back in theCUBE. >> Dave, great to be here, great to see you. >> All right, let's get into it. You know, Drew, prior to the pandemic, Zero Trust, just like kind of like digital transformation was sort of a buzzword and now it's become a real thing, almost a mandate, what's Wasabi's take on Zero Trust. >> So, absolutely right, it's been around a while and now people are paying attention, Wasabi's take is Zero Trust is a good thing. You know, there are too many places, right, where the bad guys are getting in. And, you know, I think of Zero Trust as kind of smashing laziness, right? It takes a little work, it takes some planning, but you know, done properly and using the right technologies, using the right vendors, the rewards are, of course tremendous, right? You can put to rest the fears of ransomware and having your systems compromised. >> Well, and we're going to talk about this, but there's a lot of process and thinking involved and, you know, design and your Zero Trust and you don't want to be wasting time messing with infrastructure, so we're going to talk about that, there's a lot of discussion in the industry, Drew, about immutability and air gaps, I'd like you to share Wasabi's point of view on these topics, how do you approach it and what makes Wasabi different? >> So, in terms of air gap and immutability, right, the beautiful thing about object storage, which is what we do all the time is that it makes it that much easier, right, to have a secure immutable copy of your data someplace that's easy to access and doesn't cost you an arm and a leg to get your data back. You know, we're working with some of the best, you know, partners in the industry, you know, we're working with folks like, you know, Veeam, Commvault, Arc, Marquee, MSP360, all folks who understand that you need to have multiple copies of your data, you need to have a copy stored offsite, and that copy needs to be immutable and we can talk a little bit about what immutability is and what it really means. >> You know, I wonder if you could talk a little bit more about Wasabi's solution because, sometimes people don't understand, you actually are a cloud, you're not building on other people's public clouds and this storage is the one use case where it actually makes sense to do that, tell us a little bit more about Wasabi's approach and your solution. >> Yeah, I appreciate that, so there's definitely some misconception, we are our own cloud storage service, we don't run on top of anybody else, right, it's our systems, it's our software deployed globally and we interoperate because we adhere to the S3 standard, we interoperate with practically hundreds of applications, primarily in this case, right, we're talking about backup and recovery applications and it's such a simple process, right? I mean, just about everybody who's anybody in this business protecting data has the ability now to access cloud storage and so we've made it really simple, in many cases, you'll see Wasabi as you know, listed in the primary set of available vendors and, you know, put in your private keys, make sure that your account is locked down properly using, let's say multifactor authentication, and you've got a great place to store copies of your data securely. >> I mean, we just heard from David Friend, if I did my math right, he was talking about, you know, 1/6 the cost per terabyte per month, maybe even a little better than that, how are you able to achieve such attractive economics? >> Yeah, so, you know, I can't remember how to translate my fractions into percentages, but I think we talk a lot about being 80%, right, less expensive than the hyperscalers. And you know, we talked about this at Vermont, right? There's some secret sauce there and you know, we take a different approach to how we utilize the raw capacity to the effective capacity and the fact is we're also not having to run, you know, a few hundred other services, right? We do storage, plain and simple, all day, all the time, so we don't have to worry about overhead to support, you know, up and coming other services that are perhaps, you know, going to be a loss leader, right? Customers love it, right, they see the fact that their data is growing 40, 80% year over year, they know they need to have some place to keep it secure, and, you know, folks are flocking to us in droves, in fact, we're seeing a tremendous amount of migration actually right now, multiple petabytes being brought to Wasabi because folks have figured out that they can't afford to keep going with their current hyperscaler vendor. >> And immutability is a feature of your product, right? What the feature called? Can you double-click on that a little bit? >> Yeah, absolutely. So, the term in S3 is Object Lock and what that means is your application will write an object to cloud storage, and it will define a retention period, let's say a week. And for that period, that object is immutable, untouchable, cannot be altered in any way, shape, or form, the application can't change it, the system administration can't change it, Wasabi can't change it, okay, it is truly carved in stone. And this is something that it's been around for a while, but you're seeing a huge uptick, right, in adoption and support for that feature by all the major vendors and I named off a few earlier and the best part is that with immutability comes some sense of, well, it comes with not just a sense of security, it is security. Right, when you have data that cannot be altered by anybody, even if the bad guys compromise your account, they steal your credentials, right, they can't take away the data and that's a beautiful thing, a beautiful, beautiful thing. >> And you look like an S3 bucket, is that right? >> Yeah, I mean, we're fully compatible with the S3 API, so if you're using S3 API based applications today, it's a very simple matter of just kind of redirecting where you want to store your data, beautiful thing about backup and recovery, right, that's probably the simplest application, simple being a relative term, as far as lift and shift, right? Because that just means for your next full, right, point that at Wasabi, retain your other fulls, you know, for whatever 30, 60, 90 days, and then once you've kind of made that transition from vine to vine, you know, you're often running with Wasabi. >> I talked to my open about the allure of object storage historically, you know, the simplicity of the get put syntax, but what about performance? Are you able to deliver performance that's comparable to other storage formats? >> Oh yeah, absolutely, and we've got the performance numbers on the site to back that up, but I forgot to answer something earlier, right, you said that immutability is a feature and I want to make it very clear that it is a feature but it's an API request. Okay, so when you're talking about gets and puts and so forth, you know, the comment you made earlier about being 80% more cost effective or 80% less expensive, you know, that API call, right, is typically something that the other folks charge for, right, and I think we used the metaphor earlier about the refrigerator, but I'll use a different metaphor today, right? You can think of cloud storage as a magical coffee cup, right? It gets as big as you want to store as much coffee as you want and the coffee's always warm, right? And when you want to take a sip, there's no charge, you want to, you know, pop the lid and see how much coffee is in there, no charge, and that's an important thing, because when you're talking about millions or billions of objects, and you want to get a list of those objects, or you want to get the status of the immutable settings for those objects, anywhere else it's going to cost you money to look at your data, with Wasabi, no additional charge and that's part of the thing that sets us apart. >> Excellent, so thank you for that. So, you mentioned some partners before, how do partners fit into the Wasabi story? Where do you stop? Where do they pick up? You know, what do they bring? Can you give us maybe, a paint a picture for us example, or two? >> Sure, so, again, we just do storage, right, that is our sole purpose in life is to, you know, to safely and securely store our customer's data. And so they're working with their application vendors, whether it's, you know, active archive, backup and recovery, IOT, surveillance, media and entertainment workflows, right, those systems already know how to manage the data, manage the metadata, they just need some place to keep the data that is being worked on, being stored and so forth. Right, so just like, you know, plugging in a flash drive on your laptop, right, you literally can plug in Wasabi as long as your applications support the API, getting started is incredibly easy, right, we offer a 30-day trial, one terabyte, and most folks find that within, you know, probably a few hours of their POC, right, it's giving them everything they need in terms of performance, in terms of accessibility, in terms of sovereignty, I'm guessing you talked to, you know, Dave Friend earlier about data sovereignty, right? We're global company, right, so there's got to be probably, you know, wherever you are in the world some place that will satisfy your sovereignty requirements, as well as your compliance requirements. >> Yeah, we did talk about sovereignty, Drew, this is really, what's interesting to me, I'm a bit of a industry historian, when I look back to the early days of cloud, I remember the large storage companies, you know, their CEOs would say, we're going to have an answer for the cloud and they would go out, and for instance, I know one bought competitor of Carbonite, and then couldn't figure out what to do with it, they couldn't figure out how to compete with the cloud in part, because they were afraid it was going to cannibalize their existing business, I think another part is because they just didn't have that imagination to develop an architecture that in a business model that could scale to see that you guys have done that is I love it because it brings competition, it brings innovation and it helps lower clients cost and solve really nagging problems. Like, you know, ransomware, of mutability and recovery, I'll give you the last word, Drew. >> Yeah, you're absolutely right. You know, the on-prem vendors, they're not going to go away anytime soon, right, there's always going to be a need for, you know, incredibly low latency, high bandwidth, you know, but, you know, not all data's hot all the time and by hot, I mean, you know, extremely hot, you know, let's take, you know, real time analytics for, maybe facial recognition, right, that requires sub-millisecond type of processing. But once you've done that work, right, you want to store that data for a long, long time, and you're going to want to also tap back into it later, so, you know, other folks are telling you that, you know, you can go to these like, you know, cold glacial type of tiered storage, yeah, don't believe the hype, you're still going to pay way more for that than you would with just a Wasabi-like hot cloud storage system. And, you know, we don't compete with our partners, right? We compliment, you know, what they're bringing to market in terms of the software vendors, in terms of the hardware vendors, right, we're a beautiful component for that hybrid cloud architecture. And I think folks are gravitating towards that, I think the cloud is kind of hitting a new gear if you will, in terms of adoption and recognition for the security that they can achieve with it. >> All right, Drew, thank you for that, definitely we see the momentum, in a moment, Drew and I will be back to get the customer perspective with Kevin Warenda, who's the Director of Information technology services at The Hotchkiss School, keep it right there. >> Hey, I'm Nate, and we wrote this song about ransomware to educate people, people like Brenda. >> Oh, God, I'm so sorry. We know you are, but Brenda, you're not alone, this hasn't just happened to you. >> No! ♪ Colonial Oil Pipeline had a guy ♪ ♪ who didn't change his password ♪ ♪ That sucks ♪ ♪ His password leaked, the data was breached ♪ ♪ And it cost his company 4 million bucks ♪ ♪ A fake update was sent to people ♪ ♪ Working for the meat company JBS ♪ ♪ That's pretty clever ♪ ♪ Instead of getting new features, they got hacked ♪ ♪ And had to pay the largest crypto ransom ever ♪ ♪ And 20 billion dollars, billion with a b ♪ ♪ Have been paid by companies in healthcare ♪ ♪ If you wonder buy your premium keeps going ♪ ♪ Up, up, up, up, up ♪ ♪ Now you're aware ♪ ♪ And now the hackers they are gettin' cocky ♪ ♪ When they lock your data ♪ ♪ You know, it has gotten so bad ♪ ♪ That they demand all of your money and it gets worse ♪ ♪ They go and the trouble with the Facebook ad ♪ ♪ Next time, something seems too good to be true ♪ ♪ Like a free trip to Asia! ♪ ♪ Just check first and I'll help before you ♪ ♪ Think before you click ♪ ♪ Don't get fooled by this ♪ ♪ Who isn't old enough to drive to school ♪ ♪ Take it from me, the director of IT ♪ ♪ Don't click on that email from a prince in Nairobi ♪ ♪ Because he's not really a prince ♪ ♪ Now our data's locked up on our screen ♪ ♪ Controlled by a kid who's just fifteen ♪ ♪ And he's using our money to buy a Ferrari ♪ >> It's a pretty sweet car. ♪ A kid without facial hair, who lives with his mom ♪ ♪ To learn more about this go to wasabi.com ♪ >> Hey, don't do that. ♪ Cause if we had Wasabi's immutability ♪ >> You going to ruin this for me! ♪ This fifteen-year-old wouldn't have on me ♪ (gentle music) >> Drew and I are pleased to welcome Kevin Warenda, who's the Director of Information Technology Services at The Hotchkiss School, a very prestigious and well respected boarding school in the beautiful Northwest corner of Connecticut, hello, Kevin. >> Hello, it's nice to be here, thanks for having me. >> Yeah, you bet. Hey, tell us a little bit more about The Hotchkiss School and your role. >> Sure, The Hotchkiss School is an independent boarding school, grades nine through 12, as you said, very prestigious and in an absolutely beautiful location on the deepest freshwater lake in Connecticut, we have 500 acre main campus and a 200 acre farm down the street. My role as the Director of Information Technology Services, essentially to oversee all of the technology that supports the school operations, academics, sports, everything we do on campus. >> Yeah, and you've had a very strong history in the educational field, you know, from that lens, what's the unique, you know, or if not unique, but the pressing security challenge that's top of mind for you? >> I think that it's clear that educational institutions are a target these days, especially for ransomware. We have a lot of data that can be used by threat actors and schools are often underfunded in the area of IT security, IT in general sometimes, so, I think threat actors often see us as easy targets or at least worthwhile to try to get into. >> Because specifically you are potentially spread thin, underfunded, you got students, you got teachers, so there really are some, are there any specific data privacy concerns as well around student privacy or regulations that you can speak to? >> Certainly, because of the fact that we're an independent boarding school, we operate things like even a health center, so, data privacy regulations across the board in terms of just student data rights and FERPA, some of our students are under 18, so, data privacy laws such as COPPA apply, HIPAA can apply, we have PCI regulations with many of our financial transactions, whether it be fundraising through alumni development, or even just accepting the revenue for tuition so, it's a unique place to be, again, we operate very much like a college would, right, we have all the trappings of a private college in terms of all the operations we do and that's what I love most about working in education is that it's all the industries combined in many ways. >> Very cool. So let's talk about some of the defense strategies from a practitioner point of view, then I want to bring in Drew to the conversation so what are the best practice and the right strategies from your standpoint of defending your data? >> Well, we take a defense in-depth approach, so we layer multiple technologies on top of each other to make sure that no single failure is a key to getting beyond those defenses, we also keep it simple, you know, I think there's some core things that all organizations need to do these days in including, you know, vulnerability scanning, patching , using multifactor authentication, and having really excellent backups in case something does happen. >> Drew, are you seeing any similar patterns across other industries or customers? I mean, I know we're talking about some uniqueness in the education market, but what can we learn from other adjacent industries? >> Yeah, you know, Kevin is spot on and I love hearing what he's doing, going back to our prior conversation about Zero Trust, right, that defense in-depth approach is beautifully aligned, right, with the Zero Trust approach, especially things like multifactor authentication, always shocked at how few folks are applying that very, very simple technology and across the board, right? I mean, Kevin is referring to, you know, financial industry, healthcare industry, even, you know, the security and police, right, they need to make sure that the data that they're keeping, evidence, right, is secure and immutable, right, because that's evidence. >> Well, Kevin, paint a picture for us, if you would. So, you were primarily on-prem looking at potentially, you know, using more cloud, you were a VMware shop, but tell us, paint a picture of your environment, kind of the applications that you support and the kind of, I want to get to the before and the after Wasabi, but start with kind of where you came from. >> Sure, well, I came to The Hotchkiss School about seven years ago and I had come most recently from public K12 and municipal, so again, not a lot of funding for IT in general, security, or infrastructure in general, so Nutanix was actually a hyperconverged solution that I implemented at my previous position. So when I came to Hotchkiss and found mostly on-prem workloads, everything from the student information system to the card access system that students would use, financial systems, they were almost all on premise, but there were some new SaaS solutions coming in play, we had also taken some time to do some business continuity, planning, you know, in the event of some kind of issue, I don't think we were thinking about the pandemic at the time, but certainly it helped prepare us for that, so, as different workloads were moved off to hosted or cloud-based, we didn't really need as much of the on-premise compute and storage as we had, and it was time to retire that cluster. And so I brought the experience I had with Nutanix with me, and we consolidated all that into a hyper-converged platform, running Nutanix AHV, which allowed us to get rid of all the cost of the VMware licensing as well and it is an easier platform to manage, especially for small IT shops like ours. >> Yeah, AHV is the Acropolis hypervisor and so you migrated off of VMware avoiding the VTax avoidance, that's a common theme among Nutanix customers and now, did you consider moving into AWS? You know, what was the catalyst to consider Wasabi as part of your defense strategy? >> We were looking at cloud storage options and they were just all so expensive, especially in egress fees to get data back out, Wasabi became across our desks and it was such a low barrier to entry to sign up for a trial and get, you know, terabyte for a month and then it was, you know, $6 a month for terabyte. After that, I said, we can try this out in a very low stakes way to see how this works for us. And there was a couple things we were trying to solve at the time, it wasn't just a place to put backup, but we also needed a place to have some files that might serve to some degree as a content delivery network, you know, some of our software applications that are deployed through our mobile device management needed a place that was accessible on the internet that they could be stored as well. So we were testing it for a couple different scenarios and it worked great, you know, performance wise, fast, security wise, it has all the features of S3 compliance that works with Nutanix and anyone who's familiar with S3 permissions can apply them very easily and then there was no egress fees, we can pull data down, put data up at will, and it's not costing as any extra, which is excellent because especially in education, we need fixed costs, we need to know what we're going to spend over a year before we spend it and not be hit with, you know, bills for egress or because our workload or our data storage footprint grew tremendously, we need that, we can't have the variability that the cloud providers would give us. >> So Kevin, you explained you're hypersensitive about security and privacy for obvious reasons that we discussed, were you concerned about doing business with a company with a funny name? Was it the trial that got you through that knothole? How did you address those concerns as an IT practitioner? >> Yeah, anytime we adopt anything, we go through a risk review. So we did our homework and we checked the funny name really means nothing, there's lots of companies with funny names, I think we don't go based on the name necessarily, but we did go based on the history, understanding, you know, who started the company, where it came from, and really looking into the technology and understanding that the value proposition, the ability to provide that lower cost is based specifically on the technology in which it lays down data. So, having a legitimate, reasonable, you know, excuse as to why it's cheap, we weren't thinking, well, you know, you get what you pay for, it may be less expensive than alternatives, but it's not cheap, you know, it's reliable, and that was really our concern. So we did our homework for sure before even starting the trial, but then the trial certainly confirmed everything that we had learned. >> Yeah, thank you for that. Drew, explain the whole egress charge, we hear a lot about that, what do people need to know? >> First of all, it's not a funny name, it's a memorable name, Dave, just like theCUBE, let's be very clear about that, second of all, egress charges, so, you know, other storage providers charge you for every API call, right? Every get, every put, every list, everything, okay, it's part of their process, it's part of how they make money, it's part of how they cover the cost of all their other services, we don't do that. And I think, you know, as Kevin has pointed out, right, that's a huge differentiator because you're talking about a significant amount of money above and beyond what is the list price. In fact, I would tell you that most of the other storage providers, hyperscalers, you know, their list price, first of all, is, you know, far exceeding anything else in the industry, especially what we offer and then, right, their additional cost, the egress costs, the API requests can be two, three, 400% more on top of what you're paying per terabyte. >> So, you used a little coffee analogy earlier in our conversation, so here's what I'm imagining, like I have a lot of stuff, right? And I had to clear up my bar and I put some stuff in storage, you know, right down the street and I pay them monthly, I can't imagine having to pay them to go get my stuff, that's kind of the same thing here. >> Oh, that's a great metaphor, right? That storage locker, right? You know, can you imagine every time you want to open the door to that storage locker and look inside having to pay a fee? >> No, that would be annoying. >> Or, every time you pull into the yard and you want to put something in that storage locker, you have to pay an access fee to get to the yard, you have to pay a door opening fee, right, and then if you want to look and get an inventory of everything in there, you have to pay, and it's ridiculous, it's your data, it's your storage, it's your locker, you've already paid the annual fee, probably, 'cause they gave you a discount on that, so why shouldn't you have unfettered access to your data? That's what Wasabi does and I think as Kevin pointed out, right, that's what sets us completely apart from everybody else. >> Okay, good, that's helpful, it helps us understand how Wasabi's different. Kevin, I'm always interested when I talk to practitioners like yourself in learning what you do, you know, outside of the technology, what are you doing in terms of educating your community and making them more cyber aware? Do you have training for students and faculty to learn about security and ransomware protection, for example? >> Yes, cyber security awareness training is definitely one of the required things everyone should be doing in their organizations. And we do have a program that we use and we try to make it fun and engaging too, right, this is often the checking the box kind of activity, insurance companies require it, but we want to make it something that people want to do and want to engage with so, even last year, I think we did one around the holidays and kind of pointed out the kinds of scams they may expect in their personal life about, you know, shipping of orders and time for the holidays and things like that, so it wasn't just about protecting our school data, it's about the fact that, you know, protecting their information is something do in all aspects of your life, especially now that the folks are working hybrid often working from home with equipment from the school, the stakes are much higher and people have a lot of our data at home and so knowing how to protect that is important, so we definitely run those programs in a way that we want to be engaging and fun and memorable so that when they do encounter those things, especially email threats, they know how to handle them. >> So when you say fun, it's like you come up with an example that we can laugh at until, of course, we click on that bad link, but I'm sure you can come up with a lot of interesting and engaging examples, is that what you're talking about, about having fun? >> Yeah, I mean, sometimes they are kind of choose your own adventure type stories, you know, they stop as they run, so they're telling a story and they stop and you have to answer questions along the way to keep going, so, you're not just watching a video, you're engaged with the story of the topic, yeah, and that's what I think is memorable about it, but it's also, that's what makes it fun, you're not just watching some talking head saying, you know, to avoid shortened URLs or to check, to make sure you know the sender of the email, no, you're engaged in a real life scenario story that you're kind of following and making choices along the way and finding out was that the right choice to make or maybe not? So, that's where I think the learning comes in. >> Excellent. Okay, gentlemen, thanks so much, appreciate your time, Kevin, Drew, awesome having you in theCUBE. >> My pleasure, thank you. >> Yeah, great to be here, thanks. >> Okay, in a moment, I'll give you some closing thoughts on the changing world of data protection and the evolution of cloud object storage, you're watching theCUBE, the leader in high tech enterprise coverage. >> Announcer: Some things just don't make sense, like showing up a little too early for the big game. >> How early are we? >> Couple months. Popcorn? >> Announcer: On and off season, the Red Sox cover their bases with affordable, best in class cloud storage. >> These are pretty good seats. >> Hey, have you guys seen the line from the bathroom? >> Announcer: Wasabi Hot Cloud Storage, it just makes sense. >> You don't think they make these in left hand, do you? >> We learned today how a serial entrepreneur, along with his co-founder saw the opportunity to tap into the virtually limitless scale of the cloud and dramatically reduce the cost of storing data while at the same time, protecting against ransomware attacks and other data exposures with simple, fast storage, immutability, air gaps, and solid operational processes, let's not forget about that, okay? People and processes are critical and if you can point your people at more strategic initiatives and tasks rather than wrestling with infrastructure, you can accelerate your process redesign and support of digital transformations. Now, if you want to learn more about immutability and Object Block, click on the Wasabi resource button on this page, or go to wasabi.com/objectblock. Thanks for watching Secure Storage Hot Takes made possible by Wasabi. This is Dave Vellante for theCUBE, the leader in enterprise and emerging tech coverage, well, see you next time. (gentle upbeat music)
SUMMARY :
and secure solution on the market. the speed with which you and I want to get your perspectives but applied to cloud storage is, you know, you about data sovereignty. one is, you know, if you're and the elimination of and every country, you know, and how do you think in the cloud, as opposed to, you know, In addition to which, you know, you don't want to be wasting your time money to buy a Ferrari ♪ hey Drew, good to see you again, Dave, great to be the pandemic, Zero Trust, but you know, done properly and using some of the best, you know, you could talk a little bit and, you know, put in your private keys, not having to run, you know, and the best part is from vine to vine, you know, and so forth, you know, the Excellent, so thank you for that. and most folks find that within, you know, to see that you guys have done that to be a need for, you know, All right, Drew, thank you for that, Hey, I'm Nate, and we wrote We know you are, but this go to wasabi.com ♪ ♪ Cause if we had Wasabi's immutability ♪ in the beautiful Northwest Hello, it's nice to be Yeah, you bet. that supports the school in the area of IT security, in terms of all the operations we do and the right strategies to do these days in including, you know, and across the board, right? kind of the applications that you support planning, you know, in the and then it was, you know, and really looking into the technology Yeah, thank you for that. And I think, you know, as you know, right down the and then if you want to in learning what you do, you know, it's about the fact that, you know, and you have to answer awesome having you in theCUBE. and the evolution of cloud object storage, like showing up a little the Red Sox cover their it just makes sense. and if you can point your people
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Varun Talwar, Tetrate | Kubecon + Cloudnativecon Europe 2022
(upbeat music) >> Narrator: theCUBE presents KubeCon and CloudNativeCon Europe 2022, brought to you by Red Hat, the Cloud Native Computing Foundation and its ecosystem partners. >> Welcome to Valencia, Spain, in KubeCon, CloudNativeCon Europe 2022. It's near the end of the day, that's okay. We have plenty of energy because we're bringing it. I'm Keith Townsend, along with my cohost, Paul Gillon. Paul, this has been an amazing day. Thus far we've talked to some incredible folks. You got a chance to walk the show floor. >> Yeah. >> So I'm really excited to hear what's the vibe of the show floor, 7,500 people in Europe, following the protocols, but getting stuff done. >> Well, at first I have to say that I haven't traveled for two years. So getting out to a show by itself is an amazing experience. But a show like this with all the energy and the crowd too, enormously crowded at lunchtime today. It's hard to believe how many people have made it all the way here. Out on the floor the booth are crowded, the demonstrations are what you would expect at a show like this. Lots of code, lots of block diagrams, lots of architecture. I think the audience is eating it up. They're on their laptops, they're coding on their laptops. And this is very much symbolic of the crowd that comes to a KubeCon. And it's just a delight to see them out here having so much fun. >> So speaking of lots of code, we have Varun Talwar, co-founder of Tetrate. But, I just saw I didn't realize this, Istio becoming part of CNCF. What's the latest on Istio? >> Yeah, Istio is, it was always one of those service mesh projects which was very widely adopted. And it's great to see it going into the Cloud Native Computing Foundation. And, I think what happened with Kubernetes like just became the de-facto container orchestrator. I think similar thing is happening with Istio and service mesh. >> So. >> I'm sorry, go ahead Keith. What's the process like of becoming adopted by and incubated by the CNCF? >> Yeah, I mean, it's pretty simple. It's an application process into the foundation where you say, what the project is about, how diverse is your contributor base, how many people are using it. And it goes through a review of, with TOC, it goes through a review of like all the users and contributors, and if you see a good base of deployments in production, if you see a diverse community of contributors, then you can basically be part of the CNCF. And as you know, CNCF is very flexible on governance. Basically it's like bring your own governance. Then the projects can basically seamlessly go in and get into incubation and gradually graduate. >> Another project close and dear to you, Envoy. >> Yes. >> Now I've always considered Envoy just as what it is. It's a, I've always used it as a low balancer type thing. So, I've always considered it some wannabe gateway of proxy. But Envoy gateway was announced last week. >> Yes. So Envoy is, basically won the data plane war of in cloud native workloads, right? And, but, and this was over the last five years. Envoy was announced even way before Istio, and it is used in various deployment models. You can use it as a front load balancer, you can use it as an ingress in Kubernetes, you can use it as a side car in a service mesh like Istio. And it's lightweight, dynamically programmable, very open with the right community. But, what we looked at when we looked at the Envoy base was, it still wasn't very approachable for application developers. Like, when you still see like the nouns that it uses in terms of clusters and so on is not what an application developer was used to. And, so Envoy gateway is really an effort to make Envoy even more stronger out of the box for an application developer to use it as an API gateway, right? Because if you think about it, ultimately people, developers, start deploying workloads onto their Kubernetes clusters, they need some functionality like an API gateway to expose their services and you want to make it really, really easy and simple, right? I often say like, what Engine X was to like static websites, like Envoy gateway will be to like APIs. And it's really, the community coming together, we are a big part, but also VMware, and as well as end users, like in this case Fidelity, who is investing heavily into Envoy and API gateway use cases, joining forces saying, let's do this in upstream Envoy. >> I'd like to go back Istio, because this is a major step in Istio's development. Where do you see Istio coming into the picture? And Kubernetes is already broadly accepted, is Istio generally adopted as an after, an after step to Kubernetes, or are they increasingly being adopted together? >> Yeah. So, usually it's adopted as a follow on step. And, the reason is, primarily the learning curve, right? It's just to get used to all the Kubernetes and, it takes a while for people to understand the concepts, get applications going, and then, Istio was made to basically solve, three big problems there, right? Which is around, observability, traffic management, and security, right? So as people deploy more services they figure out, okay, how do I connect them? How do I secure all the connections? And how do I do more fine grain routing? I'm doing more frequent deployments with Kubernetes, but I would like to do canary releases, to make safer roll outs, right? And those are the problems that Istio solves. And I don't really want to know the metrics of like, yes, it'll be, it's good to know all the node level, and CPO level metrics, but really what I want to know is, how are my services performing? Where is the latency, right? Where is the error rate? And those are the things that Istio gives out of the box. So that's like a very natural next step for people using Kubernetes. And, Tetrate was really formed as a company to enable enterprises to adopt Istio, Envoy, and service mesh in their environment, right? So we do everything from, run an academy for like courses and certifications on Envoy and Istio, to a distribution, which is, compliant with various rules and tooling, as well as a whole platform on top of Istio, to make it usable in deployment in a large enterprise. >> So paint the end to end for me for Istio and Envoy. I know they can be used in similar fashions as like side cars, but how do they work together to deliver value? >> Yeah. So if you step back from technology a little bit, right? And you make sort of, look at what customers are doing and facing, right? Really it is about, they have applications, they have some applications that new workloads going into Kubernetes and cloud native, they have a lot of legacy workloads, a lot of workloads in VMs, and with different teams in different clouds or due to acquisitions, they're very heterogeneous, right? Now our mission, Tetrate's mission is power the world's application traffic. But really the business value that we are going after is consistency of application operations, right? And I'll tell you how powerful that is. Because the more places you can deploy Envoy into, the more places you can deploy Istio into, the more consistency you can get for the value pillars of observability, traffic management, and security, right? And really if you think about what is the journey for an enterprise to migrate from VM workloads into Kubernetes, or from data centers into cloud, the challenges are around security and connectivity, right? Because if it's Kubernetes fabric, the same Kubernetes app and data center can be deployed exactly as it is in cloud, right? >> Keith: Right. >> So why is it hard to migrate to cloud, right? The challenges come in the security and networking layer, right? >> So let's talk about that with some granularity and you can maybe give me some concrete examples. >> Right. >> Because as I think about the hybrid infrastructure, where I have VMs on-premises, cloud native stuff running in the public cloud or even cloud native next to VMs. >> Varun: Right. >> I do security differently when I'm in the VM world. I say, you know what? This IP address can't talk to this Oracle database server. >> Right. >> Keith: That's not how cloud native works. >> Right. >> I can't say, if I have a cloud native app talking to a Oracle database, there's no IP address. >> Yeah. >> Keith: But how do I secure the communication between the two? >> Exactly. So I think you hit it, well, straight on the head. So which is, with things like Kubernetes IP is no longer a really a valid noun, where you can say because things will auto scale either from Kubernetes or the cloud autoscalers. So really the noun that is becoming now is service. So, and I could have many instances of it. They could, will scale up and down. But what I'm saying is, this service, which you know some app server, some application can talk to the Oracle service. >> Keith: Hmm. >> And what we have done with the Tetrate Service Bridge which is why we call our platform service bridge, because it's all about bridging all the services, is whatever you're running on the VM can be onboarded onto the mesh, like as if it were a Kubernetes service, right? And then my policy around this service can talk to this service, is same in Kubernetes, is same for Kubernetes talking to VM, it's same for VM to VM, both in terms of access control. In terms of encryption what we do is, because it's, the Envoy proxy goes everywhere and the traffic is going through them we actually take care of distributing certs, encrypting everything, and it becomes, and that is what leads to consistent application operations. And that's where the value is. >> We're seeing a lot of activity around observability right now, a lot of different tools, both open source and proprietary Istio, certainly part of the open telemetry project, and I believe you're part of that project? >> Yes. >> But the customers are still piecing together a lot of tools on their own. >> Right. >> Do you see a more coherent framework forming around observability? >> I think very much so. And there are layers of observability, right? So the thing is, like if we tell you there is latency between these two services at L seven layer, the first question is, is it the service? Is it the Envoy? Or is it the network? It sounds like a very simple question. It's actually not that easy to answer. And that is one of the questions we answer in like platforms like ours, right? But even that is not the end. If it's neither of these three, it could be the node, it could be the hardware underneath, right? And those, you realize like those are different observability tools that work on each layer. So I think there's a lot of work to be done to enable end users to go from IP, like from top to bottom, to make, reduce what is called MPTR or meantime to, resolution of an issue where is the problem. But I think with tools like what is being built now, it is becoming easier, right? It is because, one of the things we have to realize is with things like Kubernetes we made the development of microservices easier, right? And that's great, But as a result, what is happening is that more things are getting broken down. So there is more network in between. So there's, harder it gets to troubleshoot, harder it gets to secure everything, harder it gets to get visibility from everywhere, right? So I often say like, actually if you're going, embarking down microservices journey, you actually are... You better have a platform like this. Otherwise, you're taking on operational cost. >> Wow, Jevons paradox, the more accessible we make something, the more it get used, the more complex it is. That's been a theme here at KubecCon, CloudNativeCon Europe 2022, from Valencia, Spain. I'm Keith Townsend, along with my cohost Paul Gillon. And you're watching theCUBE, the leader in high tech coverage. (upbeat music)
SUMMARY :
the Cloud Native Computing Foundation It's near the end of the day, So I'm really excited to hear Out on the floor the booth are crowded, What's the latest on Istio? like just became the de-facto What's the process like of becoming be part of the CNCF. and dear to you, Envoy. So, I've always considered it Envoy even more stronger out of the box coming into the picture? Where is the latency, right? So paint the end to end the more places you can deploy Istio into, and you can maybe give me in the public cloud I say, you know what? how cloud native works. talking to a Oracle database, So really the noun that is and the traffic is going through them But the customers are And that is one of the questions we answer the more accessible we make something,
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Mai Lan Tomsen Bukovec & Wayne Duso, AWS | AWS re:Invent 2021
>>Hi, buddy. Welcome back to the keeps coverage of AWS 2021. Re-invent you're watching the cube and I'm really excited. We're going to go outside the storage box. I like to say with my lawn Thompson Bukovac, who's the vice-president of block and object storage and Wayne Duso was a VP of storage edge and data governance guys. Great to see you again, we saw you at storage day, the 15 year anniversary of AWS, of course, the first product service ever. So awesome to be here. Isn't it. Wow. >>So much energy in the room. It's so great to see customers learning from each other, learning from AWS, learning from the things that you're observing as well. >>A lot of companies decided not to do physical events. I think you guys are on the right side of history. We're going to show you, you weren't exactly positive. How many people are going to show up. Everybody showed. I mean, it's packed house here, so >>Number 10. Yeah. >>All right. So let's get right into it. Uh, news of the week. >>So much to say, when you want to kick this off, >>We had a, we had a great set of announcements that Milan, uh, talked about yesterday, uh, in her talk and, and a couple of them in the file space, specifically a new, uh, member of the FSX family. And if you remember that the FSA, Amazon FSX is, uh, for customers who want to run fully managed versions of third party and open source file systems on AWS. And so yesterday we announced a new member it's FSX for open ZFS. >>Okay, cool. And there's more, >>Well, there's more, I mean, one of the great things about the new match file service world and CFS is it's powered by gravity. >>It is taught by Gravatar and all of the capabilities that AWS brings in terms of networking, storage, and compute, uh, to our customers. >>So this is really important. I want the audience to understand this. So I I've talked on the cube about how a large proportion let's call it. 30% of the CPU cycles are kind of wasted really on things like offloads, and we could be much more efficient, so graviton much more efficient, lower power and better price performance, lower cost. Amazon is now on a new curve, uh, cycles are faster for processors, and you can take advantage of that in storage it's storage users, compute >>That's right? In fact, you have that big launch as well for luster, with gravity. >>We did in fact, uh, so with, with, uh, Yasmin of open CFS, we also announced the next gen Lustre offering. And both of these offerings, uh, provide a five X improvement in performance. For example, now with luster, uh, customers can drive up to one terabyte per second of throughput, which is simply amazing. And with open CFS, right out of, right out of the box at GA a million IOPS at sub-millisecond latencies taking advantage of gravitas, taking advantage of our storage and networking capabilities. >>Well, I guess it's for HPC workloads, but what's the difference between these days HPC, big data, data intensive, a lot of AI stuff, >>All right. You to just, there's a lot of intersection between all of those different types of workloads they have, as you said, and you know, it all, it all depends on it all matters. And this is the reason why having the suite of capabilities that the, if you would, the members of the family is so important to our guests. >>We've talked a lot about, it's really can't think about traditional storage as a traditional storage anymore. And certainly your world's not a box. It's really a data platform, but maybe you could give us your point of view on that. >>Yeah, I think, you know, if, if we look, if we take a step back and we think about how does AWS do storage? Uh, we think along multiple dimensions, we have the dimension that Wayne's talking about, where you bring together the power of compute and storage for these managed file services that are so popular. You and I talked about, um, NetApp ONTAP. Uh, we went into some detail on that with you as well, and that's been enormously popular. And so that whole dimension of these managed file services is all about where is the customer today and how can we help them get to the cloud? But then you think about the other things that we're also imagining, and we're, re-imagining how customers want to grow those applications and scale them. And so a great example here at reinvent is let's just take the concept of archive. >>So many people, when they think about archive, they think about taking that piece of data and putting it away on tape, putting it away in a closet somewhere, never pulling it out. We don't think about archive like that archive just happens to be data that you just aren't using at the moment, but when you need it, you need it right away. And that's why we built a new storage class that we launched just yesterday, Dave, and it's called glacier instead of retrieval, it has retrieval and milliseconds, just like an Esri storage class has the same pricing of four tenths of a cent as glacier archive. >>So what's interesting at the analyst event today, Adam got a question about, and somebody was poking at him, you know, analysts can be snarky sometimes about, you know, price, declines and so forth. And he said, you know, one of the, one of the things that's not always shown up and we don't always get credit for lowering prices, but we might lower costs. And there's the archive and deep archive is an example of that. Maybe you could explain that point of view. >>Yeah. The way we look at it is that our customers, when they talk to us about the cost of storage, they talked to us about the total cost of the storage, and it's not just storing the data, it's retrieving it and using it. And so we have done an amazing amount across all the portfolio around reducing costs. We have glacier answer retrieval, which is 68% cheaper than standard infrequent access. That's a big cost reduction. We have EBS snapshots archive, which we introduced yesterday, 75% cheaper to archive a snapshot. And these are the types of that just transform the total cost. And in some cases we just eliminate costs. And so the glacier storage class, all bulk retrievals of data from the glacier storage class five to 12 hours, it's now free of charge. If you don't even have to think about, we didn't even reduce it. We just eliminated the cost of that data retrieval >>And additive to what Milan said around, uh, archiving. If you look at what we've done throughout the entire year, you know, a interesting statistic that was brought up yesterday is over the course of 2021, between our respective teams, we've launched over 105 capabilities for our customers throughout this year. And in some of them, for instance, on the file side for EFS, we launched one zone which reduced, uh, customer costs by 47%. Uh, you can now achieve on EFS, uh, cost of roughly 4.30 cents per gigabyte month on, uh, FSX, we've reduced costs up to 92%, uh, on Lustre and FSX for windows and with the introduction of ONTAP and open CFS, we continue those forward, including customers ability to compress and Dedoose against those costs. So they ended up seeing a considerable savings, even over what our standard low prices are. >>100 plus, what can I call them releases? And how can you categorize those? Are they features of eight? Do they fall into, >>Because they range for major services, like what we've launched with open ZFS to major features and really 95 of those were launched before re-invent. And so really what you have between the different teams that work in storage is you have this relentless drive to improve all the storage platforms. And we do it all across the course of the year, all across the course of the year. And in some cases, the benefit shows up at no cost at all to a customer. >>Uh, how, how did this, it seems like you're on an accelerated pace, a S3 EBS, and then like hundreds of services. I guess the question is how come it took so long and how is it accelerating now? Is it just like, there was so much focus on compute before you had to get that in place, or, but now it's just rapidly accessing, >>I I'll tell you, Dave, we took the time to count this year. And so we came to you with this number of 106, uh, that acceleration has been in place for many years. We just didn't take the time to couch. Correct. So this has been happening for years and years. Wayne and I have been with AWS for, for a long time now for 10 plus years. And really that velocity that we're talking about right now that has been happening every single year, which is where you have storage today. And I got to tell you, innovation is in our DNA and we are not going to stop now >>So 10 years. Okay. So it was really, the first five years was kind of slow. And then >>I think that's true at all. I don't think that try, you know, if you, if you look at, uh, the services that we have, we have the most complete portfolio of any cloud provider when it comes to storage and data. And so over the years, we've added to the foundation, which is S3 and the foundation, which is EBS. We've come out with a number of storage services in the, in the file space. Now you have an entire suite of persistent data stores within AWS and the teams behind those that are able to accelerate that pace. Just to give you an example, when I joined 10 years ago, AWS launched within that year, roughly a hundred and twenty, a hundred and twenty eight services or features our teams together this year have launched almost that many, just in those in, just in this space. So AWS continues to accelerate the storage teams continue to accelerate. And as my line said, we just started counting >>The thing. And if you think about those first five years, that was laying the baseline to launch us three, to launch EBS, to get that foundation in place, get lifecycle policies in place. But really, I think you're just going to see an even faster acceleration that number's going up. >>No, I that's what I'm saying. It does appear that way. And you had to build a team and put teams in place. And so that's, you know, part of the equation. But again, I come back to, it's not even, I don't even think of it as storage anymore. It's it's data. People are data lake is here to stay. You might not like the term. We always use the joke about a data ocean, but data lake is here to say 200,000 data lakes. Now we heard Adam talk about, uh, this morning. I think it was Adam. No, it was Swami. Do you want a thousand data lakes in your customer base now? And people are adding value to that data in new ways, injecting machine intelligence, you know, SageMaker is a big piece of that. Tying it in. I know a lot of customers are using glue as catalogs and which I'm like, wow, is glue a catalog or, I mean, it's just so flexible. So what are you seeing customers do with that base of data now and driving new business value? Because I've said last decade plus has been about it transformation. And now we're seeing business transformation. Maybe you could talk about that a little bit. >>Well, the base of every data lake is going to be as three yesterday has over 200 trillion objects. Now, Dave, and if you think about that, if you took every person on the planet, each of those people would have 26,000 S3 objects. It's gotten that big. And you know, if you think about the base of data with 200 trillion plus objects, really the opportunity for innovation is limitless. And you know, a great example for that is it's not just business value. It's really the new customer experiences that our customers are inventing the NFL. Uh, they, you know, they have that application called digital athlete where, you know, they started off with 10,000 labeled images or up to 20,000 labeled images now. And they're all using it to drive machine learning models that help predict and support the players on the field when they start to see things unfold that might cause injury. That is a brand new experience. And it's only possible with vast amounts of data >>Additive to when my line said, we're, we're in you talk about business transformation. We are in the age of data and we represent storage services. But what we really represent is what our customers hold one of their most valuable assets, which is their data. And that set of data is only growing. And the ability to use that data, to leverage that data for value, whether it's ML training, whether it's analytics, that's only accelerated, this is the feedback we get from our customers. This is where these features and new capabilities come from. So that's, what's really accelerating our pace >>Guys. I wish we had more time. I'd have to have you back because we're on a tight clock here, but, um, so great to see you both especially live. I hope we get to do more of this in 2022. I'm an optimist. Okay. And keep it right there, everybody. This is Dave Volante for the cube you're leader in live tech coverage, right back.
