Image Title

Search Results for first cloud project:

Dave Duggal, EnterpriseWeb & Azhar Sayeed, Red Hat | MWC Barcelona 2023


 

>> theCUBE's live coverage is made possible by funding from Dell Technologies. Creating technologies that drive human progress. (ambient music) >> Lisa: Hey everyone, welcome back to Barcelona, Spain. It's theCUBE Live at MWC 23. Lisa Martin with Dave Vellante. This is day two of four days of cube coverage but you know that, because you've already been watching yesterday and today. We're going to have a great conversation next with EnterpriseWeb and Red Hat. We've had great conversations the last day and a half about the Telco industry, the challenges, the opportunities. We're going to unpack that from this lens. Please welcome Dave Duggal, founder and CEO of EnterpriseWeb and Azhar Sayeed is here, Senior Director Solution Architecture at Red Hat. >> Guys, it's great to have you on the program. >> Yes. >> Thank you Lisa, >> Great being here with you. >> Dave let's go ahead and start with you. Give the audience an overview of EnterpriseWeb. What kind of business is it? What's the business model? What do you guys do? >> Okay so, EnterpriseWeb is reinventing middleware, right? So the historic middleware was to build vertically integrated stacks, right? And those stacks are now such becoming the rate limiters for interoperability for so the end-to-end solutions that everybody's looking for, right? Red Hat's talking about the unified platform. You guys are talking about Supercloud, EnterpriseWeb addresses that we've built middleware based on serverless architecture, so lightweight, low latency, high performance middleware. And we're working with the world's biggest, we sell through channels and we work through partners like Red Hat Intel, Fortnet, Keysight, Tech Mahindra. So working with some of the biggest players that have recognized the value of our innovation, to deliver transformation to the Telecom industry. >> So what are you guys doing together? Is this, is this an OpenShift play? >> Is it? >> Yeah. >> Yeah, so we've got two projects right her on the floor at MWC throughout the various partners, where EnterpriseWeb is actually providing an application layer, sorry application middleware over Red Hat's, OpenShift and we're essentially generating operators so Red Hat operators, so that all our vendors, and, sorry vendors that we onboard into our catalog can be deployed easily through the OpenShift platform. And we allow those, those vendors to be flexibly composed into network services. So the real challenge for operators historically is that they, they have challenges onboarding the vendors. It takes a long time. Each one of them is a snowflake. They, you know, even though there's standards they don't all observe or follow the same standards. So we make it easier using models, right? For, in a model driven process to on boards or streamline that onboarding process, compose functions into services deploy those services seamlessly through Red Hat's OpenShift, and then manage the, the lifecycle, like the quality of service and the SLAs for those services. >> So Red Hat obviously has pretty prominent Telco business has for a while. Red Hat OpenStack actually is is pretty popular within the Telco business. People thought, "Oh, OpenStack, that's dead." Actually, no, it's actually doing quite well. We see it all over the place where for whatever reason people want to build their own cloud. And, and so, so what's happening in the industry because you have the traditional Telcos we heard in the keynotes that kind of typical narrative about, you know, we can't let the over the top vendors do this again. We're, we're going to be Apifi everything, we're going to monetize this time around, not just with connectivity but the, but the fact is they really don't have a developer community. >> Yes. >> Yet anyway. >> Then you have these disruptors over here that are saying "Yeah, we're going to enable ISVs." How do you see it? What's the landscape look like? Help us understand, you know, what the horses on the track are doing. >> Sure. I think what has happened, Dave, is that the conversation has moved a little bit from where they were just looking at IS infrastructure service with virtual machines and OpenStack, as you mentioned, to how do we move up the value chain and look at different applications. And therein comes the rub, right? You have applications with different requirements, IT network that have various different requirements that are there. So as you start to build those cloud platform, as you start to modernize those set of applications, you then start to look at microservices and how you build them. You need the ability to orchestrate them. So some of those problem statements have moved from not just refactoring those applications, but actually now to how do you reliably deploy, manage in a multicloud multi cluster way. So this conversation around Supercloud or this conversation around multicloud is very >> You could say Supercloud. That's okay >> (Dave Duggal and Azhar laughs) >> It's absolutely very real though. The reason why it's very real is, if you look at transformations around Telco, there are two things that are happening. One, Telco IT, they're looking at partnerships with hybrid cloud, I mean with public cloud players to build a hybrid environment. They're also building their own Telco Cloud environment for their network functions. Now, in both of those spaces, they end up operating two to three different environments themselves. Now how do you create a level of abstraction across those? How do you manage that particular infrastructure? And then how do you orchestrate all of those different workloads? Those are the type of problems that they're actually beginning to solve. So they've moved on from really just putting that virtualizing their application, putting it on OpenStack to now really seriously looking at "How do I build a service?" "How do I leverage the catalog that's available both in my private and public and build an overall service process?" >> And by the way what you just described as hybrid cloud and multicloud is, you know Supercloud is what multicloud should have been. And what, what it originally became is "I run on this cloud and I run on this cloud" and "I run on this cloud and I have a hybrid." And, and Supercloud is meant to create a common experience across those clouds. >> Dave Duggal: Right? >> Thanks to, you know, Supercloud middleware. >> Yeah. >> Right? And, and so that's what you guys do. >> Yeah, exactly. Exactly. Dave, I mean, even the name EnterpriseWeb, you know we started from looking from the application layer down. If you look at it, the last 10 years we've looked from the infrastructure up, right? And now everybody's looking northbound saying "You know what, actually, if I look from the infrastructure up the only thing I'll ever build is silos, right?" And those silos get in the way of the interoperability and the agility the businesses want. So we take the perspective as high level abstractions, common tools, so that if I'm a CXO, I can look down on my environments, right? When I'm really not, I honestly, if I'm an, if I'm a CEO I don't really care or CXO, I don't really care so much about my infrastructure to be honest. I care about my applications and their behavior. I care about my SLAs and my quality of service, right? Those are the things I care about. So I really want an EnterpriseWeb, right? Something that helps me connect all my distributed applications all across all of the environments. So I can have one place a consistency layer that speaks a common language. We know that there's a lot of heterogeneity down all those layers and a lot of complexity down those layers. But the business doesn't care. They don't want to care, right? They want to actually take their applications deploy them where they're the most performant where they're getting the best cost, right? The lowest and maybe sustainability concerns, all those. They want to address those problems, meet their SLAs meet their quality service. And you know what, if it's running on Amazon, great. If it's running on Google Cloud platform, great. If it, you know, we're doing one project right here that we're demonstrating here is with with Amazon Tech Mahindra and OpenShift, where we took a disaggregated 5G core, right? So this is like sort of latest telecom, you know net networking software, right? We're deploying pulling elements of that network across core, across Amazon EKS, OpenShift on Red Hat ROSA, as well as just OpenShift for cloud. And we, through a single pane of deployment and management, we deployed the elements of the 5G core across them and then connected them in an end-to-end process. That's Telco Supercloud. >> Dave Vellante: So that's an O-RAN deployment. >> Yeah that's >> So, the big advantage of that, pardon me, Dave but the big advantage of that is the customer really doesn't care where the components are being served from for them. It's a 5G capability. It happens to sit in different locations. And that's, it's, it's about how do you abstract and how do you manage all those different workloads in a cohesive way? And that's exactly what EnterpriseWeb is bringing to the table. And what we do is we abstract the underlying infrastructure which is the cloud layer. So if, because AWS operating environment is different then private cloud operating environment then Azure environment, you have the networking is set up is different in each one of them. If there is a way you can abstract all of that and present it in a common operating model it becomes a lot easier than for anybody to be able to consume. >> And what a lot of customers tell me is the way they deal with multicloud complexity is they go with mono cloud, right? And so they'll lose out on some of the best services >> Absolutely >> If best of, so that's not >> that's not ideal, but at the end of the day, agree, developers don't want to muck with all the plumbing >> Dave Duggal: Yep. >> They want to write code. >> Azhar: Correct. >> So like I come back to are the traditional Telcos leaning in on a way that they're going to enable ISVs and developers to write on top of those platforms? Or are there sort of new entrance and disruptors? And I know, I know the answer is both >> Dave Duggal: Yep. >> but I feel as though the Telcos still haven't, traditional Telcos haven't tuned in to that developer affinity, but you guys sell to them. >> What, what are you seeing? >> Yeah, so >> What we have seen is there are Telcos fall into several categories there. If you look at the most mature ones, you know they are very eager to move up the value chain. There are some smaller very nimble ones that have actually doing, they're actually doing something really interesting. For example, they've provided sandbox environments to developers to say "Go develop your applications to the sandbox environment." We'll use that to build an net service with you. I can give you some interesting examples across the globe that, where that is happening, right? In AsiaPac, particularly in Australia, ANZ region. There are a couple of providers who have who have done this, but in, in, in a very interesting way. But the challenges to them, why it's not completely open or public yet is primarily because they haven't figured out how to exactly monetize that. And, and that's the reason why. So in the absence of that, what will happen is they they have to rely on the ISV ecosystem to be able to build those capabilities which they can then bring it on as part of the catalog. But in Latin America, I was talking to one of the providers and they said, "Well look we have a public cloud, we have our own public cloud, right?" What we want do is use that to offer localized services not just bring everything in from the top >> But, but we heard from Ericson's CEO they're basically going to monetize it by what I call "gouge", the developers >> (Azhar laughs) >> access to the network telemetry as opposed to saying, "Hey, here's an open platform development on top of it and it will maybe create something like an app store and we'll take a piece of the action." >> So ours, >> to be is a better model. >> Yeah. So that's perfect. Our second project that we're showing here is with Intel, right? So Intel came to us cause they are a reputation for doing advanced automation solutions. They gave us carte blanche in their labs. So this is Intel Network Builders they said pick your partners. And we went with the Red Hat, Fort Net, Keysite this company KX doing AIML. But to address your DevX, here's Intel explicitly wants to get closer to the developers by exposing their APIs, open APIs over their infrastructure. Just like Red Hat has APIs, right? And so they can expose them northbound to developers so developers can leverage and tune their applications, right? But the challenge there is what Intel is doing at the low level network infrastructure, right? Is fundamentally complex, right? What you want is an abstraction layer where develop and this gets to, to your point Dave where you just said like "The developers just want to get their job done." or really they want to focus on the business logic and accelerate that service delivery, right? So the idea here is an EnterpriseWeb they can literally declaratively compose their services, express their intent. "I want this to run optimized for low latency. I want this to run optimized for energy consumption." Right? And that's all they say, right? That's a very high level statement. And then the run time translates it between all the elements that are participating in that service to realize the developer's intent, right? No hands, right? Zero touch, right? So that's now a movement in telecom. So you're right, it's taking a while because these are pretty fundamental shifts, right? But it's intent based networking, right? So it's almost two parts, right? One is you have to have the open APIs, right? So that the infrastructure has to expose its capabilities. Then you need abstractions over the top that make it simple for developers to take, you know, make use of them. >> See, one of the demonstrations we are doing is around AIOps. And I've had literally here on this floor, two conversations around what I call as network as a platform. Although it sounds like a cliche term, that's exactly what Dave was describing in terms of exposing APIs from the infrastructure and utilizing them. So once you get that data, then now you can do analytics and do machine learning to be able to build models and figure out how you can orchestrate better how you can monetize better, how can how you can utilize better, right? So all of those things become important. It's just not about internal optimization but it's also about how do you expose it to third party ecosystem to translate that into better delivery mechanisms or IOT capability and so on. >> But if they're going to charge me for every API call in the network I'm going to go broke (team laughs) >> And I'm going to get really pissed. I mean, I feel like, I'm just running down, Oracle. IBM tried it. Oracle, okay, they got Java, but they don't they don't have developer jobs. VMware, okay? They got Aria. EMC used to have a thing called code. IBM had to buy Red Hat to get to the developer community. (Lisa laughs) >> So I feel like the telcos don't today have those developer shops. So, so they have to partner. [Azhar] Yes. >> With guys like you and then be more open and and let a zillion flowers bloom or else they're going to get disrupted in a big way and they're going to it's going to be a repeat of the over, over the top in, in in a different model that I can't predict. >> Yeah. >> Absolutely true. I mean, look, they cannot be in the connectivity business. Telcos cannot be just in the connectivity business. It's, I think so, you know, >> Dave Vellante: You had a fry a frozen hand (Dave Daggul laughs) >> off that, you know. >> Well, you know, think about they almost have to go become over the top on themselves, right? That's what the cloud guys are doing, right? >> Yeah. >> They're riding over their backbone that by taking a creating a high level abstraction, they in turn abstract away the infrastructure underneath them, right? And that's really the end game >> Right? >> Dave Vellante: Yeah. >> Is because now, >> they're over the top it's their network, it's their infrastructure, right? They don't want to become bid pipes. >> Yep. >> Now you, they can take OpenShift, run that in any cloud. >> Yep. >> Right? >> You can run that in hybrid cloud, enterprise web can do the application layer configuration and management. And together we're running, you know, OSI layers one through seven, east to west, north to south. We're running across the the RAN, the core and the transport. And that is telco super cloud, my friend. >> Yeah. Well, >> (Dave Duggal laughs) >> I'm dominating the conversation cause I love talking super cloud. >> I knew you would. >> So speaking of super superpowers, when you're in customer or prospective customer conversations with providers and they've got, obviously they're they're in this transformative state right now. How, what do you describe as the superpower between Red Hat and EnterpriseWeb in terms of really helping these Telcos transforms. But at the end of the day, the connectivity's there the end user gets what they want, which is I want this to work wherever I am. >> Yeah, yeah. That's a great question, Lisa. So I think the way you could look at it is most software has, has been evolved to be specialized, right? So in Telcos' no different, right? We have this in the enterprise, right? All these specialized stacks, all these components that they wire together in the, in you think of Telco as a sort of a super set of enterprise problems, right? They have all those problems like magnified manyfold, right? And so you have specialized, let's say orchestrators and other tools for every Telco domain for every Telco layer. Now you have a zoo of orchestrators, right? None of them were designed to work together, right? They all speak a specific language, let's say quote unquote for doing a specific purpose. But everything that's interesting in the 21st century is across layers and across domains, right? If a siloed static application, those are dead, right? Nobody's doing those anymore. Even developers don't do those developers are doing composition today. They're not doing, nobody wants to hear about a 6 million lines of code, right? They want to hear, "How did you take these five things and bring 'em together for productive use?" >> Lisa: Right. How did you deliver faster for my enterprise? How did you save me money? How did you create business value? And that's what we're doing together. >> I mean, just to add on to Dave, I was talking to one of the providers, they have more than 30,000 nodes in their infrastructure. When I say no to your servers running, you know, Kubernetes,running open stack, running different components. If try managing that in one single entity, if you will. Not possible. You got to fragment, you got to segment in some way. Now the question is, if you are not exposing that particular infrastructure and the appropriate KPIs and appropriate things, you will not be able to efficiently utilize that across the board. So you need almost a construct that creates like a manager of managers, a hierarchical structure, which would allow you to be more intelligent in terms of how you place those, how you manage that. And so when you ask the question about what's the secret sauce between the two, well this is exactly where EnterpriseWeb brings in that capability to analyze information, be more intelligent about it. And what we do is provide an abstraction of the cloud layer so that they can, you know, then do the right job in terms of making sure that it's appropriate and it's consistent. >> Consistency is key. Guys, thank you so much. It's been a pleasure really digging through EnterpriseWeb. >> Thank you. >> What you're doing >> with Red Hat. How you're helping the organization transform and Supercloud, we can't forget Supercloud. (Dave Vellante laughs) >> Fight Supercloud. Guys, thank you so much for your time. >> Thank you so much Lisa. >> Thank you. >> Thank you guys. >> Very nice. >> Lisa: We really appreciate it. >> For our guests and for Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live tech coverage coming to you live from MWC 23. We'll be back after a short break.