SUMMARY :
Great to see you again, we saw you at storage day, the 15 year anniversary of AWS, So much energy in the room. I think you guys are on the right side of history. Uh, news of the week. And if you remember that the FSA, And there's more, Well, there's more, I mean, one of the great things about the new match file service world and CFS is it's powered It is taught by Gravatar and all of the capabilities that AWS brings a new curve, uh, cycles are faster for processors, and you can take advantage of that in storage In fact, you have that big launch as well for luster, with gravity. And both of these offerings, You to just, there's a lot of intersection between all of those different types of workloads they have, as you said, but maybe you could give us your point of view on that. Uh, we went into some detail on that with you as well, and that's been enormously popular. that you just aren't using at the moment, but when you need it, you need it right away. And he said, you know, one of the, one of the things that's not always shown up and we don't always get credit for And so the glacier storage class, the entire year, you know, a interesting statistic that was brought up yesterday is over the course And so really what you have between the different there was so much focus on compute before you had to get that in place, or, but now it's just And so we came to you And then I don't think that try, you know, if you, And if you think about those first five years, that was laying the baseline to launch us three, And so that's, you know, part of the equation. And you know, a great example for that is it's not just business value. And the ability to use that data, to leverage that data for value, whether it's ML training, I'd have to have you back because we're on a tight clock here,
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Tarkan Maner & Rajiv Mirani, Nutanix | Global .NEXT Digital Experience 2020
>> Narrator: From around the globe, it's theCUBE with coverage of the Global .NEXT Digital Experience brought to you by Nutanix. >> Welcome back, I'm Stu Miniman and this is theCUBE's coverage of the Nutanix .NEXT Digital Experience. We've got two of the c-suite here to really dig into some of the strategy and partnerships talked at their annual user conference. Happy to welcome back to the program two of our CUBE alumni first of all, we have Tarkan Maner. He is the Chief Customer Officer at Nutanix and joining us also Rajiv Mirani, he is the Chief Technology Officer, CTO. Rajiv, Tarkan, great to see you both. Thanks so much for joining us on theCUBE. >> Great to be back. >> Good to see you. >> All right. So Tarkan talk about a number of announcements. You had some big partner executives up on stage. As I just talked with Monica about, Scott Guthrie wearing the signature red polo, you had Kirk Skaugen from Lenovo of course, a real growing partnership with Nutanix, a bunch of others and even my understanding the partner program for how you go to market has gone through a lot. So a whole lot of stuff to go into, partnerships, don't need to tackle it all here upfront, but give us some of the highlights from your standpoint. >> I'll tell this to my dear friend Rajiv and I've been really busy, last few months and last 12 months have been super, super busy for us. And as you know, the latest announcements we made the new $750 million investment from Bain capital, amazing if by 20 results, Q4, big results. And obviously in the last few months big announcements with AWS as part of our hybrid multicloud vision and obviously Rajiv and I, we're making sale announcements, product announcements, partner announcements at .NEXT. So at a high level, I know Rajiv is going to cover this a little bit more in detail, but we covered everything under these three premises. Run better, run faster and run anywhere. Without stealing the thunder from Rajiv, but I just want to give you at a high level a little bit. What excites us a lot is obviously the customer partner intimacy and all this new IP innovation and announcement also very strong, very tight operational results and operational execution makes the company really special as a independent software vendor in this multicloud era. Obviously, we are the only true independent software vendor to do not run a business in a sense with fast growth. Timed to that announcement chain we make this big announcement with Azure partnership, our Nutanix portfolio under the Nutanix cluster ran now available as Bare-Metal Service on Azure after AWS. The partnership is new with Azure. We just announced the first angle of it. Limited access customers are taking it to look at the service. We're going to have a public preview in a few months, and more to come. And obviously we're not going to stop there. We have tons of work going on with other cloud providers, as well. Tying that, obviously, big focus with our Citrix partnership globally around our end user computing business as Rajiv will outline further, our portfolio on top of our digital infrastructure, tying the data center services, DevOps services, and you user computing services, Citrix partnership becomes a big one, and obviously you're tying the Lenovo and HP partnership to these things as the core platforms to run that business. It's creating tons of opportunity and I'll cover a little bit more further in a bit more detail, but one other partnership we are also focusing on, our Google partnership and on desktop as a service. So these are all coming to get around data center, DevOps, and user competent services on top of that amazing infrastructure Rajiv and team built over the past 10 years. I see Rajiv as one of our co-founders and one side with the right another. So the business is obviously booming in multiple fronts. This, if by 2020 was a great starting point with all this investment, that bank capital $750 million, big execution, ACD transition, software transition. And obviously these cloud partnerships are going to make big differences moving forward. >> Yeah, so Rajiv, want to build off what Tarkan was just saying there, that really coming together, when I heard the strategy run better, run faster, run anywhere, it really pulled together some of the threads I've been watching at Nutanix the last couple of years. There's been some SaaS solutions where it was like, wait, I don't understand how that ties back to really the core of what Nutanix does. And of course, Nutanix is more than just an HCI company, it's software and that simplicity and the experience as your team has always said, trying to make things invisible, but help if you would kind of lay out, there's a lot of announcements, but architecturally, there were some significant changes from the core, as well as, if I'm reading it right, it feels like the portfolio has a little bit more cohesion than I was seeing a year or so ago. >> Yeah, actually the theme around all these announcements is the same really, it's this ability to run any application, whether it's the most demanding traditional applications, the SAP HANA, the Epics and so on, but also the more modern cloud native application, any kind of application, we want the best platform. We want a platform that's simple, seamless, and secure, but we want to be able to run every application, we want to run it with great performance. So if you look at the announcements that are being made around strengthening the core with the Block Store, adding things like virtual networking, as well as announcements we made around building Karbon platform services, essentially making it easier for developers to build applications in a new cloud native way, but still have the choice of running them on premises or in the cloud. We believe we have the best platform for all of that. And then of course you want to give customers the optionality to run these applications anywhere they want, whether that's a private cloud, their own private data centers and service providers, or in the public cloud and the hyperscalers. So we give them that whole range of choices, and you can see that all the announcements fit into that one theme: any application, anywhere, that's basically it. >> Well, I'd like you to build just a little bit more on the application piece. The developer conversation is something we've been hearing from Nutanix the last couple of years. We've seen you in the cloud native space. Of course, Karbon is your Kubernetes offering. So the line I used a couple of years ago at .NEXT was modernize the platform, then you can modernize all of your applications on top of it, so where does Nutanix touch the developer? You know, how does that, building new apps, modernizing my apps tie into the Nutanix discussion? >> Yeah great question, Stu. So last year we introduced Karbon for the first time. And if you look at Karbon, the initial offering was really targeted at an IT audience, right? So it's basically the goal was to make Kubernetes management itself very easy for the IT professional. So essentially, whether you were creating a Nutanix, sorry, a Karbon cluster, or scaling it out or upgrading Kubernetes itself. We wanted to make that part of the life cycle very, very simple for IT. For the developer we offered the Vanilla Kubernetes system. And this was something that developers asked us for again and again, don't go around mucking around with Kubernetes itself, we want Vanilla Kubernetes, we want to use our Kube Cuddle or the tools that we're used to. So don't go fork off and build the economic Kubernetes distribution. That's the last thing we want. So we had a good platform already, but then we wanted to take the next step because very few applications today are self contained in the sense that they run entirely within themselves without dependence on external services, especially when you're building in the cloud, you have access, suppose you're building an Amazon, you have access to RDS to manage your databases. Don't have to manage it yourself. Your object stores, data pipelines, all kinds of platform services available, which really can accelerate development of your own applications, right? So we took the stand said, look, this is good. This is important. We want to give developers the same kind of services, but we want to make it much more democratic in the sense that we want them to be able to run these applications anywhere, not just on AWS or not just on GCP. And that's really the genesis of Kubernetes platform services. We've taken the most common services people use in the cloud and made them available to run anywhere. Public cloud, private cloud, anywhere. So we think it's very exciting. >> Tarkan, we had, you and I had a discussion with one of your partners on how this hybrid cloud scenario is playing out at HP discover, of course, with the GreenLake solution. I'm curious from your standpoint, all the things that Rajiv was just talking about, that's a real change, if you think about kind of the traditional infrastructure people they're needing to move up the stack. You've got partnerships with the hyperscalers. So help explain a little bit the ripple effect as Nutanix helps customers simplify and modernize, how your partners and your channel can still participate. >> So perfect, look, as you heard from Rajiv, this is like all coming super nicely together. As Rajiv outlined, with the data center, operations and services, DevOps services, to enable that faster time to market capable, that Kubernetes offering and user services, our desktop services on top of that classical industry-leading, record-breaking digital infrastructure. That hybrid cloud infrastructure we call today. You play this game with devoting a little bit, as you remember, we used to call hyper-converged infrastructure. Now we call it of the hybrid cloud infrastructure, in a sense. All those pieces coming together nicely end-to-end, unlike any other vendor, and from a software only perspective, we're not owned by a hardware company which is making a huge difference. Gives us tremendous level of flexibility, democratization, and freedom of choice. Cloud to us is basically is not a destination. It's an operating model. You heard me say this before, as Rajiv also said. So in our strategy, when you look at it, Stu, we have a three pronged approach on top of our on-prem, marketplace on-prem capable. There's been 17,000+ customers, 7,000+ channel and strategic partners. Also as part of this big announcement, this new partner program we called Elevate, on the Elevate brand, bringing all the channel partners, ISEs, platform partners, hyperscalers, Telco XPSs, and our global market partners all in one bucket where we manage them, simply the incentives. It's a very simple way to execute that opposite Chris Kaddaras, our Chief Revenue Officer, as well as Christian Alvarez, our Chief Partner Officer sort of speaking on global goal, the channels, working together tightly with our organization on the product front to deliver this. So one key point I want to share with you, tying to what Rajiv said earlier on the multicloud area, obviously we realize customers are looking for freedom of choice. So we have our own cloud, Nutanix cloud, under the XI brand. X-I, XI brand, which is basically our own logistics, our own basically, serviceability, payment capability and our software, running off our portal partnerships like Equinix delivering that software as a service. We started with disaster recovery as a service, very fast growing business. Now we announced our GreenLake partnership with HPE in the backend that data center as a service might be actually HP GreenLake if the customer wants it. So that partnership creates huge opportunities for us. Obviously, on top of that, we have these Telco XSP partnerships. As we're announcing partnerships with some amazing source providers like OBH. You heard today from college Sudani in society general, they are not only using AWS and Azure and Nutanix on-prem and Nutanix clusters on Azure and AWS for their internal departments, but they also use a local service provider in France for data gravity and data security reasons. A French company dealing with French business and data centers, with that kind of data governance requirements within the country, within the borders of France. So in that context we are also the service provider partnerships coming in. We're going to announce a partnership with OVHS vault, which is a big deal for us. And tying to this, as Rajiv talked about, our clusters portfolio, our portfolio basically running on-prem on AWS and Azure. And we're not going to stop there obviously. So give choice to the customers. So as Rajiv said, basically, Nutanix can run anywhere. On top of that we announced just today with Capgemini, a new dev test environment is a service. Where Rajiv's portfolio, end-to-end, data center, DevOps, and some of the UC capabilities for dev test reasons can run as a service on Capgemini cloud. We have similar partnerships with HCL, similar partnerships with (indistinct) and we're super excited for this .NEXT in FI21 because of those reasons. >> Rajiv, one of the real challenges we've had for a long time is, I want to be able to have that optionality. I want to be able to live in any environment. I don't want to be stuck in an environment, but I want to be able to take advantage of the innovation and the functionality that's there. Can you give us a little bit of insight? How do you make sure that Nutanix can live these environments like the new Azure partnership and it has the Nutanix experience, yet I can take advantage of, whether it be AI or some other capabilities that a Google, an Amazon or a Microsoft has. How do you balance that? You have to integrate with all of these partners yet, not lock out the features that they keep adding. >> Right, absolutely, that's a great point, Stu. And that's something we pride ourselves on, that we're not taking shortcuts. We're not trying to create our own bubble in these hyperscalers, where we run in an isolated environment and can't interact with the rest of the services they offer. And that's primarily why we have spent the time and the effort to integrate closely with their virtual networking, with the services that they provide and essentially offer the best of both worlds. We take the Nutanix stack, the entire software stack, everything we build from top to bottom, make it available. So the same experience is there with upgrades and prism, the same experience is available on-prem and in the cloud. But at the same time, as you said, we want people to have full speed access to cloud services. There's things the cloud is doing that will be very difficult for anybody to do. I mean, the kind of thing that, say Google does with AI, or Azure does with databases. It's remarkable what these guys are doing, and you want to take advantage of those services. So for us, it's very, very important, that access is not constrained in any way, but also that customers have the time to make this journey, right? If they want to move to cloud today, they can do that. And then they can refactor and redevelop their applications over time and start consuming these sales. So it's not an all or nothing proposition. It's not that you have to refactor it, rewrite before you can move forward. That's been extremely important for us and it's really topical right now, especially with this pandemic. I think one thing all of IT has realized is that you have to be agile. You have to be able to react to things and timeframes you never thought you needed to, right. So it's not just disaster recovery, but the amount of effort that's gone in the last few months in enabling a distributed workforce, who thought it would happen so quickly? But it's a kind of agility that, an optionality that we are giving to customers that really makes it possible. >> Yeah, absolutely. Right now, things are moving pretty fast. So let me let both of you have the final word. Give us a little bit viewpoint, as things are moving fast, what's on the plate? What should we be expecting to see from Nutanix and your ecosystem through the rest of 2020, Tarkan? >> So look, heard from us, Stu, I know you're talking to multiple folks and you had this discussions with us, end-to-end, and look for the company to be successful, customer partner intimacy, IP innovation, and execution, and operational excellence. Obviously, all three things need to come together. So in a sense, Stu, we just need to keep moving. I give this analogy a lot, as Benjamin Franklin says, the human beings are divided in three categories, you know? The first one is those who are immovable. They never move. Second category, those who, you know, are movable, you can move them if you try hard. And obviously third category, those who just move. Not only themselves, but they move others, like in a sense, in a nice way to refer to Benjamin Franklin, with one of our key founders in the US, in a sense as the founders of this company, with folks like Rajiv and other executives, and some of the newcomers, we a culture, which just keeps moving and the last 12 months, you've seen some of these. And obviously going back to the announcement day, AWS, now Azure, the Capgemini announcement then test as a service around some of the portfolio that Rajiv talked about or a Google partnership on desktop as a service, deep focus on Citrix globally with Azure, Google, and ourselves on-prem, off-prem. And obviously some of the big moves were making with some of the customers, it's going to continue. This is just the beginning. I mean, literally Rajiv and I are doing these .NEXT conferences, announcements, and so on. We're actually doing calls right now to basically execute for the next 12 months. We're planning the next 12 months' execution. So we're super excited now with this new Bain Capital investment, and also the partnership, the product, we're ready to rock and roll. So look forward to seeing you soon, Stu, and we're going to have more news to cover with you. >> Yeah, exactly right, Tarkan. I think as Tarkan said we are at the beginning of a journey right now. I think the way hybrid cloud is now becoming seamless opens up so many possibilities for customers, things that were never possible before. Most people when they talk hybrid cloud, they're talking about fairly separate environments, some applications running in the public cloud, some running on premises. Applications that are themselves hybrid that run across, or that can burst from one to the other, or can move around with both app and data mobility. I think the possibilities are huge. And it's going to be many years before we see the full potential of this platform. >> Well Rajiv and Tarkan, thank you so much for sharing all of the updates, congratulations on the progress, and absolutely look forward to catching up in the near future and watching the journey. >> Thanks, Stu. >> Thank you, Stu. >> And stay with us for more coverage here from the Nutanix .NEXT digital experience. I'm Stu Miniman, and as always, thank you for watching theCUBE. (bright music)
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Trey Layton, Dell EMC PowerOne | CUBEConversation, November 2019
>> From the Silicon Angle media office in Boston, Massachusetts, it's theCube. Now, here's your host, Stu Miniman. >> Hi and welcome to a special CUBE conversation. Happy to welcome back to the program Trey Layton who's the SVP of engineering with Dell EMC. Trey, great to see you. >> Hi Stu, how are you? >> I'm doing fantastic, thank you. So there's the devil technology summit happening in Austin, Texas. Let's not hide the lead, there's some news around things you've been working on for a while. Why don't you share the update with our audience? >> Well, myself and my team have been working on a new product that we are announcing at Dell technology summit called PowerOne and we are positioning in the market is autonomous infrastructure. It's a great combination of all the wonderful products in the Dell technologies portfolio combined with some very innovative automation that makes integrating the product an autonomous outcome. >> All right, first of all with the name power in it, we know that that's the branding that Dell likes. Something that's going to be with us for a while. You talk about all-in-one. You've got some history, we have some history back pulling various solution together, talk about compute, network and storage, what back in the day we called converged infrastructure. Explain how all-in-one you know, what what is the all in the all in one? >> So first of all, it's a system where you can get all of Dell technologies in one package. The next thing is about building on that decade's worth of experience of building converged products and learning about the different intricacies of integrating those products and instead of relying upon humans to integrate those technologies together to deliver an outcome for a customer, embedding that intelligence and software to make it easy for an operator to drive a configuration, to deliver an outcome for a customer to operate a modern data center environment. >> So it's exciting stuff Trey 'cause you know, the design principle before was let's simplify as much as we can, let's that entire rack if you will, be the unitive infrastructure that people manage, but what I hear you talking about, the automation and software and even you know, we're not replacing the humans, we're augmenting what they're doing by having automation take over. That's powerful stuff. We've talked about intelligence and automation for I'd say all of our careers. So explain a little bit do you know, this autonomous, what really you know, where is that automation and how come it is different today than it might have been five or 10 years ago? >> Well, you think about all the things that we've learned in 10 years of building a packaged product to actually deliver an outcome for a customer. Requiring some degree of manual intervention, but a significant amount of simplicity that we've built in those products to deliver an outcome. One of the things that's true about today is that as organizations are on a digital transformation journey, they are struggling with a high degree of intake of technology, while also maintaining the products that they manage on a daily basis to, quote-unquote keep the lights on. What we have done is say how can we take the innovations that we've built in our products that our infrastructure is code and how can we build software intelligence that understands based on the the operators desired outcome for an integration, we employ Dell engineering best practices to deliver that outcome. So a key element of the product is housing this intelligence and software that drives this automated outcome through best practices for how we engineer products together. >> All right Trey, you've got engineering. Bring us in a little aside of the team you know, building now in 2019. What are the pieces that you had? What's different about the team that you had to build this and is there a unique IP that your team and this product brings beyond what was already available in the marketplace? >> Yes, so first of all the team is a global team that we've actually been in the process of hiring in the last year plus, a year and a half plus and it's a very young team, different skill set. We learned very early on that if we're going to build a product with embedded automation, you needed to have experience and understanding, what are the best practices for integrating the technologies in the product, but simultaneously you needed people who understood how to write code that made that outcome possible and so really bringing and building a global team of DevOps minded individuals that understood open source technologies, that understood our VMware ecosystem, that understood the Dell EMC ecosystem and more importantly, the larger Dell technologies ecosystem for bringing those products together and I'll tell you, it's a diverse culture of individuals. What I'm most excited about is while we're very much focused on delivering VMware outcomes in this first release, the product that we've built is capable of delivering any type of outcome. Whether it be another type of virtualization environment or another type of application outcome. The software is designed to deliver an integration that is designed to support a customer's production operation. The intelligence or the product that we built to do that is called the PowerOne controller and embedded in that is software that a customer can drive either through a user interface or they can use automation technologies that they have in-house to call on this controller programmatically to execute those outcomes as opposed to being chained to a user interface that an operator has to learn as a new element of their environment. >> Yeah Trey, really reminds me of the conversations I've been having with customers over the last decade or more is that core understanding and building my computer infrastructure, my storage infrastructure, my networking infrastructure. I still need to understand some of those pieces, but it is much more about the software, the operating model and it's, as soon as we know, we're living in a software world. >> Well, it's interesting that you say that because you and I both know based on our history that there are complexities that we've worked to make simpler to operate, but a customer today struggles to have expertise dedicated to how do I build an underlying network fabric, how do I deploy a software virtualization layer on top of that Network fabric, how do I deploy storage arrays in a manner where the i/o is optimized not only for performance, but also for survivability. How do I carve up my computer sources in a manner that most efficiently supports the virtualization or container outcome that I'm deploying. There's a tremendous amount of skill that you need to have to employ the best practices to integrate all those technologies together and what we are doing is merely bringing those capabilities in software, so that an operator can say, I want to deploy this many cores with this much memory and associated to this much capacity of external storage and all the underlying in order configuration dependencies happen through the intelligence that we've built in automation to drive the right outcome for the customer. >> Okay, so Trey, when I've been digging into the software world and you talk to the people that are building applications, observability something that's been coming up a bunch. It's not just understanding what I have, but with the flows of information, Ansible, New Relic, that all talking about in a containerized micro-services world, there are different ways that I need to look at the entire system. How does that the kind of mindset and thinking fit into the design of PowerOne? >> Well, it's actually an age-old problem that we've had as we've began to have shared infrastructure to run, whether they be containerized services or virtualized services or contain running in virtualized services. It's how do we associate what's running to the underlying infrastructure so that if we have a problem in the underlying infrastructure that we're managing, that we target a resolution and that resolution could be increased performance so that that service can run better or it could be some type of underlying failure that we want to ensure that as survivability is kicked in, that we employ more resource to support expansion or just a continuation and burst of capability that's needed. When we build PowerOne, we thought about, it is a system. How do we give observability of that system in the context of a system to understand the associated dependencies so that we could quickly guide the operator to identifying the area that they needed to look at from an infrastructure perspective and either influence or simply respond to, instead of a more traditional mode of on-premises management is let me go find where the problem is and see if this fixes it. We have given observability to specifically identify where the issue is and enable the operator to go target that. >> All right, so Trey, you mentioned the traditional model of doing things. What does PowerOne mean for, say for example the X block is something you know, over a decade out there on the market, there's been lots of discussions forever. The Cisco stack, the Dell stack and VMware, you know, all those challenges. So tell us what this means for VX block? >> So first of all, I couldn't say enough good things about the V block team. It's a part of the organization that I'm in. We are very much committed to VxBlock engineering going forward and PowerOne is an expansion of our portfolio as opposed to a replacement of. We value our partnership with Cisco significantly, customers are committed to acquiring Cisco technologies in concert with our storage and data production products and Vxblock is all about giving customers an ability to have a converged experience with our storage technologies and a very unique experience that surrounds the offers that we deliver in that space. I will tell you that the automation that we're building in PowerOne is also something that we're targeting at our entire portfolio as opposed to just isolating into this one product. The dawn of autonomous infrastructure in our minds is not about isolating that technology to one product, but it's about bringing it to our entire portfolio of products to make our customers experiences better in managing and consuming the technologies they buy from us. >> Well, definitely something we've heard from Jeff Clark, Jeff Boudreau and the the team is the portfolio inside Dell EMC is going through a lot of simplification. So the whole autonomous infrastructure, PowerOne, how should we be thinking about where this fits kind of in the overall market? >> So it's very much includes our purpose-built storage portfolio technologies, our data protection, it includes our networking technologies and some unique automation capabilities that we've built in it to enable the IT operator to not have to worry about programming the fabric that we actually sense and understand the changes in the virtualization environment and deploy those configurations to the underlying network infrastructure and it's all about using our power edge portfolio of servers. So PowerOne is very much about consuming our data center technologies all in one package. That positioning in the market is complementary to customers who want to acquire VX block and are looking to pair Cisco technologies with Dell storage and more importantly, our HCI portfolio is a key element of our total offer to customers, where customers are looking to deploy infrastructure with software-defined storage characteristics and a very unique management experience and simplified operations, the HCI portfolio is there as well. So I often engage, specifically as we talk about the exclusively Dell portfolio. It's not an or conversation, it's an and. It's which applications are you deploying in your data center environment? What use cases are you deploying? How is the underlying infrastructure optimized to best address the goals that you have for that deployment? And so that's why we've taken a portfolio approach as opposed to one product to address every use case that's in the market. >> All right so Trey, we've talked a lot about operations and the way we design things. We haven't talked about cloud you know, and very much we believe cloud is as much an operating model as it is a place. It's a journey, not a destination, hybrid cloud is what most customers have today. They have multiple clouds, but we think one of the challenges of the day is is helping to get more value out of the some of what you have then, the individual pieces would be on their own. So where does PowerOne fit into the Dell Tech cloud story and we'd love to also hear just where it fits into the kind of the broader cloud discussions that we have when we're at a Dell show, a VMware show or beyond. >> Yeah, so it's an interesting discussion 'cause I think we begin to drift into saying a thing is cloud and I think more outcomes are cloud and it's a combination of software and infrastructure. PowerOne is an infrastructure element that is very much a part of the Dell technologies cloud strategy, but Dell technologies cloud is more about our entire portfolio of software and infrastructure participating in a common ecosystem to deliver that cloud outcome for customers and so Dell Tech, so PowerOne is absolutely a part of the Dell technologies cloud and we're excited about continuing down the automation enhancements path to make those outcomes more possible for customers as we go throughout time. So initially, PowerOne is very much an infrastructure resource in Dell technologies cloud. Over time, you're going to see even greater enhancements as you will see enhancements across our entire portfolio of technologies in participating in the larger Dell technologies cloud ecosystem story. >> Okay, and just to connect the dots 'cause when I look at those pieces and we talked about, as customers are doing hybrid cloud and multi-cloud, if they're VMware shop VCF is an important piece of that and that is part of VMware cloud on AWS, what they're doing with Azure, with Google. So this plugs in if you, you know, my words into that broader multi cloud, hybrid cloud discussion that customers are having. >> Absolutely, you think about it in layers. We are building an infrastructure layer at Dell EMC that enables that Dell technologies cloud layer to be possible through the VMware ecosystem of technologies, making that multi-cloud, that private cloud functionality realized. The VMware ecosystem is robust in its approach to supporting multi cloud environments as well as deploying the virtualization and container technologies that are critical for building in a modern enterprise and so we are an element of that strategy as opposed to the exclusive pinpoint resource in the strategy. All of the infrastructure products in the portfolio will participate in the Dell technologies cloud and we're excited about the innovation that we can bring and making the Dell technology strategy and vision more easily realized by our customers. >> Okay and Trey, when I think of PowerOne, what market segments do we think are going to kind of be the first customer for this and any specific rules or inside a customer that should be the ones looking at this? >> Yeah, that's a great question. So as we look at markets, you look at organizations who are looking to deploy a data center resource. We go as small as four servers, but candidly, if you're deploying a data center with four servers, there are other items in our portfolio that are better positioned like hyper-converged to start in that place, but if you're looking to deploy data center where you're looking to go 10s, 20s, hundreds of servers and you want external storage in the offer, then PowerOne is a great starting point. If you think about the scalability and we haven't touched on it, that we've built in PowerOne, at launch, we're going to support 270 servers in the architecture. Very quickly, we will expand into supporting what's described as a multi pod architecture where we will get beyond 700 servers and then move into thousands of servers where the architecture is actually designed to support over 7,600 servers. In concert with that, at day one, we will support multiple storage arrays as well. So deploying multiple Power Mac storage raised as a storage domain to support this. So when we talk about markets, we talk about the ability to address medium sized organizations data center use cases all the way up to the largest enterprises or service providers in the world data center deployments in an all Dell technology stack. >> All right, Trey, give us the final word on this. One or two things you want people to understand and know about PowerOne as they walk away. >> So I think the most important thing to take away is that this is a way to acquire Dell technologies products all in one place, in one package, in a incredible user experience. The way we're going to sustain that user experience and maintain that value proposition to customers is around the autonomous infrastructure packaging that we've built in the software that we're delivering. Utilizing some of the most advanced automation characteristics that are out there on the market, combined with some of the brightest minds to integrate these technologies together. Customers just need to get to production operations and when you can acquire a product that houses the intelligence to get to that outcome faster, there's a greater return on your invested capital when you're buying this product and that's the most important thing I think to walk away from. We are committed to helping get our our customers get to operational outcomes faster and these technologies that we've built in this product are delivering on that promise. >> Well Trey, congratulations to you and the team. We always love to see when you go behind the scenes, we kind of rebuild from a clean sheet of paper building on the history that you have, listening to your customer strongly and having somethings ready for today's modern era. Thanks so much. >> Thanks Stu. >> All right, be sure to check out theCUBE.net for all our coverage. I'm Stu Miniman, as always, thanks for watching theCUBE. (light electronic music)
SUMMARY :
From the Silicon Angle media office Trey, great to see you. Let's not hide the lead, there's some news that makes integrating the product an autonomous outcome. Something that's going to be with us for a while. embedding that intelligence and software to make it easy the automation and software and even you know, So a key element of the product is housing this intelligence What are the pieces that you had? and embedded in that is software that a customer can drive of the conversations I've been having with customers that most efficiently supports the virtualization How does that the kind of mindset and thinking fit and enable the operator to go target that. say for example the X block is something you know, about isolating that technology to one product, and the the team is the portfolio inside Dell EMC to best address the goals that you have for that deployment? and the way we design things. of the Dell technologies cloud and we're excited Okay, and just to connect the dots and making the Dell technology strategy So as we look at markets, you look at organizations and know about PowerOne as they walk away. that houses the intelligence to get to that outcome faster, We always love to see when you go behind the scenes, All right, be sure to check out theCUBE.net
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Matt “Kix” Kixmoeller, Pure Storage | Pure Accelerate 2019
>> Announcer: From Austin, Texas, it's theCUBE, covering Pure Storage Accelerate 2019, brought to you by Pure Storage. (air whooshes) >> Welcome to theCUBE's day two coverage of Pure Accelerate 2019 from Austin, Texas. I am Lisa Martin, Dave Vellante is my co-host, and we're pleased to welcome back to theCUBE, here is VP of Strategy Matt Kixmoeller. Kix, welcome back! >> Thank you very much, happy to be here. >> This has been a, being shot out of a cannon. Yesterday and today, lots of news. First of all, happy 10th anniversary to you and Pure. >> Thank you very much, yeah. >> Tremendous amount of innovation, as Tara Lee said yesterday, overnight in 10 years. (laughs) >> It's a really fun time at Pure. Just something about the nostalgia of 10 years gets people, naturally, to start thinking about what the next 10 years are about. And so, there's just a lot of that spirit right now at the company, so it's almost like people are really charging into the second chapter with a lot of energy, so that's cool. >> A lot of energy, I think, all fueled by this massive sea of orange that has descended on Austin. >> Absolutely. >> So, four announcements yesterday. Let's start with Cloud Block Store, what you guys are doing with AWS, and kind of this vision of Pure's cloud strategy. >> Yeah, look, the cloud discussions I've had with customers here at the show have been awesome. And I think more than anything, people have realized that we've really built something very unique with Cloud Block Store, something that doesn't exist anywhere else in the industry right now. And, you know, if you look at kind of other storage vendors over the time, people have certainly taken their storage OSes and put them in the cloud kind of as a test-dev experiment, a way to try things out, but never really thinking, "I want to build something "that runs tier-one applications." And that was our goal from day one. We looked at the Amazon platform and said, they really built EBS, their block offering, as kind of a way to beat boot VMs, but it was really never meant for a way to run mission-critical applications. So they've been very open in partnering with us to say, look, let's bring this capability onto the platform. And we really rearchitected our Purity Operating Environment, and so, the whole lower half of that is really optimized for the AWS services to help customers move tier-one apps to the cloud. >> Was that joint engineering, or was it really mostly Pure doing that work? >> You know, it was Pure engineering in the sense that we wrote the code, but there was a lot of co-architecture work with AWS so we could fundamentally understand the basics of all of their services and how to optimize for it. And one of the big realizations and choices that came out of that was not to base the storage layer of this on EBS, but instead to base it on S3. And if you look at your average cloud customer, they really use S3 as the storage basis for the apps they build on Amazon, and so, S3 is the 11-nines durable storage platform there. And so our whole goal here was, how do you use S3, but still deliver the level of performance you'd expect out of a tier-one block environment? >> Well, when you read the sort of cloud storage press release du jour, you can't really get into the nuance, but if I understand it correctly, you guys essentially have architected, using AWS services, a new class of block storage that runs on AWS, but looks like Pure. >> That's exactly it. >> So you're essentially front-ending cheap S3 storage with high-priority EC2s, you've got some mirroring for rights to give it high availability, and again, it looks like Pure. >> Kix: Yep. >> So you win, 'cause you're making money on the software, (laughs) AWS is selling services, and the customer has a Pure experience. Did we get that right? >> Yeah, and I think the combination, the one-two punch, that's been very interesting for customers is not only what we're doing with Cloud Block Store, but the new Pure as-a-Service offering. And so, Pure as-a-Service is our as-a-service consumption mechanism that allows you to essentially subscribe to or rent Pure arrays from Pure in your data center, but it's a license that can go between on-prem and cloud. And so, imagine you're a customer that is mostly on-prem today, but you have that mandate, "I've got to get to the cloud." You might need more storage, but the last thing you want to do is commit to another three- or five-year purchase of a storage array that just puts off that cloud journey that much longer. So a customer can subscribe to Pure as-a-Service, they'll maybe subscribe to 100 terabytes, and we put an array in their data center right now, but a year from now, they decide they're going to move 50 terabytes to Cloud Block Store in Amazon, that's just a transparent movement, they're already licensed for it. And so that-- >> And there's already, oh, sorry, sorry. >> Kix: No, go ahead. >> There's already customers that are in beta with Cloud Block Store, is that correct? >> Correct, yeah. >> Lisa: Any interesting insights that you can share without giving away secret sauce? >> Oh, absolutely. You know, I think the thing that pleased us the most about the beta was really the divergence of use cases. You know, we created this, but there's always, you create something, and you don't know what people are going to do with it, right? And so, we have this goal of going after tier-one apps. Obviously, there's a lot of people that are just focused on migration, "How do I get the tier-one app from on-prem to cloud?" And so that was what I would say would be the dominant use case. But there were a lot of interested in test-dev type use cases. And really interesting, I think we saw it in both directions. So we saw some customers who wanted to develop their app in the cloud, but then deploy on-prem. We saw the opposite, we saw people that wanted to develop on-prem but then deploy in the scalable infrastructure in the cloud. And so I thought that was quite interesting. >> How much of the impetus to do that offering was hardcore customer demand, "We need this," versus, "Hey, we need to embrace the cloud "and make it a tailwind and not be defensive about it"? >> You know, I think when we looked at what was going to be the buy-in criteria for the storage array of tomorrow, fundamentally, this is it, right? People want on-prem infrastructure that's connected to the cloud and provides them a roadmap or a bridge to the cloud. And I think we've seen a big change in mindset over even the last couple years. I'd say two or three years ago, the mindset from customers was, "I'm all in on cloud." I think we've seen that soften, where they've realized that the cloud is not a panacea, it's usually actually not cheaper or faster, but it is more agile, it is more flexible, and so, a combination of on-prem and cloud is the right answer. And so, what does that mean from a storage platform? Storage is the hard part. And so, I then need a storage architecture that can support both on-prem and cloud and drive commonality, as opposed to having it be totally different architecture. >> Was Outposts at all a catalyst in your thinking on this, or was this happening way before you even saw that? >> No, we started this effort before that, but I think Outposts is a good example, I believe, of how Amazon is just getting serious about saying, look, we can't ask everybody to rearchitect every application for web scale. There are certain apps that it won't make sense to rearchitect. How do we bring those to the cloud in an efficient way? And those are really the types of applications and the first-generation Cloud Block Store is perfect for. You connect your existing on-prem app, move it to the cloud without changing it, and then maybe slowly you rearchitect parts of the application, you evolve it over time, but that's not a gate to going to the cloud anymore. >> I like the way you said it, you thought about what storage is going to look like in the next 10 years. And we've said this a lot, it's the cloud experience, bringing that cloud experience to your data is what storage is going to look like, you know, wherever it lives, is going to look like in the next 10 years. >> Absolutely, and I think the other real mindset shift I think we've seen is how people are thinking about truly running their on-prem environment more like a service. You know, if you look at, the key message that we had at the show here was really the Modern Data Experience, and defining for customers what that meant. And in a lot of ways, I've been in the storage industry for a little while, I think back, 20 years ago, the buzzword was utility storage. I think one of our competitors had that as their slogan sometime in the '90s. >> Yeah, right. >> And the reality, though, is when you talk to most storage teams, they just never did that. They still ran a bunch of arrays on a project-by-project basis, and it didn't look at all like the cloud. And so, now people have learned the lessons from the public cloud and said, "We really need to apply those on-prem "to truly bring our infrastructure together "into much more of a virtual pool, "truly deliver it on demand, abstract consumption "from the back-end infrastructure to give flexibility." And so, that's really what we're trying to deliver with the Modern Storage Experience, is to say, look, let's get out of the world of array-by-array management. If a customer buys 50 or 100 of our arrays, how do they take that pool of arrays and turn it into a block service, turn it into a file service, turn it into an object service for their customers, with real abstractions and real APIs for those services that have nothing to do with the back-end infrastructure? >> Dave: Mm-hm. >> When Charlie talked yesterday, Kix, about the Modern Data Experience, the three S's pop up. >> Kix: Yeah. (clears throat) >> Simple, seamless, sustainable. But as IT is getting more and more complex, and customers are in a multi-cloud environment, not necessarily from a strategic perspective, right, acquisition, et cetera, how does Pure actually take that word, simple, from a marketing concept into reality for your customers? >> Yeah, you know, I think simple is the most underappreciated but biggest differentiator (coughs) that Pure has. I was recalling for someone, you talked to Coz earlier today. I had a conversation about three weeks into the existence of Pure, (coughs) excuse me, with Coz, and we were just debating, I mean, this is before we wrote any code at all, about, what would be Pure's long-term differentiator? And I was kind of like, "Ah, we'll be the flash people, or high-performance, or whatever," and he's like, "No, no, no, we're going to be simple. "We are going to deliver a culture that drives "simplicity into our products, "and that'll be game-changing." And I thought he was a little crazy at the time, but he's absolutely turned out to be right. And if you look over the years, that started with just an appliance experience, a 10-card install, just a really easy environment. But that's manifested itself into every product we create. And it's really hard to reverse-engineer that. It's an engineering discipline thing that you have to build into the DNA of the company. >> Yeah, he kind of shared that with us, Lisa. He was basically, my words, saying, you don't ever want to suboptimize simple to get a little knob turn on performance, because you'll be turning knobs your entire career. There's a lot of storage arrays out there that, it's all about turning the knobs. >> Kix: Yeah, well-- >> If you can't fix it, you feature it. >> Oh, and if you think about really trying to automate something, it's really hard to automate complex stuff. If something's simple, if it's consistent, it plugs into an automation framework. >> You talked about "get your 10X"-- >> Kix: Yeah. >> I think, is that what you said? And an entrepreneur who was very successful once told me, "I look for two things, a large market and a 10X impact." >> Yep. >> So, what is your 10X? >> You know, we have two 10Xs at the show this year. So first was really kind of a 10-year jump in performance. When we first entered, people were used to 10-millisecond latency from disk, and we introduced them to one-millisecond latency. Now, with the shipping in direct memory and bringing SCM into the architecture, we can do 100 microseconds. That's another 10X. And so, it's hard to ignore that. >> Lisa: That's game-changing, as you said yesterday. >> (coughs) Exactly. The other is really around our next product, FlashArray C, which brings flash to tier-two data. And there, it's all about consolidation. Most people have not used flash to fix tier one, but their biggest problem now is tier two. They have less-important applications, but because they haven't optimized that, it's taking up way too much of IT time. And so, FlashArray C is, "How do I go "and basically consolidate 10X consolidation "at that tier-two level to really bring "sanity to tier-two storage?" >> And you've got NAM pricing, we talked to Charlie about this, that it ultimately should be a tailwind for you guys as NAM pricing comes down, as NOR fab capacity's coming online in China to go after the thumb drives, right, so that's going to leave the enterprise for all the traditional flash guys that we know and love. So that should open up new markets for you. Today, if you look at pricing for flash C class storage, if I got it right, I'm guessing $1, $1.50 a gigabyte. You see hybrid still at probably half that, 65, 70 cents. Do you see that compressing over the next, let's call it 18, 24 months? >> Absolutely, I mean, what we can do with this product is really bring out flash at disk prices. And so, if you think about the difference, I mean, what we now have in the product line is two platforms, FlashArray X, optimized for performance, at hundreds of microseconds of latency, but C, at a little bit slower performance, still in the millisecond range, can really get down now to those disk prices you just mentioned. And so, it fundamentally gives customers the chance to ask, "Can I really now eliminate disk from the data center?" You know, as I said in my keynote, that the slogan from Pure from day one has been "the all-flash data center." And 10 years ago, people didn't believe it. We were maybe leaning over our skis a little bit in doing that. It now really feels possible to go and have the all-flash data center. >> Well, I'll tell you, we believed it. David Floyer picked up on it early on, and he was-- >> Kix: Yeah. >> He was actually probably too aggressive with (laughs) his forecast. We missed the NAND supply constraints. >> Kix: Yeah. >> But now that seems to be loosening up. >> Well, and, look, one of the things that really helps us build the perfect product around QLC is the work we've done to integrate with raw flash. We cannot just use QLC, but we can use it really efficiently, and the challenge there is to make it reliable. It's inherently a less-reliable flash. And so, that's what we're good at, taking things that are less reliable and making them enterprise-grade. >> And your custom flash modules allow that? >> Yeah. >> Can you add some color to that? >> Basically, what we do is we source raw NANDs, put it in our system, but then do all the work in software to manage the flash. And so, when you have a less-reliable flash medium like QLC, generally, what you have to do is add more flash to overprovision and be careful writing to it. And so, when do it globally, we don't do it inside every SSD, we can do it across the whole system, which makes the whole thing more efficient, thus allowing us to drive costs down even more. >> Hm. >> One of the things that we have heard over the last day and a half from customers, even those that were onstage yesterday, those that were on theCUBE yesterday and those that will come on today, is, they talk about the customer experience. They don't talk about FlashBlade, FlashArray, they're not talking about product names. They're talking about maybe workloads that they're running on there. But the interesting thing is, when we go to some other shows, you hear a lot of names of boxes. >> Kix: Yep. >> We haven't heard that. Talk to me a little bit about how Pure has evolved and really maybe even created this customer experience that's focused on simplicity, on outcomes, that is, in your perspective, why people aren't talking about the specific technologies-- >> Kix: Yeah. >> But rather, this single pane of glass that they have. >> Look, when we started the company, I obviously talked to a lot of customers, and I found, in general, there was frustration with products, but they also just generally didn't like their storage company. And so, from day one, we said, how do we reinvent the experience? Of course, we have to build a better product, and we can use flash as kind of an excuse to do that, but we also want to work on the business model of storage, and we also want to work on the customer experience, the support experience, the just 360 view of how you deal with a vendor. And so, from day one, we've been very disciplined about all of that. Going all-flash was a key part of the product. Evergreen has probably been our quintessential investment in just, how do you change that buying cycle? And so, you can buy into an experience and nondisrupt the way they evolve, versus replace your storage array every three to five years. And then, I think the overall customer experience just comes from the culture of the company, right? Everybody at Pure is centered on making customers happy, doing the right thing, being a vendor that you actually want to work with. And that's not something you can really legislate, that's not something you can put rules around, it's just the culture at Pure. >> When we talked about Evergreen yesterday with a number of customers, including Formula 1. I said, "You know, as a marketer, "how much of that nondisruptive operations, "take me from marketing to reality," and all of them articulated the exact value prop that you guys talk about. It was really remarkable. And another customer that we talked to, I think from a legal firm here in the U.S., didn't even do a POC, talked to a peer of his at another company that was a Pure fan-- >> Kix: Yep. >> And (snaps fingers) bought it right on the spot. So the validation that you're getting from the voice of the customer is pretty remarkable. >> Yeah, this is our number one asset, right? And I mean, so when we think about, how do we spread the religion of Pure, it's just all about giving voice to our customers, so they can share their stories. 'Cause that's so much more credible than anything we say, obviously, as a vendor. >> You're one of only two billion-dollar independent storage companies, which, we love independent storage companies, 'cause, you know, the competition's great. How far out do you look and do you think about being an independent storage company? You've seen, as a "somewhat" historian of the industry, you've seen TAM expansion, you guys are working hard on TAM expansion now, new workloads. You got backup stuff goin' on. You got the cloud as an opportunity, multi-cloud as an opportunity. So you got some runway there. >> Yeah. >> Beyond that, you've seen companies try to vertically integrate, buy backup software companies, you know, a converged infrastructure, whatever it is. How far out do you think about it from a business model standpoint? Or do you not worry about that? >> You know, look, to put it in context a little bit, you look at the latest IDC numbers, we're maybe one-third in to the transition to flash, right? The world still buys two-thirds disk, one-third flash. That's a huge opportunity. We're now five or six globally in storage. That's a few spots that we have to go, right? And so, we're not at all market-share limited, or opportunity limited, even within the storage industry, so we could make a much, much larger company. And so, that's mission number one at Pure. But when we think beyond that, that's just a launching point. And so, you've seen us do some stuff here at the show where we're getting into different types of storage. The first obvious expansion is, let's make sure anything that is a storage product comes from Pure, and there's obvious categories we don't play in today. You saw us introduce a new product around VM Analytics Pro, where we're reaching up the stack and adding real value at the VM tier, taking our Meta AI technology and using to give VM-level optimization recommendations. And so, yeah, I think we increasingly understand that IT's a full-stack game, and so storage is maybe the hardest part of the stack, and that gives us a great base to work from, but we don't constrain our engineers to say, you can only solve storage problems. >> Geography's another upside for you. I mean, most of your business, the vast majority of your business, is in the U.S., whereas you take a company like some of these other ones around here, more than half their business is outside the U.S, so. >> Yeah, no, our international businesses, we've been international five or six years now, and it felt like the first couple years are investment years, and it took time. But we're really starting to see them grow and take hold, and so, it's great to see the international business grow. And I think Pure as a company is also learning to really think internationally, not just because we want the opportunity, but the largest customers in the world that we now deal with have international operations, and they want to deal with one Pure globally. >> So when you're talking, and maybe this has even happened the last day and a half, with a prospective customer who is still investing a lot on-prem, still not yet gone the route of flash, as you were saying, those numbers speak for themselves. What do you say to them? >> If they're not on flash yet? >> Lisa: Yeah, yeah, to show them the benefits. I mean, what's that conversation like? >> It's rare, to be honest, now to find customers who haven't started with flash. But I think the biggest thing I try to encourage folks is that flash is not just about performance. And when I look at the history of people who have embraced Pure, they usually start with some performance need, but very quickly, they realize it's all about simplicity, it's all about efficiency. And if they can make storage fundamentally simpler and more efficient, they free up dollars to put towards innovation. And we unlock the ability to drive dollars towards innovation, and then we drive storage to the new innovation projects, like analytics, like AI, et cetera. And so, we just try to talk about that broader opportunity. And I think that's the hardest thing for people to grasp, because the IT history has always been lots of ROI pitches that say, "Hey, this thing costs a lot, but trust me, "you'll make it up in all these other benefits," that no one believes. And so, you just have to get them to taste it to begin with, and when they see it for themselves, that's when it clicks and they start to really understand the ROI around that. >> Well, congratulations on 10 years of Pure unlocking innovation, not just internally, but externally across the globe. We appreciate your time, Kix. >> Thank you, we're looking forward to the next 10 years. >> All right, to the next 10! For Dave Vellante, I'm Lisa Martin. You're watching theCUBE from Pure Accelerate 2019. (upbeat music)
SUMMARY :
brought to you by Pure Storage. Welcome to theCUBE's to you and Pure. Tremendous amount of innovation, And so, there's just a lot of that spirit sea of orange that has descended what you guys are doing with AWS, of that is really optimized for the AWS services And if you look at your average cloud customer, but if I understand it correctly, you guys essentially front-ending cheap S3 storage with high-priority EC2s, and the customer has a Pure experience. consumption mechanism that allows you to essentially And there's already, And so that was what I would say And I think we've seen a big change in mindset parts of the application, you evolve it over time, I like the way you said it, you thought about at the show here was really the Modern Data Experience, And the reality, though, is when you talk to most about the Modern Data Experience, the three S's and customers are in a multi-cloud environment, And if you look over the years, Yeah, he kind of shared that with us, Lisa. If you can't fix it, Oh, and if you think about really trying is that what you said? And so, it's hard to ignore that. as you said yesterday. "at that tier-two level to really bring for all the traditional flash guys that we know and love. And so, it fundamentally gives customers the chance to ask, and he was-- We missed the NAND supply constraints. to be loosening up. And so, that's what we're good at, And so, when you have a less-reliable flash medium like QLC, that we have heard over the last day and a half talking about the specific technologies-- But rather, And so, you can buy into an experience And another customer that we talked to, So the validation that you're getting And I mean, so when we think about, You got the cloud as an opportunity, How far out do you think about it and so storage is maybe the hardest part of the stack, the vast majority of your business, is in the U.S., and so, it's great to see the international business grow. the last day and a half, with a prospective customer to show them the benefits. And I think that's the hardest thing for people to grasp, but externally across the globe. All right, to the next 10!