Published Date : Feb 28 2023

SUMMARY :

that drive human progress. the challenges, the opportunities. have you on the program. What's the business model? So the historic middleware So the real challenge for happening in the industry What's the landscape look like? You need the ability to orchestrate them. You could say Supercloud. And then how do you orchestrate all And by the way Thanks to, you know, And, and so that's what you guys do. even the name EnterpriseWeb, you know that's an O-RAN deployment. of that is the customer but you guys sell to them. on the ISV ecosystem to be able take a piece of the action." So that the infrastructure has and figure out how you And I'm going to get So, so they have to partner. the over, over the top in, in in the connectivity business. They don't want to become bid pipes. OpenShift, run that in any cloud. And together we're running, you know, I'm dominating the conversation the end user gets what they want, which is And so you have specialized, How did you create business value? You got to fragment, you got to segment Guys, thank you so much. and Supercloud, we Guys, thank you so much for your time. to you live from MWC 23.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
DavePERSON

0.99+

LisaPERSON

0.99+

Dave DuggalPERSON

0.99+

Dave VellantePERSON

0.99+

Lisa MartinPERSON

0.99+

IBMORGANIZATION

0.99+

TelcosORGANIZATION

0.99+

TelcoORGANIZATION

0.99+

Red HatORGANIZATION

0.99+

FortnetORGANIZATION

0.99+

KeysightORGANIZATION

0.99+

EnterpriseWebORGANIZATION

0.99+

OracleORGANIZATION

0.99+

twoQUANTITY

0.99+

AWSORGANIZATION

0.99+

21st centuryDATE

0.99+

AmazonORGANIZATION

0.99+

two projectsQUANTITY

0.99+

Telcos'ORGANIZATION

0.99+

Latin AmericaLOCATION

0.99+

EMCORGANIZATION

0.99+

Dave DaggulPERSON

0.99+

Dell TechnologiesORGANIZATION

0.99+

second projectQUANTITY

0.99+

oneQUANTITY

0.99+

IntelORGANIZATION

0.99+

todayDATE

0.99+

Fort NetORGANIZATION

0.99+

Barcelona, SpainLOCATION

0.99+

telcoORGANIZATION

0.99+

more than 30,000 nodesQUANTITY

0.99+

two thingsQUANTITY

0.99+

bothQUANTITY

0.99+

OpenShiftTITLE

0.99+

JavaTITLE

0.99+

threeQUANTITY

0.99+

KXORGANIZATION

0.99+

Azhar SayeedPERSON

0.98+

OneQUANTITY

0.98+

Tech MahindraORGANIZATION

0.98+

two conversationsQUANTITY

0.98+

yesterdayDATE

0.98+

five thingsQUANTITY

0.98+

telcosORGANIZATION

0.97+

four daysQUANTITY

0.97+

AzharPERSON

0.97+

Ed Walsh & Thomas Hazel | A New Database Architecture for Supercloud


 