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Andrew Tennant, Cisco & Mike Bundy, Pure Storage | Pure Accelerate 2019
>> from Austin, Texas. It's Theo Cube, covering your storage. Accelerate 2019. Brought to you by pure storage. >> Howdy, y'all Welcome back to the cubes. Coverage of Day one of pure accelerate 19 from Austin, Texas. I'm Lisa Martin. My co host is Day Volonte. We got a couple of gentlemen here chatting with us. Next, we've got one of our alumni. Mike Bundy's back head of Cisco Worldwide alliances for appear. Mike. Welcome back. >> Thank you. >> Sporting the very dapper >> It's not ours today, but it's enough. >> I like it. Very subtle on we've got Andrew Tenant joining us for the first time Senior manager Worldwide sales at Cisco Andrew, Welcome to the Cube. >> Thanks for having us. >> So we know we've had lots of conversations with Cisco and Cure Isis. Go live. Just a few months ago, Mike was on with this bright orange blazer. You guys have been partners for about four years now, Mike, let's start with you and talk about the evolution of that partnership from Bogota Market. A field A sales perspective, right? Overall partnership. How are things going? >> Well, things were great from a mo mentum perspective. We're we're on track to eclipse You know, I'm not supposed talk about a lot of numbers, but in the next year we will eclipse together a billion dollar run rate >> with partnership, which is tremendous milestone >> in a 4 to 5 year regulations. So things were, well, you know, it started from the field and what customers were requiring. And now, in the last, um, year, we've we've added about six new CDs were up to 22 we have three in the queue between now and the calendar year. So in terms of the growth, the product development and momentum, it's it's tremendous. And what we'll talk about today will be kind of one of the next generations and errors that that will hit on regarding this. >> And you guys were also we had a conversation a little bit ago with with Nathan Hall. Really, this partnership with Cisco and Pure is now getting started in the field, as you were talking about, but it's all the way down into the engineering level in terms of being very pervasive throughout. You guys have really achieve that. Yes, >> Yeah, top to bottom, right From From that field, engagement began. It was watching our customers embrace purest innovation. Right? And everywhere you turned pure was showing up, and it was it was really the field. Say, Hey, we got to get on board with this. And Tim Shanahan, who's part of our correctional organization on the descent aside, said, Hey, this is a big deal. We need to get in front of this thing. So that's really you. Mention where it started. And now we're doing everything from integrating products, right, integrating management tools to try to bring that together for our customers. And it's It's an awesome partnership. >> Absolutely. So where's the product focus. Where do we start? >> Yes, so you joked, right? Fibre channel. I think I remember Fibre Channel from many years ago. It Cisco, and then you look back and suddenly it's not dead, right? The truth is, five channels the best protocol for mission critical storage traffic that's ever been built. It's probably best critical out there for that. It's not sexy, though, right, so we can't took our eye off the ball at Cisco. But as we now develop these next generation storage technologies, there's never been a more important time to bring that switching fabric into play right It's absolutely critical that we have the right tools to accomplish what our customers trying to deliver from applications standpoint. So the agility, the visibility, just the overall performance is more important today. That was back in sort of that the heyday of fibre channel, if you will. Right? So the partnership that we're working on right now is making sure that we're we're maximizing the outcome of these investments. Custer's making with all of yours storage offerings, leveraging a sand infrastructure that's compatible with it and really gonna make it sing. >> And you're right and you go back 10 plus years and it was a vice scuzzy was coming in, but had some f f C bigots is that I will never hang on to win the NFC. Oh, we now you got N v m e over fabric. We'll talk about that. But so from pure perspective, you have always had to pay attention to that segment of the market. Guys went hard after the high end. Of'em sees business, which was heavy fiber channel, absolutely early days. >> Yeah, I mean four out of five of our razor attached fibre channel to a customer's environment. It is core to what we do. And we're excited about the resell opportunity that we just started with pure because, you know, Andrew and I joke last week, but we put pen to paper in terms of we believe our our introduction of this is a re silk and help them grow their sand business by 35 40%. And that's the kind of disruption that we're seeing with our A raise in the market. And we think because of how we're evolving customers to modernize those networks, that we can drag the Sisko Fibre Channel business right along with it. >> This is a sorry Mike. This is a re sell pure reselling wth the MDS product line. How is you the pure Channel? Responding to this news? >> They love it because it's it's a new buying center, you know that they're getting to talk to Ah, and it helps us, you know, establish Maur, you know, understanding the customers, whole business, not just from a storage perspective. So >> So how was envy? Emmy changing landscape? What do you guys seeing there? I mean, you guys, I think the first another first Charlie didn't mention it today on stage, So money first. It's hard to keep track of. But how is that affecting? You know what's going on in the field? >> Yeah. So I mean, again, it's the timing of this generational shift to next. Gen. Sarge, envy me being probably the most critical of that. If we look at what happened with all flash A raise, for example, all of those ended up on critical mission critical workloads and all ended up on fibre Channel 80. 85% of those end up on that legacy technology because it was so capable of getting the job done. Envy me is gonna take us another leap forward so customers will be challenged toe have something that lives both in the what they have today and bridges them to that future proof state. Right? So it's absolutely critical that you have tools that are gonna let you adopt envy me as it makes sense on carry it operationally alongside the same modality that you had for those workloads in the past, right? That's the key. Is that the folks we're gonna own this stuff going forward to the ones who own it now, right? Just with maybe older technology >> and the business impact is what you could do more with less performance, lower costs, more >> last performance, visibility right so you can help. Troubleshoot way had a situation not that long ago where a customer had Honore, not it was a competitive ray, right? It was getting hammered and it was locking up. And when they looked at the the forensics coming off, the rate said they had 4000 I ops off of that array. A very nominal amount. It should have been the problem. It shifted the focus elsewhere. Well, using some of the telemetry built into the MPs platform, it was obvious that there were 25,000 I ops hitting that array because VM, where was doing a lot of command control traffic to the array. So having that visibility at the's scales and speeds, if you don't know what you're doing, you can't see what's going on. You could be flying blind and struggling and everybody loses there. So >> you know we're excited about this because we don't want to bring our rays into an environment that's not suited for high end performance and reliability, cause that's what we've kind of made our brand on when it comes to customer networks, especially with the X 60 and nineties that we launched the year ago. They're all envy me ready. So we want to make sure that, as we did, ploy that that the entire infrastructure's ready and Cisco, in my opinion, has the best. Every product is 64 gig capable. It's envy me today. And so we're ready, you know, envy me, you know, in the end, if you will. So when when the host are ready to take advantage of this full network and full storage system, we're ready. Um, an Andrew also mentioned analytics. So, you know, >> we we >> extract ourselves on the analytics capabilities of our system as it works today with after one and so that allows us to, you know, very quickly using machine learning solve most of our customers problems. In fact, we open about 85% of our own customers tak cases for them because we predict when things were going to get rough and bumpy. So as we extend and bridge that together with what Cisco has and their Sandwich Analytics capability, it's gonna make the experience way different than it would be on a competitive sand fabric and a competitive storage array, whether it's flash or not. So that's that's what we're doing together, which makes fiber Channel better and more unique than it has been in the past. >> In terms of adoption. You mentioned when the host guys already, What's the blocker? There's just silicon. Is it just, >> you know, you could You could take Cisco's example. You know, they're they're looking at the new memory technology. And how do they apply that to the interface adapter? And how do you handle that situation? So, you know, as they evolve their next platform, it will be pervasive in that. And I'm sure that the other you know, host providers are gonna be doing >> standards standards. Low hanging fruit was envy me over converge Ethernet, right, because that was kind of the first place to start. But reality is weaken were the only vendor who can provide both of those in the Cisco side. Right. So we have the same tooling on the same, actually administrative tooling on on either. Right. So that's ah, terrific. >> And it's not just the infrastructure from the hostess, the operating system as well. So you know Lennox can take advantage of it in a different way. So, you know, we're seeing most of our deployments today, our fibre channel over Ethernet, because the the customer base that air deploying that are purely a Linux based environment. So they're able to do that. So, as you know, not all of our enterprising and commercial customers run that environment. So it's It's a little bit of the technology. It's a little bit of the Intel cycle. It's a little bit of the operating system, but the point is, we're ready. And there's a long, long road map. You know, for customers if we go this route, >> when should customers start thinking about this terms >> immediately? Right? Ultimately, it's not a question of if it's a question of when, but if they're, if they're getting things ready now, if you're making investment today, you can make an investment today that accommodates what you're doing today. Like back in the day. If we were selling a storage platform, the sandwich is sort of this necessary thing behind the scenes. That wasn't necessarily you could actually let it sit there for a couple of generations of the storage it was supporting. That's no longer going to be the case right, because, quite simply, the evolution on the storage front. And it's so much faster that you need to make sure the thing you're plugging it into. That's a simple question for any customer there. What'd you plugging this into right? Because at the end of the day, if it's just that that old san you have sitting around it may or may not be capable. Regardless of Endor, right, it's it's gonna actually diminished value you get in the time value of that investment you've made in this incredible platform. >> So where are you having these customer conversations that we talk about the joint go to market in the field? You know, it's It's not just about fibre channel and speed and storage, these air business critical work loads that are being protected and run and access to be able to extract all these insights. When you're talking with customers, where are you? You're not at the storage. I've been level. I imagine this is a much more business intensive conversation. It's a >> great question. Go ahead. >> So I think you know people that are driving the cloud platform strategy for the infrastructure. They obviously need to understand how. How does this work in a hybrid cloud or multi cloud environment? Then you've got, you know, the people that are developing the mission Mission critical business APS. Whether that's you know, Oracle s a p et cetera, et cetera. But it's also the non traditional business APS that are coming to play things that leverage stores that are file or object oriented, or kubernetes or things like that. It's so you're having discussions with the teams that are deploying the apse for the business and that will drive and dictate the requirements. Is that you know, we're trying to help the infrastructure on the cloud infrastructure teams adapt to >> multi cloud piece gets interesting here, right? Because us now talk about building massively scalable distributed systems, and you're not gonna be able to You don't want to necessarily ship all your data around, but you want to ship the metadata and be smart enough to know where the data is so you can go ship to compute right to the data, right? And I >> think that that's another interesting thing. And a positive aspect of leveraging some things we've already done with Cisco is you know they have the concept of a C I anywhere. No, you know, just like we're doing with Cloud Block store of extending that storage capability into the cloud. Cisco has done the same with a C I. So it's not just it's not sure, making sure the workload in the data payload our mobile, but also the application. And that's, you know, yes, that that may not be the case today for Fibre Channel, but the technology is there if the customer demands it. So that's 60% of Cisco's revenue in the data center comes from his networking core. That's what we're more excited about. The next generation's partnership is we feel like we've done a good job and built momentum with the computer part of their business, and I think as we evolve into this part of the business, it's gonna It's gonna be better for customers. In the end, >> it's either today, customers gonna spend more time operating this than anything, right, and really, that's all about visibility. Meantime, the resolution just how quickly they can make sure that those this thing's running and and as proactively get in front of congestion and issues at a time if they can. So it's Ah, it's a complimentary hardware software problem solved. You have to be able to do things at extremely high rates of speed with visibility I've never seen before. So analytics built into a six incredibly important stuff to get that streaming right out of the chip so you could tell what's going on at any level of the stack. Where is Like I said today, we've seen many cases now where their challenges in the network and in the sand and on the array and everyone's blind to it because our >> engineers love it because the monitoring and the scoping capability that were required, a lot of sand fabrics to deploy would require extra tools. Extra tap kits Cisco has at built in the A six so literally. It's just enable that with software. And you can do all the diagnostics you ever wanted to do at the at the wire and the fiber level, >> as opposed to a discreet probe. Exactly a disruptive drives the >> costs way out. The complexity reduces risk troubleshooting floor space, you know, the whole you know >> that's big time >> based. So today there's an issue. Last night Hey, Mike, what happened last night? I know. Let me know. That happens again. That's pretty much the ticket Close, right? We could actually go back in time now kind of a DVR and actually see now for the first time in a sand fabric what's actually happening and go back and reconstruct it to figure out how we proactively prevent it going on from the next time. So >> so, Mike, Last question. We're out of time. But last question for you. Everybody says future proof. Pardon? Everybody says future proved how are is pure delivering that with Cisco. What is it gonna mean to that business leader that I have an infrastructure in place that will truly be the food? Your proof? >> Good question. So you know, it's evergreen is the term that pure uses for you know what we do. So you never buy the same storage twice, right? And if you look at the platform that Cisco has for MDS, it is clearly capable to 400 gig capability. And today most networks are purchased for 30 to get capable with 16 gig optics, so they have 32 64. There's a long way to go here so the platform and their innovation will continue this to be, you know, a future proof network that marries up with our evergreen story. So we were excited We wouldn't get in this relationship if we felt that it was not gonna provide the same level of benefits and standard that we have for our own customers. So >> correct. Mike Andrew. Thank you for joining David me on the Q. But way. Look forward to hearing what happens in your five of the pure Cisco relationship. I know. We'll probably stay tuned. I know we'll see you again. Thank you for your time. Thanks for David. Dante. I Lisa Martin. You're watching the cue from pure accelerate 19.
SUMMARY :
Brought to you by chatting with us. sales at Cisco Andrew, Welcome to the Cube. So we know we've had lots of conversations with Cisco and Cure Isis. Well, things were great from a mo mentum perspective. So things were, well, you know, it started from the field And you guys were also we had a conversation a little bit ago with with Nathan Hall. And everywhere you turned pure So where's the product focus. So the partnership that we're Oh, we now you got N v m e over fabric. that we just started with pure because, you know, Andrew and I joke last week, How is you the pure Channel? and it helps us, you know, establish Maur, you know, understanding the customers, I mean, you guys, I think the first another first Charlie didn't mention it today on stage, carry it operationally alongside the same modality that you had for those So having that visibility at the's scales and speeds, if you don't know what you're doing, And so we're ready, you know, envy me, you know, so that allows us to, you know, very quickly using machine You mentioned when the host guys already, What's the blocker? And I'm sure that the other you know, host So we have the same tooling on the same, So it's It's a little bit of the technology. And it's so much faster that you So where are you having these customer conversations that we talk about the joint go to market in great question. So I think you know people that are driving the cloud platform strategy for the infrastructure. already done with Cisco is you know they have the concept of a C I anywhere. in the network and in the sand and on the array and everyone's blind to it because And you can do all the diagnostics you ever wanted to do at the at the wire and the fiber Exactly a disruptive drives the you know, the whole you know That's pretty much the ticket Close, What is it gonna mean to that business leader that I have an infrastructure in place that will truly So you know, it's evergreen is the term that pure uses for Thank you for joining David me on the Q. But way.
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Charlie Giancarlo, Pure Storage | Pure Accelerate 2019
>> from Austin, Texas. It's Theo Cube, covering your storage. Accelerate 2019. Brought to you by pure storage. >> Welcome to Austin, Texas. I'm Lisa Martin at Pure Accelerate 2019. This is the fourth pure accelerate. I'm here with my co host, David. Dante and David are pleased to be welcoming back to the Cube, the chairman and CEO of Pier storage. Charlie Giancarlo. Charlie, Welcome back to the Cube. >> Thank you. Such a pleasure to be here >> already. Getting loud on the keynote. Just rapping about 3000 folks here. Standing room only. We just came from the keynote. Something symbolic. Besides, the location of this event is that you are just about to celebrate the 10th anniversary of pure storage >> of our founding. October 1st. >> Yes, just around the corner. Tremendous innovation. As you say it. Overnight success in 10 years delivering 10 X and prevents us a little bit of a preview about what you shared in the Kino. What's to come in the next 10 years? >> Exactly right. It is wonderful to be able to sell. They celebrated birthday and able to talk about what you've delivered over the 1st 10 years. But it also gave us the opportunity to really say Okay, what's the second decade going to be about? What is it gonna be like? And way were planning not only for this, but for the year that we were gonna put in place of development. We said, Well, you know, we've brought a lot of things to storage and to the storage array. We made it much simpler. We made it upgradeable, non disruptive Lee, meaning that customers would have a continuously new product in their environment. Andi started to bring it into the cloud. And we said, You know, for our second decade, we want to transform the entire storage experience. We don't want it to be about boxes and a raise. We wanted to be about a storage system for the entire enterprise. That's multi protocol, multi cloud, multi tearing or what we call storage classes and entirely automated so that when an application calls for storage, service is it's delivered automatically without humans getting involved. That is completely as a service consumed as a service, delivered as a service entirely automated in the back end. So this is the goal that we have for our second decade. We think we're going to deliver it over the next several years. But of course, for us to go down the entire customer journey is a great mission for us for next decade. >> So in terms of, you know, I don't want to make it sound like the first decade was easy because you were really the only all flash array company. Thio reach escape velocity and many. But at the same time you caught DMC flat footed. You drove a truck through their install base and obviously the rest is history. I feel like the main job of the CEO is too. Is Tam expansion, right? You're focused on that. There's a I there's new workloads. There's the cloud, there's multi cloud. And in your entering new territory now, yes, maybe no. Guys like eight of us, they're not flat footed, right? You've got Europe against Google and Cisco and Microsoft in the multi cloud arena. But you're a specialist on one. If you could talk about your vision in terms of tam expansion, >> thank you very much for that question. The TAM expansion really is following where solid state takes us. You know, we've gone from a world that was where believe it or not, most computers still had mechanical systems operating them. It's sort of like having a mechanical calculator rather than Elektronik calculator, right? We had mechanical discs in our computers literally spinning rust, right? And it's only been in the last decade where a semiconductor, you know, where solid state has taken the place of that called Flash, right? Well, as that continues to get less expensive, we now can bring not only flash performance into disc economics, but more importantly, now we can finally have modern software that is driving the need for having greater flexibility with our data. As data grows it. Now we say it has gravity. That is, it gets heavy. It gets hard to manage hard, hard to move between different environments. And now a lot of infrastructure operators are spending much more time managing their data, managing the storage systems for their data than they are managing anything else in the data center environment. We want to eliminate all that. We want to automate all of that, you know, on the theme of decades. Two decades ago, every application had its own individual communication stack. There were dozens of different protocols and a dozen different networks in every company. One decade ago, every application had its own custom hardware stack and custom operating system stack. Well, today there's one network. It's called the Internet. Today, everything, every application, every server is virtualized, allowing mobility. And yet storage is still static way want this decade a bit to be about making storage and data dynamic and really responsive to the needs of the application environment? >> So >> what if you >> could compare this opportunity to some other mega trends that you've been part of? You were there in the early days of wireless when nobody wanted to buy wireless saw the I P changeup. People think the minicomputer was killed by the microprocessor in apart. It was, but it was I p. It was destroyed. Many computer everybody had their own networks. >> Where do you >> put so that the trend that you're after? How do you compare and what are your expectations? >> I think it's an analogous trend, and it's you know, this long term trend of vertical, whether it's vertical industries or vertical technology's going to becoming horizontal. So let's just give a couple of examples again. Networking was tightly tied to the application, and every application had its own network and its own set of protocols right that was vertically tied. Now networking is horizontal. It's all I P. Right again, we'll go back to applications. Applications had a vertical stack. The entire stack hardware and software was tied to specific application today that's been made virtualized and therefore horizontal. You could move applications among different servers. Storage is still vertical. It's still tied very tightly to the to the rack. And there are a lot of good reasons for that. You needed a high speed interface. High speed networking didn't exist. Disks were slow. They could only support one application at a time, with solid state that no longer exists. So now weaken, make storage free. We can make it ah, horizontal layer rather than tightly tied to any individual application. And that's what the next decades gonna be about >> Business leaders today, I feel there's so much more open than when we started in this. In this industry, where you know the famous line about Ken Olsen, Unix is snake oil and those that you old enough to remember that business leaders today they recognize the trend is your friend right. So gentleman from AWS at 88% of the customers and a gardener survey said their cloud first, but 86% are still spending on Prem. Right In the old days, when I said I'll keep it on Prime and Amazon so we'll keep it in the cloud. And yet you guys, customers, they're sort of forcing you to come together. Yes, I wonder if you could talk about that dynamic and specifically your cloud strategy? >> Absolutely So our cloud strategy is really quite simple. We want to make the cloud and every cloud appear to an application developer to be the same as it is on Prem. With all the advanced service is the advanced applications. It interfaces the same AP eyes because largely applications have been especially primary to your applications have been developed for with on Prem interfaces and on Prem service is the cloud, while wonderful from the standpoint of being able to be dynamic, does not have sophisticated service is for data. And so by making it appear to be the same to the application into the developer on premise in the cloud, it just makes the entire system or dynamic it allows for for companies to more easily move applications to the cloud or to another cloud or back on Prem. And it changes the dynamic and the decision making of enterprises not to. How much work do we have to do to move something to the cloud? But where is it best placed economically and based on service is we take it out of being a technology decision and make it more of an economic decision. >> Why were you in a unique position relative to your competition? I mean, why can't deli emcee or net app for IBM sort of take that same AP I economy mentality and drive it through their portfolio and get to market fast? And why is your pure unique? >> Well, for one, it takes investment will invest 18% of revenue in R and D this year. Nearly all of our competitors are spending less than 5% there, really viewing storage as an old antiquated market, not as a high tech market. They're reaping, if you will, rather than selling on re really view storage as next frontier off great innovation and our competitors largely don't see that. >> Let's talk about a little bit digging into the evolution of your Amazon Web service is relationship. We talked about that a minute ago when you guys talked about Announce Cloud Block store. There's dozens of customers in beta. Are they viewing it as this bridge, the hybrid cloud? And what are some of the benefits? If you could talk about it from any of those customers that are abated, what are they? What are you starting to see so far? That's really exciting, that this is the delivering or will be the modern data experience Way had >> a great speaker from eight of us onstage today, and I think he summed it up really well. At the end of his talk, he said that now the migration to cloud is easy because pure has done all the heavy listed lifting for you to take your enterprise applications and move them into the cloud. I mean, I think all the cloud players recognize that while they have provided some great capabilities, especially for Dev ops, that the level of of sophistication and the completion of service is for things like very complex enterprise. APS have not been fully accomplished yet, and so they recognize that experts like pure who have been delivering against enterprise primary tier applications for a long time have a lot to add in terms of the sophistication of our product in their environment. I think what they also recognize is that it's hard for customers to rewrite their applications to a completely different set of data. AP eyes and mind. You'd not only does, for example, he ws have different AP eyes in their cloud than customers have on Prem. But Azure has different AP eyes and then Amazon. Google has yet different, and so for a customer to write their application three or four times is really beyond what is in the interest of most customers. We have taken all that heavy lifting and enabled a customer to take their applications. They've already written, whether on cloud or in the print on Prem, and to move it in those other environments with much less investment. >> And let me let me try to explain, as I understand it, and make sure I got a right is essentially, What you've done is take the pure software stack and management framework and then using AWS Service's E C two High Priority E. C two's front ended on s3 cheap Best three created block storage. That's higher availability, probably faster rights, right? Three Real Boat reads and writes, are probably comparable with the pure experience. That's right on, Baby. You got to pay a little bit more for that. But you get you get better availability and there's value there. >> Actually, the beautiful thing is that we create an environment in AWS where it's faster, that is, the storage is faster. That it has a very higher reliability has. All of the service is that customers want tohave such as snapshots, replication and encryption. And the entire bill between what they pay for pure and what they pay for eight of us is no more than what they would pay for A W S on its own. For those storage service is >> because you're using cheaper s3. To me, this is brilliant. Eight others is happy because they're selling E. C. To an s3. You're happy because you're making money on your software. Stock was happy because they get the pure experience in the cloud. It's exactly actually quite innovative. >> It's almost matching >> quickly. Talk about Nan pricing. I know that was an issue this quarter. It hurt revenues a little bit on the stock drop, but then when you saw everybody else announced, the stock went back up because you're was 28% growth to everybody else's minus 16 minus 21 0 was the best. But to me, lower Nan pricing is a is an opportunity for you. It's a tailwind to go eat into more of the spinning dis market. Do you see it that way? >> No. Absolutely right. I mean, when it all hits in 1/4 it could be a challenge. But over time, the consistent and fast decrease in Nan pricing simply means that we will eventually get to solid state for all storage. I have no doubt about that. The days of disk are certainly numbered, and what that does is open up the entire storage market. Today, disc is only by terabytes. 15% of the storage market flashes only 15%. So it eventually we have 85% of storage market still to go after, and we believe that one day that will be all solid state. >> I want to ask you about the macro you guys said on the call. You really not concerned about the macro. You don't win on pricing. You don't lose on pricing that even a downturn. You guys feel like you can gain share. And I would agree with that. By the way, of course, we don't want a downturn. Got it? But if you don't have a downturn, But what are your thoughts on your ability to compete independent of Of of the macro. >> Right. So, you know, we have from day one, obviously, we had no sales when we got started. Right? So every sale we've made has always been a competitive sale. There was always someone that we had to displace, right? Some some incumbent. And that speaks to the type on the quality of the sales and marketing team that we have, right? Not only they aggressive, but you know, in the parlance of the industry, they're hunters. I think a lot of companies, once you become more mature, you develop more farmers in your in your sales force, right? Managing the customer account, managing the install base and so forth. And when the macro is flat or down, you suffer. You know, from you suffer overall from that because you haven't been used to expanding your footprint. In our case, I think even when the Makri is down not that we won't be hurt by it. We will. But because we have a team of hunters, we continue to gain market share away. Will >> you >> change it? It's hard to predict, right, But But Frank's Lupin once told me, Hey, if things change, I can turn this on. And we could become an a T. M when he was running the service. Now, right now, you're going for growth in the street rewards growth. You got a three plus X revenue multiple. Everybody else is lucky to get one X so that they're rewarding you for growth. Do you feel like if things change that you might turn those knobs a little bit? Or is it you know, >> So I don't expect things to change for quite some time, but, you know, we produce 70% gross margin in the last quarter, right? I mean, most of our competitors are in the fifties, right? If not, if not the forties. So clearly growth costs money in this business, right? You have to build your sales force before they start producing for you. You have to invest in marketing before they start producing. And because of our high focus around R and D right, which is all about new products again, your front ending your costs before the before the growth actually comes in. So now we're gonna continue to focus on growth. And as long as we believe that the medium to long term growth for us is in the thirties, you know, high twenties, thirties, even maybe even forties, we're going to continue to operate profitably but relatively lower profit once growth slows down. Yeah. I mean, it will all start flowing. >> Reassess it at that time. At least our data and the data shows that pure is in a position from a spending intention standpoint to continue to gain share. We don't see any change to that in the next several quarters. >> Last question for you, Charlie. We got to talk about a I we talked about at every conference. When we're looking at pure and customer conversations, it's about data data. Is oil lifeblood gold, currency, whatever you wanna call it? How? What is that conversation that that tape, urine and video have together in customers about? How can data ignite our workloads. Help companies identify new products. New service is deliver more automation. This is >> probably one of my favorite topics. When I'm talking to customers is how to make data actually useful. Not so much the, you know, the bits and bytes of how do you actually store it? But you know, what does it mean to them is a business but also to their customers because a lot of times they're using it for overall customer benefit. And the great part of that conversation and whether it's us or in video or both of us together, is we both use it for our to improve our business and our customers lives as well. You know, we talk today about how we have 15 petabytes of operational data from our customers, a raise, right, how they're performing. And we analyze that on a on an hour by hour basis toe look to see. Is the customer getting to the point where they need where they didn't need to modify how they're operating or where they need to upgrade, or where they need to add or even reduce more capacity so that they don't fall? You know they don't trip over things that will get their business in trouble. So it And now we even allow the customer to analyze their business. And do what if scenario plant planning to say, Well, if I'm going to double the amount of customer transactions I have, you know, what will that mean from an infrastructure Sandpoint? You know? Well, I need to change your upgrade. So, you know, this has been great fun because we are in the same boat as our customers, depending on a I to improve our our mutual customers experience. But >> this conversation is best. Very insightful. Charlie, Thank you for joining David Me on the Cube today. Again. Happy 10th anniversary. Here we look forward to the next two days >> and happy 10th year to you. >> Thanks very much. >> That's right for day, Volante. I'm Lisa Martin. You're watching the Cube from pure accelerate. 19
SUMMARY :
Brought to you by This is the fourth pure accelerate. Such a pleasure to be here the location of this event is that you are just about to celebrate the 10th anniversary of pure of our founding. what you shared in the Kino. We said, Well, you know, we've brought a lot of things to storage and to the storage array. But at the same time you caught And it's only been in the last decade where a semiconductor, you know, where solid state has taken the could compare this opportunity to some other mega trends that you've been part of? I think it's an analogous trend, and it's you know, this long term trend of vertical, And yet you guys, the same AP eyes because largely applications have been especially primary to your applications They're reaping, if you will, rather than selling on re really view storage We talked about that a minute ago when you guys talked about Announce Cloud Block store. the migration to cloud is easy because pure has done all the heavy listed lifting for you But you get you get better availability Actually, the beautiful thing is that we create an environment in AWS where it's the pure experience in the cloud. the stock drop, but then when you saw everybody else announced, the stock went back up because you're was 28% growth to everybody else's still to go after, and we believe that one day that will be all solid state. I want to ask you about the macro you guys said on the call. And that speaks to the type on the quality of the sales and marketing Everybody else is lucky to get one X so that they're rewarding you for growth. So I don't expect things to change for quite some time, but, you know, we produce 70% We don't see any change to that in the next several quarters. We got to talk about a I we talked about at every conference. Is the customer getting to the point where Charlie, Thank you for joining David Me on the Cube today. That's right for day, Volante.
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Keynote | Red Hat Summit 2019 | DAY 2 Morning
>> Ladies and gentlemen, please welcome Red Hat President Products and Technologies. Paul Cormier. Boring. >> Welcome back to Boston. Welcome back. And welcome back after a great night last night of our opening with with Jim and talking to certainly saw ten Jenny and and especially our customers. It was so great last night to hear our customers in how they set their their goals and how they met their goals. All possible because certainly with a little help from red hat, but all possible because of because of open source. And, you know, sometimes we have to all due that has set goals. And I'm going to talk this morning about what we as a company and with community, have set for our goals along the way. And sometimes you have to do that. You know, audacious goals. It can really change the perception of what's even possible. And, you know, if I look back, I can't think of anything, at least in my lifetime, that's more important. Or such a big golden John F. Kennedy setting the gold to the American people to go to the moon. I believe it or not, I was really, really only three years old when he said that, honestly. But as I grew up, I remember the passion around the whole country and the energy to make that goal a reality. So let's sort of talk about in compare and contrast, a little bit of where we are technically at that time, you know, tto win and to beat and winning the space race and even get into the space race. There was some really big technical challenges along the way. I mean, believe it or not. Not that long ago. But even But back then, math Malik mathematical calculations were being shifted from from brilliant people who we trusted, and you could look in the eye to A to a computer that was programmed with the results that were mostly printed out. This this is a time where the potential of computers was just really coming on the scene and, at the time, the space race at the time of space race it. It revolved around an IBM seventy ninety, which was one of the first transistor based computers. It could perform mathematical calculations faster than even the most brilliant mathematicians. But just like today, this also came with many, many challenges And while we had the goal of in the beginning of the technique and the technology to accomplish it, we needed people so dedicated to that goal that they would risk everything. And while it may seem commonplace to us today to trust, put our trust in machines, that wasn't the case. Back in nineteen sixty nine, the seven individuals that made up the Mercury Space crew were putting their their lives in the hands of those first computers. But on Sunday, July twentieth, nineteen sixty nine, these things all came together. The goal, the technology in the team and a human being walked on the moon. You know, if this was possible fifty years ago, just think about what Khun B. Accomplished today, where technology is part of our everyday lives. And with technology advances at an ever increasing rate, it's hard to comprehend the potential that sitting right at our fingertips every single day, everything you know about computing is continuing to change. Today, let's look a bit it back. A computing In nineteen sixty nine, the IBM seventy ninety could process one hundred thousand floating point operations per second, today's Xbox one that sitting in most of your living rooms probably can process six trillion flops. That's sixty million times more powerful than the original seventy ninety that helped put a human being on the moon. And at the same time that computing was, that was drastically changed. That this computing has drastically changed. So have the boundaries of where that computing sits and where it's been where it lives. At the time of the Apollo launch, the computing power was often a single machine. Then it moved to a single data center, and over time that grew to multiple data centers. Then with cloud, it extended all the way out to data centers that you didn't even own or have control of. But but computing now reaches far beyond any data center. This is also referred to as the edge. You hear a lot about that. The Apollo's, the Apollo's version of the Edge was the guidance system, a two megahertz computer that weighed seventy pounds embedded in the capsule. Today, today the edge is right here on my wrist. This apple watch weighs just a couple of ounces, and it's ten ten thousand times more powerful than that seventy ninety back in nineteen sixty nine But even more impactful than computing advances, combined with the pervasive availability of it, are the changes and who in what controls those that similar to social changes that have happened along the way. Shifting from mathematicians to computers, we're now facing the same type of changes with regards to operational control of our computing power. In its first forms. Operational control was your team, your team within your control? In some cases, a single person managed everything. But as complexity grows, our team's expanded, just like in the just like in the computing boundaries, system integrators and public cloud providers have become an extension of our team. But at the end of the day, it's still people that are still making all the decisions going forward with the progress of things like a I and software defined everything. It's quite likely that machines will be managing machines, and in many cases that's already happening today. But while the technology at our finger tips today is so impressive, the pace of changing complexity of the problems we aspire to solve our equally hard to comprehend and they are all intertwined with one another learning from each other, growing together faster and faster. We are tackling problems today on a global scale with unsinkable complexity beyond anyone beyond what any one single company or even one single country Khun solve alone. This is why open source is so important. This is why open source is so needed today in software. This is why open sources so needed today, even in the world, to solve other types of complex problems. And this is why open source has become the dominant development model which is driving the technology direction. Today is to bring two brother to bring together the best innovation from every corner of the planet. Toe fundamentally change how we solve problems. This approach and access the innovation is what has enabled open source To tackle The challenge is big challenges, like creating the hybrid cloud like building a truly open hybrid cloud. But even today it's really difficult to bridge the gap of the innovation. It's available in all in all of our fingertips by open source development, while providing the production level capabilities that are needed to really dip, ploy this in the enterprise and solve RIA world business problems. Red Hat has been committed to open source from the very, very beginning and bringing it to solve enterprise class problems for the last seventeen plus years. But when we built that model to bring open source to the enterprise, we absolutely knew we couldn't do it halfway tow harness the innovation. We had to fully embrace the model. We made a decision very early on. Give everything back and we live by that every single day. We didn't do crazy crazy things like you hear so many do out there. All this is open corps or everything below. The line is open and everything above the line is closed. We didn't do that, and we gave everything back Everything we learned in the process of becoming an enterprise class technology company. We gave it all of that back to the community to make better and better software. This is how it works. And we've seen the results of that. We've all seen the results of that and it could only have been possible within open source development model we've been building on the foundation of open source is most successful Project Lennox in the architecture of the future hybrid and bringing them to the Enterprise. This is what made Red Hat, the company that we are today and red hats journey. But we also had the set goals, and and many of them seemed insert insurmountable at the time, the first of which was making Lennox the Enterprise standard. And while this is so accepted today, let's take a look at what it took to get there. Our first launch into the Enterprise was rail two dot one. Yes, I know we two dot one, but we knew we couldn't release a one dato product. We knew that and and we didn't. But >> we didn't want to >> allow any reason why anyone of any customer anyone shouldn't should look past rail to solve their problems as an option. Back then, we had to fight every single flavor of Unix in every single account. But we were lucky to have a few initial partners and Big Eyes v partners that supported Rehl out of the gate. But while we had the determination, we knew we also had gaps in order to deliver on our on our priorities. In the early days of rail, I remember going to ask one of our engineers for a past rehl build because we were having a customer issue on it on an older release. And then I watched in horror as he rifled through his desk through a mess of CDs and magically came up and said, I found it here It is told me not to worry that the build this was he thinks this was the bill. This was the right one, and at that point I knew that despite the promise of Lennox, we had a lot of work ahead of us. The not only convinced the world that Lennox was secure, stable, an enterprise ready, but also to make that a reality. But we did. And today this is our reality. It's all of our reality. From the Enterprise Data Center standard to the fastest computers on the planet, Red Hat Enterprise, Lennox has continually risen to the challenge and has become the core foundation that many mission critical customers run and bet their business on. And an even bigger today Lennox is the foundation of which practically every single technology initiative is built upon. Lennox is not only standard toe build on today, it's the standard for innovation that builds around it. That's the innovation that's driving the future as well. We started our story with rail two dot one, and here we are today, seventeen years later, announcing rally as we did as we did last night. It's specifically designed for applications to run across the open hybrid. Clyde Cloud. Railed has become the best operating simp system for on premise all the way out to the cloud, providing that common operating model and workload foundation on which to build hybrid applications. Let's take it. Let's take a look at how far we've come and see this in action. >> Please welcome Red Hat Global director of developer experience, burst Sutter with Josh Boyer, Timothy Kramer, Lars Carl, it's Key and Brent Midwood. All right, we have some amazing things to show you. In just a few short moments, we actually have a lot of things to show you. And actually, Tim and Brandt will be with us momentarily. They're working out a few things in the back because we have a lot of this is gonna be a live demonstration, some incredible capabilities. Now you're going to see clear innovation inside the operating system where we worked incredibly hard to make it vast cities. You're free to manage many, many machines. I want you thinking about that as we go to this process. Now, also, keep in mind that this is the basis our core platform for everything we do here. Red hat. So it is an honor for me to be able to show it to you live on stage today. And so I recognize the many of you in the audience right now. Her hand's on systems administrators, systems, architect, citizens, engineers. And we know that you're under ever growing pressure to deliver needed infrastructure. Resource is ever faster, and that is a key element to what you're thinking about every day. Well, this has been a core theme, and our design decisions find red Odd Enterprise Lennox eight and intelligent operating system, which is making it fundamentally easier for you manage machines that scale. So hold what you're about to see next. Feels like a new superpower and and that redhead azure force multiplier. So first, let me introduce you to a large. He's totally my limits guru. >> I wouldn't call myself a girl, but I I guess you could say that I want to bring Lennox and light meant to more people. >> Okay, Well, let's let's dive in. And we're not about the clinic's eight. >> Sure. Let me go. And Morgan, >> wait a >> second. There's windows. >> Yeah, way Build the weft Consul into Really? That means that for the first time, you can log in from any device including your phone or this standard windows laptop. So you just go ahead and and to my Saturday lance credentials here. >> Okay, so now >> you're putting >> your limits password and over the web. >> Yeah, that might sound a bit scary at first, but of course, we're using the latest security tech by T. L s on dh csp on. Because that's the standard Lennox off site. You can use everything that you used to like a stage keys, OTP, tokens and stuff like this. >> Okay, so now I see the council right here. I love the dashboard overview of the system, but what else can you tell us about this council? >> Right? Like right here. You see the load of the system, some some of its properties. But you can also dive into logs everything that you're used to from the command line, right? Or lookit, services. This's all the services I've running, can start and stuff them and enable >> OK, I love that feature right there. So what about if I have to add a whole new application to this environment? >> Good that you're bringing that up. We build a new future into hell called application streams. Which the way for you to install different versions of your half stack that are supported I'LL show you with Youngmin a command line. But since Windows doesn't have a proper terminal, I'll just do it in the terminal that we built into the Web console Since the browser, I can even make this a bit bigger. Go to, for example, to see the application streams that we have for Poskus. Ijust do module list and I see you know we have ten and nine dot six Both supported tennis a default on defy enable ninety six Now the next time that I installed prescribes it will pull all their lady towards from them at six. >> Ok, so this is very cool. I see two verses of post Chris right here What tennis to default. That is fantastic and the application streams making that happen. But I'm really kind of curious, right? I loved using know js and Java. So what about multiple versions of those? >> Yeah, that's exactly the idea way. Want to keep up with the fast moving ecosystems off programming language? Isn't it a business? >> Okay, now, But I have another key question. I know some people were thinking it right now. What about Python? >> Yeah. In fact, in a minimum and still like this, python gives you command. Not fact. Just have to type it correctly. You can't just install which everyone you want two or three or whichever your application needs. >> Okay, Well, that is I've been burned on that one before. Okay, so no actual. Have a confession for all you guys. Right here. You guys keep this amongst yourselves. Don't let Paul No, I'm actually not a linnet systems administrator. I'm an application developer, an application architect, And I recently had to go figure out how to extend the file system. This is for real. And I'm going to the rat knowledge base and looking up things like, you know, PV create VD, extend resized to f s. And I have to admit, that's hard, >> right? I've opened the storage space for you right here, where you see an overview of your storage. And the council has made for people like you as well not only for people that I knew that when you two lunatics, right? It's if you're running, you're running some of the commands only, you know, some of the time you don't remember them. So, for example, I haven't felt twosome here. That's a little bit too small. Let me just throw it. It's like, you know, dragging this lighter. It calls all the command in the background for you. >> Oh, that is incredible. Is that simple? Just drag and drop. That is fantastic. Well, so I actually, you know, we'll have another question for you. It looks like now this linen systems administration is no longer a dark heart involving arcane commands typed into a black terminal. Like using when those funky ergonomic keyboards you know I'm talking about right? Do >> you know a lot of people, including me and people in the audience like that dark out right? And this is not taking any of that away. It's on additional tool to bring limits to more people. >> Okay, well, that is absolute fantastic. Thank you so much for that Large. And I really love him installing everything is so much easier, including a post gra seeker and, of course, the python that we saw right there. So now I want to change gears for a second because I actually have another situation that I'm always dealing with. And that is every time I want to build a new Lenox system, not only I don't want to have to install those commands again and again, it feels like I'm doing it over and over. So, Josh, how would I create a golden image? One VM image that can use and we have everything pre baked in? >> Yeah, absolutely. But >> we get that question all the time. So really includes image builder technology. Image builder technology is actually all of our hybrid cloud operating system image tools that we use to build our own images and rolled up in a nice, easy to integrate new system. So if I come here in the web console and I go to our image builder tab, it brings us to blueprints, right? Blueprints or what we used to actually control it goes into our golden image. Uh, and I heard you and Lars talking about post present python. So I went and started typing here. So it brings us to this page, but you could go to the selected components, and you can see here I've created a blueprint that has all the python and post press packages in it. Ah, and the interesting thing about this is it build on our existing kickstart technology. But you can use it to deploy that whatever cloud you want. And it's saved so that you don't actually have to know all the various incantations from Amazon toe azure to Google, whatever it's all baked in on. When you do this, you can actually see the dependencies that get brought in as well. Okay. Should we create one life? Yes, please. All right, cool. So if we go back to the blueprints page and we click create blueprint Let's, uh let's make a developer brute blueprint here. So we click great, and you can see here on the left hand side. I've got all of my content served up by Red Hat satellite. We have a lot of great stuff, and really, But we can go ahead and search. So we'LL look for post grows and you know, it's a developer image at the client for some local testing. Um, well, come in here and at the python bits. Probably the development package. We need a compiler if we're going to actually build anything. So look for GCC here and hey, what's your favorite editor? >> A Max, Of course, >> Max. All right. Hey, Lars, about you. I'm more of a person. You Maxim v I All right, Well, if you want to prevent a holy war in your system, you can actually use satellite to filter that out. But we're going to go ahead and Adam Ball, sweetie, I'm a fight on stage. So wait, just point and click. Let the graphical one. And then when we're all done, we just commit our changes, and our image is ready to build. >> Okay, So this VM image we just created right now from that blueprint this is now I can actually go out there and easily deploys of deploy this across multiple cloud providers. And as well as this on stage are where we have right now. >> Yeah, absolutely. We can to play on Amazon as your google any any infrastructure you're looking for so you can really hit your Clyburn hybrid cloud operating system images. >> Okay. All right, listen, we >> just go on, click, create image. Uh, we can select our different types here. I'm gonna go ahead and create a local VM because it's available image, and maybe they want to pass it around or whatever, and I just need a few moments for it to build. >> Okay? So while that's taking a few moments, I know there's another key question in the minds of the audience right now, and you're probably thinking I love what I see. What Right eye right hand Priceline say. But >> what does it >> take to upgrade from seven to eight? So large can you show us and walk us through an upgrade? >> Sure, this's my little Thomas Block that I set up. It's powered by what Chris and secrets over, but it's still running on seven six. So let's upgrade that jump over to my house fee on satellite on. You see all my relate machines here, including the one I showed you what Consul on before. And there is that one with my sun block and there's a couple others. Let me select those as well. This one on that one. Just go up here. Schedule remote job. And she was really great. And hit Submit. I made it so that it makes the booms national before. So if anything was wrong Kans throwback! >> Okay, okay, so now it's progressing. Here, >> it's progressing. Looks like it's running. Doing >> live upgrade on stage. Uh, >> seems like one is failing. What's going on here? Okay, we checked the tree of great Chuck. Oh, yeah, that's the one I was playing around with Butter fest backstage. What? Detective that and you know, it doesn't run the Afghan cause we don't support operating that. >> Okay, so what I'm hearing now? So the good news is, we were protected from possible failed upgrade there, So it sounds like these upgrades are perfectly safe. Aiken, basically, you know, schedule this during a maintenance window and still get some sleep. >> Totally. That's the idea. >> Okay, fantastic. All right. So it looks like upgrades are easy and perfectly safe. And I really love what you showed us there. It's good point. Click operation right from satellite. Ok, so Well, you know, we were checking out upgrades. I want to know Josh. How those v ems coming along. >> They went really well. So you were away for so long. I got a little bored and I took some liberties. >> What do you mean? >> Well, the image Bill And, you know, I decided I'm going to go ahead and deploy here to this Intel machine on stage Esso. I have that up and running in the web. Counsel. I built another one on the arm box, which is actually pretty fast, and that's up and running on this. Our machine on that went so well that I decided to spend up some an Amazon. So I've got a few instances here running an Amazon with the web console accessible there as well. On even more of our pre bill image is up and running an azure with the web console there. So the really cool thing about this bird is that all of these images were built with image builder in a single location, controlling all the content that you want in your golden images deployed across the hybrid cloud. >> Wow, that is fantastic. And you might think that so we actually have more to show you. So thank you so much for that large. And Josh, that is fantastic. Looks like provisioning bread. Enterprise Clinic Systems ate a redhead. Enterprise Enterprise. Rhetta Enterprise Lennox. Eight Systems is Asian ever before, but >> we have >> more to talk to you about. And there's one thing that many of the operations professionals in this room right now no, that provisioning of'em is easy, but it's really day two day three, it's down the road that those viens required day to day maintenance. As a matter of fact, several you folks right now in this audience to have to manage hundreds, if not thousands, of virtual machines I recently spoke to. Gentleman has to manage thirteen hundred servers. So how do you manage those machines? A great scale. So great that they have now joined us is that it looks like they worked things out. So now I'm curious, Tim. How will we manage hundreds, if not thousands, of computers? >> Welbourne, one human managing hundreds or even thousands of'em says, No problem, because we have Ansel automation. And by leveraging Ansel's integration into satellite, not only can we spin up those V em's really quickly, like Josh was just doing, but we can also make ongoing maintenance of them really simple. Come on up here. I'm going to show you here a satellite inventory and his red hat is publishing patches. Weaken with that danceable integration easily apply those patches across our entire fleet of machines. Okay, >> that is fantastic. So he's all the machines can get updated in one fell swoop. >> He sure can. And there's one thing that I want to bring your attention to today because it's brand new. And that's cloud that red hat dot com And here, a cloud that redhead dot com You can view and manage your entire inventory no matter where it sits. Of Redhead Enterprise Lennox like on Prem on stage. Private Cloud or Public Cloud. It's true Hybrid cloud management. >> OK, but one thing. One thing. I know that in the minds of the audience right now. And if you have to manage a large number servers this it comes up again and again. What happens when you have those critical vulnerabilities that next zero day CV could be tomorrow? >> Exactly. I've actually been waiting for a while patiently for you >> to get to the really good stuff. So >> there's one more thing that I wanted to let folks know about. Red Hat Enterprise. The >> next eight and some features that we have there. Oh, >> yeah? What is that? >> So, actually, one of the key design principles of relate is working with our customers over the last twenty years to integrate all the knowledge that we've gained and turn that into insights that we can use to keep our red hat Enterprise Lennox servers running securely, inefficiently. And so what we actually have here is a few things that we could take a look at show folks what that is. >> OK, so we basically have this new feature. We're going to show people right now. And so one thing I want to make sure it's absolutely included within the redhead enterprise in that state. >> Yes. Oh, that's Ah, that's an announcement that we're making this week is that this is a brand new feature that's integrated with Red Hat Enterprise clinics, and it's available to everybody that has a red hat enterprise like subscription. So >> I believe everyone in this room right now has a rail subscriptions, so it's available to all of them. >> Absolutely, absolutely. So let's take a quick look and try this out. So we actually have. Here is a list of about six hundred rules. They're configuration security and performance rules. And this is this list is growing every single day, so customers can actually opt in to the rules that are most that are most applicable to their enterprises. So what we're actually doing here is combining the experience and knowledge that we have with the data that our customers opt into sending us. So customers have opted in and are sending us more data every single night. Then they actually have in total over the last twenty years via any other mechanism. >> Now there's I see now there's some critical findings. That's what I was talking about. But it comes to CVS and things that nature. >> Yeah, I'm betting that those air probably some of the rail seven boxes that we haven't actually upgraded quite yet. So we get back to that. What? I'd really like to show everybody here because everybody has access to this is how easy it is to opt in and enable this feature for real. Okay, let's do that real quick, so I gotta hop back over to satellite here. This is the satellite that we saw before, and I'll grab one of the hosts and we can use the new Web console feature that's part of Railly, and via single sign on I could jump right from satellite over to the Web console. So it's really, really easy. And I'LL grab a terminal here and registering with insights is really, really easy. Is one command troops, and what's happening right now is the box is going to gather some data. It's going to send it up to the cloud, and within just a minute or two, we're gonna have some results that we can look at back on the Web interface. >> I love it so it's just a single command and you're ready to register this box right now. That is super easy. Well, that's fantastic, >> Brent. We started this whole series of demonstrations by telling the audience that Red Hat Enterprise Lennox eight was the easiest, most economical and smartest operating system on the planet, period. And well, I think it's cute how you can go ahead and captain on a single machine. I'm going to show you one more thing. This is Answerable Tower. You can use as a bell tower to managing govern your answerable playbook, usage across your entire organization and with this. What I could do is on every single VM that was spun up here today. Opt in and register insights with a single click of a button. >> Okay, I want to see that right now. I know everyone's waiting for it as well, But hey, you're VM is ready. Josh. Lars? >> Yeah. My clock is running a little late now. Yeah, insights is a really cool feature >> of rail. And I've got it in all my images already. All >> right, I'm doing it all right. And so as this playbook runs across the inventory, I can see the machines registering on cloud that redhead dot com ready to be managed. >> OK, so all those onstage PM's as well as the hybrid cloud VM should be popping in IRC Post Chris equals Well, fantastic. >> That's awesome. Thanks to him. Nothing better than a Red Hat Summit speaker in the first live demo going off script deal. Uh, let's go back and take a look at some of those critical issues affecting a few of our systems here. So you can see this is a particular deanna's mask issue. It's going to affect a couple of machines. We saw that in the overview, and I can actually go and get some more details about what this particular issue is. So if you take a look at the right side of the screen there, there's actually a critical likelihood an impact that's associated with this particular issue. And what that really translates to is that there's a high level of risk to our organization from this particular issue. But also there's a low risk of change. And so what that means is that it's really, really safe for us to go ahead and use answerable to mediate this so I can grab the machines will select those two and we're mediate with answerable. I can create a new playbook. It's our maintenance window, but we'LL do something along the lines of like stuff Tim broke and that'LL be our cause. We name it whatever we want. So we'Ll create that playbook and take a look at it, and it's actually going to give us some details about the machines. You know what, what type of reboots Efendi you're going to be needed and what we need here. So we'LL go ahead and execute the playbook and what you're going to see is the outputs goingto happen in real time. So this is happening from the cloud were affecting machines. No matter where they are, they could be on Prem. They could be in a hybrid cloud, a public cloud or in a private cloud. And these things are gonna be remediated very, very easily with answerable. So it's really, really awesome. Everybody here with a red hat. Enterprise licks Lennox subscription has access to this now, so I >> kind of want >> everybody to go try this like, we really need to get this thing going and try it out right now. But >> don't know, sent about the room just yet. You get stay here >> for okay, Mr. Excitability, I think after this keynote, come back to the red hat booth and there's an optimization section. You can come talk to our insights engineers. And even though it's really easy to get going on your own, they can help you out. Answer any questions you might have. So >> this is really the start of a new era with an intelligent operating system and beauty with intelligence you just saw right now what insights that troubles you. Fantastic. So we're enabling systems administrators to manage more red in private clinics, a greater scale than ever before. I know there's a lot more we could show you, but we're totally out of time at this point, and we kind of, you know, when a little bit sideways here moments. But we need to get off the stage. But there's one thing I want you guys to think about it. All right? Do come check out the in the booth. Like Tim just said also in our debs, Get hands on red and a prize winning state as well. But really, I want you to think about this one human and a multitude of servers. And if you remember that one thing asked you upfront. Do you feel like you get a new superpower and redhead? Is your force multiplier? All right, well, thank you so much. Josh and Lars, Tim and Brent. Thank you. And let's get Paul back on stage. >> I went brilliant. No, it's just as always, >> amazing. I mean, as you can tell from last night were really, really proud of relate in that coming out here at the summit. And what a great way to showcase it. Thanks so much to you. Birth. Thanks, Brent. Tim, Lars and Josh. Just thanks again. So you've just seen this team demonstrate how impactful rail Khun b on your data center. So hopefully hopefully many of you. If not all of you have experienced that as well. But it was super computers. We hear about that all the time, as I just told you a few minutes ago, Lennox isn't just the foundation for enterprise and cloud computing. It's also the foundation for the fastest super computers in the world. In our next guest is here to tell us a lot more about that. >> Please welcome Lawrence Livermore National Laboratory. HPC solution Architect Robin Goldstone. >> Thank you so much, Robin. >> So welcome. Welcome to the summit. Welcome to Boston. And thank thank you so much for coming for joining us. Can you tell us a bit about the goals of Lawrence Livermore National Lab and how high high performance computing really works at this level? >> Sure. So Lawrence Livermore National >> Lab was established during the Cold War to address urgent national security needs by advancing the state of nuclear weapons, science and technology and high performance computing has always been one of our core capabilities. In fact, our very first supercomputer, ah Univac one was ordered by Edward Teller before our lab even opened back in nineteen fifty two. Our mission has evolved since then to cover a broad range of national security challenges. But first and foremost, our job is to ensure the safety, security and reliability of the nation's nuclear weapons stockpile. Oh, since the US no longer performs underground nuclear testing, our ability to certify the stockpile depends heavily on science based science space methods. We rely on H P C to simulate the behavior of complex weapons systems to ensure that they can function as expected, well beyond their intended life spans. That's actually great. >> So are you really are still running on that on that Univac? >> No, Actually, we we've moved on since then. So Sierra is Lawrence Livermore. Its latest and greatest supercomputer is currently the Seconds spastic supercomputer in the world and for the geeks in the audience, I think there's a few of them out there. We put up some of the specs of Syrah on the screen behind me, a couple of things worth highlighting our Sierra's peak performance and its power utilisation. So one hundred twenty five Pata flops of performance is equivalent to about twenty thousand of those Xbox one excess that you mentioned earlier and eleven point six megawatts of power required Operate Sierra is enough to power around eleven thousand homes. Syria is a very large and complex system, but underneath it all, it starts out as a collection of servers running Lin IX and more specifically, rail. >> So did Lawrence. Did Lawrence Livermore National Lab National Lab used Yisrael before >> Sierra? Oh, yeah, most definitely. So we've been running rail for a very long time on what I'll call our mid range HPC systems. So these clusters, built from commodity components, are sort of the bread and butter of our computer center. And running rail on these systems provides us with a continuity of operations and a common user environment across multiple generations of hardware. Also between Lawrence Livermore in our sister labs, Los Alamos and Sandia. Alongside these commodity clusters, though, we've always had one sort of world class supercomputer like Sierra. Historically, these systems have been built for a sort of exotic proprietary hardware running entirely closed source operating systems. Anytime something broke, which was often the Vander would be on the hook to fix it. And you know, >> that sounds >> like a good model, except that what we found overtime is most the issues that we have on these systems were either due to the extreme scale or the complexity of our workloads. Vendors seldom had a system anywhere near the size of ours, and we couldn't give them our classified codes. So their ability to reproduce our problem was was pretty limited. In some cases, they've even sent an engineer on site to try to reproduce our problems. But even then, sometimes we wouldn't get a fix for months or else they would just tell us they weren't going to fix the problem because we were the only ones having it. >> So for many of us, for many of us, the challenges is one of driving reasons for open source, you know, for even open source existing. How has how did Sierra change? Things are on open source for >> you. Sure. So when we developed our technical requirements for Sierra, we had an explicit requirement that we want to run an open source operating system and a strong preference for rail. At the time, IBM was working with red hat toe add support Terrell for their new little Indian power architecture. So it was really just natural for them to bid a red. A rail bay system for Sierra running Raylan Cyril allows us to leverage the model that's worked so well for us for all this time on our commodity clusters any packages that we build for X eighty six, we can now build those packages for power as well as our market texture using our internal build infrastructure. And while we have a formal support relationship with IBM, we can also tap our in house colonel developers to help debug complex problems are sys. Admin is Khun now work on any of our systems, including Sierra, without having toe pull out their cheat sheet of obscure proprietary commands. Our users get a consistent software environment across all our systems. And if the security vulnerability comes out, we don't have to chase around getting fixes from Multan slo es fenders. >> You know, you've been able, you've been able to extend your foundation from all the way from X eighty six all all the way to the extract excess Excuse scale supercomputing. We talk about giving customers all we talked about it all the time. A standard operational foundation to build upon. This isn't This isn't exactly what we've envisioned. So So what's next for you >> guys? Right. So what's next? So Sierra's just now going into production. But even so, we're already working on the contract for our next supercomputer called El Capitan. That's scheduled to be delivered the Lawrence Livermore in the twenty twenty two twenty timeframe. El Capitan is expected to be about ten times the performance of Sierra. I can't share any more details about that system right now, but we are hoping that we're going to be able to continue to build on a solid foundation. That relish provided us for well over a decade. >> Well, thank you so much for your support of realm over the years, Robin. And And thank you so much for coming and tell us about it today. And we can't wait to hear more about El Capitan. Thank you. Thank you very much. So now you know why we're so proud of realm. And while you saw confetti cannons and T shirt cannons last night, um, so you know, as as burned the team talked about the demo rail is the force multiplier for servers. We've made Lennox one of the most powerful platforms in the history of platforms. But just as Lennox has become a viable platform with access for everyone, and rail has become viable, more viable every day in the enterprise open source projects began to flourish around the operating system. And we needed to bring those projects to our enterprise customers in the form of products with the same trust models as we did with Ralph seeing the incredible progress of software development occurring around Lennox. Let's let's lead us to the next goal that we said tow, tow ourselves. That goal was to make hybrid cloud the default enterprise for the architecture. How many? How many of you out here in the audience or are Cesar are? HC sees how many out there a lot. A lot. You are the people that our building the next generation of computing the hybrid cloud, you know, again with like just like our goals around Lennox. This goals might seem a little daunting in the beginning, but as a community we've proved it time and time again. We are unstoppable. Let's talk a bit about what got us to the point we're at right right now and in the work that, as always, we still have in front of us. We've been on a decade long mission on this. Believe it or not, this mission was to build the capabilities needed around the Lenox operating system to really build and make the hybrid cloud. When we saw well, first taking hold in the enterprise, we knew that was just taking the first step. Because for a platform to really succeed, you need applications running on it. And to get those applications on your platform, you have to enable developers with the tools and run times for them to build, to build upon. Over the years, we've closed a few, if not a lot of those gaps, starting with the acquisition of J. Boss many years ago, all the way to the new Cuban Eddie's native code ready workspaces we launched just a few months back. We realized very early on that building a developer friendly platform was critical to the success of Lennox and open source in the enterprise. Shortly after this, the public cloud stormed onto the scene while our first focus as a company was done on premise in customer data centers, the public cloud was really beginning to take hold. Rehl very quickly became the standard across public clouds, just as it was in the enterprise, giving customers that common operating platform to build their applications upon ensuring that those applications could move between locations without ever having to change their code or operating model. With this new model of the data center spread across so many multiple environments, management had to be completely re sought and re architected. And given the fact that environments spanned multiple locations, management, real solid management became even more important. Customers deploying in hybrid architectures had to understand where their applications were running in how they were running, regardless of which infrastructure provider they they were running on. We invested over the years with management right alongside the platform, from satellite in the early days to cloud forms to cloud forms, insights and now answerable. We focused on having management to support the platform wherever it lives. Next came data, which is very tightly linked toe applications. Enterprise class applications tend to create tons of data and to have a common operating platform foyer applications. You need a storage solutions. That's Justus, flexible as that platform able to run on premise. Just a CZ. Well, as in the cloud, even across multiple clouds. This let us tow acquisitions like bluster, SEF perma bitch in Nubia, complimenting our Pratt platform with red hat storage for us, even though this sounds very condensed, this was a decade's worth of investment, all in preparation for building the hybrid cloud. Expanding the portfolio to cover the areas that a customer would depend on to deploy riel hybrid cloud architectures, finding any finding an amplifying the right open source project and technologies, or filling the gaps with some of these acquisitions. When that necessarily wasn't available by twenty fourteen, our foundation had expanded, but one big challenge remained workload portability. Virtual machine formats were fragmented across the various deployments and higher level framework such as Java e still very much depended on a significant amount of operating system configuration and then containers happened containers, despite having a very long being in existence for a very long time. As a technology exploded on the scene in twenty fourteen, Cooper Netease followed shortly after in twenty fifteen, allowing containers to span multiple locations and in one fell swoop containers became the killer technology to really enable the hybrid cloud. And here we are. Hybrid is really the on ly practical reality in way for customers and a red hat. We've been investing in all aspects of this over the last eight plus years to make our customers and partners successful in this model. We've worked with you both our customers and our partners building critical realm in open shift deployments. We've been constantly learning about what has caused problems and what has worked well in many cases. And while we've and while we've amassed a pretty big amount of expertise to solve most any challenge in in any area that stack, it takes more than just our own learning's to build the next generation platform. Today we're also introducing open shit for which is the culmination of those learnings. This is the next generation of the application platform. This is truly a platform that has been built with our customers and not simply just with our customers in mind. This is something that could only be possible in an open source development model and just like relish the force multiplier for servers. Open shift is the force multiplier for data centers across the hybrid cloud, allowing customers to build thousands of containers and operate them its scale. And we've also announced open shift, and we've also announced azure open shift. Last night. Satya on this stage talked about that in depth. This is all about extending our goals of a common operating platform enabling applications across the hybrid cloud, regardless of whether you run it yourself or just consume it as a service. And with this flagship release, we are also introducing operators, which is the central, which is the central feature here. We talked about this work last year with the operator framework, and today we're not going to just show you today. We're not going to just show you open shift for we're going to show you operators running at scale operators that will do updates and patches for you, letting you focus more of your time and running your infrastructure and running running your business. We want to make all this easier and intuitive. So let's have a quick look at how we're doing. Just that >> painting. I know all of you have heard we're talking to pretend to new >> customers about the travel out. So new plan. Just open it up as a service been launched by this summer. Look, I know this is a big quest for not very big team. I'm open to any and all ideas. >> Please welcome back to the stage. Red Hat Global director of developer Experience burst Sutter with Jessica Forrester and Daniel McPherson. All right, we're ready to do some more now. Now. Earlier we showed you read Enterprise Clinic St running on lots of different hardware like this hardware you see right now And we're also running across multiple cloud providers. But now we're going to move to another world of Lennox Containers. This is where you see open shift four on how you can manage large clusters of applications from eggs limits containers across the hybrid cloud. We're going to see this is where suffer operators fundamentally empower human operators and especially make ups and Deb work efficiently, more efficiently and effectively there together than ever before. Rights. We have to focus on the stage right now. They're represent ops in death, and we're gonna go see how they reeled in application together. Okay, so let me introduce you to Dan. Dan is totally representing all our ops folks in the audience here today, and he's telling my ops, comfort person Let's go to call him Mr Ops. So Dan, >> thanks for with open before, we had a much easier time setting up in maintaining our clusters. In large part, that's because open shit for has extended management of the clusters down to the infrastructure, the diversity kinds of parent. When you take >> a look at the open ship console, >> you can now see the machines that make up the cluster where machine represents the infrastructure. Underneath that Cooper, Eddie's node open shit for now handles provisioning Andy provisioning of those machines. From there, you could dig into it open ship node and see how it's configured and monitor how it's behaving. So >> I'm curious, >> though it does this work on bare metal infrastructure as well as virtualized infrastructure. >> Yeah, that's right. Burn So Pa Journal nodes, no eternal machines and open shit for can now manage it all. Something else we found extremely useful about open ship for is that it now has the ability to update itself. We can see this cluster hasn't update available and at the press of a button. Upgrades are responsible for updating. The entire platform includes the nodes, the control plane and even the operating system and real core arrests. All of this is possible because the infrastructure components and their configuration is now controlled by technology called operators. Thes software operators are responsible for aligning the cluster to a desired state. And all of this makes operational management of unopened ship cluster much simpler than ever before. All right, I >> love the fact that all that's been on one console Now you can see the full stack right all way down to the bare metal right there in that one console. Fantastic. So I wanted to scare us for a moment, though. And now let's talk to Deva, right? So Jessica here represents our all our developers in the room as my facts. He manages a large team of developers here Red hat. But more importantly, she represents our vice president development and has a large team that she has to worry about on a regular basis of Jessica. What can you show us? We'LL burn My team has hundreds of developers and were constantly under pressure to deliver value to our business. And frankly, we can't really wait for Dan and his ops team to provisioned the infrastructure and the services that we need to do our job. So we've chosen open shift as our platform to run our applications on. But until recently, we really struggled to find a reliable source of Cooper Netease Technologies that have the operational characteristics that Dan's going to actually let us install through the cluster. But now, with operator, How bio, we're really seeing the V ecosystem be unlocked. And the technology's there. Things that my team needs, its databases and message cues tracing and monitoring. And these operators are actually responsible for complex applications like Prometheus here. Okay, they're written in a variety of languages, danceable, but that is awesome. So I do see a number of options there already, and preaches is a great example. But >> how do you >> know that one? These operators really is mature enough and robust enough for Dan and the outside of the house. Wilbert, Here we have the operator maturity model, and this is going to tell me and my team whether this particular operator is going to do a basic install if it's going to upgrade that application over time through different versions or all the way out to full auto pilot, where it's automatically scaling and tuning the application based on the current environment. And it's very cool. So coming over toothy open shift Consul, now we can actually see Dan has made the sequel server operator available to me and my team. That's the database that we're using. A sequel server. That's a great example. So cynics over running here in the cluster? But this is a great example for a developer. What if I want to create a new secret server instance? Sure, we're so it's as easy as provisioning any other service from the developer catalog. We come in and I can type for sequel server on what this is actually creating is, ah, native resource called Sequel Server, and you can think of that like a promise that a sequel server will get created. The operator is going to see that resource, install the application and then manage it over its life cycle, KAL, and from this install it operators view, I can see the operators running in my project and which resource is its managing Okay, but I'm >> kind of missing >> something here. I see this custom resource here, the sequel server. But where the community's resource is like pods. Yeah, I think it's cool that we get this native resource now called Sequel Server. But if I need to, I can still come in and see the native communities. Resource is like your staple set in service here. Okay, that is fantastic. Now, we did say earlier on, though, like many of our customers in the audience right now, you have a large team of engineers. Lost a large team of developers you gotta handle. You gotta have more than one secret server, right? We do one for every team as we're developing, and we use a lot of other technologies running on open shift as well, including Tomcat and our Jenkins pipelines and our dough js app that is gonna actually talk to that sequel server database. Okay, so this point we can kind of provisions, Some of these? Yes. Oh, since all of this is self service for me and my team's, I'm actually gonna go and create one of all of those things I just said on all of our projects, right Now, if you just give me a minute, Okay? Well, right. So basically, you're going to knock down No Jazz Jenkins sequel server. All right, now, that's like hundreds of bits of application level infrastructure right now. Live. So, Dan, are you not terrified? Well, I >> guess I should have done a little bit better >> job of managing guests this quota and historically just can. I might have had some conflict here because creating all these new applications would admit my team now had a massive back like tickets to work on. But now, because of software operators, my human operators were able to run our infrastructure at scale. So since I'm long into the cluster here as the cluster admin, I get this view of pods across all projects. And so I get an idea of what's happening across the entire cluster. And so I could see now we have four hundred ninety four pods already running, and there's a few more still starting up. And if I scroll to the list, we can see the different workloads Jessica just mentioned of Tomcats. And no Gs is And Jenkins is and and Siegel servers down here too, you know, I see continues >> creating and you have, like, close to five hundred pods running >> there. So, yeah, filters list down by secret server, so we could just see. Okay, But >> aren't you not >> running going around a cluster capacity at some point? >> Actually, yeah, we we definitely have a limited capacity in this cluster. And so, luckily, though, we already set up auto scale er's And so because the additional workload was launching, we see now those outer scholars have kicked in and some new machines are being created that don't yet have noticed. I'm because they're still starting up. And so there's another good view of this as well, so you can see machine sets. We have one machine set per availability zone, and you could see the each one is now scaling from ten to twelve machines. And the way they all those killers working is for each availability zone, they will. If capacities needed, they will add additional machines to that availability zone and then later effect fast. He's no longer needed. It will automatically take those machines away. >> That is incredible. So right now we're auto scaling across multiple available zones based on load. Okay, so looks like capacity planning and automation is fully, you know, handle this point. But I >> do have >> another question for year logged in. Is the cluster admin right now into the console? Can you show us your view of >> operator suffer operators? Actually, there's a couple of unique views here for operators, for Cluster admits. The first of those is operator Hub. This is where a cluster admin gets the ability to curate the experience of what operators are available to users of the cluster. And so obviously we already have the secret server operator installed, which which we've been using. The other unique view is operator management. This gives a cluster I've been the ability to maintain the operators they've already installed. And so if we dig in and see the secret server operator, well, see, we haven't set up for manual approval. And what that means is if a new update comes in for a single server, then a cluster and we would have the ability to approve or disapprove with that update before installs into the cluster, we'LL actually and there isn't upgrade that's available. Uh, I should probably wait to install this, though we're in the middle of scaling out this cluster. And I really don't want to disturb Jessica's application. Workflow. >> Yeah, so, actually, Dan, it's fine. My app is already up. It's running. Let me show it to you over here. So this is our products application that's talking to that sequel server instance. And for debugging purposes, we can see which version of sequel server we're currently talking to. Its two point two right now. And then which pod? Since this is a cluster, there's more than one secret server pod we could be connected to. Okay, I could see right there the bounder screeners they know to point to. That's the version we have right now. But, you know, >> this is kind of >> point of software operators at this point. So, you know, everyone in this room, you know, wants to see you hit that upgrade button. Let's do it. Live here on stage. Right, then. All >> right. All right. I could see where this is going. So whenever you updated operator, it's just like any other resource on communities. And so the first thing that happens is the operator pot itself gets updated so we actually see a new version of the operator is currently being created now, and what's that gets created, the overseer will be terminated. And that point, the new, softer operator will notice. It's now responsible for managing lots of existing Siegel servers already in the environment. And so it's then going Teo update each of those sickle servers to match to the new version of the single server operator and so we could see it's running. And so if we switch now to the all projects view and we filter that list down by sequel server, then we should be able to see us. So lots of these sickle servers are now being created and the old ones are being terminated. So is the rolling update across the cluster? Exactly a So the secret server operator Deploy single server and an H A configuration. And it's on ly updates a single instance of secret server at a time, which means single server always left in nature configuration, and Jessica doesn't really have to worry about downtime with their applications. >> Yeah, that's awesome dance. So glad the team doesn't have to worry about >> that anymore and just got I think enough of these might have run by Now, if you try your app again might be updated. >> Let's see Jessica's application up here. All right. On laptop three. >> Here we go. >> Fantastic. And yet look, we're We're into two before we're onto three. Now we're on to victory. Excellent on. >> You know, I actually works so well. I don't even see a reason for us to leave this on manual approval. So I'm going to switch this automatic approval. And then in the future, if a new single server comes in, then we don't have to do anything, and it'll be all automatically updated on the cluster. >> That is absolutely fantastic. And so I was glad you guys got a chance to see that rolling update across the cluster. That is so cool. The Secret Service database being automated and fully updated. That is fantastic. Alright, so I can see how a software operator doesn't able. You don't manage hundreds if not thousands of applications. I know a lot of folks or interest in the back in infrastructure. Could you give us an example of the infrastructure >> behind this console? Yeah, absolutely. So we all know that open shift is designed that run in lots of different environments. But our teams think that as your redhead over, Schiff provides one of the best experiences by deeply integrating the open chief Resource is into the azure console, and it's even integrated into the azure command line toll and the easy open ship man. And, as was announced yesterday, it's now available for everyone to try out. And there's actually one more thing we wanted to show Everyone related to open shit, for this is all so new with a penchant for which is we now have multi cluster management. This gives you the ability to keep track of all your open shift environments, regardless of where they're running as well as you can create new clusters from here. And I'll dig into the azure cluster that we were just taking a look at. >> Okay, but is this user and face something have to install them one of my existing clusters? >> No, actually, this is the host of service that's provided by Red hat is part of cloud that redhead that calm and so all you have to do is log in with your red hair credentials to get access. >> That is incredible. So one console, one user experience to see across the entire hybrid cloud we saw earlier with Red update. Right and red embers. Thank Satan. Now we see it for multi cluster management. But home shift so you can fundamentally see. Now the suffer operators do finally change the game when it comes to making human operators vastly more productive and, more importantly, making Devon ops work more efficiently together than ever before. So we saw the rich ice vehicle system of those software operators. We can manage them across the Khyber Cloud with any, um, shift instance. And more importantly, I want to say Dan and Jessica for helping us with this demonstration. Okay, fantastic stuff, guys. Thank you so much. Let's get Paul back out here >> once again. Thanks >> so much to burn his team. Jessica and Dan. So you've just seen how open shift operators can help you manage hundreds, even thousands of applications. Install, upgrade, remove nodes, control everything about your application environment, virtual physical, all the way out to the cloud making, making things happen when the business demands it even at scale, because that's where it's going to get. Our next guest has lots of experience with demand at scale. and they're using open source container management to do it. Their work, their their their work building a successful cloud, First platform and there, the twenty nineteen Innovation Award winner. >> Please welcome twenty nineteen Innovation Award winner. Cole's senior vice president of technology, Rich Hodak. >> How you doing? Thanks. >> Thanks so much for coming out. We really appreciate it. So I guess you guys set some big goals, too. So can you baby tell us about the bold goal? Helped you personally help set for Cole's. And what inspired you to take that on? Yes. So it was twenty seventeen and life was pretty good. I had no gray hair and our business was, well, our tech was working well, and but we knew we'd have to do better into the future if we wanted to compete. Retails being disrupted. Our customers are asking for new experiences, So we set out on a goal to become an open hybrid cloud platform, and we chose Red had to partner with us on a lot of that. We set off on a three year journey. We're currently in Year two, and so far all KP eyes are on track, so it's been a great journey thus far. That's awesome. That's awesome. So So you Obviously, Obviously you think open source is the way to do cloud computing. So way absolutely agree with you on that point. So So what? What is it that's convinced you even more along? Yeah, So I think first and foremost wait, do we have a lot of traditional IAS fees? But we found that the open source partners actually are outpacing them with innovation. So I think that's where it starts for us. Um, secondly, we think there's maybe some financial upside to going more open source. We think we can maybe take some cost out unwind from these big fellas were in and thirdly, a CZ. We go to universities. We started hearing. Is we interviewed? Hey, what is Cole's doing with open source and way? Wanted to use that as a lever to help recruit talent. So I'm kind of excited, you know, we partner with Red Hat on open shift in in Rail and Gloucester and active M Q and answerable and lots of things. But we've also now launched our first open source projects. So it's really great to see this journey. We've been on. That's awesome, Rich. So you're in. You're in a high touch beta with with open shift for So what? What features and components or capabilities are you most excited about and looking forward to what? The launch and you know, and what? You know what? What are the something maybe some new goals that you might be able to accomplish with with the new features. And yeah, So I will tell you we're off to a great start with open shift. We've been on the platform for over a year now. We want an innovation award. We have this great team of engineers out here that have done some outstanding work. But certainly there's room to continue to mature that platform. It calls, and we're excited about open shift, for I think there's probably three things that were really looking forward to. One is we're looking forward to, ah, better upgrade process. And I think we saw, you know, some of that in the last demo. So upgrades have been kind of painful up until now. So we think that that that will help us. Um, number two, A lot of our open shift workloads today or the workloads. We run an open shifts are the stateless apse. Right? And we're really looking forward to moving more of our state full lapse into the platform. And then thirdly, I think that we've done a great job of automating a lot of the day. One stuff, you know, the provisioning of, of things. There's great opportunity o out there to do mohr automation for day two things. So to integrate mohr with our messaging systems in our database systems and so forth. So we, uh we're excited. Teo, get on board with the version for wear too. So, you know, I hope you, Khun, we can help you get to the next goals and we're going to continue to do that. Thank you. Thank you so much rich, you know, all the way from from rail toe open shift. It's really exciting for us, frankly, to see our products helping you solve World War were problems. What's you know what? Which is. Really? Why way do this and and getting into both of our goals. So thank you. Thank you very much. And thanks for your support. We really appreciate it. Thanks. It has all been amazing so far and we're not done. A critical part of being successful in the hybrid cloud is being successful in your data center with your own infrastructure. We've been helping our customers do that in these environments. For almost twenty years now, we've been running the most complex work loads in the world. But you know, while the public cloud has opened up tremendous possibilities, it also brings in another type of another layer of infrastructure complexity. So what's our next goal? Extend your extend your data center all the way to the edge while being as effective as you have been over the last twenty twenty years, when it's all at your own fingertips. First from a practical sense, Enterprises air going to have to have their own data centers in their own environment for a very long time. But there are advantages of being able to manage your own infrastructure that expand even beyond the public cloud all the way out to the edge. In fact, we talked about that very early on how technology advances in computer networking is storage are changing the physical boundaries of the data center every single day. The need, the need to process data at the source is becoming more and more critical. New use cases Air coming up every day. Self driving cars need to make the decisions on the fly. In the car factory processes are using a I need to adapt in real time. The factory floor has become the new edge of the data center, working with things like video analysis of a of A car's paint job as it comes off the line, where a massive amount of data is on ly needed for seconds in order to make critical decisions in real time. If we had to wait for the video to go up to the cloud and back, it would be too late. The damage would have already been done. The enterprise is being stretched to be able to process on site, whether it's in a car, a factory, a store or in eight or nine PM, usually involving massive amounts of data that just can't easily be moved. Just like these use cases couldn't be solved in private cloud alone because of things like blatant see on data movement, toe address, real time and requirements. They also can't be solved in public cloud alone. This is why open hybrid is really the model that's needed in the only model forward. So how do you address this class of workload that requires all of the above running at the edge? With the latest technology all its scale, let me give you a bit of a preview of what we're working on. We are taking our open hybrid cloud technologies to the edge, Integrated with integrated with Aro AM Hardware Partners. This is a preview of a solution that will contain red had open shift self storage in K V M virtual ization with Red Hat Enterprise Lennox at the core, all running on pre configured hardware. The first hardware out of the out of the gate will be with our long time. Oh, am partner Del Technologies. So let's bring back burn the team to see what's right around the corner. >> Please welcome back to the stage. Red Hat. Global director of developer Experience burst Sutter with Kareema Sharma. Okay, We just how was your Foreign operators have redefined the capabilities and usability of the open hybrid cloud, and now we're going to show you a few more things. Okay, so just be ready for that. But I know many of our customers in this audience right now, as well as the customers who aren't even here today. You're running tens of thousands of applications on open chef clusters. We know that disappearing right now, but we also know that >> you're not >> actually in the business of running terminators clusters. You're in the business of oil and gas from the business retail. You're in a business transportation, you're in some other business and you don't really want to manage those things at all. We also know though you have lo latest requirements like Polish is talking about. And you also dated gravity concerns where you >> need to keep >> that on your premises. So what you're about to see right now in this demonstration is where we've taken open ship for and made a bare metal cluster right here on this stage. This is a fully automated platform. There is no underlying hyper visor below this platform. It's open ship running on bare metal. And this is your crew vanities. Native infrastructure, where we brought together via mes containers networking and storage with me right now is green mush arma. She's one of her engineering leaders responsible for infrastructure technologies. Please welcome to the stage, Karima. >> Thank you. My pleasure to be here, whether it had summit. So let's start a cloud. Rid her dot com and here we can see the classroom Dannon Jessica working on just a few moments ago From here we have a bird's eye view ofthe all of our open ship plasters across the hybrid cloud from multiple cloud providers to on premises and noticed the spare medal last year. Well, that's the one that my team built right here on this stage. So let's go ahead and open the admin console for that last year. Now, in this demo, we'LL take a look at three things. A multi plaster inventory for the open Harbor cloud at cloud redhead dot com. Second open shift container storage, providing convert storage for virtual machines and containers and the same functionality for cloud vert and bare metal. And third, everything we see here is scuba unit is native, so by plugging directly into communities, orchestration begin common storage. Let working on monitoring facilities now. Last year, we saw how continue native actualization and Q Bert allow you to run virtual machines on Cabinet is an open shift, allowing for a single converge platform to manage both containers and virtual machines. So here I have this dark net project now from last year behead of induced virtual machine running it S P darknet application, and we had started to modernize and continue. Arise it by moving. Parts of the application from the windows began to the next containers. So let's take a look at it here. I have it again. >> Oh, large shirt, you windows. Earlier on, I was playing this game back stage, so it's just playing a little solitaire. Sorry about that. >> So we don't really have time for that right now. Birds. But as I was saying, Over here, I have Visions Studio Now the window's virtual machine is just another container and open shift and the i d be service for the virtual machine. It's just another service in open shift open shifts. Running both containers and virtual machines together opens a whole new world of possibilities. But why stop there? So this here be broadened to come in. It is native infrastructure as our vision to redefine the operation's off on premises infrastructure, and this applies to all matters of workloads. Using open shift on metal running all the way from the data center to the edge. No by your desk, right to main benefits. Want to help reduce the operation casts And second, to help bring advance good when it is orchestration concept to your infrastructure. So next, let's take a look at storage. So open shift container storage is software defined storage, providing the same functionality for both the public and the private lads. By leveraging the operator framework, open shift container storage automatically detects the available hardware configuration to utilize the discs in the most optimal vein. So then adding my note, you don't have to think about how to balance the storage. Storage is just another service running an open shift. >> And I really love this dashboard quite honestly, because I love seeing all the storage right here. So I'm kind of curious, though. Karima. What kind of storage would you What, What kind of applications would you use with the storage? >> Yeah, so this is the persistent storage. To be used by a database is your files and any data from applications such as a Magic Africa. Now the A Patrick after operator uses school, been at this for scheduling and high availability, and it uses open shift containers. Shortest. Restore the messages now Here are on premises. System is running a caf co workload streaming sensor data on DH. We want toe sort it and act on it locally, right In a minute. A place where maybe we need low latency or maybe in a data lake like situation. So we don't want to send the starter to the cloud. Instead, we want to act on it locally, right? Let's look at the griffon a dashboard and see how our system is doing so with the incoming message rate of about four hundred messages for second, the system seems to be performing well, right? I want to emphasize this is a fully integrated system. We're doing the testing An optimization sze so that the system can Artoo tune itself based on the applications. >> Okay, I love the automated operations. Now I am a curious because I know other folks in the audience want to know this too. What? Can you tell us more about how there's truly integrated communities can give us an example of that? >> Yes. Again, You know, I want to emphasize everything here is managed poorly by communities on open shift. Right. So you can really use the latest coolest to manage them. All right. Next, let's take a look at how easy it is to use K native with azure functions to script alive Reaction to a live migration event. >> Okay, Native is a great example. If actually were part of my breakout session yesterday, you saw me demonstrate came native. And actually, if you want to get hands on with it tonight, you can come to our guru night at five PM and actually get hands on like a native. So I really have enjoyed using K. Dated myself as a software developer. And but I am curious about the azure functions component. >> Yeah, so as your functions is a function is a service engine developed by Microsoft fully open source, and it runs on top of communities. So it works really well with our on premises open shift here. Right now, I have a simple azure function that I already have here and this azure function, you know, Let's see if this will send out a tweet every time we live My greater Windows virtual machine. Right. So I have it integrated with open shift on DH. Let's move a note to maintenance to see what happens. So >> basically has that via moves. We're going to see the event triggered. They trigger the function. >> Yeah, important point I want to make again here. Windows virtue in machines are equal citizens inside of open shift. We're investing heavily in automation through the use of the operator framework and also providing integration with the hardware. Right, So next, Now let's move that note to maintain it. >> But let's be very clear here. I wanna make sure you understand one thing, and that is there is no underlying virtual ization software here. This is open ship running on bear. Meddle with these bare metal host. >> That is absolutely right. The system can automatically discover the bare metal hosts. All right, so here, let's move this note to maintenance. So I start them Internets now. But what will happen at this point is storage will heal itself, and communities will bring back the same level of service for the CAFTA application by launching a part on another note and the virtual machine belive my great right and this will create communities events. So we can see. You know, the events in the event stream changes have started to happen. And as a result of this migration, the key native function will send out a tweet to confirm that could win. It is native infrastructure has indeed done the migration for the live Ian. Right? >> See the events rolling through right there? >> Yeah. All right. And if we go to Twitter? >> All right, we got tweets. Fantastic. >> And here we can see the source Nord report. Migration has succeeded. It's a pretty cool stuff right here. No. So we want to bring you a cloud like experience, but this means is we're making operational ease a fuse as a top goal. We're investing heavily in encapsulating management knowledge and working to pre certify hardware configuration in working with their partners such as Dell, and they're dead already. Note program so that we can provide you guidance on specific benchmarks for specific work loads on our auto tuning system. >> All right, well, this is tow. I know right now, you're right thing, and I want to jump on the stage and check out the spare metal cluster. But you should not right. Wait After the keynote didn't. Come on, check it out. But also, I want you to go out there and think about visiting our partner Del and their booth where they have one. These clusters also. Okay, So this is where vmc networking and containers the storage all come together And a Kurban in his native infrastructure. You've seen right here on this stage, but an agreement. You have a bit more. >> Yes. So this is literally the cloud coming down from the heavens to us. >> Okay? Right here, Right now. >> Right here, right now. So, to close the loop, you can have your plaster connected to cloud redhead dot com for our insights inside reliability engineering services so that we can proactively provide you with the guidance through automated analyses of telemetry in logs and help flag a problem even before you notice you have it Beat software, hardware, performance, our security. And one more thing. I want to congratulate the engineers behind the school technology. >> Absolutely. There's a lot of engineers here that worked on this cluster and worked on the stack. Absolutely. Thank you. Really awesome stuff. And again do go check out our partner Dale. They're just out that door I can see them from here. They have one. These clusters get a chance to talk to them about how to run your open shift for on a bare metal cluster as well. Right, Kareema, Thank you so much. That was totally awesome. We're at a time, and we got to turn this back over to Paul. >> Thank you. Right. >> Okay. Okay. Thanks >> again. Burned, Kareema. Awesome. You know, So even with all the exciting capabilities that you're seeing, I want to take a moment to go back to the to the first platform tenant that we learned with rail, that the platform has to be developer friendly. Our next guest knows something about connecting a technology like open shift to their developers and part of their company. Wide transformation and their ability to shift the business that helped them helped them make take advantage of the innovation. Their Innovation award winner this year. Please, Let's welcome Ed to the stage. >> Please welcome. Twenty nineteen. Innovation Award winner. BP Vice President, Digital transformation. Ed Alford. >> Thanks, Ed. How your fake Good. So was full. Get right into it. What we go you guys trying to accomplish at BP and and How is the goal really important in mandatory within your organization? Support on everyone else were global energy >> business, with operations and over seventy countries. Andi. We've embraced what we call the jewel challenge, which is increasing the mind for energy that we have as individuals in the world. But we need to produce the energy with fuel emissions. It's part of that. One of our strategic priorities that we >> have is to modernize the whole group on. That means simplifying our processes and enhancing >> productivity through digital solutions. So we're using chlo based technologies >> on, more importantly, open source technologies to clear a community and say, the whole group that collaborates effectively and efficiently and uses our data and expertise to embrace the jewel challenge and actually try and help solve that problem. That's great. So So how did these heart of these new ways of working benefit your team and really the entire organ, maybe even the company as a whole? So we've been given the Innovation Award for Digital conveyor both in the way it was created and also in water is delivering a couple of guys in the audience poll costal and brewskies as he they they're in the team. Their teams developed that convey here, using our jail and Dev ops and some things. We talk about this stuff a lot, but actually the they did it in a truly our jail and develops we, um that enabled them to experiment and walking with different ways. And highlight in the skill set is that we, as a group required in order to transform using these approaches, we can no move things from ideation to scale and weeks and days sometimes rather than months. Andi, I think that if we can take what they've done on DH, use more open source technology, we contain that technology and apply across the whole group to tackle this Jill challenge. And I think that we use technologists and it's really cool. I think that we can no use technology and open source technology to solve some of these big challenges that we have and actually just preserve the planet in a better way. So So what's the next step for you guys at BP? So moving forward, we we are embracing ourselves, bracing a clothed, forced organization. We need to continue to live to deliver on our strategy, build >> over the technology across the entire group to address the jewel >> challenge and continue to make some of these bold changes and actually get into and really use. Our technology is, I said, too addresses you'LL challenge and make the future of our planet a better place for ourselves and our children and our children's children. That's that's a big goal. But thank you so much, Ed. Thanks for your support. And thanks for coming today. Thank you very much. Thank you. Now comes the part that, frankly, I think his best part of the best part of this presentation We're going to meet the type of person that makes all of these things a reality. This tip this type of person typically works for one of our customers or with one of with one of our customers as a partner to help them make the kinds of bold goals like you've heard about today and the ones you'll hear about Maura the way more in the >> week. I think the thing I like most about it is you feel that reward Just helping people I mean and helping people with stuff you enjoy right with computers. My dad was the math and science teacher at the local high school. And so in the early eighties, that kind of met here, the default person. So he's always bringing in a computer stuff, and I started a pretty young age. What Jason's been able to do here is Mohr evangelize a lot of the technologies between different teams. I think a lot of it comes from the training and his certifications that he's got. He's always concerned about their experience, how easy it is for them to get applications written, how easy it is for them to get them up and running at the end of the day. We're a loan company, you know. That's way we lean on accounting like red. That's where we get our support front. That's why we decided to go with a product like open shift. I really, really like to product. So I went down. The certification are out in the training ground to learn more about open shit itself. So my daughter's teacher, they were doing a day of coding, and so they asked me if I wanted to come and talk about what I do and then spend the day helping the kids do their coding class. The people that we have on our teams, like Jason, are what make us better than our competitors, right? Anybody could buy something off the shelf. It's people like him. They're able to take that and mold it into something that then it is a great offering for our partners and for >> customers. Please welcome Red Hat Certified Professional of the Year Jason Hyatt. >> Jason, Congratulations. Congratulations. What a what a big day, huh? What a really big day. You know, it's great. It's great to see such work, You know that you've done here. But you know what's really great and shows out in your video It's really especially rewarding. Tow us. And I'm sure to you as well to see how skills can open doors for for one for young women, like your daughters who already loves technology. So I'd liketo I'd like to present this to you right now. Take congratulations. Congratulations. Good. And we I know you're going to bring this passion. I know you bring this in, everything you do. So >> it's this Congratulations again. Thanks, Paul. It's been really exciting, and I was really excited to bring my family here to show the experience. It's it's >> really great. It's really great to see him all here as well going. Maybe we could you could You guys could stand up. So before we leave before we leave the stage, you know, I just wanted to ask, What's the most important skill that you'LL pass on from all your training to the future generations? >> So I think the most important thing is you have to be a continuous learner you can't really settle for. Ah, you can't be comfortable on learning, which I already know. You have to really drive a continuous Lerner. And of course, you got to use the I ninety. Maxwell. Quite. >> I don't even have to ask you the question. Of course. Right. Of course. That's awesome. That's awesome. And thank you. Thank you for everything, for everything that you're doing. So thanks again. Thank you. You know what makes open source work is passion and people that apply those considerable talents that passion like Jason here to making it worked and to contribute their idea there. There's back. And believe me, it's really an impressive group of people. You know you're family and especially Berkeley in the video. I hope you know that the redhead, the certified of the year is the best of the best. The cream of the crop and your dad is the best of the best of that. So you should be very, very happy for that. I also and I also can't wait. Teo, I also can't wait to come back here on this stage ten years from now and present that same award to you. Berkeley. So great. You should be proud. You know, everything you've heard about today is just a small representation of what's ahead of us. We've had us. We've had a set of goals and realize some bold goals over the last number of years that have gotten us to where we are today. Just to recap those bold goals First bait build a company based solely on open source software. It seems so logical now, but it had never been done before. Next building the operating system of the future that's going to run in power. The enterprise making the standard base platform in the op in the Enterprise Olympics based operating system. And after that making hybrid cloud the architecture of the future make hybrid the new data center, all leading to the largest software acquisition in history. Think about it around us around a company with one hundred percent open source DNA without. Throughout. Despite all the fun we encountered over those last seventeen years, I have to ask, Is there really any question that open source has won? Realizing our bold goals and changing the way software is developed in the commercial world was what we set out to do from the first day in the Red Hat was born. But we only got to that goal because of you. Many of you contributors, many of you knew toe open source software and willing to take the risk along side of us and many of partners on that journey, both inside and outside of Red Hat. Going forward with the reach of IBM, Red hat will accelerate. Even Mohr. This will bring open source general innovation to the next generation hybrid data center, continuing on our original mission and goal to bring open source technology toe every corner of the planet. What I what I just went through in the last hour Soul, while mind boggling to many of us in the room who have had a front row seat to this overto last seventeen plus years has only been red hats. First step. Think about it. We have brought open source development from a niche player to the dominant development model in software and beyond. Open Source is now the cornerstone of the multi billion dollar enterprise software world and even the next generation hybrid act. Architecture would not even be possible without Lennox at the core in the open innovation that it feeds to build around it. This is not just a step forward for software. It's a huge leap in the technology world beyond even what the original pioneers of open source ever could have imagined. We have. We have witnessed open source accomplished in the last seventeen years more than what most people will see in their career. Or maybe even a lifetime open source has forever changed the boundaries of what will be possible in technology in the future. And in the one last thing to say, it's everybody in this room and beyond. Everyone outside continue the mission. Thanks have a great sum. It's great to see it