(bright music) >> Hi, everybody, this is Dave Vellante, welcome back to Supercloud 2. Last August, at the first Supercloud event, we invited the broader community to help further define Supercloud, we assessed its viability, and identified the critical elements and deployment models of the concept. The objectives here at Supercloud too are, first of all, to continue to tighten and test the concept, the second is, we want to get real world input from practitioners on the problems that they're facing and the viability of Supercloud in terms of applying it to their business. So on the program, we got companies like Walmart, Sachs, Western Union, Ionis Pharmaceuticals, NASDAQ, and others. And the third thing that we want to do is we want to drill into the intersection of cloud and data to project what the future looks like in the context of Supercloud. So in this segment, we want to explore the concept of data architectures and what's going to be required for Supercloud. And I'm pleased to welcome one of our Supercloud sponsors, ChaosSearch, Ed Walsh is the CEO of the company, with Thomas Hazel, who's the Founder, CTO, and Chief Scientist. Guys, good to see you again, thanks for coming into our Marlborough studio. >> Always great. >> Great to be here. >> Okay, so there's a little debate, I'm going to put you right in the spot. (Ed chuckling) A little debate going on in the community started by Bob Muglia, a former CEO of Snowflake, and he was at Microsoft for a long time, and he looked at the Supercloud definition, said, "I think you need to tighten it up a little bit." So, here's what he came up with. He said, "A Supercloud is a platform that provides a programmatically consistent set of services hosted on heterogeneous cloud providers." So he's calling it a platform, not an architecture, which was kind of interesting. And so presumably the platform owner is going to be responsible for the architecture, but Dr. Nelu Mihai, who's a computer scientist behind the Cloud of Clouds Project, he chimed in and responded with the following. He said, "Cloud is a programming paradigm supporting the entire lifecycle of applications with data and logic natively distributed. Supercloud is an open architecture that integrates heterogeneous clouds in an agnostic manner." So, Ed, words matter. Is this an architecture or is it a platform? >> Put us on the spot. So, I'm sure you have concepts, I would say it's an architectural or design principle. Listen, I look at Supercloud as a mega trend, just like cloud, just like data analytics. And some companies are using the principle, design principles, to literally get dramatically ahead of everyone else. I mean, things you couldn't possibly do if you didn't use cloud principles, right? So I think it's a Supercloud effect, you're able to do things you're not able to. So I think it's more a design principle, but if you do it right, you get dramatic effect as far as customer value. >> So the conversation that we were having with Muglia, and Tristan Handy of dbt Labs, was, I'll set it up as the following, and, Thomas, would love to get your thoughts, if you have a CRM, think about applications today, it's all about forms and codifying business processes, you type a bunch of stuff into Salesforce, and all the salespeople do it, and this machine generates a forecast. What if you have this new type of data app that pulls data from the transaction system, the e-commerce, the supply chain, the partner ecosystem, et cetera, and then, without humans, actually comes up with a plan. That's their vision. And Muglia was saying, in order to do that, you need to rethink data architectures and database architectures specifically, you need to get down to the level of how the data is stored on the disc. What are your thoughts on that? Well, first of all, I'm going to cop out, I think it's actually both. I do think it's a design principle, I think it's not open technology, but open APIs, open access, and you can build a platform on that design principle architecture. Now, I'm a database person, I love solving the database problems. >> I'm waited for you to launch into this. >> Yeah, so I mean, you know, Snowflake is a database, right? It's a distributed database. And we wanted to crack those codes, because, multi-region, multi-cloud, customers wanted access to their data, and their data is in a variety of forms, all these services that you're talked about. And so what I saw as a core principle was cloud object storage, everyone streams their data to cloud object storage. From there we said, well, how about we rethink database architecture, rethink file format, so that we can take each one of these services and bring them together, whether distributively or centrally, such that customers can access and get answers, whether it's operational data, whether it's business data, AKA search, or SQL, complex distributed joins. But we had to rethink the architecture. I like to say we're not a first generation, or a second, we're a third generation distributed database on pure, pure cloud storage, no caching, no SSDs. Why? Because all that availability, the cost of time, is a struggle, and cloud object storage, we think, is the answer. >> So when you're saying no caching, so when I think about how companies are solving some, you know, pretty hairy problems, take MySQL Heatwave, everybody thought Oracle was going to just forget about MySQL, well, they come out with Heatwave. And the way they solve problems, and you see their benchmarks against Amazon, "Oh, we crush everybody," is they put it all in memory. So you said no caching? You're not getting performance through caching? How is that true, and how are you getting performance? >> Well, so five, six years ago, right? When you realize that cloud object storage is going to be everywhere, and it's going to be a core foundational, if you will, fabric, what would you do? Well, a lot of times the second generation say, "We'll take it out of cloud storage, put in SSDs or something, and put into cache." And that adds a lot of time, adds a lot of costs. But I said, what if, what if we could actually make the first read hot, the first read distributed joins and searching? And so what we went out to do was said, we can't cache, because that's adds time, that adds cost. We have to make cloud object storage high performance, like it feels like a caching SSD. That's where our patents are, that's where our technology is, and we've spent many years working towards this. So, to me, if you can crack that code, a lot of these issues we're talking about, multi-region, multicloud, different services, everybody wants to send their data to the data lake, but then they move it out, we said, "Keep it right there." >> You nailed it, the data gravity. So, Bob's right, the data's coming in, and you need to get the data from everywhere, but you need an environment that you can deal with all that different schema, all the different type of technology, but also at scale. Bob's right, you cannot use memory or SSDs to cache that, that doesn't scale, it doesn't scale cost effectively. But if you could, and what you did, is you made object storage, S3 first, but object storage, the only persistence by doing that. And then we get performance, we should talk about it, it's literally, you know, hundreds of terabytes of queries, and it's done in seconds, it's done without memory caching. We have concepts of caching, but the only caching, the only persistence, is actually when we're doing caching, we're just keeping another side-eye track of things on the S3 itself. So we're using, actually, the object storage to be a database, which is kind of where Bob was saying, we agree, but that's what you started at, people thought you were crazy. >> And maybe make it live. Don't think of it as archival or temporary space, make it live, real time streaming, operational data. What we do is make it smart, we see the data coming in, we uniquely index it such that you can get your use cases, that are search, observability, security, or backend operational. But we don't have to have this, I dunno, static, fixed, siloed type of architecture technologies that were traditionally built prior to Supercloud thinking. >> And you don't have to move everything, essentially, you can do it wherever the data lands, whatever cloud across the globe, you're able to bring it together, you get the cost effectiveness, because the only persistence is the cheapest storage persistent layer you can buy. But the key thing is you cracked the code. >> We had to crack the code, right? That was the key thing. >> That's where the plans are. >> And then once you do that, then everything else gets easier to scale, your architecture, across regions, across cloud. >> Now, it's a general purpose database, as Bob was saying, but we use that database to solve a particular issue, which is around operational data, right? So, we agree with Bob's. >> Interesting. So this brings me to this concept of data, Jimata Gan is one of our speakers, you know, we talk about data fabric, which is a NetApp, originally NetApp concept, Gartner's kind of co-opted it. But so, the basic concept is, data lives everywhere, whether it's an S3 bucket, or a SQL database, or a data lake, it's just a node on the data mesh. So in your view, how does this fit in with Supercloud? Ed, you've said that you've built, essentially, an enabler for that, for the data mesh, I think you're an enabler for the Supercloud-like principles. This is a big, chewy opportunity, and it requires, you know, a team approach. There's got to be an ecosystem, there's not going to be one Supercloud to rule them all, so where does the ecosystem fit into the discussion, and where do you fit into the ecosystem? >> Right, so we agree completely, there's not one Supercloud in effect, but we use Supercloud principles to build our platform, and then, you know, the ecosystem's going to be built on leveraging what everyone else's secret powers are, right? So our power, our superpower, based upon what we built is, we deal with, if you're having any scale, or cost effective scale issues, with data, machine generated data, like business observability or security data, we are your force multiplier, we will take that in singularly, just let it, simply put it in your object storage wherever it sits, and we give you uniformity access to that using OpenAPI access, SQL, or you know, Elasticsearch API. So, that's what we do, that's our superpower. So I'll play it into data mesh, that's a perfect, we are a node on a data mesh, but I'll play it in the soup about how, the ecosystem, we see it kind of playing, and we talked about it in just in the last couple days, how we see this kind of possibly. Short term, our superpowers, we deal with this data that's coming at these environments, people, customers, building out observability or security environments, or vendors that are selling their own Supercloud, I do observability, the Datadogs of the world, dot dot dot, the Splunks of the world, dot dot dot, and security. So what we do is we fit in naturally. What we do is a cost effective scale, just land it anywhere in the world, we deal with ingest, and it's a cost effective, an order of magnitude, or two or three order magnitudes more cost effective. Allows them, their customers are asking them to do the impossible, "Give me fast monitoring alerting. I want it snappy, but I want it to keep two years of data, (laughs) and I want it cost effective." It doesn't work. They're good at the fast monitoring alerting, we're good at the long-term retention. And yet there's some gray area between those two, but one to one is actually cheaper, so we would partner. So the first ecosystem plays, who wants to have the ability to, really, all the data's in those same environments, the security observability players, they can literally, just through API, drag our data into their point to grab. We can make it seamless for customers. Right now, we make it helpful to customers. Your Datadog, we make a button, easy go from Datadog to us for logs, save you money. Same thing with Grafana. But you can also look at ecosystem, those same vendors, it used to be a year ago it was, you know, its all about how can you grow, like it's growth at all costs, now it's about cogs. So literally we can go an environment, you supply what your customer wants, but we can help with cogs. And one-on one in a partnership is better than you trying to build on your own. >> Thomas, you were saying you make the first read fast, so you think about Snowflake. Everybody wants to talk about Snowflake and Databricks. So, Snowflake, great, but you got to get the data in there. All right, so that's, can you help with that problem? >> I mean we want simple in, right? And if you have to have structure in, you're not simple. So the idea that you have a simple in, data lake, schema read type philosophy, but schema right type performance. And so what I wanted to do, what we have done, is have that simple lake, and stream that data real time, and those access points of Search or SQL, to go after whatever business case you need, security observability, warehouse integration. But the key thing is, how do I make that click, click, click answer, and do it quickly? And so what we want to do is, that first read has to be fast. Why? 'Cause then you're going to do all this siloing, layers, complexity. If your first read's not fast, you're at a disadvantage, particularly in cost. And nobody says I want less data, but everyone has to, whether they say we're going to shorten the window, we're going to use AI to choose, but in a security moment, when you don't have that answer, you're in trouble. And that's why we are this service, this Supercloud service, if you will, providing access, well-known search, well-known SQL type access, that if you just have one access point, you're at a disadvantage. >> We actually talked about Snowflake and BigQuery, and a different platform, Data Bricks. That's kind of where we see the phase two of ecosystem. One is easy, the low-hanging fruit is observability and security firms. But the next one is, what we do, our super power is dealing with this messy data that schema is changing like night and day. Pipelines are tough, and it's changing all the time, but you want these things fast, and it's big data around the world. That's the next point, just use us alongside, or inside, one of their platforms, and now we get the best of both worlds. Our superpower is keeping this messy data as a streaming, okay, not a batch thing, allow you to do that. So, that's the second one. And then to be honest, the third one, which plays you to Supercloud, it also plays perfectly in the data mesh, is if you really go to the ultimate thing, what we have done is made object storage, S3, GCS, and blob storage, we made it a database. Put, get, complex query with big joins. You know, so back to your original thing, and Muglia teed it up perfectly, we've done that. Now imagine if that's an ecosystem, who would want that? If it's, again, it's uniform available across all the regions, across all the clouds, and it's right next to where you are building a service, or a client's trying, that's where the ecosystem, I think people are going to use Superclouds for their superpowers. We're really good at this, allows that short term. I think the Snowflakes and the Data Bricks are the medium term, you know? And then I think eventually gets to, hey, listen if you can make object storage fast, you can just go after it with simple SQL queries, or elastic. Who would want that? I think that's where people are going to leverage it. It's not going to be one Supercloud, and we leverage the super clouds. >> Our viewpoint is smart object storage can be programmable, and so we agree with Bob, but we're not saying do it here, do it here. This core, fundamental layer across regions, across clouds, that everyone has? Simple in. Right now, it's hard to get data in for access for analysis. So we said, simply, we'll automate the entire process, give you API access across regions, across clouds. And again, how do you do a distributed join that's fast? How do you do a distributed join that doesn't cost you an arm or a leg? And how do you do it at scale? And that's where we've been focused. >> So prior, the cloud object store was a niche. >> Yeah. >> S3 obviously changed that. How standard is, essentially, object store across the different cloud platforms? Is that a problem for you? Is that an easy thing to solve? >> Well, let's talk about it. I mean we've fundamentally, yeah we've extracted it, but fundamentally, cloud object storage, put, get, and list. That's why it's so scalable, 'cause it doesn't have all these other components. That complexity is where we have moved up, and provide direct analytical API access. So because of its simplicity, and costs, and security, and reliability, it can scale naturally. I mean, really, distributed object storage is easy, it's put-get anywhere, now what we've done is we put a layer of intelligence, you know, call it smart object storage, where access is simple. So whether it's multi-region, do a query across, or multicloud, do a query across, or hunting, searching. >> We've had clients doing Amazon and Google, we have some Azure, but we see Amazon and Google more, and it's a consistent service across all of them. Just literally put your data in the bucket of choice, or folder of choice, click a couple buttons, literally click that to say "that's hot," and after that, it's hot, you can see it. But we're not moving data, the data gravity issue, that's the other. That it's already natively flowing to these pools of object storage across different regions and clouds. We don't move it, we index it right there, we're spinning up stateless compute, back to the Supercloud concept. But now that allows us to do all these other things, right? >> And it's no longer just cheap and deep object storage. Right? >> Yeah, we make it the same, like you have an analytic platform regardless of where you're at, you don't have to worry about that. Yeah, we deal with that, we deal with a stateless compute coming up -- >> And make it programmable. Be able to say, "I want this bucket to provide these answers." Right, that's really the hope, the vision. And the complexity to build the entire stack, and then connect them together, we said, the fabric is cloud storage, we just provide the intelligence on top. >> Let's bring it back to the customers, and one of the things we're exploring in Supercloud too is, you know, is Supercloud a solution looking for a problem? Is a multicloud really a problem? I mean, you hear, you know, a lot of the vendor marketing says, "Oh, it's a disaster, because it's all different across the clouds." And I talked to a lot of customers even as part of Supercloud too, they're like, "Well, I solved that problem by just going mono cloud." Well, but then you're not able to take advantage of a lot of the capabilities and the primitives that, you know, like Google's data, or you like Microsoft's simplicity, their RPA, whatever it is. So what are customers telling you, what are their near term problems that they're trying to solve today, and how are they thinking about the future? >> Listen, it's a real problem. I think it started, I think this is a a mega trend, just like cloud. Just, cloud data, and I always add, analytics, are the mega trends. If you're looking at those, if you're not considering using the Supercloud principles, in other words, leveraging what I have, abstracting it out, and getting the most out of that, and then build value on top, I think you're not going to be able to keep up, In fact, no way you're going to keep up with this data volume. It's a geometric challenge, and you're trying to do linear things. So clients aren't necessarily asking, hey, for Supercloud, but they're really saying, I need to have a better mechanism to simplify this and get value across it, and how do you abstract that out to do that? And that's where they're obviously, our conversations are more amazed what we're able to do, and what they're able to do with our platform, because if you think of what we've done, the S3, or GCS, or object storage, is they can't imagine the ingest, they can't imagine how easy, time to glass, one minute, no matter where it lands in the world, querying this in seconds for hundreds of terabytes squared. People are amazed, but that's kind of, so they're not asking for that, but they are amazed. And then when you start talking on it, if you're an enterprise person, you're building a big cloud data platform, or doing data or analytics, if you're not trying to leverage the public clouds, and somehow leverage all of them, and then build on top, then I think you're missing it. So they might not be asking for it, but they're doing it. >> And they're looking for a lens, you mentioned all these different services, how do I bring those together quickly? You know, our viewpoint, our service, is I have all these streams of data, create a lens where they want to go after it via search, go after via SQL, bring them together instantly, no e-tailing out, no define this table, put into this database. We said, let's have a service that creates a lens across all these streams, and then make those connections. I want to take my CRM with my Google AdWords, and maybe my Salesforce, how do I do analysis? Maybe I want to hunt first, maybe I want to join, maybe I want to add another stream to it. And so our viewpoint is, it's so natural to get into these lake platforms and then provide lenses to get that access. >> And they don't want it separate, they don't want something different here, and different there. They want it basically -- >> So this is our industry, right? If something new comes out, remember virtualization came out, "Oh my God, this is so great, it's going to solve all these problems." And all of a sudden it just got to be this big, more complex thing. Same thing with cloud, you know? It started out with S3, and then EC2, and now hundreds and hundreds of different services. So, it's a complex matter for a lot of people, and this creates problems for customers, especially when you got divisions that are using different clouds, and you're saying that the solution, or a solution for the part of the problem, is to really allow the data to stay in place on S3, use that standard, super simple, but then give it what, Ed, you've called superpower a couple of times, to make it fast, make it inexpensive, and allow you to do that across clouds. >> Yeah, yeah. >> I'll give you guys the last word on that. >> No, listen, I think, we think Supercloud allows you to do a lot more. And for us, data, everyone says more data, more problems, more budget issue, everyone knows more data is better, and we show you how to do it cost effectively at scale. And we couldn't have done it without the design principles of we're leveraging the Supercloud to get capabilities, and because we use super, just the object storage, we're able to get these capabilities of ingest, scale, cost effectiveness, and then we built on top of this. In the end, a database is a data platform that allows you to go after everything distributed, and to get one platform for analytics, no matter where it lands, that's where we think the Supercloud concepts are perfect, that's where our clients are seeing it, and we're kind of excited about it. >> Yeah a third generation database, Supercloud database, however we want to phrase it, and make it simple, but provide the value, and make it instant. >> Guys, thanks so much for coming into the studio today, I really thank you for your support of theCUBE, and theCUBE community, it allows us to provide events like this and free content. I really appreciate it. >> Oh, thank you. >> Thank you. >> All right, this is Dave Vellante for John Furrier in theCUBE community, thanks for being with us today. You're watching Supercloud 2, keep it right there for more thought provoking discussions around the future of cloud and data. (bright music)