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Ladies and gentlemen, please welcome Red Hat President Products and Technologies. Kennedy setting the gold to the American people to go to the moon. that point I knew that despite the promise of Lennox, we had a lot of work ahead of us. So it is an honor for me to be able to show it to you live on stage today. And we're not about the clinic's eight. And Morgan, There's windows. That means that for the first time, you can log in from any device Because that's the standard Lennox off site. I love the dashboard overview of the system, You see the load of the system, some some of its properties. So what about if I have to add a whole new application to this environment? Which the way for you to install different versions of your half stack that That is fantastic and the application streams Want to keep up with the fast moving ecosystems off programming I know some people were thinking it right now. everyone you want two or three or whichever your application needs. And I'm going to the rat knowledge base and looking up things like, you know, PV create VD, I've opened the storage space for you right here, where you see an overview of your storage. you know, we'll have another question for you. you know a lot of people, including me and people in the audience like that dark out right? much easier, including a post gra seeker and, of course, the python that we saw right there. Yeah, absolutely. And it's saved so that you don't actually have to know all the various incantations from Amazon I All right, Well, if you want to prevent a holy war in your system, you can actually use satellite to filter that out. Okay, So this VM image we just created right now from that blueprint this is now I can actually go out there and easily so you can really hit your Clyburn hybrid cloud operating system images. and I just need a few moments for it to build. So while that's taking a few moments, I know there's another key question in the minds of the audience right now, You see all my relate machines here, including the one I showed you what Consul on before. Okay, okay, so now it's progressing. it's progressing. live upgrade on stage. Detective that and you know, it doesn't run the Afghan cause we don't support operating that. So the good news is, we were protected from possible failed upgrade there, That's the idea. And I really love what you showed us there. So you were away for so long. So the really cool thing about this bird is that all of these images were built So thank you so much for that large. more to talk to you about. I'm going to show you here a satellite inventory and his So he's all the machines can get updated in one fell swoop. And there's one thing that I want to bring your attention to today because it's brand new. I know that in the minds of the audience right now. I've actually been waiting for a while patiently for you to get to the really good stuff. there's one more thing that I wanted to let folks know about. next eight and some features that we have there. So, actually, one of the key design principles of relate is working with our customers over the last twenty years to integrate OK, so we basically have this new feature. So And this is this list is growing every single day, so customers can actually opt in to the rules that are most But it comes to CVS and things that nature. This is the satellite that we saw before, and I'll grab one of the hosts and I love it so it's just a single command and you're ready to register this box right now. I'm going to show you one more thing. I know everyone's waiting for it as well, But hey, you're VM is ready. Yeah, insights is a really cool feature And I've got it in all my images already. the machines registering on cloud that redhead dot com ready to be managed. OK, so all those onstage PM's as well as the hybrid cloud VM should be popping in IRC Post Chris equals Well, We saw that in the overview, and I can actually go and get some more details about what this everybody to go try this like, we really need to get this thing going and try it out right now. don't know, sent about the room just yet. And even though it's really easy to get going on and we kind of, you know, when a little bit sideways here moments. I went brilliant. We hear about that all the time, as I just told Please welcome Lawrence Livermore National Laboratory. And thank thank you so much for coming for But first and foremost, our job is to ensure the safety, and for the geeks in the audience, I think there's a few of them out there. before And you know, Vendors seldom had a system anywhere near the size of ours, and we couldn't give them our classified open source, you know, for even open source existing. And if the security vulnerability comes out, we don't have to chase around getting fixes from Multan slo all the way to the extract excess Excuse scale supercomputing. share any more details about that system right now, but we are hoping that we're going to be able of the data center spread across so many multiple environments, management had to be I know all of you have heard we're talking to pretend to new customers about the travel out. Earlier we showed you read Enterprise Clinic St running on lots of In large part, that's because open shit for has extended management of the clusters down to the infrastructure, you can now see the machines that make up the cluster where machine represents the infrastructure. Thes software operators are responsible for aligning the cluster to a desired state. of Cooper Netease Technologies that have the operational characteristics that Dan's going to actually let us has made the sequel server operator available to me and my team. Okay, so this point we can kind of provisions, And if I scroll to the list, we can see the different workloads Jessica just mentioned Okay, But And the way they all those killers working is Okay, so looks like capacity planning and automation is fully, you know, handle this point. Is the cluster admin right now into the console? This gives a cluster I've been the ability to maintain the operators they've already installed. So this is our products application that's talking to that sequel server instance. So, you know, everyone in this room, you know, wants to see you hit that upgrade button. And that point, the new, softer operator will notice. So glad the team doesn't have to worry about that anymore and just got I think enough of these might have run by Now, if you try your app again Let's see Jessica's application up here. And yet look, we're We're into two before we're onto three. So I'm going to switch this automatic approval. And so I was glad you guys got a chance to see that rolling update across the cluster. And I'll dig into the azure cluster that we were just taking a look at. all you have to do is log in with your red hair credentials to get access. So one console, one user experience to see across the entire hybrid cloud we saw earlier with Red Thanks so much to burn his team. of technology, Rich Hodak. How you doing? center all the way to the edge while being as effective as you have been over of the open hybrid cloud, and now we're going to show you a few more things. You're in the business of oil and gas from the business retail. And this is your crew vanities. Well, that's the one that my team built right here on this stage. Oh, large shirt, you windows. open shift container storage automatically detects the available hardware configuration to What kind of storage would you What, What kind of applications would you use with the storage? four hundred messages for second, the system seems to be performing well, right? Now I am a curious because I know other folks in the audience want to know this too. So you can really use the latest coolest to manage And but I am curious about the azure functions component. and this azure function, you know, Let's see if this will We're going to see the event triggered. So next, Now let's move that note to maintain it. I wanna make sure you understand one thing, and that is there is no underlying virtual ization software here. You know, the events in the event stream changes have started to happen. And if we go to Twitter? All right, we got tweets. No. So we want to bring you a cloud like experience, but this means is I want you to go out there and think about visiting our partner Del and their booth where they have one. Right here, Right now. So, to close the loop, you can have your plaster connected to cloud redhead These clusters get a chance to talk to them about how to run your open shift for on a bare metal Thank you. rail, that the platform has to be developer friendly. Please welcome. What we go you guys trying to accomplish at BP and and How is the goal One of our strategic priorities that we have is to modernize the whole group on. So we're using chlo based technologies And highlight in the skill part of this presentation We're going to meet the type of person that makes And so in the early eighties, welcome Red Hat Certified Professional of the Year Jason Hyatt. So I'd liketo I'd like to present this to you right now. to bring my family here to show the experience. before we leave before we leave the stage, you know, I just wanted to ask, What's the most important So I think the most important thing is you have to be a continuous learner you can't really settle for. And in the one last thing to say, it's everybody in this room and
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Varun Chhabra, Dell EMC & Muneyb Minhazuddin, VMware | Dell Technologies World 2019
>> live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen. Brought to you by Del Technologies and its ecosystem partners. >> Welcome back to the cubes Live coverage of Del World Technologies Here in Las Vegas. I'm your host, Rebecca Night, along with my co host Stew Minutemen. We have two guests on the seven, both both Cube veterans. So we have Varun Cabra. He is the VP product Marketing Cloud Delhi Emcee and Moeneeb unit. Minute Soudan VP Solutions Product marketing at VM. Where. Thank you so much for coming on the show. >> Thanks for having >> thanks for having us. So we just had the keynote address we heard from Michael Dell Satya Nadella Pack Girl Singer It's a real who's who of this of this ecosystem. Break it down for us. What? What did we hear? What is what is sort of the most exciting thing from your perspective? >> So, Rebecca, what? What we hear from customers again and again is it's a multi cloud world, right? Everybody has multiple cloud deployments, but we saw that mentioned five on average cloud architectures in customer environments and what we keep hearing from them is they There are operational silos that developed as part of the to set the fellas that are different. The machine formats. All of these things just lied a lot of lead to a lot of operational silos in complexity, and the customers are overwhelming or willingly asking William C. As well as being Where is that? How do we reduce this complexity? How do we we'll be able to move, were close together? How do we manage all of this in a common framework and reduce some of the complexity? So there's really they could take advantage off the promise of Monte Club. >> Yeah, so many. The Cube goes to all the big industry shows. I feel like everywhere I go used to be, you know, it's like intel and in video, up on stage for the next generation. Well, for the last year, it felt like, you know, patent Sanjay, or, you know, somebody like that, you know, up on stage with Google Cloud of a couple of years ago, there was Sanjay up on St Come here. They're searching Adela up on stage. So let's talk about that public cloud piece China. We know you know the relationship with a wsbn were clad in a ws sent ripples through the industry on you know, the guru cloud piece. So tell us what's new and different peace when it comes to come up to public clouded. How does that fit with in relation to all the other clouds? >> Sure, no, I'll amplify. You know what Aaron said, Right? We think about customer choice first. Andrea Lee, customer choice. As you know, you got multiple cloud providers. We've seen customers make this choice off. I need to make this, you know, a multi cloud world. Why're they going towards the multi clothing world? It's because applications air going there on really well, where strategy has bean to say, How do we empower customers without choice? Are you know, eight of us partnership is as strong as ever, but we continue to eat away there, and that was their first going to choice a platform. And Patty alluded to this on the stage. We have four thousand cloud provider partners right on the four thousand block provider partners we've built over the years, and that includes, you know, not small names. They include IBM. They, like, you know, they've got in Iraq space. Some of the biggest cloud providers. So our strategy is always being. How do we take our stack and and lighted and as many public laws? It's possible. So we took the first step off IBM. Then you know, about four thousand. You know, other plot providers being Rackspace, Fujitsu, it's Archie. Then came Amazon. I'm is on being the choice of destination for a lot of public clouds. Today we kind of further extend that with Microsoft and, you know, a few weeks ago with Google, right? So there's really about customer choice and customers when they want the hybrid multi Claude fees his abdomen right. You got two worlds, you couldn't existing application and you're looking Just get some scale out of that existing application and you're building a lot of, you know, native cloud native applications. They want this, you know, in multiple places. >> All right, so if I could just drilled down one level deep, you know? So if I'm in as your customer today, my understanding it's Veum or STD. Sea Stack. What does that mean? You know what I use, You know? How is that? You can feel compare? Do I use the Microsoft? You know System Center. Am I using V Center? You know, >> shark now, and this is really again in an abdomen. Calm conversation, right where they were multiple announcements in here just to unpack them there. It's like, Hey, we had the Del Technologies Cloud platform. The Del Technologies clock platform is powered by, you know, Delhi emcee infrastructure and be aware Cloud Foundation on top, where slicing your full computer network storage with the sphere of visa and a sex and management. Right. And the second part was really We've got being where cloud on a deli emcee. The system brings a lot of the workloads which stood in public clouds. We're seeing this repatriation off workloads back on. You know, on the data center are the edge. This is really driven by a lot of customers and who have built native I pee in the public cloud beyond Amazon beat ashore who want to now bring some of those workloads closer to the, you know, data center or the edge. Now this comes to how do I take my azure workloads and bring it closer to the edge or my data center? Why's that? I need you know, we have large customers, you know. You know, large customers multinational. They have, you know, five hundred thousand employees, ninety locations will wide. Who built to I p or when I say I p applications natively in cloud suddenly for five thousand employees and ninety locations, they're going ingress egress. Traffic to the cloud public cloud is huge. How do I bring it closer to my data centers? Right. And this is where taking us your workloads. Bringing them, you know, on prime closer salts. That big problem for them. Now, how do I take that workloads and bring them closer? Is that where we landed in the Veum wear on Del, you know AMC Infrastructure? Because this big sea closer to the data center gives me either Lowell agency data governance and you know, control as well as flexibility to bring these work clothes back on. Right? So the two tangent that you're driving both your cloud growth and back to the edge The second tangent of growth or explosion is cloud native workloads. We're able to bring them closer. Your data center is freely though the value proposition, right? >> Well, we heard so much about that on the main stage this morning about just how differently with modern workforce works in terms of the number of devices that used the different locations they are when they are doing the tasks of their job. >> You talk a little bit about the >> specifics in terms of customers you're working with. You don't need a name names. But just how you are enabling the >> way get feedback from customers in all industries, right? So you don't even share a few as well Way have large banks that are, you know, they're standardized their workloads on VM where today, right as as have many Morgan is ations, and they're looking for the flexibility to be able to move stuff to the cloud or moving back on premises and not have to reformat, not have to change that machine formats and just make it a little easy. They want the flexibility to be able to run applications in their bank branches right in the cloud, right? But then they don't they don't necessarily want adopt a new machine format for a new standardized platform. That's really what Thie azure announcement helps them do, Just like with eight of us, can now move workloads seamlessly to azure USVI center. Use your other you know, tools that you're familiar with today. Already to be ableto provision in your work clothes. All >> right, so for and what? Wonder if we could drill into the stack a little bit here? You know, I went to the Microsoft show last year, and it was like, Oh, WSSD is very different than Azure Stack even if you look at the box and it's very much the same underneath the covers, there was a lot of discussion of the ex rail. We know how fast that's been growing. Can you believe there's two pieces? This there's the VCF on Vieques rail and then, you know, just help. Help explain >> s o for the Del Technologies Cloud Platform announcement, which is, as you said, VX rail in first hcea infrastructure with Mia McLeod foundations tightly integrated, right, so that the storage compute and networking capabilities of off the immortal foundation are all incorporated and taken advantage off it. In the end structure. This is all about making things easier to consume, right, producing the complexity for customers. When they get the X trail, they overwhelmingly tell us they want to use the metal foundations to be able to manage and automate those workloads. So we're packaging this up out of the box. So when customers get it, they have That's cloud experience on premises without the complexity of having to deploy it because it's already integrated, cited the engineering teams have actually worked together. And then you can then, as we mentioned, extend those workloads to public loud, using the same tools, the same, the MSR foundation tools. >> And, you know, uh, we built on Cloud Foundation for a while, and I'm sure you followed us on the Cloud Foundation. And that has bean when you know yes, we talk about consistent infrastructure, consistent operations, this hybrid cloud world and what we really mean. Is that really where? Cloud foundation stack, right? So when we talk about the emcee on eight of us, is that Cloud foundation stack running inside of Amazon? When we talk about you know, our partnership with the shore, he's not being where Cloud Foundation stack running on a shore. We talk about this four thousand partners. Cloud certified IBM. It is the Cloud Foundation stack and the key components being pulled. Stack the Sphere v. Santana Sex and there's a critical part in Cloud Foundation called lifecycle management. It's, you know, it's missed quite easily, right? The benefit of running a public cloud. The key through the attributes you get is you know, you get everything as a service, you get all your infrastructure of software. And the third part is you don't spend any time maintaining the interoperability between you compete network storage. And that is a huge deal for customers. They spent a lot of time just maintaining this interrupt and, you know, view Marie Claude Foundation has this life cycle manager which solves that problem. Not not just Kee. >> Thank you for bringing it up because, right, one of the big differences you talk about Public Cloud, go talk to your customer and say, Hey, what version of Microsoft Azure are you running and the laughter you and say like, Well, Microsoft takes care of that. Well, when I differentiate and I say Okay, well, I want to run the the same stack in my environment. How do I keep that up today? We know the VM where you know customers like there's lots of incentives to get them there, but oftentimes they're n minus one two or something like that. So how do we manage and make sure that it's more cloud like enough today? >> Yeah, absolutely. So. So there's two ways to do that to one of them is because the V m. A and L E M C team during working on engineering closely together, we're going to have the latest word in supported right right out the gate. So you have an update, you know that it's gonna work on your your hardware or vice versa. So that's one level and then with via MacLeod and L E M C. We're also providing the ability to basically have hands off management and have that infrastructure running your data center or your eyes locations, but at the same time not have to manage it. You leave that management to tell technologies into somewhere. To be able to manage that solution for you is really, as Moody said, bringing that public loud experience to your own premise. Locations is long, >> and I think that's one of the big, different trainers that's going to come right. People want to get that consumption model, and they're trying to say, Hey, how do I build my own data center, maintain it, but the same time I want to rely on, you know, dull and beyond Where to come and help us build it together. Right? And the second part of announcement was really heavy and wear dull on the d l E M C. Is that Manager's offered the demo you saw from June. Yang was being able to have a consumption interface where you could connect click of a button, roll it back into a data center as well. It's an edge because you have real Italy. Very little skill sets where night in the edge environment and as EJ Compute needs become more prolific with five g i ot devices, you need that same kind of data governance model and data center model. There is well and not really the beauty off, you know, coming to be aware. And Delta, you know Del DMC del. Technology's power is to maintain that everywhere, right? I >> won't ask you about >> innovation. One of the things that's really striking during American executive, Even though I obviously have my own customers, >> I think it really comes down to listening to customers. Write as as Del Technologies is Liam, where we have the advantage of working with so many customers, hundreds of thousand customers around the world we get to hear and listen and understand what are the cutting edge things that customers are looking for? And then we can not take that back to customers like Bank of America who may have taught about certain scenarios right that we will learn from. But they may not have thought about other industries where things could be applicable to their street, so that drives a lot of our innovation. Very. We are very proud about the fact that we're customer focused. Our invasion is really driven by listening to customers on. And, you know, having smart people just work on this one to work on this problems. And, >> you know, customer wise is a big deal customer choice. That's why we're doing what we're doing with multiple cloud providers, right? And I think this is really a key, too. If you just look at being where's innovation were already talking about this multi claude world where it was like, Hey, you've got workloads natively. So we How do you manage? Those were already ahead and thinking about, you know come in eighties with acquisition of Hip Tio and you if you think about it, you know, we've done this innovation in the cloud space established this hybrid credibility on we've launched with Del Technology. Now we're already ahead in this multi cloud operational model. We're already ahead in this coop in eighties. Evolution will bring it back with the family and listen to the customers for choice. Because of the end of the day, we're here to South customer problems. I >> think that's another dimension of choice that we offer, which is both traditional applications as well as applications of the future that will increasingly, because container based, >> yeah, I just wonder if you could spend on a little bit. You know what? One of the things I said via Moore is great. It really simplified and by environment, I go back. Fifteen years ago, one of things that did is let me take my old application that was probably long in the tooth. Begin with my heart was out of date, my operating system at eight, sticking in of'em and leave it for another five years, and the users that are like, Oh my gosh, I'd need an update. How do we get beyond that and allow this joint solution to be an accelerant for applications? >> Yeah, and I think you know the application is probably the crux of the business, right? >> We'Ll call in the tent from >> change applications of Evolve. This is actually the evolution journey of itself is where they used to be, like support systems. Now they become actually translate to business dollars because, you know, the first thing that your customer awful customer touches is an application and you can drive business value from it. And customers are thinking about this old applications and new applications. And they have to start thinking about where do I take my applications? Where do they need to line and then make a choice off? What infrastructures? The best black mom for it. So really can't flip the thing on. Don't think infrastructure first and then retrospect APS to it. I think at first and then make a charge on infrastructure based on the application need and and really look like you said being where kind of took the abstraction layer away from infrastructure and make sure that you'll be EMS could run everywhere. We're taking the same for applications to say. Doesn't matter if it's of'Em based. It's a cloud native will give you the same, you know, inconsistent infrastructure in operations. >> Okay, we're in that last thing. Could you just tell us of the announcements that were made? What's available today? What's coming later this year? >> Absolutely So Del Technologies Cloud Platform that's based on the X Trail and via MacLeod Foundation is available now as an integrated solution via MacLeod and Daddy and see the fully managed offer is available in >> the second half of this >> year. It's invader right now. And as you saw, we have really good feedback >> from our customers. And then I think >> the, uh, the Azure BMR Solutions offer will be available soon as well. >> All right, well, Varun and many Congratulations on the progress. We look forward to talking to the customers as they roll this out, and Rebecca and I will be back with lots more coverage here. Del Technologies World twenty nineteen. Little coverage to sets three days, tenth year, The Cube at M. C and L World. I'm still many men. And thanks so much for watching
SUMMARY :
Brought to you by Del Technologies Thank you so much for coming on the show. So we just had the keynote address we heard from Michael Dell Satya Nadella Pack Girl Singer are operational silos that developed as part of the to set the fellas Well, for the last year, it felt like, you know, patent Sanjay, or, you know, and that includes, you know, not small names. All right, so if I could just drilled down one level deep, you know? closer to the, you know, data center or the edge. Well, we heard so much about that on the main stage this morning about just how differently with But just how you are enabling the banks that are, you know, they're standardized their workloads on VM where today, right as as have many This there's the VCF on Vieques rail and then, you know, just help. s o for the Del Technologies Cloud Platform announcement, which is, as you said, VX rail in first hcea When we talk about you know, our partnership with the shore, he's not being where Cloud Foundation stack running We know the VM where you So you have an update, you know that it's gonna work on your your hardware or vice versa. really the beauty off, you know, coming to be aware. One of the things that's really striking during American executive, And, you know, having smart people just So we How do you manage? yeah, I just wonder if you could spend on a little bit. you know, the first thing that your customer awful customer touches is an application and you can drive Could you just tell us of the announcements that were made? And as you saw, we have really good feedback And then I think the, uh, the Azure BMR Solutions offer will be available soon We look forward to talking to the customers as they
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What's Next for Converged Infrastructure
[Music] [Applause] [Music] [Applause] [Music] hi I'm Stu minimun with wiki bond and welcome to another wiki bond the cube digital community event this one sponsored by Dell EMC of course it's a big week in the industry VMware is having their big European show in Barcelona VMworld and while we are not there in person we have some news that we want to dig into with Dell EMC so like all of our digital community events we're gonna have about 25 minutes of video and then afterwards we're going to have a crowd chat we're gonna have a panel where you have the opportunity to dig in ask your questions give us your viewpoint and talk about everything that's going on so it's important to pay attention think about what questions participate in the crowd chat afterward and thanks so much for joining us talk about the business issues of the day to help us frame this discussion I'm happy to welcome back to the program Pete manka who's the senior vice president with converged infrastructure and solutions engineering at Dell MC Pete great to see you great see you Tuesday all right so Pete converged infrastructures come a long way you and I have a lot of history in this space you know more than a decade now we've been in here so but from a customer standpoint you know this has matured a lot I wouldn't want you to start out give us the customer perspective you know what was convergent restrictor designed to do how is it living up to that and you know what's the state of it today sure well as you said we've got a long history in this and ten years ago we started this business to really simplify IT operations for our customers and we tried to remove the silos between storage compute and networking management and we're doing that we created this market called converged infrastructure by converging the management of those three siloed operations in doing so we added a tremendous amount of value for our customers fast forward now over the years earlier this year we come up with a product that the BX block 1000 that allows us to scale considerably greater within a single environment adding more value to our customer we're very customer driven at Dell EMC as you know and so we talked to our customers again and said what else do you want what else do you want and they pushed us for more automation in more monitoring support for the product and that's really what we're here to talk about today is how we get from simplifying IT operations for customers through allowing scale architectures to eventually automating the customers environment for them yeah when you talk about simplification that the the industry has really been really galvanized gotten really excited at hyper-converged infrastructure and I hear simple that's kind of what HCI is gonna do Dell of course has both converged and hyper-converged we've talked a lot as to how they both fit maybe now you know give give us the update as to you know the relevance of CI today while HCI is still continuing to grow really that sure yeah HDI is a hot market obviously and it is growing fast and customers should be excited about HDI because it's a great solution right it enables the customers get an application up and running very quickly and it's great for scale out architectures you want to add symmetric type nodes and skill oh you're at your application your architecture it's great for that but like all architectures it doesn't fit all solutions or all problems for the customers and there's a place for CI and there's a place for HCI the end you think about HCI versus CI CI is great for asymmetrically scaling architectures you want to have more storage more networking more memory inside your servers more compute you can do that through a CI portfolio and for customers who need that asymmetrical scaling for customers who need high availability very efficient scale type storage environments scale of compute environments you can do that through a CI platform much more efficiently than you can through other platforms in the market alright Pete you mentioned that there was announcement earlier in the year that the VX block 1000 so for those that don't have hauled of history like us that followed from the V block of the BX block and now the 1000 helped remind us what was different about this from things in the past sure when we first started out in the conversion structure business we had blocks that were specific to storage configurations if you wanted a unity or v-max you had to buy a specific model of our of our VX block product line that's great but we realize customers and customers told us they wanted a mix environment they wanted to have a multi-use environment in their block so we created the VX block 1000 announced in February and it allows you to mix and match your storage sand bar along with your compute environment and scales out at a much greater capacity than we could through the original block design so and we're providing the customer a much larger footprint managed by within a single block but also a choice allowing them to have multiple application configurations within the same block all right so people now what what's Del DMC doing to bring converged infrastructure for it even more how are we expanding you know what it's gonna do for customers and the problems they're looking to solve yeah right so again we went back to our customers that said ok tell us your experience with block you tell us what you like tell us what you don't like and they love the product it's been a very successful product they said we want more automation we want more monitoring you want the ability to see what's happening as well as automate workflows and procedures that we have to do to get our workloads up and running quicker and more automated fashion so what we're gonna talk about today is how we're going to do that we're going to provide more automation capabilities and the ability to monitor through our VM work you realize suite toolset alright great Pete I appreciate you helping kind of lay the groundwork we're gonna be back in a quick second one of your peers from Dell MC to dig into the product so stay with us we'll be back right after this this quick break [Music] vx block system 1000 simplifies IT accelerates the pace of innovation and reduces operating costs storage compute networking and virtualization components are all unified in a single system transforming operations and delivering better business outcomes faster this is achieved by five foundational pillars that set Dell EMC apart as the leading data center solutions provider each VX blocks system 1000 is engineered manufactured managed sustained and supported as one welcome back joining me to dig into this announcement is Dan Mita who's the vice president of converged infrastructure engineering at Dell EMC damn thanks for joining us thanks for having me all right so Pete kind of teased out of what we're doing here talked about what we've been building on for the last ten years in the converging infrastructure industry please elaborate you know what this is and shuttle from there yeah absolutely so to your point we know customers have been buying VX blocks and V blocks for the last ten years and there's lots of good reasons behind all of that we also know that customers been asking us for better monitoring better reporting and more orchestration capabilities we this announcement we think we're meeting those challenges so there's three things that I'd like to talk about one is we're gonna help customers raise the bar around awareness of what's going on within the environment we'll do that through health checks and dashboards performance dashboarding real-time alerting for the first time the second thing we'll talk about is we talked about a different level of automation than we've ever had before when it comes to orchestration we'll be introducing the ability to set up the services necessary to run orchestrated workflows and then our intention is to bring to market those engineered workflows and lastly would be you know analytics deeper analytics for customers that want to go even further into why their system is drifted from a known good state we're gonna give them the capabilities to see that great so Dan I think back from the earliest days that you know Vblock was always architected to you know transform the way operations are done what really differentiates this you know how important is there are things like the analytics of you're doing yeah sure so you're right today our customers use element managers to do most of that what this tool will allow them to do is kind of abstract a lot of the complexity folk in the element managers themselves if you think about an example where our customer wants to provision an ESXi host add it to a cluster and you say a Power Max bulan we know there's about a dozen manual steps to do that it cuts across four element managers and that also means you're going to be touching your administrators across compute network storage and virtualization with this single tool that will guide you first by checking the environment taking you through an orderly set of questions or inputs and then lastly validating the environment we know that we're going to help customers eliminate any undue harm that might do to an environment but we're also gonna save them time effort and money by getting it done quicker ok so Dan it sounds like there's a new suite of software explain it exactly what is it and how do all these pieces fit together yeah so there's three pieces in this week foundational is what we call the X blocks central so the X Box central is going to go out mandatory with all new VX blocks we're also going to make it available to our customers running older 300 500 and 700 family the X blocks and we'll provide a migration path for customers that are using vision today that's the tool that's going to allow them to do that performance health and RCM compliance dashboarding as well as do metrics based in real-time alerting one loved one step up from that one layer up from that is what we call the X block orchestration so this this product is being built underneath the V realize operations or excuse me orchestration tool and it's essentially like I said it's going to provide those all of those tools for setting up the services to run the workflows and then we'll provide those workflows so that example that I gave just a minute ago about provisioning that host will have a workflow from that right out of the gate ok so you mentioned the the vir ops thing you know VMware has always been a you know a very important piece of the whole stack there's yeah be in front of everything in the product line while you're announcing it this week at you know vmworld your and you know explain a little bit more that integration between the VMware pieces so you mentioned V Rob's and that's the third piece in this suite right so that is that it's going to provide us the dashboarding to provide all of that detailed analytics so if you think about it we're using V realized opera orchestra ssin as a workflow engine we're using V ROPS for that intelligent insight into the operations as a framework for the things that we're doing but essentially what we've given customers at this point is a framework for a cloud management or a cloud operations model sitting on top of a converged infrastructure alright Dan thanks for explaining all that now we're gonna throw it over to a customer to really hear what they think of this announcement when we started to talk about the needs to innovate within business technology and move forward with the business we knew we had to advance our technology offerings standardize our data center and help bring all our technology to current date vs block allowed us to do that in one purchase and also allowed us to basically bring our entire data center ten years forward with one step the benefits we've seen from the X block from my side of the house I now have that sleep at night capability because I have full high availability I have industry-leading technology the performance is there their applications are now more available we now have a platform where we can modernize our entire system we can add blades we can add storage we can add networking as we need it out of the box all knowing that it's been engineered and architected to work together it has literally set it and forget it for us we go about our daily business and now we've transitioned from a maintenance time set and a maintenance mindset to now we can participate in meetings to help drive business innovation help drive digital transformation within our company and really be that true IT strategic partner the business is looking for with the implementation of VX blocks central upcoming we should be able to get a better idea of what's going on in our VX block through one dashboard we're very sensitive about the number of dashboards we try to view do the whole death bi dashboard situation especially for a small team we really believe yes block central is going to be beneficial for us to have a quick health overview of our entire unit encompassing all components as we discussed additional features coming out for the VX block one of the more interesting ones for me was to see the integration of VMware's be realized product into the VX block most importantly focused around orchestration and analytics that's something that we don't do a lot of right now but as our company continues to grow and we continue to expand our VX block into additional offerings I can see that being beneficial especially for our small team being able to you know or orchestrate and automate kind of daily tasks that we do now may benefit our team in the future and then the analytics piece as we continue to be a almost a service provider for our business partners having that analytic information available to us could be very beneficial from a from a cost revenue standpoint for us to show kind of the return on investment for our company one of the things that we kind of look forward to that the opportunities of VX block is going to give us given the feature set that's coming out is the ability to use automation for some of our daily business tasks that maybe is something as simple as moving a virtual machine from one host to another that seems pretty mundane at this point but as our company grows and workloads get more complex having the automation availability to be able to do that and have VMware do that on its own it's going to benefit our team always love hearing from customers I'm Peter Burris here in our Palo Alto studios let's also hear from a very important partner in this overall announcement that's VMware we've got OJ Singh who's a senior vice president and general manager the cloud management business unit at VMware with us AJ welcome to the cube thank you Peter of that to be here so Archie we've been hearing a lot of great new technology about you know converged infrastructure and how you do better automation and how you do better you know discovery and whatnot associated with it but these technologies been for around for a while and VMware has been a crucial partner of this journey for quite some time give us a little bit about the history absolutely you know this is a as you rightly pointed a long history with a VMware and Dell EMC goes back over a decade ago I started with Vblock in those days and we literally defined the converged infrastructure market at that point and and this partnership has continued to evolve and so this announcement we are really excited to be here you know to continue to announce our joint solutions to our common customers you know in this whole VX blocks 1000 along with the vitalife suite well the VX block Hardware foundation with VMware software foundation was one of the first places where customers actually started building what we now call private clouds tell us a little bit about how that technology came together and how that vision came together and how your customers have been responding to this combinations partnership for a while absolutely if you think about it from a customer standpoint they love the fact that it is a pre engineered solution and you know they have to put less effort and doing the lifecycle management maintenance of the solution so as part of kind of making it a pre engineered solution what we've done is you know made it such that the integrations between the VX block and visualize are out of the box so we put some critical components you know are of course the vSphere and NSX in there but in addition to that for the virial I set we have vro Orchestrator already built in there we have a special management pack that gets into detail dashboards that are related to the hardware associated with the X block also pre integrated in there so that if via ops runs in there it'll automatically kind of figure that as a dashboard out and can configure them and then finally we have VRA or you know an industry-leading automation platform that allows you self-service and literally build a private cloud on top of the X block so the VX central software has been letting or is now allows a customer to make better use of VMware yes similarly some of the new advancements that you're making within VMware are going to help VX bar customers get more out of their devices as well tell us a little bit about some of the recent announcements you've made that are very complimentary absolutely you know to some extent you know the V realized journey has been a journey about at the end of the day in enabling our customers to set up a self-managed private cloud and do large extent we're heading in the direction of what we say self-driving operations using machine learning technologies and all of that so in that kind of direction in that vision if you may we've actually now released with a great integration between VRA and via ops that for the first time closes the loop between the two solutions so that you can start to do intelligent workload placement right depending upon if I'm trying to optimize for cost I'm trying to optimize for tier of service you know whether it's bronze silver gold tier service I'm trying to optimize for software license management you know Oracle license is only going on Oracle tier etcetera this closed-loop with policy ensures you do that and that's the first step in this direction of self-driving that's a very important direction because customers are gonna try to build more complex systems based on or support more complex applications without at the same time seeing that complexity show up in the administration side now that leaves the last question I have because ultimately the two of you are working to make together to make customers successful so tell us a little bit about how your track record your history and your direction of working together in support in service to customers is going and where you think it's gonna go absolutely so we continue to work very closely in partnership and as partners we are committed to support our customers through thick and thin you know to make sure that they can have these engineered pre-engineered clouds set up so they can get the benefits of these clouds lower cost to serve you know in terms of highly efficient workload the fact as much as possible in the you know let me tell about of hardware that's available and at the same time the automation and the self-service that enables the agility so the development teams can build software quickly I think provision software really fast so those are the kind of benefits lower cost agility but in partnership jointly serving our customers RJ Singh senior vice president general manager of the VMware cloud management business unit thanks again for beyond the cube thank you Peter glad to be here Stu back to you all right thanks Peter for sharing that VMware perspective to help understand a little bit more some of the customer implications we're back with Dan and Pete Pete we talked about there's new management there's a few different software packages is this exclusively for the new generation of VX block 1000 or you know who the existing customers will be able to use this sure I mean obviously advanced management features are important to all of our customers so we specifically designed the Xbox central to run both on existing VX block customers and of course in our new VX blocks that were a lot of the factor as well alright so Dan we've talked about the progress we've made the the you know great maturation in these solutions set what's next what customers expect and what should we be looking for from Dellums in the future so this the thing with us is always data center operations simplification if you think about it what we're introducing today is all about simplifying and provisioning and management of the existing system within the system we've heard also from customers what they look for us next to do is to try to improve the upgrade process simplify that as well so we've already got some development efforts working on that we'll be excited and news for later this year or early next year janna follow-up went dance that we always talked to our customers about what they're looking for in addition to more automation and we're monitoring support they want to go to consume their resources in a more agile environment cloud like a farm and even on-premises so that combined with the be realized suite of products we're going to be providing more cloud live experience to our customers for their yeah walks in the future alright Pete and Dan thank you so much for sharing this news we're gonna now turn it over to the community so you've heard about the announcement we've been talking for quite a long time at wiki bond about how automation and tools are gonna hopefully help make your job easier so want you to dig in ask the questions what do you like what do you want to see more of and so everybody let's growl chat great
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VMworld Day 1 General Session | VMworld 2018
For Las Vegas, it's the cube covering vm world 2018, brought to you by vm ware and its ecosystem partners. Ladies and gentlemen, Vm ware would like to thank it's global diamond sponsors and it's platinum sponsors for vm world 2018 with over 125,000 members globally. The vm ware User Group connects via vmware customers, partners and employees to vm ware, information resources, knowledge sharing, and networking. To learn more, visit the [inaudible] booth in the solutions exchange or the hemoglobin gene vm village become a part of the community today. This presentation includes forward looking statements that are subject to risks and uncertainties. Actual results may differ materially as a result of various risk factors including those described in the 10 k's 10 q's and k's vm ware. Files with the SEC. Ladies and Gentlemen, please welcome Pat Gelsinger. Welcome to vm world. Good morning. Let's try that again. Good morning and I'll just say it is great to be here with you today. I'm excited about the sixth year of being CEO. When it was on this stage six years ago were Paul Maritz handed me the clicker and that's the last he was seen. We have 20,000 plus here on site in Vegas and uh, you know, on behalf of everyone at Vm ware, you know, we're just thrilled that you would be with us and it's a joy and a thrill to be able to lead such a community. We have a lot to share with you today and we really think about it as a community. You know, it's my 23,000 plus employees, the souls that I'm responsible for, but it's our partners, the thousands and we kicked off our partner day yesterday, but most importantly, the vm ware community is centered on you. You know, we're very aware of this event would be nothing without you and our community and the role that we play at vm wares to build these cool breakthrough innovations that enable you to do incredible things. You're the ones who take our stuff and do amazing things. You altogether. We have truly changed the world over the last two decades and it is two decades. You know, it's our anniversary in 1998, the five people that started a vm ware, right. You know, it was, it was exactly 20 years ago and we're just thrilled and I was thinking about this over the weekend and it struck me, you know, anniversary, that's like old people, you know, we're here, we're having our birthday and it's a party, right? We can't have a drink yet, but next year. Yeah. We're 20 years old. Right. We can do that now. And I'll just say the culture of this community is something that truly is amazing and in my 38 years, 38 years in tech, that sort of sounds like I'm getting old or something, but the passion, the loyalty, almost a cult like behavior that we see in this team of people to us is simply thrilling. And you know, we put together a little video to sort of summarize the 20 years and some of that history and some of the unique and quirky aspects of our culture. Let's watch that now. We knew we had something unique and then we demonstrated that what was unique was also some reasons that we love vm ware, you know, like the community out there. So great. The technology I love it. Ware is solid and much needed. Literally. I do love Vmr. It's awesome. Super Awesome. Pardon? There's always someone that wants to listen and learn from us and we've learned so much from them as well. And we reached out to vm ware to help us start building. What's that future world look like? Since we're doing really cutting edge stuff, there's really no better people to call and Bmr has been known for continuous innovation. There's no better way to learn how to do new things in it than being with a company that's at the forefront of technology. What do you think? Don't you love that commitment? Hey Ashley, you know, but in the prep sessions for this, I thought, boy, what can I do to take my commitment to the next level? And uh, so, uh, you know, coming in a couple days early, I went to down the street to bad ass tattoo. So it's time for all of us to take our commitment up level and sometimes what happens in Vegas, you take home. Thank you. Vm Ware has had this unique role in the industry over these 20 years, you know, and for that we've seen just incredible things that have happened over this period of time and it's truly extraordinary what we've accomplished together. And you know, as we think back, you know, what vm ware has uniquely been able to do is I'll say bridge across know and we've seen time and again that we see these areas of innovation emerging and rapidly move forward. But then as they become utilized by our customers, they create this natural tension of what business wants us flexibility to use across these silos of innovation. And from the start of our history, we have collectively had this uncanny ability to bridge across these cycles of innovation. You know, an act one was clearly the server generation. You know, it may seem a little bit, uh, ancient memory now, but you remember you used to walk into your data center and it looked like the loove the museum of it passed right? You know, and you had your old p series and your z series in your sparks and your pas and your x86 cluster and Yo, it had to decide, well, which architecture or am I going to deploy and run this on? And we bridged across and that was the magic of Esx. You don't want to just changed the industry when that occurred. And I sort of called the early days of Esx and vsphere. It was like the intelligence test. If you weren't using it, you fail because Yup. Servers, 10 servers become one months, become minutes. I still have people today who come up to me and they reflect on their first experience of vsphere or be motion and it was like a holy moment in their life and in their careers. Amazing and act to the Byo d, You know, can we bridge across these devices and users wanted to be able to come in and say, I have my device and I'm productive on it. I don't want to be forced to use the corporate standard. And maybe more than anything was the power of the iphone that was introduced, the two, seven, and suddenly every employee said this is exciting and compelling. I want to use it so I can be more productive when I'm here. Bye. Jody was the rage and again it was a tough challenge and once again vm ware helped to bridge across the surmountable challenge. And clearly our workspace one community today is clearly bridging across these silos and not just about managing devices but truly enabling employee engagement and productivity. Maybe act three was the network and you know, we think about the network, you know, for 30 years we were bound to this physical view of what the network would be an in that network. We are bound to specific protocols. We had to wait months for network upgrades and firewall rules. Once every two weeks we'd upgrade them. If you had a new application that needed a firewall rule, sorry, you know, come back next month we'll put, you know, deep frustration among developers and ceos. Everyone was ready to break the chains. And that's exactly what we did. An NSX and Nice Sierra. The day we acquired it, Cisco stock drops and the industry realizes the networking has changed in a fundamental way. It will never be the same again. Maybe act for was this idea of cloud migration. And if we were here three years ago, it was student body, right to the public cloud. Everything is going there. And I remember I was meeting with a cio of federal cio and he comes up to me and he says, I tried for the last two years to replatform my 200 applications I got to done, you know, and all of a sudden that was this. How do I do cloud migration and the effective and powerful way. Once again, we bridged across, we brought these two worlds together and eliminated this, uh, you know, this gap between private and public cloud. And we'll talk a lot more about that today. You know, maybe our next act is what we'll call the multicloud era. You know, because today in a recent survey by Deloitte said that the average business today is using eight public clouds and expected to become 10 plus public clouds. And you know, as you're managing different tools, different teams, different architectures, those solution, how do you, again bridge across, and this is what we will do in the multicloud era, we will help our community to bridge across and take advantage of these powerful cycles of innovation that are going on, but be able to use them across a consistent infrastructure and operational environment. And we'll have a lot more to talk about on this topic today. You know, and maybe the last item to bridge across maybe the most important, you know, people who are profit. You know, too often we think about this as an either or question. And as a business leader, I'm are worried about the people or the And Milton Friedman probably set us up for this issue decades ago when he said, planet, right? the sole purpose of a business is to make profits. You want to create a multi-decade dilemma, right? For business leaders, could I have both people and profits? Could I do well and do good? And particularly for technology, I think we don't have a choice to think about these separately. We are permeating every aspect of business. And Society, we have the responsibility to do both and have all the things that vm ware has accomplished. I think this might be the one that I'm most proud of over, you know, w we have demonstrated by vsphere and the hypervisor alone that we have saved over 540 million tons of co two emissions. That is what you have done. Can you believe that? Five hundred 40 million tons is enough to have 68 percent of all households for a year. Wow. Thank you for what you have done. Thank you. Or another translation of that. Is that safe enough to drive a trillion miles and the average car or you could go to and from Jupiter just in case that was in your itinerary a thousand times. Right? He was just incredible. What we have done and as a result of that, and I'll say we were thrilled to accept this recognition on behalf of you and what you have done. You know, vm were recognized as number 17 in the fortune. Change the world list last week. And we really view it as accepting this honor on behalf of what you have done with our products and technology tech as a force for good. We believe that fundamentally that is our opportunity, if not our obligation, you know, fundamentally tech is neutral, you know, we together must shape it for good. You know, the printing press by Gutenberg in 1440, right? It was used to create mass education and learning materials also can be used for extremist propaganda. The technology itself is neutral. Our ecosystem has a critical role to play in shaping technology as a force for good. You know, and as we think about that tomorrow, we'll have a opportunity to have a very special guest and I really encourage you to be here, be on time tomorrow morning on the stage and you know, Sanjay's a session, we'll have Malala, Nobel Peace Prize winner and fourth will be a bit of extra security as you come in and you understand that. And I just encourage you not to be late because we see this tech being a force for good in everything that we do at vm ware. And I hope you'll enjoy, I'm quite looking forward to the session tomorrow. Now as we think about the future. I like to put it in this context, the superpowers of tech know and you know, 38 years in the industry, you know, I am so excited because I think everything that we've done over the last four decades is creating a foundation that allows us to do more and go faster together. We're unlocking game, changing opportunities that have not been available to any people in the history of humanity. And we have these opportunities now and I, and I think about these four cloud, you have unimaginable scale. You'll literally with your Amex card, you can go rent, you know, 10,000 cores for $100 per hour. Or if you have Michael's am ex card, we can rent a million cores for $10,000 an hour. Thanks Michael. But we also know that we're in many ways just getting started and we have tremendous issues to bridge across and compatible clouds, mobile unprecedented scale. Literally, your application can reach half the humans on the planet today. But we also know that five percent, the lowest five percent of humanity or the other half of humanity, they're still in the lower income brackets, less than five percent penetrated. And we know that we have customer examples that are using mobile phones to raise impoverished farmers in Africa, out of poverty just by having a smart phone with proper crop, the information field and whether a guidance that one tool alone lifting them out of poverty. Ai knows, you know, I really love the topic of ai in 1986. I'm the chief architect of the 80 46. Some of you remember what that was. Yeah, I, you know, you're, you're my folk, right? Right. And for those of you who don't, it was a real important chip at the