Published Date : Feb 17 2023

SUMMARY :

And the third thing that we want to do I'm going to put you right but if you do it right, So the conversation that we were having I like to say we're not a and you see their So, to me, if you can crack that code, and you need to get the you can get your use cases, But the key thing is you cracked the code. We had to crack the code, right? And then once you do that, So, we agree with Bob's. and where do you fit into the ecosystem? and we give you uniformity access to that so you think about Snowflake. So the idea that you have are the medium term, you know? and so we agree with Bob, So prior, the cloud that an easy thing to solve? you know, call it smart object storage, and after that, it's hot, you can see it. And it's no longer just you don't have to worry about And the complexity to and one of the things we're and how do you abstract it's so natural to get and different there. and allow you to do that across clouds. I'll give you guys and we show you how to do it but provide the value, I really thank you for around the future of cloud and data.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
WalmartORGANIZATION

0.99+

Dave VellantePERSON

0.99+

NASDAQORGANIZATION

0.99+

Bob MugliaPERSON

0.99+

ThomasPERSON

0.99+

Thomas HazelPERSON

0.99+

Ionis PharmaceuticalsORGANIZATION

0.99+

Western UnionORGANIZATION

0.99+

Ed WalshPERSON

0.99+

BobPERSON

0.99+

MicrosoftORGANIZATION

0.99+

Nelu MihaiPERSON

0.99+

SachsORGANIZATION

0.99+

Tristan HandyPERSON

0.99+

twoQUANTITY

0.99+

AmazonORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

two yearsQUANTITY

0.99+

Supercloud 2TITLE

0.99+

firstQUANTITY

0.99+

Last AugustDATE

0.99+

threeQUANTITY

0.99+

OracleORGANIZATION

0.99+

SnowflakeORGANIZATION

0.99+

bothQUANTITY

0.99+

dbt LabsORGANIZATION

0.99+

John FurrierPERSON

0.99+

EdPERSON

0.99+

GartnerORGANIZATION

0.99+

Jimata GanPERSON

0.99+

third oneQUANTITY

0.99+

one minuteQUANTITY

0.99+

secondQUANTITY

0.99+

first generationQUANTITY

0.99+

third generationQUANTITY

0.99+

GrafanaORGANIZATION

0.99+

second generationQUANTITY

0.99+

second oneQUANTITY

0.99+

hundreds of terabytesQUANTITY

0.98+

SQLTITLE

0.98+

fiveDATE

0.98+

oneQUANTITY

0.98+

DatabricksORGANIZATION

0.98+

a year agoDATE

0.98+

ChaosSearchORGANIZATION

0.98+

MugliaPERSON

0.98+

MySQLTITLE

0.98+

both worldsQUANTITY

0.98+

third thingQUANTITY

0.97+

MarlboroughLOCATION

0.97+

theCUBEORGANIZATION

0.97+

todayDATE

0.97+

SupercloudORGANIZATION

0.97+

ElasticsearchTITLE

0.96+

NetAppTITLE

0.96+

DatadogORGANIZATION

0.96+

OneQUANTITY

0.96+

EC2TITLE

0.96+

each oneQUANTITY

0.96+

S3TITLE

0.96+

one platformQUANTITY

0.95+

Supercloud 2EVENT

0.95+

first readQUANTITY

0.95+

six years agoDATE

0.95+

Brian Henderson, Dell Technologies & Marc Trimuschat, AWS | AWS re:Invent 2022


 