time. And my marketing manager comes running into my office and he says, Pat, pat, we must make the 46 a great ai chip. This is 1986. What happened? Nothing an AI is today, a 30 year overnight success because the algorithms, the data have gotten so much bigger that we can produce results, that we can bring intelligence to everything. And we're seeing dramatic breakthroughs in areas like healthcare, radiology, you know, new drugs, diagnosis tools, and designer treatments. We're just scratching the surface, but ai has so many gaps, yet we don't even in many cases know why it works. Right? And we'll call that explainable ai and edge and Iot. We're connecting the physical and the digital worlds was never before possible. We're bridging technology into every dimension of human progress. And today we're largely hooking up things, right? We have so much to do yet to make them intelligent. Network secured, automated, the patch, bringing world class it to Iot, but it's not just that these are super powers. We really see that each and each one of them is a super power in and have their own right, but they're making each other more powerful as well. Cloud enables mobile conductivity. Mobile creates more data, more data makes the AI better. Ai Enables more edge use cases and more edge requires more cloud to store the data and do the computing right? They're reinforcing each other. And with that, we know that we are speeding up and these superpowers are reshaping every aspect of society from healthcare to education, the transportation, financial institutions. This is how it all comes together. Now, just a simple example, how many of you have ever worn a hardhat? Yeah, Yo. Pretty boring thing. And it has one purpose, right? You know, keep things from smacking me in the here's the modern hardhat. It's a complete heads up display with ar head. Well, vr capabilities that give the worker safety or workers or factory workers or supply people the ability to see through walls to understand what's going on inside of the equipment. I always wondered when I was a kid to have x Ray Vision, you know, some of my thoughts weren't good about why I wanted it, but you know, I wanted to. Well now you can have it, you know, but imagine in this environment, the complex application that sits behind it. You know, you're accessing maybe 50 year old building plants, right? You're accessing HVAC systems, but modern ar and vr capabilities and new containerized displays. You'll think about that application. You know, John Gage famously said the network is the computer pat today says the application is now a network and pretty typically a complicated one, you know, and this is the vm ware vision is to make that kind of environment realizable in every aspect of our business and community and we simply have been on this journey, any device, any application, any cloud with intrinsic security. And this vision has been consistent for those of you who have been joining us for a number of years. You've seen this picture, but it's been slowly evolving as we've worked in piece by piece to refine and extend this vision, you know, and for it, we're going to walk through and use this as the compass for our discussion today as we walk through our conversation. And you know, we're going to start by a focus on any cloud. And as we think about this cloud topic, you know, we see it as a multicloud world hybrid cloud, public cloud, but increasingly seeing edge and telco becoming clouds in and have their own right. And we're not gonna spend time on it today, but this area of Telco to the is an enormous opportunity for us in our community. You know, data centers and cloud today are over 80 percent virtualized. The Telco network is less than 10 percent virtualized. Wow. An industry that's almost as big as our industry entirely unvirtualized, although the technologies we've created here can be applied over here and Telco and we have an enormous buildout coming with five g and environments emerging. What an opportunity for us, a virgin market right next to us and we're getting some early mega winds in this area using the technologies that you have helped us cure rate than the So we're quite excited about this topic area as well. market. So let's look at this full view of the multicloud. Any cloud journey. And we see that businesses are on a multicloud journey, you know, and today we see this fundamentally in these two paths, a hybrid cloud and a public cloud. And these paths are complimentary and coexisting, but today, each is being driven by unique requirements and unique teams. Largely the hybrid cloud is being driven by it. And operations, the public cloud being driven more by developers and line of business requirements and as some multicloud environment. So how do we deliver upon that and for that, let's start by digging in on the hybrid cloud aspect of this and as we think about the hybrid cloud, we've been talking about this subject for a number of years and I want to give a very specific and crisp definition. You're the hybrid cloud is the public cloud and the private cloud cooperating with consistent infrastructure and consistent operations simply put seamless path to and from the cloud that my workloads don't care if it's here or there. I'm able to run them in a agile, scalable, flexible, efficient manner across those two environments, whether it's my data center or someone else's, I can bring them together to make that work is the magic of the Vm ware Cloud Foundation. The vm ware Cloud Foundation brings together computer vsphere and the core of why we are here, but combines with that networking storage delivered through a layer of management and automation. The rule of the cloud is ruthlessly automate everything. We laid out this vision of the software defined data center seven years ago and we've been steadfastly working on this vision and vm ware. Cloud Foundation provides this consistent infrastructure and operations with integrated lifecycle management automation. Patching the m ware cloud foundation is the simplest path to the hybrid cloud and the fastest way to get vm ware cloud foundation is hyperconverged infrastructure, you know, and with this we've combined integrated then validated hardware and as a building block inside of this we have validated hardware, the v Sand ready environments. We have integrated appliances and cloud delivered infrastructure, three ways that we deliver that integrate integrated hyperconverged infrastructure solution. And we have by far the broadest ecosystem of partners to do it. A broad set of the sand ready nodes from essentially everybody in the industry. Secondly, we have integrated appliances, the extract of vxrail that we have co engineered with our partners at Dell technology and today in fact Dell is releasing the power edge servers, a major step in blade servers that again are going to be powering vxrail and vxrack systems and we deliver hyperconverged infrastructure through a broader set of Vm ware cloud partners as well. At the heart of the hyperconverged infrastructure is v San and simply put, you know, be San has been the engine that's just been moving rapidly to take over the entire integration of compute and storage and expand to more and more areas. We have incredible momentum over 15,000 customers for v San Today and for those of you who joined us, we say thank you for what you have done with this product today. Really amazing you with 50 percent of the global 2000 using it know vm ware. V San Vxrail are clearly becoming the standard for how hyperconverge is done in the industry. Our cloud partner programs over 500 cloud partners are using ulv sand in their solution, you know, and finally the largest in Hci software revenue. Simply put the sand is the software defined storage technology of choice for the industry and we're seeing that customers are putting this to work in amazing ways. Vm Ware and Dell technologies believe in tech as a force for good and that it can have a major impact on the quality of life for every human on the planet and particularly for the most underdeveloped parts of the world. Those that live on less than $2 per day. In fact that this moment 5 billion people worldwide do not have access to modern affordable surgery. Mercy ships is working hard to change the global surgery crisis with greater than 400 volunteers. Mercy ships operates the largest NGO hospital ship delivering free medical care to the poorest of the poor in Africa. Let's see from them now. When the ship shows up to port, literally people line up for days to receive state of the art life, sane changing life saving surgeries, tumor site limbs, disease blindness, birth defects, but not only that, the personnel are educating and training the local healthcare providers with new skills and infrastructure so they can care for their own. After the ship has left, mercy ships runs on Vm ware, a dell technology with VX rail, Dell Isilon data protection. We are the it platform for mercy ships. Mercy ships is now building their next generation ship called global mercy, which were more than double. It's lifesaving capacity. It's the largest charity hospital ever. It will go live in 20 slash 20 serving Africa and I personally plan on being there for its launch. It is truly amazing what they are doing with our technology. Thanks. So we see this picture of the hybrid cloud. We've talked about how we do that for the private cloud. So let's look over at the public cloud and let's dig into this a little bit more deeply. You know, we're taking this incredible power of the Vm ware Cloud Foundation and making it available for the leading cloud providers in the world and with that, the partnership that we announced almost two years ago with Amazon and on the stage last year, we announced their first generation of products, no better example of the hybrid cloud. And for that it's my pleasure to bring to stage my friend, my partner, the CEO of aws. Please welcome Andy Jassy. Thank you andy. You know, you honor us with your presence, you know, and it really is a pleasure to be able to come in front of this audience and talk about what our teams have accomplished together over the last, uh, year. Yo, can you give us some perspective on that, Andy and what customers are doing with it? Well, first of all, thanks for having me. I really appreciate it. It's great to be here with all of you. Uh, you know, the offering that we have together customers because it allows them to use the same software they've been using to again, where cloud and aws is very appealing to manage their infrastructure for years to be able to deploy it an aws and we see a lot of customer momentum and a lot of customers using it. You see it in every imaginable vertical business segment in transportation. You see it with stagecoach and media and entertainment. You see it with discovery communications in education, Mit and Caltech and consulting and accenture and cognizant and dxc you see in every imaginable vertical business segment and the number of customers using the offering is doubling every quarter. So people were really excited about it and I think that probably the number one use case we see so far, although there are a lot of them, is customers who are looking to migrate on premises applications to the cloud. And a good example of that is mit. We're there right now in the process of migrating. In fact, they just did migrate 3000 vms from their data centers to Vm ware cloud native us. And this would have taken years before to do in the past, but they did it in just three months. It was really spectacular and they're just a fun company to work with and the team there. But we're also seeing other use cases as well. And you're probably the second most common example is we'll say on demand capabilities for things like disaster recovery. We have great examples of customers you that one in particular, his brakes, right? Urban in those. The brings security trucks and they all armored trucks coming by and they had a critical need to retire a secondary data center that they were using, you know, for Dr. so we quickly built to Dr Protection Environment for $600. Bdms know they migrated their mission critical workloads and Wallah stable and consistent Dr and now they're eliminating that site and looking for other migrations as well. The rate of 10 to 15 percent. It was just a great deal. One of the things I believe Andy, he'll customers should never spend capital, uh, Dr ever again with this kind of capability in place. That is just that game changing, you know, and you know, obviously we've been working on expanding our reach, you know, we promised to make the service available a year ago with the global footprint of Amazon and now we've delivered on that promise and in fact today or yesterday if you're an ozzie right down under, we announced in Sydney, uh, as well. And uh, now we're in US Europe and in APJ. Yeah. It's really, I mean it's very exciting. Of course Australia is one of the most virtualized places in the world and, and it's pretty remarkable how fast European customers have started using the offering to and just the quarter that's been out there and probably have the many requests customers has had. And you've had a, probably the number one request has been that we make the offering available in all the regions. The aws has regions and I can tell you by the end of 2019 will largely be there including with golf clubs and golf clap. You guys have been, that's been huge for you guys. Yeah. It's a government only region that we have that a lot of federal government workloads live in and we are pretty close together having the offering a fedramp authority to operate, which is a big deal on a game changer for governments because then there'll be able to use the familiar tools they use and vm ware not just to run their workloads on premises but also in the cloud as well with the data privacy requirements, security requirements they need. So it's a real game changer for government too. Yeah. And this you can see by the picture here basically before the end of next year, everywhere that you are and have an availability zone. We're going to be there running on data. Yup. Yeah. Let's get with it. Okay. We're a team go faster. Okay. You'll and you know, it's not just making it available, but this pace of innovation and you know, you guys have really taught us a few things in this respect and since we went live in the Oregon region, you know, we've been on a quarterly cadence of major releases and two was really about mission critical at scale and we added our second region. We added our hybrid cloud extension with m three. We moved the global rollout and we launched in Europe with m four. We really add a lot of these mission critical governance aspects started to attack all of the industry certifications and today we're announcing and five right. And uh, you know, with that, uh, I think we have this little cool thing you know, two of the most important priorities for that we're doing with ebs and storage. Yeah, we'll take, customers, our cost and performance. And so we have a couple of things to talk about today that we're bringing to you that I think hit both of those on a storage side. We've combined the elasticity of Amazon Elastic Block store or ebs with ware is Va v San and we've provided now a storage option that you'll be able to use that as much. It's very high capacity and much more cost effective and you'll start to see this initially on the Vm ware cloud. Native us are five instances which are compute instances, their memory optimized and so this will change the cost equation. You'll be able to use ebs by default and it'll be much more cost effective for storage or memory intensive workloads. Um, it's something that you guys have asked for. It's been very frequently requested it, it hits preview today. And then the other thing is that we've worked really hard together to integrate vm ware's Nsx along with aws direct neck to have a private even higher performance conductivity between on premises and the cloud. So very, very exciting new capabilities to show deep integration between the companies. Yeah. You know, in that aspect of the deep integration. So it's really been the thing that we committed to, you know, we have large engineering teams that are working literally every day. Right on bringing together and how do we fuse these platforms together at a deep and intimate way so that we can deliver new services just like elastic drs and the c and ebs really powerful, uh, capabilities and that pace of innovation continue. So next maybe. Um, maybe six. I don't know. We'll see. All right. You know, but we're continuing this toward pace of innovation, you know, completing all of the capabilities of Nsx. You'll full integration for all of the direct connect to capabilities. Really expanding that. You're only improving licensed capabilities on the platform. We'll be adding pks on top of for expanded developer a capabilities. So just. Oh, thank you. I, I think that was formerly known as Right, and y'all were continuing this pace of storage Chad. So anyway. innovation going forward, but I think we also have a few other things to talk about today. Andy. Yeah, I think we have some news that hopefully people here will be pretty excited about. We know we have a pretty big database business and aws and it's. It's both on the relational and on the nonrelational side and the business is billions of dollars in revenue for us and on the relational side. We have a service called Amazon relational database service or Amazon rds that we have hundreds of thousands of customers using because it makes it much easier for them to set up, operate and scale their databases and so many companies now are operating in hybrid mode and will be for a while and a lot of those customers have asked us, can you give us the ease of manageability of those databases but on premises. And so we talked about it and we thought about and we work with our partners at Vm ware and I'm excited to announce today, right now Amazon rds on Vm ware and so that will bring all the capabilities of Amazon rds to vm ware's customers for their on premises environments. And so what you'll be able to do is you'll be able to provision databases. You'll be able to scale the compute or the memory or the storage for those database instances. You'll be able to patch the operating system or database engines. You'll be able to create, read replicas to scale your database reads and you can deploy this rep because either on premises or an aws, you'll be able to deploy and high high availability configuration by replicating the data to different vm ware clusters. You'll be able to create online backups that either live on premises or an aws and then you'll be able to take all those databases and if you eventually want to move them to aws, you'll be able to do so rather easily. You have a pretty smooth path. This is going to be available in a few months. It will be available on Oracle sql server, sql postgresql and Maria DB. I think it's very exciting for our customers and I think it's also a good example of where we're continuing to deepen the partnership and listen to what customers want and then innovate on their behalf. Absolutely. Thank you andy. It is thrilling to see this and as we said, when we began the partnership, it was a deep integration of our offerings and our go to market, but also building this bi-directional hybrid highway to give customers the capabilities where they wanted cloud on premise, on premise to the cloud. It really is a unique partnership that we've built, the momentum we're feeling to our customer base and the cool innovations that we're doing. Andy, thank you so much for you Jordan Young, rural 20th. You guys appreciate it. Yeah, we really have just seen incredible momentum and as you might have heard from our earnings call that we just finished this. We finished the last quarter. We just really saw customer momentum here. Accelerating. Really exciting to see how customers are starting to really do the hybrid cloud at scale and with this we're just seeing that this vm ware cloud foundation available on Amazon available on premise. Very powerful, but it's not just the partnership with Amazon. We are thrilled to see the momentum of our Vm ware cloud provider program and this idea of the vm ware cloud providers has continued to gain momentum in the industry and go over five years. Right. This program has now accumulated more than 4,200 cloud partners in over 120 countries around the globe. It gives you choice, your local provider specialty offerings, some of your local trusted partners that you would have in giving you the greatest flexibility to choose from and cloud providers that meet your unique business requirements. And we launched last year a program called Vm ware cloud verified and this was saying you're the most complete embodiment of the Vm ware Cloud Foundation offering by our cloud partners in this program and this logo you know, allows you to that this provider has achieved the highest standard for cloud infrastructure and that you can scale and deliver your hybrid cloud and partnering with them. It know a particular. We've been thrilled to see the momentum that we've had with IBM as a huge partner and our business with them has grown extraordinarily rapidly and triple digits, but not just the customer count, which is now over 1700, but also in the depth of customers moving large portions of the workload. And as you see by the picture, we're very proud of the scope of our partnerships in a global basis. The highest standard of hybrid cloud for you, the Vm ware cloud verified partners. Now when we come back to this picture, you know we, you know, we're, we're growing in our definition of what the hybrid cloud means and through Vm Ware Cloud Foundation, we've been able to unify the private and the public cloud together as never before, but we're also seeing that many of you are interested in how do I extend that infrastructure further and farther and will simply call that the edge right? And how do we move data closer to where? How do we move data center resources and capacity closer to where the data's being generated at the operations need to be performed? Simply the edge and we'll dig into that a little bit more, but as we do that, what are the things that we offer today with what we just talked about with Amazon and our VCP p partners is that they can consume as a service this full vm ware Cloud Foundation, but today we're only offering that in the public cloud until project dimension of project dimension allows us to extend delivered as a service, private, public, and to the edge. Today we're announcing the tech preview, a project dimension Vm ware cloud foundation in a hyperconverged appliance. We're partnered deeply with Dell EMC, Lenovo for the first partners to bring this to the marketplace, built on that same proven infrastructure, a hybrid cloud control plane, so literally just like we're managing the Vm ware cloud today, we're able to do that for your on premise. You're small or remote office or your edge infrastructure through that exact same as a service management and control plane, a complete vm ware operated end to end environment. This is project dimension. Taking the vcf stack, the full vm ware cloud foundation stack, making an available in the cloud to the edge and on premise as well, a powerful solution operated by BM ware. This project dimension and project dimension allows us to have a fundamental building block in our approach to making customers even more agile, flexible, scalable, and a key component of our strategy as well. So let's click into that edge a little bit more and we think about the edge in the following layers, the compute edge, how do we get the data and operations and applications closer to where they need to be. If you remember last year I talked about this pendulum swinging of centralization and decentralization edge is a decentralization force. We're also excited that we're moving the edge of the devices as well and we're doing that in two ways. One with workspace, one for human optimized devices and the second is project pulse or Vm ware pulse. And today we're announcing pulse two point zero where you can consume it now as a service as well as with integrated security. And we've now scaled pulse to support 500 million devices. Isn't that incredible, right? I mean this is getting a scale. Billions and billions and finally networking is a key component. You all that. We're stretching the networking platform, right? And evolving how that edge operates in a more cloud and that's a service white and this is where Nsx St with Velo cloud is such a key component of delivering the edge of network services as well. Taken together the device side, the compute edge and rethinking and evolving the networking layer together is the vm ware edge strategy summary. We see businesses are on this multicloud journey, right? How do we then do that for their private of public coming together, the hybrid cloud, but they're also on a journey for how they work and operate it across the public cloud and the public cloud we have this torrid innovation, you'll want Andy's here, challenges. You know, he's announcing 1500 new services or were extraordinary innovation and you'll same for azure or Google Ibm cloud, but it also creates the same complexity as we said. Businesses are using multiple public clouds and how do I operate them? How do I make them work? You know, how do I keep track of my accounts and users that creates a set of cloud operations problems as well in the complexity of doing that. How do you make it work? Right? And your for that. We'll just see that there's this idea cloud cost compliance, analytics as these common themes that of, you know, keep coming up and we're seeing in our customers that are new role is emerging. The cloud operations role. You're the person who's figuring out how to make these multicloud environments work and keep track of who's using what and which data is landing where today I'm thrilled to tell you that the, um, where is acquiring the leader in this space? Cloudhealth technologies. Thank you. Cloudhealth technologies supports today, Amazon, azure and Google. They have some 3,500 customers, some of the largest and most respected brands in the, as a service industry. And Sasa business today rapidly span expanding feature sets. We will take cloudhealth and we're going to make it a fundamental platform and branded offering from the um, where we will add many of the other vm ware components into this platform, such as our wavefront analytics, our cloud, choreo compliance, and many of the other vm ware products will become part of the cloudhealth suite of services. We will be enabling that through our enterprise channels as well as through our MSP and BCPP partners as well know. Simply put, we will make cloudhealth the cloud operations platform of choice for the industry. I'm thrilled today to have Joe Consella, the CTO and founder. Joe, please stand up. Thank you joe to your team of a couple hundred, you know, mostly in Boston. Welcome to the Vm ware family, the Vm ware community. It is a thrill to have you part of our team. Thank you joe. Thank you. We're also announcing today, and you can think of this, much like we had v realize operations and v realize automation, the compliment to the cloudhealth operations, vm ware, cloud automation, and some of you might've heard of this in the past, this project tango. Well, today we're announcing the initial availability of Vm ware, cloud automation, assemble, manage complex applications, automate their provisioning and cloud services, and manage them through a brokerage the initial availability of cloud automation services, service. Your today, the acquisition of cloudhealth as a platform, the aware of the most complete set of multicloud management tools in the industry, and we're going to do so much more so we've seen this picture of this multicloud journey that our customers are on and you know, we're working hard to say we are going to bridge across these worlds of innovation, the multicloud world. We're doing many other things. You're gonna hear a lot at the show today about this year. We're also giving the tech preview of the Vm ware cloud marketplace for our partners and customers. Also today, Dell technologies is announcing their cloud marketplace to provide a self service, a portfolio of a Dell emc technologies. We're fundamentally in a unique position to accelerate your multicloud journey. So we've built out this any cloud piece, but right in the middle of that any cloud is the network. And when we think about the network, we're just so excited about what we have done and what we're seeing in the industry. So let's click into this a little bit further. We've gotten a lot done over the last five years. Networking. Look at these numbers. 80 million switch ports have been shipped. We are now 10 x larger than number two and software defined networking. We have over 7,500 customers running on Nsx and maybe the stat that I'm most proud of is 82 percent of the fortune 100 has now adopted nsx. You have made nsx these standard and software defined networking. Thank you very much. Thank you. When we think about this journey that we're on, we started. You're saying, Hey, we've got to break the chains inside of the data center as we said. And then Nsx became the software defined networking platform. We started to do it through our cloud provider partners. Ibm made a huge commitment to partner with us and deliver this to their customers. We then said, boy, we're going to make a fundamental to all of our cloud services including aws. We built this bridge called the hybrid cloud extension. We said we're going to build it natively into what we're doing with Telcos, with Azure and Amazon as a service. We acquired the St Wagon, right, and a Velo cloud at the hottest product of Vm ware's portfolio today. The opportunity to fundamentally transform branch and wide area networking and we're extending it to the edge. You're literally, the world has become this complex network. We have seen the world go from the old defined by rigid boundaries, simply put in a distributed world. Hardware cannot possibly work. We're empowering customers to secure their applications and the data regardless of where they sit and when we think of the virtual cloud network, we say it's these three fundamental things, a cloud centric networking fabric with intrinsic security and all of it delivered in software. The world is moving from data centers to centers of data and they need to be connected and Nsx is the way that we will do that. So you'll be aware of is well known for this idea of talking but also showing. So no vm world keynote is okay without great demonstrations of it because you shouldn't believe me only what we can actually show and to do that know I'm going to have our CTL come onstage and CTL y'all. I used to be a cto and the CTO is the certified smart guy. He's also known as the chief talking officer and today he's my demo partner. Please walk, um, Vm ware, cto ray to the stage. Right morning pat. How you doing? Oh, it's great ray, and thanks so much for joining us. Know I promised that we're going to show off some pretty cool stuff here. We've covered a lot already, but are you up to the task? We're going to try and run through a lot of demos. We're going to do it fast and you're going to have to keep me on time to ask an awkward question. Slow me down. Okay. That's my fault if you run along. Okay, I got it. I got it. Let's jump right in here. So I'm a CTO. I get to meet lots of customers that. A few weeks ago I met a cio of a large distribution company and she described her it infrastructure as consisting of a number of data centers troll to us, which he also spoke of a large number of warehouses globally, and each of these had local hyperconverged compute and storage, primarily running surveillance and warehouse management applications, and she pulls me four questions. The first question she asked me, she says, how do I migrate one of these data centers to Vm ware cloud on aws? I want to get out of one of these data centers. Okay. Sounds like something andy and I were just talking exactly, exactly what you just spoke to a few moments ago. She also wanted to simplify the management of the infrastructure in the warehouse as themselves. Okay. He's age and smaller data centers that you've had out there. Her application at the warehouses that needed to run locally, butter developers wanted to develop using cloud infrastructure. Cloud API is a little bit late. The rds we spoken with her in. Her final question was looking to the future, make all this complicated management go away. I want to be able to focus on my application, so that's what my business is about. So give me some new ways of how to automate all of this infrastructure from the edge to the cloud. Sounds pretty clear. Can we do it? Yes we can. So we're going to dive right in right now into one of these demos. And the first demo we're going to look at it is vm ware cloud on aws. This is the best solution for accelerating this public cloud journey. So can we start the demo please? So what you were looking at here is one of those data centers and you should be familiar with this product. It's a familiar vsphere client. You see it's got a bunch of virtual machines running in there. These are the virtual machines that we now want to be able to migrate and move the VMC on aws. So we're going to go through that migration right now. And to do that we use a product that you've seen already atx, however it's the x has been, has got some new cool features since the last time we download it. Probably on this stage here last year, I wanted those in particular is how do we do bulk migration and there's a new cool thing, right? Whole thing we want to move the data center en mass and his concept here is cloud motion with vsphere replication. What this does is it replicates the underlying storage of the virtual machines using vsphere replication. So if and when you want to now do the final migration, it actually becomes a vmotion. So this is what you see going on right here. The replication is in place. Now when you want to touch you move those virtual machines. What you'll do is a vmotion and the key thing to think about here is this is an actual vmotion. Those the ends as room as they're moving a hustler, migrating remained life just as you would in a v motion across one particular infrastructure. Did you feel complete application or data center migration with no dying town? It's a Standard v motion kind of appearance. Wow. That is really impressive. That's correct. Wow. You. So one of the other things we want to talk about here is as we are moving these virtual machines from the on prem infrastructure to the VMC on aws infrastructure, unfortunately when we set up the cloud on VMC and aws, we only set up for hosts, uh, that might not be, that'd be enough because she is going to move the whole infrastructure of that this was something you guys, you and Andy referred to briefly data center. Now, earlier, this concept of elastic drs. what elastic drs does, it allows the VMC on aws to react to the workloads as they're being created and pulled in onto that infrastructure and automatically pull in new hosts into the VMC infrastructure along the way. So what you're seeing here is essentially the MC growing the infrastructure to meet the needs of the workloads themselves. Very cool. So overseeing that elastic drs. we also see the ebs capabilities as well. Again, you guys spoke about this too. This is the ability to be able to take the huge amount of stories that Amazon have, an ebs and then front that by visa you get the same experience of v Sign, but you get this enormous amount of storage capabilities behind it. Wow. That's incredible. That's incredible. I'm excited about this. This is going to enable customers to migrate faster and larger than ever before. Correct. Now she had a series of little questions. Okay. The second question was around what about all those data centers and those age applications that I did not move, and this is where we introduce the project which you've heard of already tonight called project dementia. What this does, it gives you the simplicity of Vm ware cloud, but bringing that out to the age, you know what's basically going on here, vmc on aws is a service which manages your infrastructure in aws. We know stretch that service out into your infrastructure, in your data center and at the age, allowing us to be able to manage that infrastructure in the same way. Once again, let's dive down into a demo and take a look at what this looks like. So what you've got here is a familiar series of services available to you, one of them, which is project dimension. When you enter project dimension, you first get a view of all of the different infrastructure that you have available to you, your data centers, your edge locations. You can then dive deeply into one of these to get a closer look at what's going on here. We're diving into one of these The problem is there's a networking problem going on in this warehouse. warehouses and we see it as a problem here. How do we know? We know because vm ware is running this as a managed service. We are directly managing or sorry, monitoring your infrastructure or we discover there's something going wrong here. We automatically create the ASR, so somebody is dealing with this. You have visibility to what's going on, but the vm ware managed service is already chasing the problem for you. Oh, very good. So now we're seeing this dispersed infrastructure with project dementia, but what's running on it so well before we get with running out, you've got another problem and the problem is of course, if you're managing a lot of infrastructure like this, you need to keep it up to date. And so once again, this is where the vm ware managed service kicks in. We manage that infrastructure in terms of patching it and updating it for you. And as an example, when we released a security patch, here's one for the recent l, one terminal fault, the Vmr managed service is already on that and making sure that your on prem and edge infrastructure is up to date. Very good. Now, what's running? Okay. So what's running, uh, so we mentioned this case of this software running at the edge infrastructure itself, and these are workloads which are running locally in those age, uh, those edge locations. This is a surveillance application. You can see it here at the bottom it says warehouse safety monitor. So this is an application which gathers images and then stores those images He said my sql database on top there, now this is where we leverage the somewhere and it puts them in a database. technology you just learned about when Andy and pat spoke about disability to take rds and run that on your on prem infrastructure. The block of virtual machines in the moment are the rds components from Amazon running in your infrastructure or in your edge location, and this gives you the ability to allow your developers to be able to leverage and operate against those Apis, but now the actual database, the infrastructure is running on prem and you might be doing just for performance reasons because of latency, you might be doing it simply because this data center is not always connected to the cloud. When you take a look into under the hood and see what's going on here, what you actually see this is vsphere, a modified version of vsphere. You see this new concept of my custom availability zone. That is the availability zone running on your infrastructure which supports or ds. What's more interesting is you flip back to the Amazon portal. This is typically what your developers are going to do. Once again, you see an availability zone in your Amazon portal. This is the availability zone running on your equipment in your data center. So we've truly taken that already as infrastructure and moved it to the edge so the developer sees what they're comfortable with and the infrastructure sees what they're comfortable with bridging those two worlds. Fabulous. Right. So the final question of course that we got here was what's next? How do I begin to look to the future and say I am going to, I want to be able to see all of my infrastructure just handled in an automated fashion. And so when you think about that, one of the questions there is how do we leverage new technologies such as ai and ml to do that? So what you've got here is, sorry we've got a little bit later. What you've got here is how do I blend ai in a male and the power of what's in the data center itself. Okay. And we could do that. We're bringing you the AI and ml, right? And fusing them together as never before to truly change how the data center operates. Correct. And it is this introduction is this merging of these things together, which is extremely powerful in my mind. This is a little bit like a self driving vehicle, so thinking about a car driving down the street is self driving vehicle, it is consuming information from all of the environment around it, other vehicles, what's happening, everything from the wetter, but it also has a lot of built in knowledge which is built up to to self learning and training along the way in the kids collecting lots of that data for decades. Exactly. And we've got all that from all the infrastructure that we have. We can now bring that to bear. So what we're focusing on here is a project called project magna and project. Magna leverage is all of this infrastructure. What it does here is it helps connect the dots across huge datasets and again a deep insight across the stack, all the way from the application hardware, the infrastructure to the public cloud, and even the age and what it does, it leverages hundreds of control points to optimize your infrastructure on Kpis of cost performance, even user specified policies. This is the use of machine language in order to fundamentally transform. I'm sorry, machine learning. I'm going back to some. Very early was here, right? This is the use of machine learning and ai, which will automatically transform. How do you actually automate these data centers? The goal is true automation of your infrastructure, so you get to focus on the applications which really served needs of your business. Yeah, and you know, maybe you could think about that as in the past we would have described the software defined data center, but in the future we're calling it the self driving data center. Here we are taking that same acronym and redefining it, right? Because the self driving data center, the steep infusion of ai and machine learning into the management and automation into the storage, into the networking, into vsphere, redefining the self driving data center and with that we believe fundamentally is to be an enormous advance and how they can take advantage of new capabilities from bm ware. Correct. And you're already seeing some of this in pieces of projects such as some of the stuff we do in wavefront and so already this is how do we take this to a new level and that's what project magnet will do. So let's summarize what we've seen in a few demos here as we work in true each of these very quickly going through these demos. First of all, you saw the n word cloud on aws. How do I migrate an entire data center to the cloud with no downtime? Check, we saw project dementia, get the simplicity of Vm ware cloud in the data center and manage it at the age as a managed service check. Amazon rds and Vm ware. Cool Demo, seamlessly deploy a cloud service to an on premises environment. In this case already. Yes, we got that one coming in are in m five. And then finally project magna. What happens when you're looking to the future? How do we leverage ai and ml to self optimize to virtual infrastructure? Well, how did ray do as our demo guy? Thank you. Thanks. Thanks. Right. Thank you. So coming back to this picture, our gps for the day, we've covered any cloud, let's click into now any application, and as we think about any application, we really view it as this breadth of the traditional cloud native and Sas Coobernetti is quickly maybe spectacularly becoming seen as the consensus way that containers will be managed and automate as the framework for how modern APP teams are looking at their next generation environment, quickly emerging as a key to how enterprises build and deploy their applications today. And containers are efficient, lightweight, portable. They have lots of values for developers, but they need to also be run and operate and have many infrastructure challenges as well. Managing automation while patch lifecycle updates, efficient move of new application services, know can be accelerated with containers. We also have these infrastructure problems and you know, one thing we want to make clear is that the best way to run a container environment is on a virtual machine. You know, in fact, every leader in public cloud runs their containers and virtual machines. Google the creator and arguably the world leader in containers. They runs them all in containers. Both their internal it and what they run as well as G K, e for external users as well. They just announced gke on premise on vm ware for their container environments. Google and all major clouds run their containers and vms and simply put it's the best way to run containers. And we have solved through what we have done collectively the infrastructure problems and as we saw earlier, cool new container apps are also typically some ugly combination of cool new and legacy and existing environments as well. How do we bridge those two worlds? And today as people are rapidly moving forward with containers and Coobernetti's, we're seeing a certain set of problems emerge. And Dan cone, right, the director of CNCF, the Coobernetti, uh, the cloud native computing foundation, the body for Coobernetti's collaboration and that, the group that sort of stewards the standardization of this capability and he points out these four challenges. How do you secure them? How do you network and you know, how do you monitor and what do you do for the storage underneath them? Simply put, vm ware is out to be, is working to be is on our way to be the dial tone for Coobernetti's. Now, some of you who were in your twenties might not know what that means, so we know over to a gray hair or come and see me afterward. We'll explain what dial tone means to you or maybe stated differently. Enterprise grade standard for Cooper netties and for that we are working together with our partners at Google as well as pivotal to deliver Vm ware, pks, Cooper netties as an enterprise capability. It builds on Bosh. The lifecycle engine that's foundational to the pivotal have offerings today, uh, builds on and is committed to stay current with the latest Coobernetti's releases. It builds on Nsx, the SDN container, networking and additional contributions that were making like harbor the Vm ware open source contribution for the container registry. It packages those together makes them available on a hybrid cloud as well as public cloud environments with pks operators can efficiently deploy, run, upgrade their coopernetties environments on SDDC or on all public clouds. While developers have the freedom to embrace and run their applications rapidly and efficiently, simply put, pks, the standard for Coobernetti's in the enterprise and underneath that Nsx you'll is emerging as the standard for software defined networking. But when we think about and we saw that quote on the challenges of Kubernetes today, we see that networking is one of the huge challenge is underneath that and in a containerized world, things are changing even more rapidly. My network environment is moving more quickly. NSX provides the environment's easily automate networking and security for rapid deployment of containerized environments that fully supports the MRP chaos, fully supports pivotal's application service, and we're also committed to fully support all of the major kubernetes distribution such as red hat, heptio and docker as well Nsx, the only platform on the planet that can address the complexity and scale of container deployments taken together Vm Ware, pks, the production grade computer for the enterprise available on hybrid cloud, available on major public clouds. Now, let's not just talk about it again. Let's see it in action and please walk up to the stage. When di Carter with Ray, the senior director of cloud native marketing for Vm ware. Thank you. Hi everybody. So we're going to talk about pks because more and more new applications are built using kubernetes and using containers with vm ware pts. We get to simplify the deploying and the operation of Kubernetes at scale. When the. You're the experts on all of this, right? So can you take as true the scenario of how pks or vm ware pts can really help a developer operating the Kubernedes environment, developed great applications, but also from an administrator point of view, I can really handle things like networking, security and those configurations. Sounds great. I love to dive into the demo here. Okay. Our Demo is. Yeah, more pks running coubernetties vsphere. Now pks has a lot of cool functions built in, one of which is Nsx. And today what I'm going to show you is how NSX will automatically bring up network objects as quick Coobernetti's name spaces are spun up. So we're going to start with the fees per client, which has been extended to Ron pks, deployed cooper clusters. We're going to go into pks instance one, and we see that there are five clusters running. We're going to select one other clusters, call application production, and we see that it is running nsx. Now a cluster typically has multiple users and users are assigned namespaces, and these namespaces are essentially a way to provide isolation and dedicated resources to the users in that cluster. So we're going to check how many namespaces are running in this cluster and more brought up the Kubernetes Ui. We're going to click on namespace and we see that this cluster currently has four namespaces running wire. We're going to do next is bringing up a new name space and show that Nsx will automatically bring up the network objects required for that name space. So to do that, we're going to upload a Yammel file and your developer may actually use Ku Kata command to do this as well. We're going to check the namespace and there it is. We have a new name space called pks rocks. Yeah. Okay. Now why is that guy now? It's great. We have a new name space and now we want to make sure it has the network elements assigned to us, so we're going to go to the NSX manager and hit refresh and there it is. PKS rocks has a logical robber and a logical switch automatically assigned to it and it's up and running. So I want to interrupt here because you made this look so easy, right? I'm not sure people realize the power of what happened here. The developer, winton using Kubernetes, is api infrastructure to familiar with added a new namespace and behind the scenes pks and tardy took care of the networking. It combination of Nsx, a combination of what we do at pks to truly automate this function. Absolutely. So this means that if you are on the infrastructure operation, you don't need to worry about your developer springing up namespaces because Nsx will take care of bringing the networking up and then bringing them back down when the namespace is not used. So rate, but that's not it. Now, I was in operations before and I know how hard it is for enterprises to roll out a new product without visibility. Right, so pks took care of those dates, you operational needs as well, so while it's running your clusters, it's also exporting Meta data so that your developers and operators can use wavefront to gain deep visibility into the health of the cluster as well as resources consumed by the cluster. So here you see the wavefront Ui and it's showing you the number of nodes running, active parts, inactive pause, et cetera. You can also dive deeper into the analytics and take a look at information site, Georgia namespace, so you see pks rocks there and you see the number of active nodes running as well as the CPU utilization and memory consumption of that nice space. So now pks rocks is ready to run containerized applications and microservices. So you just get us a very highlight of a demo here to see a little bit what pks pks says, where can we learn more? So we'd love to show you more. Please come by the booth and we have more cool functions running on pks and we'd love to have you come by. Excellent. Thank you, Lindy. Thank you. Yeah, so when we look at these types of workloads now running on vsphere containers, Kubernedes, we also see a new type of workload beginning to appear and these are workloads which are basically machine learning and ai and in many cases they leverage a new type of infrastructure, hardware accelerators, typically gps. What we're going to talk about here is how in video and Vm ware have worked together to give you flexibility to run sophisticated Vdi workloads, but also to leverage those same gpu for deep learning inference workloads also on vsphere. So let's dive right into a demo here. Again, what you're seeing here is again, you're looking at here, you're looking at your standard view realized operations product, and you see we've got two sets of applications here, a Vdi desktop workload and machine learning, and the graph is showing what's happening with the Vdi desktops. These are office workers leveraging these desktops everyday, so of course the infrastructure is super busy during the daytime when they're in the office, but the green area shows this is not been used very heavily outside of those times. So let's take a look. What happens to the machine learning application in this case, this organization leverages those available gpu to run the machine learning operations outside the normal working hours. Let's take a little bit of a deeper dive into what the application it is before we see what we can do from an infrastructure and configuration point of view. So this machine learning application processes a vast number of images and it clarify or sorry, it categorizes these images and as it's doing so, it is moving forward and putting each of these in a database and you can see it's operating here relatively fast and it's leveraging some gps to do that. So typical image processing type of machine learning problem. Now let's take a dive in and look at the infrastructure which is making this happen. First of all, we're going to look only at the Vdi employee Dvt, a Vdi infrastructure here. So I've got a bunch of these applications running Vdi applications. What I want to do is I want to move these so that I can make this image processing out a application run a lot faster. Now normally you wouldn't do this, but pot insisted that we do this demo at 10:30 in the morning when the office workers are in there, so we're going to move older Vdi workloads over to the other cluster and that's what you're seeing is going on right now. So as they move over to this other cluster, what we are now doing is freeing up all of the infrastructure. The GPU that Vdi workload was using here. We see them moving across and now you've freed up that infrastructure. So now we want to take a look at this application itself, the machine learning application and see how we can make use of that. Now freed up infrastructure we've got here is the application is running using one gpu in a vsphere cluster, but I've got three more gpu is available now because I've moved the Vdi workloads. We simply modify the application, let it know that these are available and you suddenly see an increase in the processing capabilities because of what we've done here in terms of making the flexibility of accessing those gps. So what you see here is the same gps that youth for Vdi, which you probably have in your infrastructure today, can also be used to run sophisticated machine learning and ai type of applications on your vsphere infrastructure. So let's summarize what we've seen in the various demos here in this section. First of all, we saw how the MRPS simplifies the deployment and operating operation of Kubernetes at scale. What we've also seen is that leveraging the Nvidia Gpu, we can now run the most demanding workloads on vsphere. When we think about all of these applications and these new types of workloads that people are running. I want to take one second to speak to another workload that we're seeing beginning to appear in the data center. And this is of course blockchain. We're seeing an increasing number of organizations evaluating blockchains for smart contract and digital consensus solutions. So this tech, this technology is really becoming or potentially becoming a critical role in how businesses will interact each other, how they will work together. We'd project concord, which is an open source project that we're releasing today. You get the choice, performance and scale of verifiable trust, which you can then bring to bear and run in the enterprise, but this is not just another blockchain implementation. We have focused very squarely on making sure that this is good for enterprises. It focuses on performance, it focuses on scalability. We have seen examples where running consensus algorithms have taken over 80 days on some of the most common and widely used infrastructure in blockchain and we project conquered. You can do that in two and a half hours. So I encourage you to check out this project on get hub today. You'll also see lots of activity around the whole conference. Speaking about this. Now we're going to dive into another section which is the anti device section. And for that I need to welcome pat back up there. Thank you pat. Thanks right. So diving into any device piece of the puzzle, you and as we think about the superpowers that we have, maybe there are no more area that they are more visible than in the any device aspect of our picture. You know, and as we think about this, the superpowers, you know, think about mobility, right? You know, and how it's enabling new things like desktop as a service in the mobile area, these breadth of smartphones and devices, ai and machine learning allow us to manage them, secure them and this expanding envelope of devices in the edge that need to be connected and wearables and three d printers and so on. We've also seen increasing research that says engaged employees are at the center of business success. Engaged employees are the critical ingredient for digital transformation. And frankly this is how I run vm ware, right? You know, I have my device and my work, all my applications, every one of my 23,000 employees is running on our transformed workspace one environment. Research shows that companies that, that give employees ready anytime access are nearly three x more likely to be leaders in digital transformation. That employees spend 20 percent of their time today on manual processes that can be automated. The way team collaboration and speed of division decisions increases by 16 percent with engaged employees with modern devices. Simply put this as a critical aspect to enabling your business, but you remember this picture from the silos that we started with and each of these environments has their own tribal communities of management, security automation associated with them, and the complexity associated with these is mind boggling and we start to think about these. Remember the I'm a pc and I'm a Mac. Well now you have. I'm an Ios. I'm a droid and other bdi and I'm now a connected printer and I'm a connected watch. You remember citrix manager and good is now bad and sccm a failed model and vpns and Xanax. The chaos is now over at the center of that is vm ware, workspace one, get it out of the business of managing devices, automate them from the cloud, but still have the mentor price. Secure cloud based analytics that brings new capabilities to this critical topic. You'll focus your energy on creating employee and customer experiences. You know, new capabilities to allow like our airlift, the new capability to help customers migrate from their sccm environment to a modern management, expanding the use of workspace intelligence. Last year we announced the chromebook and a partnership with HP and today I'm happy to announce the next step in our partnerships with Dell. And uh, today we're announcing that Dell provisioning for Vm ware, workspace one as part of Dell's ready to work solutions Dallas, taking the next leap and bringing workspace one into the core of their client to offerings. And the way you can think about this as Literally a dell drop ship, lap pops showing up to new employee. day one, productivity. You give them their credential and everything else is delivered by workspace one, your image, your software, everything patched and upgraded, transforming your business, right beginning at that device experience that you give to your customer. And again, we don't want to talk about it. We want to show you how this works. Please walk to the stage with re renew the head of our desktop products marketing. Thank you. So we just heard from pat about how workspace one integrated with Dell laptops is really set up to manage windows devices. What we're broadly focused on here is how do we get a truly modern management system for these devices, but one that has an intelligence behind it to make sure that we're kept with a good understanding of how to keep these devices always up to date and secure. Can we start the demo please? So what we're seeing here is to be the the front screen that you see of workspace one and you see you've got multiple devices a little bit like that demo that patch assured. I've got Ios, android, and of course I've got windows renewal. Can you please take us through how workspace one really changes the ability of somebody an it administrator to update and manage windows into our environment? Absolutely. With windows 10, Microsoft has finally joined the modern management body and we are really excited about that. Now. The good news about modern management is the frequency of ostp updates and how quickly they come out because you can address all those security issues that are hitting our radar on a daily basis, but the bad news about modern management is the frequency of those updates because all of us in it admins, we have to test each and every one of our applications would that latest version because we don't want to roll out that update in case of causes any problems with workspace one, we saw that we simply automate and provide you with the APP compatibility information right out of the box so you can now automate that update process. Let's take a quick look. Let's drill down here further into the windows devices. What we'll see is that only a small percentage of those devices are on that latest version of operating system. Now, that's not a good thing because it might have an important security fix. Let's scroll down further and see what the issue is. We find that it's related to app compatibility. In fact, 38 percent of our devices are blocked from being upgraded and the issue is app compatibility. Now we were able to find that not by asking the admins to test each and every one of those, but we combined windows analytics data with APP intelligent out of the box and be provided that information right here inside of the console. Let's dig down further and see what those devices and apps look like. So knew this is the part that I find most interesting. If I am a system administrator at this point I'm looking at workspace one is giving me a key piece of information. It says if you proceed with this update, it's going to fail 84, 85 percent at a time. So that's an important piece of information here, but not alone. Is it telling me that? It is telling me roughly speaking why it thinks it's going to fail. We've got a number of apps which are not ready to work with this new version, particularly the Mondo card sales lead tracker APP. So what we need to do is get engineering to tackle the problems with this app and make sure that it's updated. So let's get fixing it in order to fix it. What we'll do is create an automation and we can do this right out of the box in this automation will open up a Jira ticket right from within the console to inform the engineers about the problem, not just that we can also flag and send a notification to that engineering manager so that it's top of mine and they can get working on this fixed right away. Let's go ahead and save that automation right here, ray UC. There's the automation that we just So what's happening here is essentially this update is now scheduled meeting. saved. We can go and update oldest windows devices, but workspace one is holding the process of proceeding with that update, waiting for the engineers to update the APP, which is going to