(techno intro music) >> Hey everyone, good afternoon from sin city. This is Lisa Martin with Dave Vellante. We are in full swing of theCUBE's four days of coverage of AWS re:invent 2022. North of 50,000 people are here. We're nearing hundreds of thousands online. Dave, this has been, this is a great event. We've had great conversations. We're going to be having more conversations. One of the things we love talking about on theCUBE is AWS and its ecosystem of partners, and we are going to do just that right now. Brian Henderson joins us, Director of Marketing at Dell Technologies. Marc Trimuschat, Director of Worldwide Storage Specialists at AWS is also here. Guys, it's great to have you. >> Great to be here. >> Great to be here, yeah. Feeling the energy of the show. >> Isn't it great? >> Mark: I know, amazing. >> It's amazing. It started out high and it has not dropped since Monday night. Brian, talk a little bit about Dell, what you're doing with customers on their Cloud journeys. Every customer, every industry is on one at different points in their journey, but what's Dell helping out with there? >> What we're here to talk about is the progression that we've seen, right, Cloud has changed a lot over the years and Dell has really put out a strategy to help people with their Cloud journey, kind of wherever they are. So a lot of people have moved full shift. A lot of people see that as another location, and what we're showing at the booth is the idea of taking these enterprise capabilities that people know and trust from Dell, courting them to the Cloud. In some cases not courting, but just delivering that software in the Cloud, as well as taking some of the Kubernetes integrations, EKS Anywhere, bringing that on-prem. So we've got some storage, data protection, and our Kubernetes integration to talk about at the show. >> Awesome, Mark, talk about the role from Amazon's point of view that third party vendors like Dell Technologies plays in AWS's expanding vision of Cloud. >> Great, well, we're really excited to be partnering with Dell. What we see that historically is, you know, AWS is focused on builders, people, and really the developer community who are building those components themselves, putting together really resilient infrastructure and applications. What we're seeing today is a shift also to the type of customers that we're seeing, more traditional enterprise customers, who are demanding really performance, the scalability, also the resiliency of what they had on-premises, and they want that on the Cloud as well. So with Dell, and we've got some great solutions that we're partnering on, including Dell PowerFlex that provides that linear scalability and some of the high performance capabilities that customers are demanding. And also, another big trend that we're seeing is customers being affected by things like unfortunately malware events, right, and data protection. So Dell provides some great solutions in both those areas that allow enterprise customers to really experience that mission critical capability and resiliency that they have on-premises in the Cloud. >> You know, Brian, we've been at this a long time. >> Brian: Oh yeah, great to see you again. >> And I've been hearing my whole career that storage is going to get commoditized. And I guess if you're talking about spinning discs or flash drives, it's probably true, but as Mark was just saying if you want resilient storage and things that are recoverable, that don't go down all the time, they're not commodities. >> Brian: Yeah. >> It's real engineering. And you built the stack up, so talk about how that connection, what value you bring to the Cloud and your customers. >> Yeah, so what we see is people are always looking out for enterprise grade capabilities. So there's going to be a set of offerings, and AWS has a fantastic foundation for building on top of with the marketplace. So what we're able to do is really bring, in some cases, decades worth of investment in software engineering and put these advanced capabilities, whether it be PowerFlex with its linear scale. We'll have a file offering very soon. These products have been built from the ground up to do a very unique purpose. Giving that to people in the Cloud is just another location for us, AWS being the market leader. We're the market leader in storage. So us working together for the benefit of customers is really where it's at. >> Can you double click on that, Brian, what Dell and AWS? Give us all those juicy details. >> Sure, sure, sure, so what we've done right before this show is we put a product called PowerFlex, if you go back to 2018 scale IO, and you're taking this really linear scaling software defined architecture, and you're putting that in the Cloud. What that allows you to do is get that really advanced linear scale performance. You can even span clusters across AWS regions, as well as zones. So it's a really unique capability that allows us to be able to check in and do that. And in the data protection space, it's a whole separate category. We've been at this actually quite a while. We've got about 14 exo bytes of data that's already being protected on the AWS Cloud. So we've been at that for quite a while. And the two levels are really, do you want to back that up? Do you want to take a traditional back up application, maybe it's a lift and shift, and I want to back it up the way I used to, and you can do that in the Cloud now. Or we're seeing cyber resiliency come up a lot more, and we were just talking right before, it's a question of when, not if, and so we have to give our customers the option to not only detect that failure event early, but also to separate that copy with a logical air gap. >> The cyber resiliency is a topic we are talking more and more about. It's absolutely critical. We've seen the threat landscape change dramatically in the last couple of years. To your point, Brian, it's no longer, when we think of ransomware, it's no longer are we going to get hit? It's when, it's how often. What's the damage going to be? I think I saw a stat recently that there's one ransomware attack every 11 seconds. The average cost of reaches is in the millions, so what you're doing together on cyber resiliency for businesses in any industry is table stakes. >> Yeah, we just saw a survey that, it was done earlier this year survey, 66% unfortunately of corporations have experienced a malware attack. And that's an 80% increase from last year. >> Lisa: Wow. >> So again, I think that's an opportunity. It's a threat, but an opportunity, and so the partnership with Dell really helps bridge that and helps our customers, our mutual customers, recover from those incidents. >> A lot of people might say, this is interesting. A storage guy from Amazon, a storage guy from Dell, two leaders. And one might think, why didn't they just throw in a dash three, right, but you guys are both customer driven, customer obsessed. In the field, what are customers saying to you in terms of how they want you to work together? >> Well I think there's a place for everything. When you say throw in to S3, so S3 today, one of the big trends when you're looking here is just the amount of data, you know, we hear that rhetoric, you know, we've been in storage for many years, and the data has all increased up and to the right. But, you know, AWSI, S3 today, we have over 280 trillion objects in our, driving a hundred million transactions per second right now, so that's scale. So there's always a place for those really, we have hundreds of thousands of customers running their data links, so that's always going to be that really, you know, highly reliable, highly durable, high available solution for data links. But customers, there's a lot of different applications out there. So where customers are asking are those enterpise. So we have EBS, for example, which is our great, you know, scalable block search, elastic block store. We introduced some new volume types, like GP2, GP2, and IO2VX, which will have that performance. But there's still single availability zone. So what customers have done historically is they maybe the application layer, they put an application layer replication or resiliency across, but customers on-prem, they've relied on storage layers to do that work for them. So, with PowerFlex, that'll stand either using instant storage or EBS, building on that really strong foundation, but provide that additional layer to make it easy for customers to get that resiliency and that scalability that Brian talked about. >> Yep, yep. >> Anything you can add to that? >> Yeah, I mean to your question, how do we work together is really, it's all customer driven. So we see customers that are shifting workloads in the Cloud for the first time. And it might make sense to take an object, like PowerFlex or another storage technology, maybe you want to compress it a little bit before you send it to the Cloud. Maybe you don't want to lift and shift everything. So we have a team of people that works very closely with AWS to be able to determine how are you going to shift that workload out there? Does this make the right sense for you? So it's a very collaborative relationship. And it's all very customer driven because our customers are saying, I've got assets in the public Cloud, and I want them to be managed in a similar fashion to how I'm doing that on-prem. >> So customer obsession is clearly on both sides there. We know that. >> It's where it starts. >> Exactly, exactly. Going back to PowerFlex for a second, Brian, and I'd love to get an example of a joint customer that really is showing the value of what Dell and AWS are doing together. The question for you on PowerFlex, talk about the value that it offers to the public Cloud. And why should customers start there if they are early in this journey? >> All right, yeah, so the two angles are basically, are you coming from PowerFlex or you're coming from Cloud. If you're Cloud native, the advantage would be things like a really, really advanced block file system that has been built from the ground up to be software defined and pretty much Cloud native. What you're getting is that really linear scale up to about 1,000 nodes. You can span that across regions, across availability zones, so it's highly resilient. So if there's a node failure in one site, you're going to rebuild really fast, depending on the size of that cluster. So it's a very advanced architecture that's been built to run, you know, we didn't have to change a single line of code to run this product in the Cloud because it was Cloud native by default, so. >> Well that's the thing. We also see, and you've seen that with some of the other solutions, but customers really want that. Enterprise customers are, they want us to make sure those mission critical applications are working and stay up. So they also want to use the same environment. So we were talking before, we also see use cases where maybe they're using PowerFlex on-premises today and they want to be able to replicate that to PowerFlex that's in the Cloud. So we're seeing those, and the familiarity with that infrastructure really is that easy path, if you will, for those more conservative mission critical customers. >> We've learned a lot over the years from AWS's entry into the marketplace. Two recent teams working backwards. We talk about customer obsession. And also the Cloud experience. It brings me to APEX. >> Oh yeah. >> Dave: How does APEX fit in here? >> Yeah, so APEX is the categorization for all the things that we're doing around a modern Cloud experience for Dell customers. So we're taking them also on a journey, kind of as a service model. There's a do-it-yourself model. And anything that we do that touches Cloud is now being kind of put under that APEX moniker. So everything that we're doing around Project Alpine, enterprise software capabilities in the Cloud. Do you want someone else to manage it for you? Do you want it in a polo? That might be the right fit for you. It's all under that APEX umbrella and journey. So we're kind of still just getting started there, but we're seeing a lot of great traction. People want to pay as they go, you know, it's a very popular model that AWS has pretty much set the foundation for. So pay as you go, utility based pricing, this is all things our customers have been asking for. >> Yeah, so APEX, you basically set a baseline. You can dial it up, dial it down, very much pay by the drink. >> Absolutely. >> And, you know, like you said, it's early days. >> Brian: Yeah. >> But that's, again, AWS has influenced the business in a lot of different ways. >> Again, with the Dell, you know, the trust customers that Dell has built over the years and having those customers come in. We obviously are getting, again, it's an accelerated option for financial services to healthcare and all these customers that have relied on Dell for years, moving to the Cloud, having that trusted name and also that infrastructure that's similar and familiar to them. And then the resilience of the foundation that we have at AWS, I think it works really well together for those customers. >> I think it underscores to the majority of both AWS and in a lot of ways Dell, right. In the early days of Cloud, it was like uh oh, and now it's like oh, actually big market. Customers are demanding this. There's new value that we can create working together. Let's do it. >> Yeah, I mean, it didn't take us that long to get to it, but I'd say we had little fits and starts over the years, and now we've recognized like, this is where the future is. It's going to be Cloud, it's going to be on-prem, it's going to be Edge, it's going to be everything. It's going to be an and world. And so just doing the right thing for customers I think is exactly where we landed. It's a great partnership. >> Do you have a favorite customer story that you think really shines the light on the value of the Dell AWS partnership in terms of the business impact they're making? >> We have several large customers that I can't always like drop the names, but one of them is a very large video game production company. And we do a lot of work together where they're rendering maybe in house, they're sending to a shared location. They're copying data over to S3. They're able to let all their editors access that. They bring it back when it's compressed down a little bit and deliver that. We're also doing a lot of work with, I think I can say this, Amazon Thursday night football games. So what they've done there, it's a partner of ours working with AWS. All the details inside of that roaming truck that they drive around, there's a lot of Dell gear within there, and then everything connects back to AWS for that exact same kind of model. We need to get to the editors on a nightly basis. They're also streaming directly form that truck while they're enabling the editors to access a shared copy of it, so it's really powerful stuff. >> Thursday night prime is pretty cool. You know, some people are complaining cause I can't just switch channels during the commercials. It's like, first of all, you can. Second of all, the stats are unbelievable, right. You can just do your own replay when you want to. There's some cool innovations there. >> Oh yeah, absolutely. >> Very cool innovations. I've got one more question for each of you before we wrap. Marc, a question for you, we're making a fun Instagram reel. So think about a sizzle reel of if you were to summarize the show so far, what is AWS's message to its massive audience this year? >> Well, that's a big question. Because we have such a wide, as we mentioned, such a wide ranging audience. I really see a couple key trends that we're trying to address. One is, again don't forget, I'm a storage guy, so it's going to come from an angle from data, right. So, I think it's just this volume of data and that customers are bringing into the Cloud, either moving in from enterprises today or organically, just growing. You know, a couple years ago, megabytes were a lot, and now, you know, we're talking about petabytes every day. Soon it's going to be exo bytes are going to become the norm. So the big, I'd say, point one is the trend that I see is just the volume of data. And so what we're doing to address that is obviously we talked a little bit about S3 and being able to manage volumes of data, but also things like DataZone that we introduced because customers are looking to make sure that the right governance and controls to be able to access that data. So I think that's one big thing that I see the theme for the show today. The second thing is around, as I said, really these enterprise customers really wanted to move in these mission critical applications into the Cloud, and having that infrastructure to be able to support that easily from what they're doing today and move in quickly. The third area is around data protection, making sure the data protection and malware recovery, that's the theme that we see is really unfortunately that's today. But being able to recover quickly, both having native services and native offerings just built in resiliency into the core platforms, like S3 with object application, et cetera. And also partnering with Dell with cyber recovery and some of the solutions with Dell. >> Excellent, and Brian, last question for you. A bumper sticker that succinctly and powerfully describes why Dell and AWS are such awesome partners for customer issues. >> Best of both worlds, right? >> Lisa: Mic drop. >> Mic drop, done. >> That's awesome. You said that a lot more succinctly. (people laughing) >> Enterprise in Cloud, Cloud comin' to enterprise. >> Yeah, leader meets leader, right? >> Yeah, right. >> Love it, leader meets leader. Guys, it's been a pleasure having you on theCUBE. We appreciate hearing the latest from AWS and Dell from a storage perspective and from a Cloud perspective and how you're helping customers manage the explosion of data that's not going to slow down. We really appreciate you coming by the set. >> Thank you. >> Great, thanks so much, appreciate it. >> My pleasure. For our guests and Dave Vellante, I'm Lisa Martin, you're watching theCUBE, the leader in live enterprise and emerging tech coverage. (techno music)

Published Date : Nov 30 2022

SUMMARY :

One of the things we love Feeling the energy of the show. Every customer, every industry is on one that software in the Cloud, Awesome, Mark, talk about the role and really the developer community You know, Brian, we've that don't go down all the how that connection, what value you bring Giving that to people in the Cloud Can you double click on that, Brian, putting that in the Cloud. What's the damage going to be? Yeah, we just saw a survey that, and so the partnership with customers saying to you is just the amount of data, you know, I've got assets in the public Cloud, So customer obsession is that really is showing the value that has been built from the ground up replicate that to PowerFlex And also the Cloud experience. And anything that we do that touches Cloud Yeah, so APEX, you And, you know, like has influenced the business that Dell has built over the years In the early days of and starts over the years, the editors to access Second of all, the stats the show so far, what is AWS's message and some of the solutions with Dell. A bumper sticker that succinctly You said that a lot more succinctly. Cloud comin' to enterprise. We appreciate hearing the the leader in live enterprise

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

Dave VellantePERSON

0.99+

Marc TrimuschatPERSON

0.99+

DavePERSON

0.99+

AWSORGANIZATION

0.99+

Brian HendersonPERSON

0.99+

BrianPERSON

0.99+

DellORGANIZATION

0.99+

LisaPERSON

0.99+

AmazonORGANIZATION

0.99+

80%QUANTITY

0.99+

MarkPERSON

0.99+

two leadersQUANTITY

0.99+

66%QUANTITY

0.99+

Monday nightDATE

0.99+

two anglesQUANTITY

0.99+

MarcPERSON

0.99+

2018DATE

0.99+

Dell TechnologiesORGANIZATION

0.99+

last yearDATE

0.99+

both sidesQUANTITY

0.99+

bothQUANTITY

0.99+

second thingQUANTITY

0.99+

two levelsQUANTITY

0.99+

one siteQUANTITY

0.99+

S3TITLE

0.99+

first timeQUANTITY

0.98+

third areaQUANTITY

0.98+

oneQUANTITY

0.98+

millionsQUANTITY

0.98+

eachQUANTITY

0.98+

Thursday nightDATE

0.98+

one more questionQUANTITY

0.98+

over 280 trillion objectsQUANTITY

0.98+

Fred Wurden and Narayan Bharadwaj Accelerating Business Transformation with VMware Cloud on AWS


 