cause the problem. That's going to take them some time, right? So the engineers have been working on this, they have a fixed and let's go back and see what's happened to our devices. So going back into the ios updates, what we'll find is now we've unblocked those devices from being upgraded. The 38 percent has drastically dropped down. It can rest in peace that all of the devices are compliant and on that latest version of operating system. And again, this is just a snapshot of the power of workspace one to learn more and see more. I invite you all to join our EOC showcase keynote later this evening. Okay. So we've spoken about the presence of these new devices that it needs to be able to manage and operate across everything that they do. But what we're also seeing is the emergence of a whole new class of computing device. And these are devices which are we commonly speak to have been at the age or embedded devices or Iot. And in many cases these will be in factories. They'll be in your automobiles, there'll be in the building, controlling, controlling, uh, the building itself, air conditioning, etc. Are quite often in some form of industrial environment. There's something like this where you've got A wind farm under embedded in each of these turbines. This is a new class of computing which needs to be managed, secured, or we think virtualization can do a pretty good job of that in new virtualization frontier, right at the edge for iot and iot gateways, and that's gonna. That's gonna, open up a whole new realm of innovation in that space. Let's dive down and taking the demo. This spaces. Well, let's do that. What we're seeing here is a wind turbine farm, a very different than a data center than what we're used to and all the compute infrastructure is being managed by v center and we see to edge gateway hose and they're running a very mission critical safety watchdog vm right on there. Now the safety watchdog vm is an fte mode because it's collecting a lot of the important sensor data and running the mission critical operations for the turbine, so fte mode or full tolerance mode, that's a pretty sophisticated virtualization feature allowing to applications to essentially run in lockstep. So if there's a failure, wouldn't that gets to take over immediately? So this no sophisticated virtualization feature can be brought out all the way to the edge. Exactly. So just like in the data center, we want to perform an update, so as we performed that update, the first thing we'll do is we'll suspend ft on that safety watchdog. Next, we'll put two. Oh, five into maintenance mode. Once that's done, we'll see the power of emotion that we're all familiar with. We'll start to see all the virtual machines vmotion over to the second backup host. Again, all the maintenance, all the update without skipping a heartbeat without taking down any daily operations. So what we're seeing here is the basic power of virtualization being brought out to the age v motion maintenance mode, et cetera. Great. What's the big deal? We've been doing that for years. What's the, you know, come on. What's the big deal? So what you're on the edge. So when you get to the age pack, you're dealing with a whole new class of infrastructure. You're dealing with embedded systems and new types of cpu hours and process. This whole demo has been done on an arm 64. Virtualization brought to arm 64 for embedded devices. So we're doing this on arm on the edge, correct. Specifically focused for embedded for age oems. Okay. Now that's good. Okay. Thank you ray. Actually, we've got a summary here. Pat, just a second before you disappear. A lot to rattle off what we've just seen, right? We've seen workspace one cross platform management. What we've also seen, of course esx for arm to bring the power of vfx to edge on 64, but are in platforms will go no. Okay. Okay. Thank you. Thanks. Now we've seen a look at a customer who is taking advantage of everything that we just saw and again, a story of a customer that is just changing lives in a fundamental way. Let's see. Make a wish. So when a family gets the news that a child is sick and it's a critical illness, it could be a life threatening illness. The whole family has turned upside down. Imagine somebody comes to you and they say, what's the one thing you want that's in your heart? You tell us and then we make that happen. So I was just calling to give you the good news that we're going to be able to grant jackson a wish make, which is the largest wish granting organizations in the United States. English was featured in the cbs 60 minutes episode. Interestingly, it got a lot of hits, but uh, unfortunately for the it team, the whole website crashed make a wish is going through a program right now where we're centralizing technology and putting certain security standards in place at our chapters. So what you're seeing here, we're configuring certain cloud services to make sure that they always are able to deliver on the mission whether they have a local problem or not is we continue to grow the partnership and work with vm ware. It's enabling us to become more efficient in our processes and allows us to grant more wishes. It was a little girl. She had a two year old brother. She just wanted a puppy and she was forthright and I want to name the puppy in my name so my brother would always have me to list them off a five year old. It's something we can't change their medical outcome, but we can change their spiritual outcome and we can transform their lives. Thank you. Working together with you truly making wishes come true. The last topic I want to touch on today, and maybe the most important to me personally is security. You got to fundamentally, when we think about this topic of security, I'll say it's broken today and you know, we would just say that the industry got it wrong that we're trying to bolt on or chasing bad, and when we think about our security spend, we're spending more and we're losing more, right? Every day we're investing more in this aspect of our infrastructure and we're falling more behind. We believe that we have to have much less security products and much more security. You know, fundamentally, you know, if you think about the problem, we build infrastructure, right? Generic infrastructure, we then deploy applications, all kinds of applications, and we're seeing all sorts of threats launched that as daily tens of millions. You're simple virus scanner, right? Is having tens of millions of rules running and changing many times a day. We simply believe the security model needs to change. We need to move from bolted on and chasing bad to an environment that has intrinsic security and is built to ensure good. This idea of built in security. We are taking every one of the core vm ware products and we are building security directly into it. We believe with this, we can eliminate much of the complexity. Many of the sensors and agents and boxes. Instead, they'll directly leverage the mechanisms in the infrastructure and we're using that infrastructure to lock it down to behave as we intended it to ensure good, right on the user side with workspace one on the network side with nsx and microsegmentation and storage with native encryption and on the compute with app defense, we are building in security. We're not chasing threats or adding on, but radically reducing the attack surface. When we look at our applications in the data center, you see this collection of machines running inside of it, right? You know, typically running on vsphere and those machines are increasingly connected. Through nsx and last year we introduced the breakthrough security solution called app defense and app defense. Leverages the unique insight we get into the application so that we can understand the application and map it into the infrastructure and then you can lock down, you could take that understanding, that manifest of its behavior and then lock those vms to that intended behavior and we do that without the operational and performance burden of agents and other rear looking use of attack detection. We're shrinking the attack surface, not chasing the latest attack vector, you know, and this idea of bolt on versus chasing bad. You sort of see it right in the network. Machines have lots of conductivity, lots of applications running and something bad happens. It basically has unfettered access to move horizontally through the data center and most of our security is north, south. MosT of the attacks are eastwest. We introduced this idea of microsegmentation five years ago, and by it we're enabling organizations to secure some networks and separate sensitive applications and services as never before. This idea isn't new, that just was never practical before nsx, but we're not standing still. Our teams are innovating to leap beyond 12. What's next beyond microsegmentation, and we see this in three simple words, learn, imagine a system that can look into the applications and understand their behavior and how they should operate. we're using machine learning and ai instead of chasing were to be able to ensure good where that that system can then locked down its behavior so the system consistently operates that way, but finally we know we have a world of increasing dynamic applications and as we move to more containerize the microservices, we know this world is changing, so we need to adapt. We need to have more automation to adapt to the current behavior. Today I'm very excited to have two major announcements that are delivering on this vision. The first of those vsphere platinum, our flagship vm ware vsphere product now has app defense built right in platinum will enable virtualization teams. Yeah, go ahead. Yeah, let's use it. Platinum will enable virtualization teams you to give an enormous contribution to the security profile of your enterprise. You could see whatever vm is for its purpose, its behavior until the system. That's what it's allowed to do. Dramatically reducing the attack surface without impact. On operations or performance, the capability is so powerful, so profound. We want you to be able to leverage it everywhere, and that's why we're building it directly into vsphere, vsphere platinum. I call it the burger and fries. You know, nobody leaves the restaurant without the fries who would possibly run a vm in the future without turning security on. That's how we want this to work going forward. Vsphere platinum and as powerful as microsegmentation has been as an idea. We're taking the next step with what we call adaptive microsegmentation. We are fusing Together app defense and vsphere with nsx to allow us to align the policies of the application through vsphere and the network. We can then lock down the network and the compute and enable this automation of the microsegment formation taken together adaptive microsegmentation. But again, we don't want to just tell you about it. We want to show you. Please welcome to the stage vj dante, who heads our machine learning team for app dispense. Vj a very good vj. Thanks for joining us. So, you know, I talked about this idea right, of being able to learn, lock and adapt. Uh, can you show it to us? Great. Yeah. Thank you. With vc a platinum, what we have done is we have put in everything you need to learn, lock and adapt, right with the infrastructure. The next time you bring up your wifi at line, you'll actually see a difference right in there. Let's go with that demo. There you go. And when you look at our defense there, what you see is that all your guests, virtual machines and all your host, hundreds of them and thousands of virtual machines enabling for that difference. It's in there. And what that does is immediately gets you visibility into the processes running on those virtual machines and the risk for the first time. Think about it for the first time. You're looking at the infrastructure through the lens of an application. Here, for example, the ecommerce application, you can see the components that make up that application, how they interact with each other, the specific process, a specific ip address on a specific board. That's what you get, but so we're learning the behavior. Yes. Yeah, that's very good. But how do you make sure you only learn good behavior? Exactly. How do we make sure that it's not bad? We actually verify me insured. It's all good. We ensured that everybody these reputation is verified. We ensured that the haven is verified. Let's go to svc host, for example. This process can exhibit hundreds of behaviors across numerous. Realize what we do here is we actually verify that failure saw us. It's actually a machine learning models that had been trained on millions of instances of good, bad at you said, and then automatically verify that for okay, so we said, you. We learned simply, learn now, lock. How does that work? Well, once you learned the application, locking it is as simple as clicking on that verify and protect button and then you can lock both the compute and network and it's done. So we've pushed those policies into nsx and microsegmentation has been established actually locked down the compute. What is the operating system is exactly. Let's first look at compute, protected the processes and the behaviors are locked down to exactly what is allowed for that application. And we have bacon policies and program your firewall. This is nsx being configured automatically for you, laurie, with one single click. Very good. So we said learn lock. Now, how does this adapt thing work? Well, a bad change is the only constant, but modern applications applications change on a continuous basis. What we do is actually pretty simple. We look at every change as it comes in determinant is good or bad. If it's good, we say allow it, update the policies. That's bad. We denied. Let's look at an example as asco dxc. It's exhibiting a behavior that they've not seen getting the learning period. Okay? So this machine has never behave this This hasn't been that way. But. way. But again, our machine learning models had seen thousands of instances of this process. They know this is normal. It talks on three 89 all the time. So what it's done to the few things, it's lowered the criticality of the alarm. Okay, so false positive. Exactly. The bane of security operations, false positives, and it has gone and updated. Jane does locks on compute and network to allow for that behavior. Applications continues to work on this project. Okay, so we can learn and adapt and action right through the compute and the network. What about the client? Well, we do with workplace one, intelligence protect and manage end user endpoint, but what's one intelligence? Nsx and actually work together to protect your entire data center infrastructure, but don't believe me. You can watch it for yourself tomorrow tom cornu keynote. You want to be there, at 1:00 PM, be there or be nowhere. I love you. Thank you veejay. Great job. Thank you so much. So the idea of intrinsic security and ensuring good, we believe fundamentally changing how security will be delivered in the enterprise in the future and changing the entire security industry. We've covered a lot today. I'm thrilled as I stand on stage to stand before this community that truly has been at the center of changing the world of technology over the last couple of decades. In it. We've talked about this idea of the super powers of technology and as they accelerate the huge demand for what you do, you know in the same way we together created this idea of the virtual infrastructure admin. You'll think about all the jobs that we are spawning in the discussion that we had today, the new skills, the new opportunities for each one of us in this room today, quantum program, machine learning engineer, iot and edge expert. We're on the cusp of so many new capabilities and we need you and your skills to do that. The skills that you possess, the abilities that you have to work across these silos of technology and enabled tomorrow. I'll tell you, I am now 38 years in the industry and I've never been more excited because together we have the opportunity to build on the things that collective we have done over the last four decades and truly have a positive global impact. These are hard problems, but I believe together we can successfully extend the lifespan of every human being. I believe together we can eradicate chronic diseases that have plagued mankind for centuries. I believe we can lift the remaining 10 percent of humanity out of extreme poverty. I believe that we can reschedule every worker in the age of the superpowers. I believe that we can give modern ever education to every child on the planet, even in the of slums. I believe that together we could reverse the impact of climate change. I believe that together we have the opportunity to make these a reality. I believe this possibility is only possible together with you. I asked you have a please have a wonderful vm world. Thanks for listening. Happy 20th birthday. Have a great topic.
SUMMARY :
of devices in the edge that need to be
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Nithin Eapen, Arcadia Crypto Ventures | Blockchain Futurist Conference 2018
>> Hi from Toronto, Canada. It's the CUBE covering Blockchain Futurist Conference 2018 brought to you by the CUBE. >> Welcome back to the live coverage. Day Two of the CUBE here in Toronto, Ontario in Canada for the untraceable Blockchain Futurist Conference wall-to-wall coverage Day Two. A lot of action going on. Tons of great content, tons of great after-hour networking. Just overall great vibe. In light of the market crashing, bitcoin stabilizing, some old coins getting crushed. We got it all covered for here. I'm John Furrier, your host for the CUBE, and our next guest is Nithin Eapen, who's the chief investment officer of Arcadia Crypto Ventures. Arcadia Crypto Ventures, welcome to the CUBE, good to see you. >> Hey good to see you too John. Thank you for having me here. >> Keep alumni in the know. Okay. So first of all, you're an investor in crypto. Everyone's running for the hills. A dip is happening, a crash, or some will say. Your perspective, what's happening in the market? >> See, happening in the market. So typically just like in any asset class, there was a huge run-up that happened very quickly. It didn't go up slow, alright? And the geeks were in early, the libertarians came in after that, then there were speculators. And the retail market also came in, and they all came in together for let's say the December after the November Thanksgiving week and everybody learnt about cryptos, they came in. Alright, the next set of guys haven't come in. Alright? So there's nothing for them there. Nobody's holding them there. And there were expecting the institutional investors to come in and that hasn't happened due to custody problems, ETF problems and all that stuff. Alright, it started going down. The weak hands are falling. The weak hands are keeping on falling and as with any technology, any bubble of people have come in, now they feel that okay the world is coming to an end and they are selling all their stuff. All the ICOs that have raised money in Ether, selling the Ether. All this together is pushing it down, and everybody's waiting for that next set of investors, or the, every 10 X, I mean, an asset goes up, there's a new set of guys who are supposed to come in, and this time it hasn't come in and we're waiting for that. >> You're on the panel here at the event. A lot of different panels, but one panel I watched you were on, you talked about the token model, people were holding Ether. It's kind of a debate, you know, and Bradley Rotter, another investor was saying, hey, there are too many tokens out there. You had different perspective, but one of the things I wanted to get your reaction to is that people who held on to the Ether lost their runway and it creates a harder road to hold. So people were converting to Fiat. This is a big issue. How are we going to get by this? This whole lot of Ether, more people are going to come in. The dynamics of investing in this token model, has it changed? How are you looking at it, and I'd say, how do you help startups? >> So regarding a lot of tokens, first thing is there are a lot of tokens out there. See that is going to happen. It's just like in the 1999, okay, a lot of websites and a lot of Internet companies, pet.com, everybody's an Internet company. Same way, everybody is a token. 95 to 99 percent of them are going to go away and the good ones will rise from those ashes, okay. Now regarding runway, a lot of these projects have pretty much raised enough money for 50 years of runway. So it has crashed one-fifth, okay, they have 10 years worth of runway. Typically, in the olden days, a small company with an idea or a MVP was max going to raise one million to two or three million, alright? And all of them anyway have that even after Ether has crashed. I'm saying, just don't panic okay? You still have 10 years worth of runway. Utilize that, build upon it because the high period may be over where you can just raise money on a white paper. You've got the money, build yourself. You promised your real investors I'm going to build this great thing. So this is where we're going to see the great founders to the average and the bad ones where they've hit a wall, they don't know what to do, they'll fold their hands and walk away. Really good founders, they're resilient. They will, no matter how hard they're pushed to the wall, they're going to come up with the product, you see, and they're going to try to meet customer demands. They're going to get through the feedback loop, check what the customer wants and start delivering it. >> So basically what you're saying is there's so much money being raised, and I agree with you by the way. If you go the classic venture capital route, if you had a Powerpoint or prototype or even a working product with recurring revenue, your serious preferred stock financing will be anywhere from three to 15 million. >> Oh my god. And that's high end. >> That's a high end. >> 15 million will be on the high end. Some cases are raising 50 million, some cases 70 plus million, so even if you cut that in half, it's still a better outcome on the first round. I agree at that, so I think that's interesting. The other one that you mentioned is that things are dynamic, that we're seeing here at the show is in the hallways, everybody's talking about flight-to-quality. And I was talking yesterday on the wrap-up of Day One that you can tell the good deals from the bad deals by is the venture architecture working for the coin, or is the coin working for the venture architecture. And so this flight-to-quality combined with how people are optimizing their build up is critical. >> Yes. >> Talk about some things that you're seeing with this flight-to-quality. Is there anything in particular? Is it blockchain? Is it token economics? Where's the quality deals from your perspective? >> I feel quality lies in the founder of this. The founding team, because the idea, if you really ask me what is an idea here? An idea is just like mental masturbation. Guys who sit there can come up with so many ideas. That's what ideas are, okay? Now taking these ideas to fruition, like building it. There's a capital raising part, okay? Now a lot of people are good at capital raising. They're raising money and a lot of capital coming in. That's awesome because you need capital to attract talent to the space because a lot of talent who are maybe in astrophysics or in mechanical engineering, you want that talent to come here and come with ideas and build the stuff. Okay, the capital has come in. Now once the capital has come in, you really have to build the stuff. Even after you build the stuff, you have to go find the customer right? You have to go and acquire customers and all these three things coming together are so hard in reality. And that's why the venture capital always give a little bit of money to make sure that these guys are not wasting the whole thing away, right? >> Well, the other thing I want to get in touch, get on to you is here is that, in the old days, Silicon Valley, you got to move there, the VCs were there. Now, talking about the global phenomenon, the capital formation is both inside the United States and outside the United States. Certainly inside the United States, you're starting to see the formation around traditional structures, security token, which is more like, it feels like a security, a more preferred financing model. Equity's now involved. Outside United States, a booming utility token market. Your thoughts on how that's progressing, still open, still crazy? What's your thoughts? >> So the capital model, the beauty that has happened today is, earlier, you had to pitch to two hundred VCs or three hundred VCs to get one guy to put money into it. Most of the time, they'll be wasting your time, alright? So you had to go to them to get a million. And you didn't have any other option. You couldn't get it from a small enthusiast of your project to give you five hundred bucks or a thousand bucks. So now, you have that option, okay. Now that option is being cut by regulation, by the STC and people like that coming in saying, oh you can't do that, it has to be a security token. Alright, let's make it a security token. The moment you make it a security token, my question is, can you raise money from outside? Are you stopping that? Then again it doesn't really make sense. You're cutting the small investor, the chance for him to buy into a good, okay? It was only the VCs like Sequoia, or somebody like that, who could access a deal like Google. Now we have a chance for something like Google to come up with the common man whose putting five hundred, like Ethereum. There was no venture capitalist or Wall Street who got involved in Ethereum. The real money was made by very common people who supported a decentralized world computer. >> All CVCs get it now, market entries or whoever's getting involved, starting to see VCs dabble in there. Has that changed the investment dynamic at all? >> It has because the VCs, they have this feeling they've missed out, right? So now they're putting in five and 10 million dollars into a project, valuing a project to three hundred million. It changes the dynamics because now all these guys, like, there are so many projects that are raising like a hundred million because the VCs, all these private investors, are giving 10, 15, 20 million. Like recently for example, they've raised a 300 million dollar fund. They can't invest 10 thousand to 50 thousand to 100 thousand, right? They have to push 10 million to manage the money. That is skewing stuff, and I personally am not very interested in those kinds of projects, because it's without a community power at that time, so I don't know how the token economics is going to be fruitful for the second investor, the third investor. >> And Block Tower, we found out yesterday, is also investing in putting a fund together, a venture fund. It's interesting. We'll see how that shakes out. One thing that is going to change is the dynamics. You mentioned community, obviously, a big part of that. Big community here at the Futurist event, Toronto. So they've got a Canadian culture, a lot of Ethereum DNA in this area. What are you hearing at this event? What are some of the things that you're hearing in the hallways? You've obviously been on some panels at this event, and you're highly networked. What are you hearing? What's, with your ears to the ground, what's it telling you? >> You were talking about Block Tower, yes, they're doing a venture fund. It's great. He's a very very smart investor and they're going to do very well. On the ground, so most of the questions right now are coming, so we've reached the point that okay, we have built up the blockchains or the bit coins. We want it to be faster, alright? Everybody's looking for scalability. Who can bring scalability? The EOS guys are out there. They are saying they can do, you know what, five thousand or 10 thousand or 100 thousand transactions per second. So scalability is a very very big thing. I personally consider something like interoperability, bigger. Interoperability in the sense, alright, so now you have these multiple chains. It's just like multiple types of phones. Now imagine you had an AT&T phone and you couldn't call the Verizon phone customer, alright? We're at that point. We have all these chains, there's Ethereum, there's One Chain, there's EOS. Okay, I've built, let's say, a distributor app, let's say it's a poker app on Ethereum. But I can't play with the guy who's on EOS right? What if he also wants to play poker in this poker app? Is there somewhere we can make this integrate and interoperable? Now to make it interoperable, now we have, if we go into details, there are assets, there are tokens on both sides. How can we transfer tokens from one chain to the other chain making sure there's no double-spend happening? >> I mean there's two things. That was the consumability, making it easy to use, one. And two, I think you're right on. Interoperability's huge. You got to have that. >> Interface, as you said. Interface is big. To make it simple, it's still the geeks. In geeks, a lot of people are using command lang prompts. You can't expect the common man sitting at home. It's just like email. Email was there from 1978. It's only when all these tools like, beginning '94, and the browser came in, that people started using it. So those things have to come in. >> A lot of work's got to get done. So many on the blockchain side. Well, great to have you on. Good to see you. Congratulations on your panels and this afternoon, you're doing a good job. Thanks for coming on. I appreciate it. >> Thank you so much, John. >> Any predictions by the way? >> Predictions, I don't know, I'm not a predictions guy. I just go with the market. >> Price of bitcoin 20 thousand? >> Oh I never get into those predictions. I never want to get it. I think that it's possible that the bear market can continue for a longer time based on the fact that the newer money cannot come in. It has happened before. Bitcoin has fallen so many times at the 70, 80 percent range and then it stayed stagnant for a year before the next round up came. >> And certainly we got work (inaudible). Thanks for coming on. Keep coverage here live in Toronto, Ontario. Keep coverage here with the untraceable Blockchain Futurist Conference here of two days. Day Two, keep coverage. We're back after this short break. Thanks for watching. (electronic music)
SUMMARY :
brought to you by the CUBE. Day Two of the CUBE here in Hey good to see you too John. Keep alumni in the know. And the geeks were in early, You're on the panel here at the event. and the good ones will rise and I agree with you by the way. And that's high end. by is the venture architecture Where's the quality deals and build the stuff. and outside the United States. the chance for him to Has that changed the It has because the VCs, What are some of the things Interoperability in the sense, alright, You got to have that. and the browser came in, So many on the blockchain side. I just go with the market. that the bear market Conference here of two days.
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Sazzala Reddy & Brian Biles, Datrium | CUBEConversation, July 2018
(techy music) >> Hi, everybody, welcome to this special Cube conversation, my name is Dave Vellante. I'm very excited to be here in our Palo Alto studios in the heart of Silicon Valley, the innovation hub of technology. In 2015 we introduced a company to your community called Datrium and one of the co-founders, Brian Biles at the time, came on as one of our segments and shared with us a little bit about what they were doing. Well, several years on, three years on, this company Datrium is exploding and we're really excited to have Brian Biles back, who's the co-founder and chief product officer at Datrium and he's joined by Sazzala Reddy, who's the CTO and another co-founder. One of the, two of the five co-founders here, so gentlemen, great to see you again, thanks for coming on. >> Good to see you, Dave. >> Yeah, so Brian, I remember that interview and I remember, you know, trying to get out of you what that secret sauce was, exactly what you were doing. There were a lot of other start ups, you know, at that time and several have gone by the wayside. You guys are exploding, so I want to help people understand why you're being so successful. Now, I want to start with the two co-founders. Why did you and your other co-founders start the company? >> You know, we started the company... We hired our first people in 2013, and at that time, there were really two separate worlds. There was a cloud world and there was an on-prem world that was sort of dominated by VMware. So, there were these two evolving discussions about how each one was going to grow in it's own way but kind of within its sphere. We thought there was an opportunity to bridge the two, and to do that, you know, ultimately it becomes a questions of how to run sort of coordinating applications on public clouds and deal with data on public clouds but also to have a capable version of the same infrastructure on private clouds. So, our sort of job one was to build up, to sort of import cloud technology onto prem. We currently have, if you want an Amazon-like version of infrastructure on-prem, we're still the best place to go because we have a two layer model, where there's, you know, compute with fast flash, talking to a separate durability layer very much like EC to an S3. You want to do that, we're still the way to go. But the long term story is also developing. We have a footprint on cloud with a backup store on S3 that coordinates all our data services for global deduping security and so on in a very cost effective, simple SAS way, and that part is growing significantly over the next couple of years. So we're, you know, through with sort of phase one. It'll keep, you know, evolving but phase two is really just getting going. >> So Sazzala, as the chief technologist you had to think about the architecture of where the industry was going and the architecture that would fit that. And you know, that people talk about future proofing so if you think back to the original sort of founding premise, what were some of the challenges that you were trying to solve? >> Right, so there's a business use cases and then there's technology use cases. And as a CTO you have to think of both of them, not just technologies, so if you look at technology point of view, you know, in 2000, back in 2000, Google published a paper called Map Reduce that said hey, this is all we can do at large scale. It was the beginning of how to build large scale distributed systems. But it was built for one use case for surge. But if you look at, we started in a time when Google was already there and they built a system for multiple, unpredictable use cases. So you think differently how the problem is whereas Google start from, though. Some of the CI vendors, they've done good things. They kind of evolved in that direction. We have evolved in a new direction. To the technology point of view, that's kind of what we thought about. But from a business perspective, what do people want? You know, if you look at the next generation, the millennials, and look beyond that they're used to iPhone experience. They don't want, if you tell them about LUNs, they don't re-phone LUNs, they're going to just say what is this and why do you have this stuff, right? So you have to evolve away from that. So, it's the CIA wants to think about how do I make my idea the service? How do I consume, you know, how do I make it a consumption model, how do I make my IT not a cost center but a friendly way to you know, grow my business? And the developers want a platform they can develop things faster, they can adapt to newer, kind of newer technologies coming in, there's Mesos, there's Docker container, there's Kubernetes, thus things change rapidly. So that's going to build a framework in how we wanted to start the company. Basically build a cloud-like experience simple as a SAS, simple as a click and then just make that work. >> The thing that's interesting to me about Datrium is you know, the simplicity, like open. You know, I remember when Unix was considered open and then obviously the definition changes, simplicity has changed. I remember when converged infrastructure, bolting together, compute storage and networking, simplified things. Hyperconverge took that to another level. You guys are going beyond that taking it to yet another level of simplicity, so I wonder if you could talk about that-- >> Yeah, so-- Specifically in terms of the problems that you're solving today for customers. >> So if you look at the V block, I guess the VCE was the first, I guess that they made a successful convergence. So they did hardware convergence-- >> Right. which is a useful thing to do. Same thing with your head CI, the traditional vendors, they do hardware convergence, if you look at Hecht, probably stands for hardware convergence, maybe. But we took a little bigger step in the sense that what you really want us to think about is data convergence. Not, hyperconvergence is useful, but you also think operating about data convergence. What's the point of building your on-prem cloud- like experience when you still have to do backups and some other you know, some other boxes you are to buy. That's not a really good experience, but you need is this whole new hardware convergence, we also need data convergence to get that experience of like cloud-like simplicity in your on-prem. >> Right, in the cloud you don't think of backing it up, right, it's self protecting. That's just the nature of how you should be thinking about on-prem as well. So, when we imported that technology to be a two-layer approach, we built that stuff in so you don't have to think about it. It's kind of like there's no SQL or we're sort of like no backup. >> Yeah, we're going to talk some more about that but that's an important point is you get backup and data protection, you know, full capability, it's just there. I always use the example of Netflix or Spotify. I don't have to call up a salesperson or the billing department or the customer service department, it's just there and I deal with it. >> Right and it gives you, you know, this combination of, in the two layers, the ability to run multiple workloads at big scale, which is otherwise hard in some of these more historical approaches, with great performance that you know is off the charts. But it also means you don't have to move data around as much. So you restore, you restart, you don't restore. You don't copy stuff in and out. >> Yeah. >> That data mobility efficiency it turns out, is also super critical when you think about multi-cloud behavior. >> You have to be in the business to actually feel like you talk to backup admins and life is hell. It is really painful and it's also very fearful if you have a problem, you have to restore and everybody's watching you when you're restoring. So we try to eliminate all those problems, right? Make it, just, why worry about all these things? We are living in a new world, let's adapt to it. >> I think I've, tongue-in-cheek I think about the show Silicon Valley and you guys didn't start out to build a box. >> No. >> No. >> You settled this off some problems and so what you have is a set of best of breed storage services that are running the cloud, called multi-cloud, meaning on-prem or in the cloud so I want to try to juxtapose that to sort of the traditional storage model or even some of these emerging storage models of some of the very successful companies. So, how do you guys differentiate, help us understand what's different about Datrium from the classical storage model and even some of these emerging storage models? >> I'll kick it off and Sazzala can expand on it. You know, first we're bringing a cloud experience to on-prem, so it's not a storage system that you, like a SAN. We, you know, offer compute as well and a way to make that whole operation simple around you know, standard and emerging standard coordination frameworks like VMware and Red Hat and Docker. It includes these really powerful data services to make life simple so you don't have to add on a lot of different control panes and spots of data storage and so on. By getting that right, it makes multi-cloud coordination a lot easier because the hardest problem getting started in that, aside from, you know, just doing SAS applications to run it and so on, is getting data back and forth. Making it efficient and cost effective to move it. So, you want to expand? >> Yeah, so you know, I think you give examples of like maybe there are some successful companies in the market today. There is old school array market and there's the new school head CI markets. So, the old school array market, I mean, if some people are still comfortable with that model, I think they just because the flash array market has some performance characteristics but still it's, again, going back to that rotary phone landing, it doesn't map your, the lands don't map your business. It's just a very old school way of thinking about it. Those will probably vanish at some point because it makes no sense to have them around. And yes, they do provide higher performance but they're still, you know, it's still not providing you that level of ideal service. From a developer point of view, I can make my application life easier, I can do things like test and dev. Test and dev, simple thing like test and dev requires you to clone your application so they can run test and dev on them. It's a very powerful use case, it's a very common use case for most companies, including ours. So, you can't do any of that stuff with that old school style of array. And the new school style, they are making progress in terms of making that developer life a little bit more easier but they haven't thought deeply about data services. Like they built a nice packaging and like some UI frameworks but ultimately, data needs to be like stable. They didn't, you think about data in a how do you make it compressed, efficient and cost effective and make it so that it is easy to move data around. And you're think about the backup and DR. Because if we look at application, you've run it, you have to back it up and you have to do archiving for it. You have to think up the entire lifecycle of it. Which is kind of what most people are not doing, thinking of the entire lifecycle. They're solving a small piece of the puzzle but not the entire thing. >> I'll give you another example of that. In you know, to the operator of a private cloud, you're thinking about workloads, you're thinking about relationships between VMs you know, how to get them to the right place, copy them at the right rate, secure them in the right way. In a sort of old style, that kind of thinking about say protection, you might have a catalog in a backup software but you have volumes of VMs in a SAN. Those are completely different mindsets, we've merged them. So we have a completely scalable catalog you know and detailed validation, verification information about every scrap of data on the system that we can test everything four times a day for test restores. All that kind of stuff is organically in a single user interface that's VM focused, so you don't have to think about these different mindsets. >> But it's SAS really for data services. >> For data services, yeah. >> I mean is that a fair way to think about this? >> Yeah, I think so because what's better than one click? Zero clicks, so lot of people are aiming for one click. We are aiming for zero clicks. That's actually a harder problem to do. It's actually hard to actually think about how do I automate everything so they have to do nothing? That's kind of where we have really, really tried hard is that, as little clicks as possible. Aim for zero as much as possible. That's our goal, in the internal company engineers are told you must aim for zero clicks, actually a harder problem. >> Right so, when you think about how to then expand that to managing multiple sort of availability zones across multiple clouds there are additional problems. But starting from these capabilities, starting from great indexing of data, great cataloging of relationships between things, everything's workload specific and great data mobility infrastructure with data reduction and encryption and so on. As we forecast where we can go with that, it's profound. You can start to imagine some context for how to deal with information across clouds and how to both run and protect it in a way that's really just never been in the market. >> So I want to talk about that vision but before we do, before we leave sort of the differences let's take two examples. Two very successful companies, Nutanix and Pure, so how are you different from, let's start with Nutanix, for example. >> I think that there's some good things, I think they're moved the industry forward quite a bit. I think they've brought some new ideas to the market, they made it VM-centric, they said no LUNs. They've made quite some improvements, and then they're a successful company, but ultimately I think their focus tends to be mostly on how to make the UI shiny and how to kind of think about the hypervisor, which is kind of where they're going to. They don't hypervise in the world today, we don't want to go invent another hypervisor. >> Mm-hmm. >> There are so many other options and the world is changing a lot. Like you said, Kubernetes is coming, Mesos is coming, so we want to adapt to those newer ways or style of doing it, and we don't want to invest in making or building a new hypervisor, and we're good partners with VMware, so that's one angle to it. If you look at, you know, how... Because if you're going to go to large enterprises, they want to consolidate the workloads. They want large scale, they want exabyte scale, so you meet customers now who have exabyte scale data, they think they're the cloud. They're not thinking of any other cloud, they think they're the cloud, so how do you make them successful? So, you have to think about exabyte scale systems where basically you can operate it as a cloud internally, so we build those kinds of infrastructures and those kinds of tools to make that exabyte scale successful, and we probably are the fastest system on the planet. Right, so that's kind of where we come from is that we not only say that we scale, we actually prove that we scale. It's not just enough to say we have Google style and the scale, so it's actually you have to prove it, so we actually have tests where we can, we actually have run with other people that it actually works as we say it does. So, I think it's important that you have to speak, you have to not only produce a product which is useful from a UI point of view, that's useful, but also it has to actually work at scale, and we make it more resilient. We have a lot of features built in to make it more resilient and at scale, like what does a tier one mean, what is mission critical apps, how do you make sure that we don't lose data, for example. It runs at the highest performance possible at a price which is reasonable. >> Okay, and I guess the other difference is you're a pure SAS model in that you're responsible for (chuckles) the data services, right, and-- >> Yeah, that's right. >> Yeah, we've pulled a lot more into the data services in our cloud approach. >> Mm-hmm. >> And we've separated from the performance elements, so they're these two layers, so it's both self-protecting in a way that's independently provisioned if you want to expand capacity for backup retention, that's a standard thing. If you want to expand performance or workloads you do that independently on stateless hosts. >> Mm-hmm. >> An example of where this pays off is just the resilience of the system. In a standard hyperconverged model a good case is like what's the crater size when a, or the risk, you know, profile when a single component fails. So, if a motherboard fails in a sort of hyperconverged model that's standard, you know, a single layer thing, then all the data on that system has to be rebuilt. That puts enormous pressure on the network, and you know, some of these systems can have 80, 160 terabytes of data on a single node, that's like a crazy week, and if two of them go down then the whole thing stops. In our model the hosts are stateless, if any number of them go down for any reason the data's still safe, separate-- >> Mm-hmm, right. >> You know, in a hyperconverged model you can't really integrate backup well because when primary goes down back up goes down, too, then what? >> Okay, so that's, I think, clear how you differentiate from hyperconverged. Did you have another-- >> Yeah, I have one more point, it's about the data services you mentioned. We have, again, going back to zero-click, we built all our features into the system. For example, you know, there are a lot things like deduplication, compression, image recording, those are like, I mean, they're not like details, but ultimately they do bring the cost down quite a bit, like by 10 X to five X, right, that's a big difference. >> So, those are services that are inherent. >> That are inherent in the system. >> Yeah, okay. >> Either you can have check boxes, you can say one click and have to like check box, all that. I mean, you have to go and click it, but to click it then you must read a manual, you must do the manual, so then what is this right click and what happens to me, why isn't not on by default. >> Yeah. >> So, those are the problems, I think the differences between them, I think Nutanix and us, is that we kind of made it all, like, be seamless and all built in. >> Yeah, and when we, you know, if you have to, if it's an option that you ask for later that means it probably has some impact on the system that you have to decide about. In our case you can't turn it off, it's always there and we do all our benchmarking with all that stuff turned on, including software-based encryption. It's just a standard thing, and we still are like the fastest thing on the planet. >> Yeah. >> And let's talk about Pure a little bit, because they don't have-- >> Yeah. >> The networking component and then the compute component, it's, you know, flash array, so how would you position relative to Pure? >> Okay, so again, going back to that SAN array was built before the internet, it is just the same. It is just the same, it's just to deport SSDs behind those controllers in central hard drives. It is likely faster, but ultimately the bottleneck is those controllers, those two controllers they have, that's what it is. No matter how many, how awesome your... You put envy in drive, it doesn't matter. It's going to be as much as speed as your network pipe is going to be, and as much faster as your controllers are going to be. Ultimately, the latency, you cannot, like, basically it's over the wire. It will always be slower than what kind of having... >> So, the big thing here is-- >> Yeah, and it's not a private cloud. You know, that kind of model is for someone who's assembling a lot of parts to create a cloud. >> Yep. >> You know, we're integrating these parts, so it's a much simpler deployment of a cloud experience and you're not integrating all these double parts. >> I'm getting a cloud, I'm buying a cloud experience from you guys with the sets of services, let's talk about those services. So, mobility, discovery, analytics. >> Yeah. >> Governance, talked about the... >> Encryption, yeah. >> The other data reduction services, encryption... >> Right, the cataloging and indexing of the data so you can, you know, restart from old data. >> And I can run this on any cloud, including my on-prem cloud, correct? >> Well, that's the direction, we have some parts now and you know, you... (laughs) Sorry, Sazzala can talk about where we're going. >> So, architecturally it's designed to run on... >> Yeah, because I think fundamentally we chose that design philosophy that it has to be two-layer, right, that's a fundamental decision we made long ago, and it's a detail but it's a fundamental decision we made long ago that because if you go to Amazon it is two-layer. You cannot make one-layer work there. Like, you know, compute and storage has to be split to through that part, but they must work together in a nice way, and also S3's very weird. I don't know if you know about S3. S3's very weird behavior, it does not like random writes, it has to be all sequential writes, and that also happens to be how we built it. The way our system works is that we only do sequential writes to any device. It works beautifully in S3 with EC2, so just to step back a little bit, taking big picture, like so, we wanted a cloud-like experience for your on-prem, right. That's kind of what we built, we built a Datrium cloud on-prem, and then we, as of beginning of this year, we started offering services, multi-cloud services and started with Amazon first. The first service we enabled was backup and archiving, that's our first service. A lot of people like it and you have some stats from that, like from last quarter, like how people like it, because people like it because you don't have to have another on-prem infrastructure. You can just consume it as a SAS model, it's very convenient and it's as easy as an iPhone backup. I don't know if you use iPhone backup, it's like a click. >> Yeah. >> Okay, unfortunately it's a click. We have tried to avoid the clicks, but we can't really avoid it all the way, so you have to click it so that you can then start doing backups into the cloud and then can retrieve them in a very simple single pane of glass. It's very cost-effective because we do dedupe on the cloud and we dedupe over the wire, but dedupe over the wire, by the way, it's actually a very unique feature. Not many companies have it, like Nutanix and Pure you mentioned, they don't have it, so you know, so that's one of the things where I think we differentiate because data has gravity, right, so to move it somewhere you need an antigravity device. So, you need something to actually move this data faster, how to defeat speed of light. You have a pipe, you have a VAN network, so how do you defeat the speed of light, so what we have built is a feature, it's called Global Dedupe, is that you can move data in a much more efficient way across the cloud. So, now you may question, "Hey, I'm moving my data "from here to another place," obviously we have these cloud services... The question you may ask is, "Okay, how do "I know I get guaranteed security? "How do I know that it's going to be correct, "that I moved all these places," right? So, we do multiple things, one is that we have built in encryption. It's going to be globally encrypted, it's like an encryption across the whole thing, we call it blanket encryption. >> Mm-hmm. >> The other one is that we have blockchain-like features that are built into the systems so that if you move an object, like an app or whatever, you're going to move from one place to the other, it's built in kind of blockchain features where you cannot move something to another place and get it wrong. It's fundamentally going to be correct for you, so those are the kind of things we thought about, like never to worry about it again. It's going to guarantee the data's correct and it's moved in the most efficient way, so that's our first landing thing we've done is that we wanted to build an experience which is like on-prem cloud, I mean, onto also the cloud. Right, what other experience people are... People like simplicity, people want the SAS-like experience. They don't want to manage it, they don't want to think about it. They just consume the services, so the first service we have in Amazon is what we chose, is backup and DR. The next thing we are going to be shipping soon, announcing soon, and we'll have a demo in the VM World is something we call Cloud Shift. It's an app mobility orchestration framework where you can just click and move your workload to somewhere else, to Amazon, and you can run, so it's not just a backup thing, it'll also become you can run your workloads in Amazon and get a consistent experience from your on-prem and the cloud. So, one of the challenges is that if you move to another place, is it different tool sets, I have to change my whole lifestyle, no. >> Mm-hmm. >> We want to provide that seamless operational consistency that-- >> That's the key, right. >> That's the key. >> Whether it's on-prem or it's in the cloud it operates the same way. I'm accessing those sets of data services and-- >> Yeah. >> I don't really care where it is, is that-- >> That's right. >> The vision? >> Yeah, that's right. >> Exactly. >> That's right, so if it turns out that there's a cost advantage in moving from, you know, A to B, we make it super easy and the control panel from our standpoint is consistent, and it's... So, all of our control orientation moving forward will literally be SAS. It'll be running on a cloud even if you're managing on-prem stuff, because that way, assuming you're multi-cloud, you need a control plane to be dealing with the cloud stuff anyway, and it just sort of neutralizes the experience so that in a multi-cloud way it's always consistent, it's always simple, and the nice thing about sort of true SAS is you don't have to upgrade software parts. We do that for you in the background. >> Mm-hmm. >> So, it's just always up to date. >> So, I was saying before, Datrium takes care of everything. >> Yeah. >> And it's the true cloud experience. >> Just consume it. >> Right. >> Okay, I want to talk about, end on the two other areas: the operational impact and the developer impact. So, when you think of operations, we've talked about LUNs before. I've always said if you're in the business of managing LUNs you really want to think about, you know, updating your skill sets (chuckles) because that capability is not really going to be viewed as valuable. It isn't today and certainly in the future, so the operational impact, the degrees of automation that IT operations are driving is going through the roof. Cloud-like, we've talked about that, and the other is developer productivity. People are using containers, you know, Kubernetes... >> Yeah. >> And new styles of writing software-- >> Yeah. >> As everybody becomes a software company. So, can you talk about those two aspects? >> And ultimately there's going to be serverless. >> Right. >> Right. >> As we think about if you take a leap, in another 10 years I think serverless will probably be one of the important ways, because why do you even care how it runs. You just write some software and like, you know, we can run it. It should be that way, but I think we're not there completely yet, I think, so we want to adopt a methodology where we provide the framework where we don't dictate what apps, how we write your apps. That's, I think, very powerful because that's actually evolving faster as we move forward, because serverless is a new app framework. >> Mm-hmm. >> You cannot anticipate this, right, you cannot anticipate on building everything but what you can anticipate is services we can provide for the developers, which is, you know, no matter... Because it's the granularity of it. We can map their application granularity into our system, we have that fine level granularity, so that kind of was what you want to provide as a primitive. LUNs don't have that primitive, right, so we provide that level of primitive that whatever apps you have will have that level of primitives to global data services for you, and once you have the data services like that we'll guarantee that it's highest performance, which is what app developers want. Like, I get the highest performance, I can easily... And then we will also provide a way to clone those things easily, those apps, because sometimes you're at an app, you want to test it, too. Like a hundred times, you want to just... If you can copy all the data a hundred times or you can just, say, you know what, clone this thing a hundred times in a millisecond and run my tests fast and then okay, I'm done with my test, it looks good, I'll deploy it. >> Mm-hmm. >> That's kind of what developers really want is that they are able to run, write faster, develop faster, because tests on dev cycles are important. A lot of people think that hey, I can put my test on dev in some old box over there, but that's really bad because from business perspective testing does, engineering's expensive. Their test cycles have to be fast so that they can e-trade faster and kind of produce faster. The harder you make it to test your system, this is like, this is what happens in our company today. The harder it is to test your logic and your code, the longer it takes to, like, do e-trade. >> In some ways test and dev is becoming more strategic than the production system, I mean, really-- >> Well, it-- >> (chuckles) Because of speed. >> Yeah, I mean, it can take immediate advantage of some of these improvements in, you know, stacks. Like if, you know, if Kubernetes is better just, you know, go quickly to it. The things that these new stacks assume, though, is that it's, you know, a server-based data, so on-site you can accelerate mobility significantly by, you know, when people ask to copy things from here to there, clone it, you know, start another instance, we can help them do that by just, you know, faking it out with metadata-- >> Mm-hmm. >> And deduplication, and so we tried this with Jenkins just in our own development, moved to that model and you know, everything was suddenly twice as fast in development. To do a build all of a sudden you didn't have to copy data here to there. You were cloning, you know, with metadata. The way to do it across clouds is, again, kind of dedupe focused. If you have to actually move the data it takes a long time and it's expensive, especially for egress costs. If you can just, you know, validate which elements of the data are new versus old on either site you can move a lot less. >> Hmm... >> It might be, you know, six times less, and then the costs go down, the speed goes up, you defeat data gravity. >> Yeah, so-- >> Excellent, all right, we have to leave it there. >> Okay. >> Out of time, thanks so much, you guys, for helping us better understand, you know, Datrium. Congratulations on your success so far and all the great innovations that you've achieved. >> Okay, thank you. >> Okay, thanks for watching, everybody, this special CUBE conversation. This is Dave Vellante, see you next time. (techy music)
SUMMARY :
so gentlemen, great to see you again, thanks for coming on. and I remember, you know, trying to get out of you and to do that, you know, ultimately it becomes so if you think back to the original sort of to you know, grow my business? about Datrium is you know, the simplicity, like open. Specifically in terms of the problems So if you look at the V block, backups and some other you know, Right, in the cloud you don't think of you get backup and data protection, you know, with great performance that you know is off the charts. you think about multi-cloud behavior. and everybody's watching you when you're restoring. the show Silicon Valley and you guys what you have is a set of best of breed to make life simple so you don't have to Yeah, so you know, I think you give so you don't have to think about these different mindsets. engineers are told you must aim for Right so, when you think about how to and Pure, so how are you different from, and how to kind of think about the hypervisor, and the scale, so it's actually you have to prove it, the data services in our cloud approach. if you want to expand capacity for backup and you know, some of these systems can have 80, Did you have another-- the data services you mentioned. but to click it then you must read a manual, and us, is that we kind of made it all, on the system that you have to decide about. Ultimately, the latency, you cannot, Yeah, and it's not a private cloud. and you're not integrating all these double parts. from you guys with the sets of services, so you can, you know, restart from old data. some parts now and you know, you... (laughs) and that also happens to be how we built it. so to move it somewhere you need an antigravity device. So, one of the challenges is that if you move the cloud it operates the same way. you know, A to B, we make it super easy you know, updating your skill sets So, can you talk about those two aspects? and like, you know, we can run it. for the developers, which is, you know, no matter... The harder you make it to test your system, from here to there, clone it, you know, moved to that model and you know, It might be, you know, six times less, for helping us better understand, you know, Datrium. This is Dave Vellante, see you next time.