(upbeat music) >> Hello everyone, welcome to this CUBE Showcase, accelerating business transformation with VMware Cloud on AWS. It's a solution innovation conversation with two great guests, Fred Wurden, VP of Commercial Services at AWS and Narayan Bharadwaj, who's the VP and General Manager of Cloud Solutions at VMware. Gentlemen, thanks for joining me on the showcase. >> Great to be here. >> Great. Thanks for having us on. It's a great topic. >> We've been covering this VMware cloud on AWS since the launch going back and it's been amazing to watch the evolution from people saying, Oh, it's the worst thing I've ever seen. What's this mean? And the press were not really on board with the vision, but as it played out as you guys had announced together, it did work out great for VMware. It did work out great for AWS and it continues two years later and I want to just get an update from you guys on where you guys see this has been going. I'll see multiple years. Where is the evolution of the solution as we are right now coming off VMware explorer just recently and going in to re:Invent, which is only a couple weeks away Feels like tomorrow. But as we prepare, a lot going on. Where are we with the evolution of the solution? >> I mean, first thing I want to say is October 2016 was a seminal moment in the history of IT. When Pat Gelsinger and Andy Jassy came together to announce this. And I think John, you were there at the time I was there. It was a great, great moment. We launched the solution in 2017 year after that at VMworld, back when we called it VMworld. I think we have gone from strength to strength. One of the things that has really mattered to us is we've learned from AWS also in the processes, this notion of working backwards. So we really, really focused on customer feedback as we built a service offering now five years old. Pretty remarkable journey. In the first years we tried to get across all the regions, that was a big focus because there was so much demand for it. In the second year, we started going really on enterprise great features. We invented this pretty awesome feature called Stretched Clusters, where you could stretch a vSphere cluster using vSAN and NSX-T across to AZs in the same region. Pretty phenomenal four nines of availability that applications started to get with that particular feature. And we kept moving forward, all kinds of integration with AWS Direct Connect, Transit Gateways with our own advanced networking capabilities. Along the way, Disaster Recovery, we punched out two new services just focused on that. And then more recently we launched our Outposts partnership. We were up on stage at re:Invent, again, with Pat and Andy announcing AWS Outposts and the VMware flavor of that, VMware Cloud and AWS Outposts. I think it's been significant growth in our federal sector as well with our federal and high certification more recently. So all in all, we are super excited. We're five years old. The customer momentum is really, really strong and we are scaling the service massively across all geos and industries. >> That's great, great update. And I think one of the things that you mentioned was how the advantages you guys got from that relationship. And this has been the theme for AWS, man, since I can remember from day one, Fred. You guys do the heavy lifting as you always say for the customers. Here, VMware comes on board. Takes advantage of the AWS and just doesn't miss a beat. Continues to move their workloads that everyone's using, vSphere, and these are big workloads on AWS. What's the AWS perspective on this? How do you see it? >> Yeah, it's pretty fascinating to watch how fast customers can actually transform and move when you take the skill set that they're familiar with and the advanced capabilities that they've been using on-prem and then overlay it on top of the AWS infrastructure that's evolving quickly and building out new hardware and new instances we'll talk about. But that combined experience between both of us on a jointly engineered solution to bring the best security and the best features that really matter for those workloads drive a lot of efficiency and speed for the customers. So it's been well received and the partnership is stronger than ever from an engineering standpoint, from a business standpoint. And obviously it's been very interesting to look at just how we stay day one in terms of looking at new features and work and responding to what customers want. So pretty excited about just seeing the transformation and the speed that which customers can move to while at VMC. >> That's a great value proposition. We've been talking about that in context to anyone building on top of the cloud. They can have their own supercloud, as we call it, if you take advantage of all the CapEx and investment Amazon's made and AWS has made and continues to make in performance IaaS and PaaS, all great stuff. I have to ask you guys both as you guys see this going to the next level, what are some of the differentiations you see around the service compared to other options in the market? What makes it different? What's the combination? You mentioned jointly engineered. What are some of the key differentiators of the service compared to others? >> Yeah. I think one of the key things Fred talked about is this jointly engineered notion. Right from day one we were the early adopters of the AWS Nitro platform. The reinvention of EC2 back five years ago. And so we have been having a very, very strong engineering partnership at that level. I think from a VMware customer standpoint, you get the full software-defined data center, compute storage networking on EC2, bare metal across all regions. You can scale that elastically up and down. It's pretty phenomenal just having that consistency globally on AWS EC2 global regions. Now the other thing that's a real differentiator for us, what customers tell us about is this whole notion of a managed service. And this was somewhat new to VMware. But we took away the pain of this undifferentiated heavy lifting where customers had to provision rack stack hardware, configure the software on top, and then upgrade the software and the security patches on top. So we took away all of that pain as customers transitioned to VMware cloud in AWS. In fact, my favorite story from last year when we were all going through the Log4j debacle. Industry was just going through that. Favorite proof point from customers was before they could even race this issue to us, we sent them a notification saying, we already patched all of your systems, no action from you. The customers were super thrilled. I mean, these are large banks. Many other customers around the world were super thrilled they had to take no action, but a pretty incredible industry challenge that we were all facing. >> Narayan, that's a great point. The whole managed service piece brings up the security. You kind of teasing at it, but there's always vulnerabilities that emerge when you are doing complex logic. And as you grow your solutions, there's more bits. Fred, we were commenting before we came on camera more bits than ever before and at the physics layer too, as well as the software. So you never know when there's going to be a zero-day vulnerability out there. It happens. We saw one with Fortinet this week. This came out of the woodwork. But moving fast on those patches, it's huge. This brings up the whole support angle. I wanted to ask you about how you guys are doing that as well, because to me, we see the value when we talk to customers on theCUBE about this. It was a real easy understanding of what the cloud means to them with VMware now with the AWS. But the question that comes up that we want to get more clarity on is how do you guys handle support together? >> Well, what's interesting about this is that it's done mutually. We have dedicated support teams on both sides that work together pretty seamlessly to make sure that whether there's a issue at any layer, including all the way up into the app layer, as you think about some of the other workloads like SAP, we'll go end-to-end and make sure that we support the customer regardless of where the particular issue might be for them. And on top of that, we look at where we're improving reliability in as a first order of principle between both companies. So from availability and reliability standpoint, it's top of mind and no matter where the particular item might land, we're going to go help the customer resolve that. It works really well. >> On the VMware side, what's been the feedback there? What are some of the updates? >> Yeah, I think, look, I mean, VMware owns and operates the service, but we work phenomenal backend relationship with AWS. Customers call VMware for the service or any issues. And then we have a awesome relationship with AWS on the backend for support issues or any hardware issues. The key management that we jointly do. All of the hard problems that customers don't have to worry about. I think on the front end, we also have a really good group of solution architects across the companies that help to really explain the solution, do complex things like cloud migration, which is much, much easier with the VMware Cloud in AWS. We're presenting that easy button to the public cloud in many ways. And so we have a whole technical audience across the two companies that are working with customers every single day. >> You had mentioned, I've got list here of some of the innovations. You mentioned the stretch clustering, getting the geos working, advanced network, Disaster Recovery, FedRAMP, public sector certifications, Outposts. All good, you guys are checking the boxes every year. You got a good accomplishments list there on the VMware AWS side here in this relationship. The question that I'm interested in is what's next? What recent innovations are you doing? Are you making investments in? What's on the list this year? What items will be next year? How do you see the new things, the list of accomplishments? People want to know what's next. They don't want to see stagnant growth here. They want to see more action as cloud continues to scale and modern applications cloud native. You're seeing more and more containers, more and more CI/CD pipelining with modern apps, put more pressure on the system. What's new? What's the new innovations? >> Absolutely. And I think as a five year old service offering, innovation is top of mind for us every single day. So just to call out a few recent innovations that we announced in San Francisco at VMware Explore. First of all, our new platform i4i.metal. It's isolate based. It's pretty awesome. It's the latest and greatest, all the speeds and feeds that we would expect from VMware and AWS at this point in our relationship. We announced two different storage options. This notion of working from customer feedback, allowing customers even more price reductions, really take off that storage and park it externally and separate that from compute. So two different storage offerings there. One is with AWS FSx with NetApp ONTAP, which brings in our NetApp partnership as well into the equation and really get that NetApp based really excited about this offering as well. And the second storage offering called VMware Cloud Flex Storage. VMware's own managed storage offering. Beyond that, we have done a lot of other innovations as well. I really wanted to talk about VMware Cloud Flex Compute where previously customers could only scale by hosts and a host is 36 to 48 cores, give or take. But with VMware Cloud Flex Compute, we are now allowing this notion of a resource defined compute model where customers can just get exactly the vCPU memory and storage that maps to the applications, however small they might be. So this notion of granularity is really a big innovation that we are launching in the market this year. And then last but not least, top of ransomware. Of course it's a hot topic in the industry. We are seeing many, many customers ask for this. We are happy to announce a new ransomware recovery with our VMware Cloud DR solution. A lot of innovation there and the way we are able to do machine learning and make sure the workloads that are covered from snapshots and backups are actually safe to use. So there's a lot of differentiation on that front as well. A lot of networking innovations with Project Northstar. Our ability to have layer four through layer seven, new SaaS services in that area as well. Keep in mind that the service already supports managed Kubernetes for containers. It's built in to the same clusters that have virtual machines. And so this notion of a single service with a great TCO for VMs and containers is sort at the heart of our (faintly speaking). >> The networking side certainly is a hot area to keep innovating on. Every year it's the same, same conversation, get better faster, networking more options there. The Flex Compute is interesting. If you don't mind me getting a quick clarification, could you explain the resource-defined versus hardware-defined? Because this is what we had saw at Explore coming out, that notion of resource-defined versus hardware-defined. What does that mean? >> Yeah, I mean I think we have been super successful in this hardware-defined notion. We we're scaling by the hardware unit that we present as software-defined data centers. And so that's been super successful. But customers wanted more, especially customers in different parts of the world wanted to start even smaller and grow even more incrementally. Lower the cost even more. And so this is the part where resource-defined starts to be very, very interesting as a way to think about, here's my bag of resources exactly based on what the customers request before fiber machines, five containers. It's size exactly for that. And then as utilization grows, we elastically behind the scenes, we're able to grow it through policies. So that's a whole different dimension. That's a whole different service offering that adds value and customers are comfortable. They can go from one to the other. They can go back to that host based model if they so choose to. And there's a jump off point across these two different economic models. >> It's cloud flexibility right there. I like the name. Fred, let's get into some of the examples of customers, if you don't mind, let's get into some of the, we have some time. I want to unpack a little bit of what's going on with the customer deployments. One of the things we've heard again on theCUBE is from customers is they like the clarity of the relationship, they love the cloud positioning of it. And then what happens is they lift and shift the workloads and it's like feels great. It's just like we're running VMware on AWS and then they start consuming higher level services. That adoption next level happens and because it's in the cloud. So can you guys take us through some recent examples of customer wins or deployments where they're using VMware cloud on AWS on getting started and then how do they progress once they're there? How does it evolve? Can you just walk us through a couple use cases? >> Sure. Well, there's a couple. One, it's pretty interesting that like you said, as there's more and more bits, you need better and better hardware and networking. And we're super excited about the i4 and the capabilities there in terms of doubling and or tripling what we're doing around lower variability on latency and just improving all the speeds. But what customers are doing with it, like the college in New Jersey, they're accelerating their deployment on onboarding over like 7,400 students over a six to eight month period. And they've really realized a ton of savings. But what's interesting is where and how they can actually grow onto additional native services too. So connectivity to any other services is available as they start to move and migrate into this. The options there obviously are tied to all the innovation that we have across any services, whether it's containerized and with what they're doing with Tanzu or with any other container and or services within AWS. So there's some pretty interesting scenarios where that data and or the processing, which is moved quickly with full compliance, whether it's in like healthcare or regulatory business is allowed to then consume and use things, for example, with Textract or any other really cool service that has monthly and quarterly innovations. So there's things that you just could not do before that are coming out and saving customers money and building innovative applications on top of their current app base in a rapid fashion. So pretty excited about it. There's a lot of examples. I think I probably don't have time to go into too many here. But that's actually the best part is listening to customers and seeing how many net new services and new applications are they actually building on top of this platform. >> Narayan, what's your perspective from the VMware side? 'Cause you guys have now a lot of headroom to offer customers with Amazon's higher level services and or whatever's homegrown where it's being rolled out 'cause you now have a lot of hybrid too. So what's your take on what's happening in with customers? >> I mean, it's been phenomenal. The customer adoption of this and banks and many other highly sensitive verticals are running production-grade applications, tier one applications on the service over the last five years. And so I have a couple of really good examples. S&P Global is one of my favorite examples. Large bank, they merge with IHS Markit, big conglomeration now. Both customers were using VMware Cloud and AWS in different ways. And with the use case, one of their use cases was how do I just respond to these global opportunities without having to invest in physical data centers? And then how do I migrate and consolidate all my data centers across the global, which there were many. And so one specific example for this company was how they migrated 1000 workloads to VMware Cloud and AWS in just six weeks. Pretty phenomenal if you think about everything that goes into a cloud migration process, people process technology. And the beauty of the technology going from VMware point A to VMware point B. The lowest cost, lowest risk approach to adopting VMware Cloud and AWS. So that's one of my favorite examples. There are many other examples across other verticals that we continue to see. The good thing is we are seeing rapid expansion across the globe, but constantly entering new markets with a limited number of regions and progressing our roadmap. >> It's great to see. I mean, the data center migrations go from months, many, many months to weeks. It's interesting to see some of those success stories. Congratulations. >> One of the other interesting fascinating benefits is the sustainability improvement in terms of being green. So the efficiency gains that we have both in current generation and new generation processors and everything that we're doing to make sure that when a customer can be elastic, they're also saving power, which is really critical in a lot of regions worldwide at this point in time. They're seeing those benefits. If you're running really inefficiently in your own data center, that is not a great use of power. So the actual calculators and the benefits to these workloads are pretty phenomenal just in being more green, which I like. We just all need to do our part there and this is a big part of it here. >> It's a huge point about the sustainability. Fred, I'm glad you called that out. The other one I would say is supply chain issue is another one. You see that constraints. I can't buy hardware. And the third one is really obvious, but no one really talks about it. It's security. I mean, I remember interviewing Steven Schmidt with that AWS and many years ago, this is like 2013 and at that time people were saying, the cloud's not secure. And he's like, listen, it's more secure in the cloud on-premise. And if you look at the security breaches, it's all about the on-premise data center vulnerabilities, not so much hardware. So there's a lot, the stay current on the isolation there is hard. So I think the security and supply chain, Fred, is another one. Do you agree? >> I absolutely agree. It's hard to manage supply chain nowadays. We put a lot of effort into that and I think we have a great ability to forecast and make sure that we can lean in and have the resources that are available and run them more efficiently. And then like you said on the security point, security is job one. It is the only P1. And if you think of how we build our infrastructure from Nitro all the way up and how we respond and work with our partners and our customers, there's nothing more important. >> And Narayan, your point earlier about the managed service patching and being on top of things is really going to get better. All right, final question. I really want to thank you for your time on this showcase. It's really been a great conversation. Fred, you had made a comment earlier. I want to end with a curve ball and put you eyes on the spot. We're talking about a new modern shift. We're seeing another inflection point. We've been documenting it. It's almost like cloud hitting another inflection point with application and open source growth significantly at the app layer. Continue to put a lot of pressure and innovation in the infrastructure side. So the question is for you guys each to answer is, what's the same and what's different in today's market? So it's like we want more of the same here, but also things have changed radically and better here. What's changed for the better and what's still the same thing hanging around that people are focused on? Can you share your perspective? >> I'll tackle it. Businesses are complex and they're often unique, that's the same. What's changed is how fast you can innovate. The ability to combine managed services and new innovative services and build new applications is so much faster today. Leveraging world class hardware that you don't have to worry about, that's elastic. You could not do that even five, 10 years ago to the degree you can today, especially with innovation. So innovation is accelerating at a rate that most people can't even comprehend and understand the set of services that are available to them. It's really fascinating to see what a one pizza team of engineers can go actually develop in a week. It is phenomenal. So super excited about this space and it's only going to continue to accelerate that. That's my take, Narayan. >> You got a lot of platform to compete on. With Amazon, you got a lot to build on. Narayan, your side. What's your answer to that question? >> I think we are seeing a lot of innovation with new applications that customers are constantly (faintly speaking). I think what we see is this whole notion of how do you go from desktop to production to the secure supply chain and how can we truly build on the agility that developers desire and build all the security and the pipelines to energize that production quickly and efficiently. I think we are seeing, we are at the very start of that sort of journey. Of course, we have invested in Kubernetes, the means to an end, but we're so much more beyond that's happening in industry and I think we're at the very, very beginning of this transformations, enterprise transformation that many of our customers are going through and we are inherently part of it. >> Well, gentlemen, I really appreciate that we're seeing the same thing. It's more the same here on solving these complexities with distractions, whether it's higher level services with large scale infrastructure. At your fingertips, infrastructure as code, infrastructure to be provisioned, serverless, all the good stuff happen and Fred with AWS on your side. And we're seeing customers resonate with this idea of being an operator again, being a cloud operator and developer. So the developer ops is kind of, DevOps is changing too. So all for the better. Thank you for spending the time and we're seeing again that traction with the VMware customer base and AWS getting along great together. So thanks for sharing your perspectives. >> We appreciate it. Thank you so much. >> Thank you John. >> This is theCUBE and AWS VMware showcase accelerating business transformation, VMware Cloud on AWS. Jointly engineered solution bringing innovation to the VMware customer base, going to the cloud and beyond. I'm John Furrier, your host. Thanks for watching. (gentle music)