SENTIMENT ANALYSIS :
ENTITIES
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Russ Rodrigue, Cianbro | WTG Transform 2018
from Boston Massachusetts it's the cube covering wtg transform 2018 brought to you by Winslow technology group I'm Stu minimun and you're watching the Q's coverage of wtg transform 2018 happy to welcome to the program got a CIO in the house Russ Roderick who is the with chin bro that's correct how you doing to be here excellent so third year for yourself at the show first first impressions at the show what brings you back yeah third year I've really enjoyed it each of previous years I skipped a year last year travel related issue but I think the layout I like the naming convention change I like everything about it I think this is an excellent program that technology excellent they felt pity on me when they did the name change if you heard because saying the whole user group Dell EMC winslet Technology Group was a bit of a tongue twister but that's you know first world problems so Russ wrote for people that don't know tell us a little bit about chin bro yeah so Tim bro is a construction company headquartered in Pittsfield Maine we're nationwide where we do our projects we're in numerous markets from building infrastructure oil gas chemical industrial manufacturing we have a lot of projects done every year in the hundreds range and we were a little under a billion dollars got about 2,500 team members across the country okay and is the CIO you know how BIG's your team how many locations do you manage and you know tell us yeah let's go there for sure yes so I have 30 person team we have everything from application development to help desk to data analytics business intelligence teams I have infrastructure organization I have field support business analysts and we're a full-service organization all right so restless first start with with chin bro would you know what are some of the biggest challenges you're facing into business what does that term digital transformation resonate with with with your world it does the construction industry is very interesting it's a low margin industry right and so as a result of that we're always always looking to save money we're always looking to be lean we have a major initiative in the company around lean transformation some of that is digital related you know getting off of paper moving into paper forms into electronic forms and then not having to touch the data too many times so we have been moving too for quite a few years now so it's not new to the organization but it is a big challenge okay so absolutely we see that a lot what is the role of IT to the business these days so we have gone from being the elevator music as I like to call it like we're in the background you know we're kind of there to a strategic partner and I've reported from finance and I've moved to into the up to the CFO from CFO excuse me into the CEO role and it's been a great challenge there's some other organizational changes that we're looking at but we're no longer that background music we're very strategic in what we do we actually run several committees for the company looking at project prioritization workflow prioritizations and helping the organization to build an application roadmap new strategy yeah I love that I mean when you talk to us organizationally it says a lot you know under the CFO your call center we are moving under the CEO your strategic to the business right all right you talked about application so let's go there first because that's you know that application modernization is big challenge when I talk about modernization I always say you know application is a long pole in the tabs so what what does that mean to you what what kind of transformations are you going through inside yeah again our industry is dealing with a lot of fragmented software and it's a it's a problem a lot of industries face but ours I feel is we're on the very tail end of the industries that have moved to digital that have moved to modernization of our apps a lot of our products are on-premise our ERP system we've been on for 20 years for example and they've they've modernized we're getting it to mobile our imaging and workflow systems are starting to get more modernized but they're their legacy products and it's difficult when you have to deal with infrastructure that we have in the construction world we don't always have connectivity so we have to have a lot of offline we do all work with Citrix and it can be very problematic yeah you've been doing with the issues that we talked about with edge computing and IOT is you know something you've been living with for years right absolutely so IOT is one of those transformational pieces for us as well you know we have a lot of equipment that's one of the parts of our business you know 25,000 pieces of gear and heavy iron and we don't have a really good solution in place today that we're monitor all of the the meters and the performance and the of those devices so we're looking to IOT to help us get a better picture of that at an aggregate data level okay so I love we started up the stack with the applications let's come down a little bit tell us about your infrastructure what what are you using today how long you been using it for Winslow's in in the mix there's o windows absolutely in the next Dave we've moved from the traditional data center I had a lot of servers and racks and and moved to a V block and the X block with the X rail and our disaster recovery center out in Chicago and we did that because we had you know all the traditional problems of maintenance and and patching and licensing and everything and we never really had to deal with any of the power and heat and energy problems were up in Maine so we don't we're not an issue with cooling but that was a challenge for us having to manage all that stuff so we worked with Winslow and Dell EMC to figure out how do we get into the hyper converge to move away from all those server for administration and management and we did that project a little over a year ago implemented a little year ago and we've seen tremendous opportunities and for how we how we provision equipment and how we manage that need for the applications you know standing up new environments virtualizations really helped us do yeah so did you roll up the VX block and the VX rail together or the were those two sever they were slightly delayed so we did the X block first and then a few months later we did the the VX ray okay so the V block and the VX block after it been around for a number of years that you know 8 10 years at this point VX rails a little bit newer there's some people out there that are like oh wait HCI takes over the whole market tell us why each of those solutions and you know what was it an application price thing what what how did that go yeah we looked at it wasn't necessarily that we were in you know any position where you had to have this massive return on our investment right we built our business case around disaster recovery we our data center our primary or secondary were in the same town you know so we had all those elements of disaster recovery that were a problem for us so when we looked at the solution we wanted to be able to replicate our data more effectively get away from the traditional tape backup models and really help provision the equipment as quickly as we could in the event of you know a disaster and get ourselves recovered business continuity wise so it was a financial decision obviously that we had that we had thing had to pay for itself in which it did but we didn't spend a lot of time really kind of honing in on it has to be an ROI and a payback it was it was really about performance and disaster so is the VIX Bach in the primary and the BX rail and the secondary correct okay really cool on any you know what would you sell your peers is you after you've rolled us out any learnings that you had or the things that you'd go back and you know adjuster tweak no actually we had a really incredible experience working with with Winslow they were able to help us work through all of our any of our production issues very quickly we did replication through zurdo so that's moving our data very efficiently and my my IT team feels very confident that should and we're doing a test later this year but should we have a production incident we'd be able to recover lessons learned you know I think it's it's more about planning your work you know making sure that you've got your activities planned and that you're looking at the operational performance of the applications great all right Russ last question I have for you as a CIO how things been changing yeah you've been in the role for seven years you've moved inside the organization what are some of the things that are changing and some of the things that aren't yeah so the CIO role I believe personally is really kind of gearing towards more of a strategic element you know being part of that business making sure that we're not just providing those generic services of you know ping power and pipe right we're there for the business to understand what their business processes are all about and how they run their workflows and use their applications on a daily basis most of my conversations with my vice-president peers and and business leaders isn't around the technology that's being used yeah they're interested in iPhones and tablet devices but they're really geared at how do I help them solve their business problems and that's where IT is really evolving and the CIO role is doing a lot of that it wraps around that you know the teams you have around you and the strategic elements of the organization and just to follow up on that to do the SAS applications that your business using following under you is there any public cloud in there - what we do we have we have a hybrid cloud solution so we do a lot of on-premise solutions but we have several cloud and they're they're growing as needed but we have a business model that basically says let's look at our infrastructure internally first as a as an employee-owned private company we tend to gravitate towards keeping in-house but we have several business solutions that are in the cloud that are providing value all right well rust pleasure to meet you take so much for you to us and Congrats on everything that Kimbrough is done thank you very much back with lots more coverage here at wtt transform 2018 I'm Stu minimun and thanks so much for watching the Q [Music]
**Summary and Sentiment Analysis are not been shown because of improper transcript**
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Sunil Potti, Nutanix | .NEXT Conference EU 2017
>> Narrator: Live from Nice, France, it's theCUBE, covering .NEXT Conference 2017 Europe, brought to you by Nutanix. (upbeat music) >> Welcome back. I'm Stu Miniman and you're watching theCUBE's live coverage of Nutanix .NEXT here in Nice. Happy to welcome back to the program Sunil Potti. Fresh off the keynote here, 2200 in attendance here at the second annual European show. Sunil is the chief product and development officer, and Sunil, your team's been busy. >> Yes. >> Product development-- >> Sunil: I hope so. >> 5.5, ton of new features in development, a lot of things going on. So let's step back for a second though, and it's a year after the IPO, I watched The Wall Street guys, they're always like, "Wait, are they boxes, or are they software, "are they infrastructure, are they cloud?" You know, you kind of step back, it's, I liked it, it was, "simplicity takes real genius," and then you're like, to try to appeal to the European cloud, it was "more tea, less clicks." So what's the kind of, as people think of Nutanix, when do we think of you, why do we think of you? >> Gotcha, gotcha. Yeah, I think there's a bunch of moving parts there, but I think our core thesis hasn't changed from where it was pre-IPO, post-IPO, multiple conferences. I think the core thesis as you know, Stu, is that we fundamentally think folks talk about hybrid cloud. Hybrid cloud, the first step is we know public clouds exist, true private clouds haven't been built yet. And they have to be first standardized, commoditized, and then harmonized with the public clouds, right? So I think, from our perspective, the core thesis is the fact that, if you can bottle up the AWS or GCP experience and funnel it inside the data center, there'll be a ton of workloads that stay inside. But with the right experience, for the right cost, right? >> Yeah. >> And essentially, that journey hasn't wavered from our perspective, right? So we're still on that. >> Yeah, absolutely, at Wikibon, we said, you know, cloud isn't a destination, it's really more of an operational model. >> Sunil: Sure, sure. >> So, if we can capture that, as you say, true private cloud, we said, we're starting to get there, and we actually credit Nutanix. So you know, of course, the messaging of enterprise cloud was probably a little bit aspirational-- >> Sure, sure. >> At the beginning, but you're filling in the pieces, you've got the partnerships, you've got the products rolling out, so, let's talk about your bread and butter. You know, what's new, what's launching now, I like that you're as a software company, you show a little bit more. Here's when we test some things out, it's that balance of, for the enterprise it's like, "Wait, is this going to work the way I think it is?" You put stuff out like the community edition first, let people play with it and then you GA it-- >> I think we talked a little bit about it and essentially, rather than me list out a whole series of functionality, I think the way we are also looking at it as well as building it, as well as rolling it out is in the form of what a customer can consume. So we are investing at Nutanix, like, capabilities that cross the life cycle, right? So we're investing and ensuring that communication gets a lot more emphasis because we think this paradigm of one-click data centers is something that people need the ubiquity to kind of play around with, right? So you see community relation from a learning side, then we're looking for capabilities for people to actually say and compare, "Look, Nutanix is one architecture, "we experienced another architecture, "three tiers in other architecture, "maybe public cloud." At some point in time people need the flexibility to actually have in the old world of TPC benchmarks the new world of what I would call production world benchmarks so we had a whole bunch of tools such as X-Ray coming out, then rather than leave it to professional services and so forth, rather than just worry about reducing the number of clicks once you have Nutanix, even before you get to Nutanix, how do you reduce the number of clicks? You get to Nutanix, right? That's where Xtract, which is a very popular tool from us again, that has been shipping for a month, for now, where you can actually click at a certain VM environment, at a certain database environment, and essentially, literally, without a whole bunch of lift and shift move into a private cloud environment, right? >> And my understanding, Xtract is, I could take my VMs really from VM environment to an AHV environment-- >> That's correct. And it also works on databases as well, like SQL databases, and so forth, right? >> Yeah, absolutely, that migration is something that, you know, it's like a four letter word for most people in IT. One of the things that we were early on kind of beating the drum on, is traditional three-tier architecture with the storage, your migration cost was at least 30% of the total cost of ownership because you had to bring data on, eventually you had to take data off, as opposed to, if you really have more like a pool, which is what HCI does, you know, that first, once I get on to it, that's the last time you need to do a migration because now I can move and add, remove, it knows, and we just kind of manage it there. Absolutely the other company I hear talking a lot about this thing is Amazon. You know, they've been working on database migration lots of companies, changing away their environment, and it's something that customers are looking for. >> Yeah, and it's almost like, for us with the public cloud at least you have a genuine sort of big hop in lift and shift, just because of the boundaries. It's a shame if we can't solve that problem without what we call make lift and shift invisible inside the data center at least so that's why we invest in things like Xtract so that people can, look, we're still less than one percent of the market so we expect a whole lot of migration to happen over the next few years. So anything that we can do to kind of accelerate customers to the point of ensuring that their architectural integrity is preserved in terms of environment I think it's a big focus for us. So you're going to see as emphasize Xtract not just for there for VM's or databases to Nutanix on pRAM. We're also going to see that as a fundamental construct for app mobility because imagine Calm as a construct that you're able to go in, proficient work loads and it's on pRAM or off pRAM but at some point in time you want to move them back and forth. You know the thing that we used to always say? "App mobility is slowly coming to fruition "with some of these constructs." >> Calms is the centerpiece of really your multi-cloud strategy. We've talked to some customers that some of the early folks pretty excited about it. A lot of the others have been like, "Okay, well, I've seen some slides and a demo," kind of squinting, looking at it. Reminds me of the early days, "I bet it can't really "do what they say it does." >> I think they have to taste the wine, just like everything else. There were a bunch of early believers who saw the product, who used the product, which we used as an early access program. But we took a step back when we acquired Calm a year ago, we had the choice of releasing a reasonably big product to mainstream. It's been seven years building our product, they had rewritten it two times. So they had already done a rewrite or two. What we took was, we took the time to ensure that it was burned into the Nutanix fabric. It had to fit into a Prism, it had to fit into a life cycle manager, it had to fit into a one-click update. It needs to look and feel like a natural extension versus a power-sucking alien, which is what we've seen with many of our competitor's products where you just buy some things and you put it in there and the more successful it is, the harder it is to homogenize. So we took our time, and that's what you're going to see in 5.5, customers can now actually genuinely use the product. And day one it'll have AHV support, AWS support, very quickly it'll have ESX, and GCP and Azure and it's a separate code train by the way, in a sense that the same code-base but it's being delivered as a service and you're going to see more and more of that paradigm where Nutanix is no longer going to be this blob of capabilities that in itself comes out fast but there's a bunch of microservices now that are going to be released. Not just on the cloud, but also on pRAM. So AFS is a good example, Xtract is a good example, Calm is a good example and now with 5.5 even Prism Central is going to be detached so that you can consume that at a different velocity than the code. >> How do you make sure that you balance that with the simplicity that really is the core piece of your business proposition? >> Yeah, yeah. I mean I think this is where we just have to be measured in ensuring that it's still one single code-base for example. What we want, we can't afford to have 18 different branches. So simple things like that will actually go a long way to make sure that somebody can still go to a console and say upgrade, it checks the right provisions. It's a little bit invisible, sort of like version mismatch of that is our problem, not a customer problem. >> Absolutely, so a lot in 5.5, which we haven't touched there but also really unveiling some of the next step in the journey, what you're working on for the next six months. What's the focus there, ya know cloud is, I think you talked about visible infrastructure to invisible cloud so looks like kind of expanding out and building out some of those cloud services. Take us through some of that. >> So I think the general theme is continue to fulfill our ambition around making infrastructure more invisible and then at the same time in parallel try to make clouds invisible and I'll break it down into three kinds of products. The first one is, we still have our journey, our things cut out to actually fulfill what I would call the A block, the Amazon block for the enterprise, and you can call it the Azure block or you can call it the Alphabet block now that we support multiple clouds. The point being that simple things suggest, we've done a great job of computer storage and virtualization. What about networking? And we've always said look, the problem is not in the data plane not working, top of the ax switches are pretty commodity, they work, you name it. The issue is always in the control plane, when something goes wrong, what are doing wrong, so that's one of the big things coming in 5.5 is built in network virtualization, provisioning, and one-click micro segmentation. And again the point being rather than buy very expensive products such as NSX or some other overlay products where you're virtualizing the network to secure the network. If you go to Amazon, or you go to Google, or you go to Azure not only do they not require to virtualize, the way that micro segmentation is built is genuinely with the simplicity of one click. You take out 10 VM's, put them in a secular group you're off to the races right? And the same paradigm then basically moves to us so in that vein of fulfilling that stack is one dimension. And a couple of key things that are new there that are in the next six months timeframe, not in the 5.5, the fact that when everything's said and done we've got a file service, we've got blocks, we've got containers, everything else, but what about object storage? Sounds obvious, right? So we've taken our time to kind of build a next generation object storage service, not a first generation one that can scale obviously to the levels of webscale that these days customers want, but is deployed with gentle requirements. An example of a gentle requirement is, you can't build an object story service that is simply on pRAM or simply off pRAM anymore. It has to be hybrid from day one. My primary needs to be data locality quote unquote to be invisible under the cover so my primary stuff is closer to my compute whereas my secondary and backup can be pulled out into the cloud. And the same thing applies on, even something much more simpler, which is EC2. What about EC2 for the enterprise? And that's where I think we were inspired to actually go build us Acropolis Compute Cloud, AC2, which essentially says you can take my Nutanix class, computer storage, and all of that, but then only have compute only nodes, and you could have SAB, SK lab requirements, you could have IBM power, you could have Oracle running on those, but they are essentially being managed with that single pane of glass. So this is the first time that you're seeing, based on a customer demand, now EH3 is now almost one of the three nodes being shipped is an EH3 node. We've come a long way in the last two years right? So people covet that simple virtualization, especially if we can, we extend it from a computer only fabric to the hyper-con only fabric. So I think that's one dimension-- >> It's interesting, just happenstance, that in the news recently, Amazon just announced that they're switching from Zen to KVM base so similar. Come on, you couldn't get Amazon to just sign on for AHV? >> No, see I think see what it is is that frankly AHV from our perspective was all about just ruggedizing KVM right, make it storage, Iops work well, the management plan work well, in fact, the fact that AWS is doing that is actually a good sign for us to go deeper with them frankly just as a tangent, rather than just go deeper with say Zi or GCP and so forth just natively as well now with C-fi instances there's an opportunity for Nutanix fabric to kind of seamlessly leverage that because the core constructs are similar with KBM right? So you're going to see some interesting stuff come up there, maybe that's for the next CUBE, the next conference. >> Sunill, it's interesting I've had a chance to talk to a few customers already and we talk about kind of that cloud, everything from the Germans that well I've got governance and compliance and I'm not not doing public cloud to, you've got a customer speaking today in a session that's like "I'm going to do "everything SAS and what I can't do SAS "I'll do infrastructure service," and then there's a little bit of stuff I can't do because I don't have enough network or things like that, and that's when Nutanix fit in for me. Making products and dealing with customers on such a broad spectrum is a little challenging and trying to fit where Nutanix is on that cloud because right if they're buying SAS from a lot of pieces it's like well you're not going to be as critical as opposed to somebody that's like well hey my data center is really my temple and you can help there so-- >> Yeah I think the philosophy that we use in terms of our product strategy and roadmap there is to maybe just give some color on it is it's the curse of the platform. The wealth of the platform which is like we are a platform company and we've internalized that, we're not a simple product company, so a lot of this comes down to what do we not do as well right which is versus what we just do. And one simple filter that we use is, is it directionally in a secular motion for enterprises or not. So a simple example is look, a lot of customers, and we would have probably quite a bit of sales if we simply said look I can take my existing Nutanix class serve, I just bought a three part array, I've bought a narat box, why don't you guys just co-exist with that. But then if you really think about it, it's like AWS coming to you and saying, "Oh by the way, take my service environment, "put my AWS software on it." It's like Apple coming out and saying, "Here's iOS, "I want it on Blackberry." So one click upgrades won't work, it's not the right thing. So there are things like that that we stayed away from that allows us to, even if we are stretched, lean in on the forward looking circular motions such as first, continue to finish the job inside, then harmonize inside and outside, and then go provide specialized services like Zi, in addition to what we're doing with DCP or Amazon, and others. >> Alright, last question I have for you, what's exciting you in the marketplace today, getting your engineers kind of fired up as kind of this next wave? >> Yeah I think look, I think some of the biggest thing is around how apps are now being re-platformed themselves, not just infrastructure and people used to word pass and all that other stuff but essentially I think we are now getting into the golden era, or the initial golden era where IAS re-platforming is more or less known. Now, of course it's going to take you five, 10 years to do it, but I don't think people are debating the way to do that. It's no longer open stack inside, it's no longer hosted clouds and all that crap right? It's two clouds, right? I think that wave has to emerge on the application side as well, you're starting to see some of that with communities, now becoming a defacto for one sliver of it, but there's so many other services that are up for grabs. So I think you're going to see in the next 12 to 18 months and you're obviously going to see Nutanix play a role there, is what does it mean to not hybridize my data center but what does it mean to hybridize my app. And I think there's a lot of interesting opportunity, interesting inspirational stuff there from an innovation perspective that keeps our guys going. >> Absolutely well Sunil, always a pleasure to chat with you, look forward to catching up with you at the next time and we'll be back with lots more coverage here from the Nutanix .NEXT conference in Nice, France. I'm Stu Miniman, you're watching theCUBE.
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Wikibon Conversation with John Furrier and George Gilbert
(upbeat electronic music) >> Hello, everyone. Welcome to the Cube Studios in Palo Alto, California. I'm John Furrier, the co-host of the Cube and co-founder of SiliconANGLE Media Inc. I'm here with George Gilbert for a Wikibon conversation on the state of the big data. George Gilbert is the analyst at Wikibon covering big data. George, great to see you. Looking good. (laughing) >> Good to see you, John. >> So George, you're obviously covering big data. Everyone knows you. You always ask the tough questions, you're always drilling down, going under the hood, and really inspecting all the trends, and also looking at the technology. What are you working on these days as the big data analyst? What's the hot thing that you're covering? >> OK, so, what's really interesting is we've got this emerging class of applications. The name that we've used so far is modern operational analytic applications. Operational in the sense that they help drive business operations, but analytical in the sense that the analytics either inform or drive transactions, or anticipate and inform interactions with people. That's the core of this class of apps. And then there are some sort of big challenges that customers are having in trying to build, and deploy, and operate these things. That's what I want to go through. >> George, you know, this is a great piece. I can't wait to (mumbling) some of these questions and ask you some pointed questions. But I would agree with you that to me, the number one thing I see customers either fumbling with or accelerating value with is how to operationalize some of the data in a way that they've never done it before. So you start to see disciplines come together. You're starting to see people with a notion of digital business being something that's not a department, it's not a marketing department. Data is everywhere, it's horizontally scalable, and the smart executives are really looking at new operational tactics to do that. With that, let me kick off the first question to you. People are trying to balance the cloud, On Premise, and The Edge, OK. And that's classic, you're seeing that now. I've got a data center, I have to go to the cloud, a hybrid cloud. And now the edge of the network. We were just taking about Block Chain today, there's this huge problem. They've got the balance that, but they've got to balance it versus leveraging specialized services. How do you respond to that? What is your reaction? What is your presentation? >> OK, so let's turn it into something really concrete that everyone can relate to, and then I'll generalize it. The concrete version is for a number of years, everyone associated Hadoop with big data. And Hadoop, you tried to stand up on a cluster on your own premises, for the most part. It was on had EMR, but sort of the big company activity outside, even including the big tech companies was stand up a Hadoop cluster as a pilot and start building a data lake. Then see what you could do with sort of huge amounts of data that you couldn't normally sort of collect and analyze. The operational challenges of standing up that sort of cluster was rather overwhelming, and I'll explain that later, so sort of park that thought. Because of that complexity, more and more customers, all but the most sophisticated, are saying we need a cloud strategy for that. But once you start taking Hadoop into the cloud, the components of this big data analytic system, you have tons more alternatives. So whereas in Cloudera's version of Hadoop you had Impala as your MPP sequel database. On Amazon, you've got Amazon Redshift, you've got Snowflake, you've got dozens up MPP sequel databases. And so the whole playing field shifts. And not only that, Amazon has instrumented their, in that particular case, their application, to be more of a more managed service, so there's a whole lot less for admins to do. And you take that on sort of, if you look at the slides, you take every step in that pipeline. And when you put it on a different cloud, it's got different competitors. And even if you take the same step in a pipeline, let's say Spark on HDFS to do your ETL, and your analysis, and your shaping of data, and even some of the machine learning, you put that on Azure and on Amazon, it's actually on different storage foundation. So even if you're using the same component, it's different. There's a lot of complexity and a lot of trade off that you got to make. >> Is that a problem for customers? >> Yes, because all of a sudden, they have to evaluate what those trade offs are. They have to evaluate the trade off between specialization. Do I use the best to breed thing on one platform. And if I do, it's not compatible with what I might be running on prem. >> That'll slow a lot of things down. I can tell you right now, people want to have the same code base on all environments, and then just have the same seamless operational role. OK, that's a great point, George. Thanks for sharing that. The second point here is harmonizing and simplifying management across hybrid clouds. Again, back to your point. You set that up beautifully. Great example, open source innovation hits a roadblock. And the roadblock is incompatible components in multiple clouds. That's a problem. It's a management nightmare. How do harmonization about hybrid cloud work? >> You couldn't have asked it better. Let me put it up in terms of an X Y chart where on the x-axis, you have the components of an analytic pipeline. Ingest, process, analyze, predict, serve. But then on the y-axis, this is for an admin, not a developer. These are just some of the tasks they have to worry about. Data governance, performance monitoring, scheduling and orchestration, availability and recovery, that whole list. Now, if you have a different product for each step in that pipeline, and each product has a different way of handling all those admin tasks, you're basically taking all the unique activities on the y-axis, multiplying it by all the unique products on the x-axis, and you have overwhelming complexity, even if these are managed services on the cloud. Here now you've got several trade offs. Do I use the specialized products that you would call best to breed? Do I try and do end to end integration so I get simplification across the pipeline? Or do I use products that I had on-prem, like you were saying, so that I have seamless compatibility? Or do I use the cloud vendors? That's a tough trade off. There's another similar one for developers. Again, on the y-axis, for all the things that a developer would have to deal with, not all of them, just a sample. The data model and the data itself, how to address it, the programing model, the persistence. So on that y-axis, you multiply all those different things you have to master for each product. And then on the x-axis, all the different products and the pipeline. And you have that same trade off, again. >> Complexity is off the charts. >> Right. And you can trade end to end integration to simplify the complexity, but we don't really have products that are fully fleshed out and mature that stretch from one end of the pipeline to the other, so that's a challenge. Alright. Let's talk about another way of looking at management. This was looking at the administrators and the developers. Now, we're getting better and better software for monitoring performance and operations, and trying to diagnose root cause when something goes wrong and then remediate it. There's two real approaches. One is you go really deep, but on a narrow part of your application and infrastructure landscape. And that narrow part might be, you know, your analytic pipeline, your big data. The broad approach is to get end to end visibility across Edge with your IOT devices, across on-prem, perhaps even across multiple clouds. That's the breadth approach, end to end visibility. Now, there's a trade off here too as in all technology choices. When you go deep, you have bounded visibility, but that bounded visibility allows you to understand exactly what is in that set of services, how they fit together, how they work. Because the vendor, knowing that they're only giving you management of your big data pipeline, they can train their models, their machine learning models, so that whenever something goes wrong, they know exactly what caused it and they can filter out all the false positives, the scattered errors that can confuse administrators. Whereas if you want breadth, you want to see end to end your entire landscape so that you can do capacity planning and see if there was an error way upstream, something might be triggered way downstream or a bunch of things downstream. So the best way to understand this is how much knowledge do you have of all the pieces work together, and how much knowledge you have of all the pieces, the software pieces fit together. >> This is actually an interesting point. So if I kind of connect the dots for you here is the bounded root cause analysis that we see a lot of machine learning, that's where the automation is. >> George: Yeah. >> The unbounded, the breadth, that's where the data volume is. But they can work together, that's what you're saying. >> Yes. And actually, I hadn't even got to that, so thanks for taking it out. >> John: Did I jump ahead on that one? (laughing) >> No, no, you teed it out. (laughing) Because ultimately-- >> Well a lot of people want to know where it's going to be automated away. All the undifferentiated labored and scale can be automated. >> Well, when you talk about them working together. So for the deep depth first, there's a small company called Unravel Data that sort of modeled eight million jobs or workloads of big data workloads from high tech companies, so they know how all that fits together and they can tell you when something goes wrong exactly what goes wrong and how to remediate it. So take something like Rocana or Splunk, they look end to end. The interesting thing that you brought up is at some point, that end to end product is going to be like a data warehouse and the depth products are going to sit on top of it. So you'll have all the contextual data of your end to end landscape, but you'll have the deep knowledge of how things work and what goes wrong sitting on it. >> So just before we jump to the machine learning question which I want to ask you, what you're saying is the industry is evolving to almost looking like a data warehouse model, but in a completely different way. >> Yeah. Think of it as, another cue. (laughing) >> John: That's what I do, George. I help you out with the cues. (laughing) No, but I mean the data warehouse, everyone knows what that was. A huge industry, created a lot of value, but then the world got rocked by unstructured data. And then their bounded, if you will, view has got democratized. So creative destruction happened which is another word for new entrants came in and incumbents got rattled. But now it's kind of going back to what looks like a data warheouse, but it's completely distributed around. >> Yes. And I was going to do one of my movie references, but-- >> No, don't do it. Save us the judge. >> If you look at this starting in the upper right, that's the data lake where you're collecting all the data and it's for search, it's exploratory. As you get more structure, you get to the descriptive place where you can build dashboards to monitor what's going on. And you get really deep, that's when you have the machine learning. >> Well, the machine learning is hitting the low hanging fruit, and that's where I want to get to next to move it along. Sourcing machine learning capability, let's discuss that. >> OK, alright. Just to set contacts before we get there, notice that when you do end to end visibility, you're really seeing across a broad landscape. And when I'm showing my public cloud big data, that would be depth first just for that component. But you would do breadth first, you could do like a Rocana or a Splunk that then sees across everything. The point I wanted to make was when you said we're reverting back to data warehouses and revisiting that dream again, the management applications started out as saying we know how to look inside machine data and tell you what's going on with your landscape. It turns out that machine data and business operations data, your application data, are really becoming one and the same. So what used to be a transaction, there was one transaction. And that, when you summarized them, that went into the data warehouse. Then we had with systems of engagement, you had about 100 interaction events that you tracked or sort of stored for everything business transaction. And then when we went out to the big data world, it's so resource intensive that we actually had 1,000 to 10,000 infrastructure events for every business transaction. So that's why the data volumes have grown so much and why we had to go back first to data lake, and then curate it to the warehouse. >> Classic innovation story, great. Machine learning. Sourcing machine learning capabilities 'cause that's where the rubber starts hitting the road. You're starting to see clear skies when it comes to where machine learning is starting fit in. Sourcing machine learning capabilities. >> You know, even though we sort of didn't really rehearse this, you're helping cue me on perfectly. Let me make the assertion that with machine learning, we have the same shortage of really trained data scientists that we had when we were trying to stand up Hadoop clusters and do big data analytics. We did not have enough administrators because these were open source components built from essentially different projects, and putting them all together required a huge amount of skills. Data science requires, really, knowledge of algorithms that even really sophisticated programmers will tell you, "Jeez, now I need a PhD "to really understand how this stuff works." So the shortage, that means we're not going to get a lot of hand-built machine learning applications for a while. >> John: In a lot of libraries out there right now, you see TensorFlow from Google. Big traction with that application. >> George: But for PhDs, for PhDs. My contention is-- >> John: Well developers too, you could argue developers, but I'm just putting it out there. >> George: I will get to that, actually. A slide just on that. Let me do this one first because my contention is the first big application, widespread application of machine learning, is going to be the depth first management because it comes with a model built in of how all the big data workloads, services, and infrastructure fit together and work together. And if you look at how the machine learning model operates, when it knows something goes wrong, let's say an analytic job takes 17 hours and then just falls over and crashes, the model can actually look at the data layout and say we have way too much on one node, and it can change the settings and change the layout or the data because it knows how all the stuff works. The point about this is the vendor. In this particular example, Unravel Data, they built into their model an understanding of how to keep a big data workload running as opposed to telling the customer, "You have to program it." So that fits into the question you were just asking which is where do you get this talent. When you were talking about like TensorFlow, and Cafe, and Torch, and MXnet, those are all like assembly language. Yes, those are the most powerful places you could go to program machine learning. But the number of people is inversely proportional to the power of those. >> John: Yeah, those are like really unique specialty people. High, you know, the top guys. >> George: Lab coats, rocket scientists. >> John: Well yeah, just high end tier one coders, tier one brains coding away, AI gurus. This is not your working developer. >> George: But if you go up two levels. So go up one level is Amazon machine learning, Spark machine learning. Go up another level, and I'm using Amazon as an example here. Amazon has a vision service called Recognition. They have a speech generation service, Natural Language. Those are developer ready. And when I say developer ready, I mean developer just uses an API, you know, passes in the data that comes out. He doesn't have to know how the model works. >> John: It's kind of like what DevOps was for cloud at the end of the day. This slide is completely accurate in my opinion. And we're at the early days and you're starting to see the platforms develop. It's the classic abstraction layer. Whoever can extract away the complexity as AI and machine learning grows is going to be the winning platform, no doubt about it. Amazon is showing some good moves there. >> George: And you know how they abstracted away. In traditional programming, it was just building higher and higher APIs, more accessible. In machine learning, you can't do that. You have to actually train the models which means you need data. So if you look at the big cloud vendors right now. So Google, Microsoft, Amazon, and IBM. Most of them, the first three, they have a lot of data from their B to C businesses. So you know, people talking to Echo, people talking to Google Assistant or Siri. That's where they get enough of their speech. >> John: So data equals power? >> George: Yes. >> By having data, you have the ingredients. And the more data that you have, the more data that you know about, the more data that has information around it, the more effective it can be to train machine learning algorithms. >> Yes. >> And the benefit comes back to the people who have the data. >> Yes. And so even though your capabilities get narrower, 'cause you could do anything on TensorFlow. >> John: Well, that's why Facebook is getting killed right now just to kind of change tangents. They have all this data and people are very unhappy, they just released that the Russians were targeting anti-semitic advertising, they enabled that. So it's hard to be a data platform and still provide user utility. This is what's going on. Whoever has the data has the power. It was a Frankenstein moment for Facebook. So there's that out there for everyone. How do companies do the right thing? >> And there's also the issue of customer intellectual property protection. As consumers, we're like you can take our voice, you can take all our speech to Siri or to Echo or whatever and get better at recognizing speech because we've given up control of that 'cause we want those services for free. >> Whoever can shift the data value to the users. >> George: To the developers. >> Or to the developers, or communities, better said, will win. >> OK. >> In my opinion, that's my opinion. >> For the most part, Amazon, Microsoft, and Google have similar data assets. For the most part, so far. IBM has something different which is they work closely with their industry customers and they build progressively. They're working with Mercedes, they're working with BMW. They'll work on the connected car, you know, the autonomous car, and they build out those models slowly. >> So George, this slide is really really interesting and I think this should be a roadmap for all customers to look at to try to peg where they are in the machine learning journey. But then the question comes in. They do the blocking and tackling, they have the foundational low level stuff done, they're building the models, they're understanding the mission, they have the right organizational mindset and personnel. Now, they want to orchestrate it and implement it into action. That's the final question. How do you orchestrate the distributed machine learning feedback and the data coherency? How do you get this thing scaling? How do these machines and the training happen so you have the breadth, and then you could bring the machine learning up the curve into the dashboard? >> OK. We've saved the best for last. It's not easy. When I show the chevrons, that's the analytic data pipeline. And imagine in the serve and predict at the very end, let's take an IOT app, a very sophisticated one. which would be an autonomous car. And it doesn't actually have to be an autonomous one, you could just be collected a lot of information off the car to do a better job insuring it, the insurance company. But the key then is you're collecting data on a fleet of cars, right? You're collecting data off each one, but you're also collecting then the fleet. And that, in the cloud, is where you keep improving your model of how the car works. You run simulations to figure out not just how to design better ones in the future, but how to tune and optimize the ones that are on the road now. That's number three. And then in four, you push that feedback back out to the cars on the road. And you have to manage, and this is tricky, you have to make sure that the models that you trained in step three are coherent, or the same, when you take out the fleet data and then you put the model for a particular instance of a car back out on the highway. >> George, this is a great example, and I think this slide really represents the modern analytical operational role in digital business. You can't look further than Tesla, this is essentially Tesla, and now all cars as a great example 'cause it's complex, it's an internet (mumbling) device, it's on the edge of the network, it's mobility, it's using 5G. It encapsulates everything that you are presenting, so I think this is example, is a great one, of the modern operational analytic applications that supports digital business. Thanks for joining this Wikibon conversaion. >> Thank you, John. >> George Gilbert, the analyst at Wikibon covering big data and the modern operational analytical system supporting digital business. It's data driven. The people with the data can train the machines that have the power. That's the mandate, that's the action item. I'm John Furrier with George Gilbert. Thanks for watching. (upbeat electronic music)
SUMMARY :
George Gilbert is the analyst at Wikibon covering big data. and really inspecting all the trends, that the analytics either inform or drive transactions, With that, let me kick off the first question to you. And even if you take the same step in a pipeline, they have to evaluate what those trade offs are. And the roadblock is These are just some of the tasks they have to worry about. that stretch from one end of the pipeline to the other, So if I kind of connect the dots for you here But they can work together, that's what you're saying. And actually, I hadn't even got to that, No, no, you teed it out. All the undifferentiated labored and scale can be automated. and the depth products are going to sit on top of it. to almost looking like a data warehouse model, Think of it as, another cue. And then their bounded, if you will, view And I was going to do one of my movie references, but-- No, don't do it. that's when you have the machine learning. is hitting the low hanging fruit, and tell you what's going on with your landscape. You're starting to see clear skies So the shortage, that means we're not going to get you see TensorFlow from Google. George: But for PhDs, for PhDs. John: Well developers too, you could argue developers, So that fits into the question you were just asking High, you know, the top guys. This is not your working developer. George: But if you go up two levels. at the end of the day. So if you look at the big cloud vendors right now. And the more data that you have, And the benefit comes back to the people 'cause you could do anything on TensorFlow. Whoever has the data has the power. you can take all our speech to Siri or to Echo or whatever Or to the developers, you know, the autonomous car, and then you could bring the machine learning up the curve or the same, when you take out the fleet data It encapsulates everything that you are presenting, and the modern operational analytical system
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