Published Date : Nov 1 2022

SUMMARY :

joining me on the showcase. It's a great topic. and going in to re:Invent, and the VMware flavor of that, Takes advantage of the AWS and the speed that which customers around the service compared to and the security patches on top. and at the physics layer too, the other workloads like SAP, All of the hard problems What's on the list this year? and the way we are able to do to keep innovating on. in different parts of the world and because it's in the cloud. and just improving all the speeds. perspective from the VMware side? And the beauty of the technology I mean, the data center So the efficiency gains that we have And the third one is really obvious, and have the resources that are available So the question is for you and it's only going to platform to compete on. and the pipelines to energize So all for the better. Thank you so much. the VMware customer base,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
AWSORGANIZATION

0.99+

Steven SchmidtPERSON

0.99+

Fred WurdenPERSON

0.99+

VMwareORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

Narayan BharadwajPERSON

0.99+

Andy JassyPERSON

0.99+

PatPERSON

0.99+

36QUANTITY

0.99+

October 2016DATE

0.99+

JohnPERSON

0.99+

John FurrierPERSON

0.99+

FredPERSON

0.99+

2013DATE

0.99+

AndyPERSON

0.99+

San FranciscoLOCATION

0.99+

two companiesQUANTITY

0.99+

New JerseyLOCATION

0.99+

last yearDATE

0.99+

Pat GelsingerPERSON

0.99+

five yearsQUANTITY

0.99+

six weeksQUANTITY

0.99+

both companiesQUANTITY

0.99+

1000 workloadsQUANTITY

0.99+

S&P GlobalORGANIZATION

0.99+

OneQUANTITY

0.99+

oneQUANTITY

0.99+

2017 yearDATE

0.99+

both sidesQUANTITY

0.99+

VMworldORGANIZATION

0.99+

next yearDATE

0.99+

48 coresQUANTITY

0.99+

this yearDATE

0.99+

third oneQUANTITY

0.98+

two years laterDATE

0.98+

NarayanPERSON

0.98+

FortinetORGANIZATION

0.98+

bothQUANTITY

0.98+

Both customersQUANTITY

0.98+

NetAppTITLE

0.98+

EC2TITLE

0.98+

five containersQUANTITY

0.98+

7,400 studentsQUANTITY

0.98+

Project NorthstarORGANIZATION

0.98+

tomorrowDATE

0.98+

Accelerating Business Transformation with VMware Cloud on AWS 10 31


 

>>Hi everyone. Welcome to the Cube special presentation here in Palo Alto, California. I'm John Foer, host of the Cube. We've got two great guests, one for calling in from Germany, our videoing in from Germany, one from Maryland. We've got VMware and aws. This is the customer successes with VMware cloud on AWS showcase, accelerating business transformation here in the showcase with Samir Candu Worldwide. VMware strategic alliance solution, architect leader with AWS Samir. Great to have you and Daniel Re Myer, principal architect global AWS synergy at VMware. Guys, you guys are, are working together. You're the key players in the re relationship as it rolls out and continues to grow. So welcome to the cube. >>Thank you. Greatly appreciate it. >>Great to have you guys both on, As you know, we've been covering this since 2016 when Pat Geling, then CEO and then then CEO AWS at Andy Chasy did this. It kind of got people by surprise, but it really kind of cleaned out the positioning in the enterprise for the success. OFM workloads in the cloud. VMware's had great success with it since, and you guys have the great partnerships. So this has been like a really strategic, successful partnership. Where are we right now? You know, years later we got this whole inflection point coming. You're starting to see, you know, this idea of higher level services, more performance are coming in at the infrastructure side. More automation, more serverless, I mean, and a, I mean it's just getting better and better every year in the cloud. Kinda a whole nother level. Where are we, Samir? Let's start with you on, on the relationship. >>Yeah, totally. So I mean, there's several things to keep in mind, right? So in 2016, right, that's when the partnership between AWS and VMware was announced, and then less than a year later, that's when we officially launched VMware cloud on aws. Years later, we've been driving innovation, working with our customers, jointly engineering this between AWS and VMware day in, day out. As far as advancing VMware cloud on aws. You know, even if you look at the innovation that takes place with a solution, things have modernized, things have changed, there's been advancements, you know, whether it's security focus, whether it's platform focus, whether it's networking focus, there's been modifications along the way, even storage, right? More recently, one of the things to keep in mind is we're looking to deliver value to our customers together. These are our joint customers. So there's hundreds of VMware and AWS engineers working together on this solution. >>And then factor in even our sales teams, right? We have VMware and AWS sales teams interacting with each other on a constant daily basis. We're working together with our customers at the end of the day too. Then we're looking to even offer and develop jointly engineered solutions specific to VMware cloud on aws, and even with VMware's, other platforms as well. Then the other thing comes down to is where we have dedicated teams around this at both AWS and VMware. So even from solutions architects, even to our sales specialists, even to our account teams, even to specific engineering teams within the organizations, they all come together to drive this innovation forward with VMware cloud on AWS and the jointly engineered solution partnership as well. And then I think one of the key things to keep in mind comes down to we have nearly 600 channel partners that have achieved VMware cloud on AWS service competency. So think about it from the standpoint there's 300 certified or validated technology solutions, they're now available to our customers. So that's even innovation right off the top as well. >>Great stuff. Daniel, I wanna get to you in a second. Upon this principal architect position you have in your title, you're the global a synergy person. Synergy means bringing things together, making it work. Take us through the architecture, because we heard a lot of folks at VMware explore this year, formerly world, talking about how the, the workloads on it has been completely transforming into cloud and hybrid, right? This is where the action is. Where are you? Is your customers taking advantage of that new shift? You got AI ops, you got it. Ops changing a lot, you got a lot more automation edges right around the corner. This is like a complete transformation from where we were just five years ago. What's your thoughts on the >>Relationship? So at at, at first, I would like to emphasize that our collaboration is not just that we have dedicated teams to help our customers get the most and the best benefits out of VMware cloud on aws. We are also enabling US mutually. So AWS learns from us about the VMware technology, where VMware people learn about the AWS technology. We are also enabling our channel partners and we are working together on customer projects. So we have regular assembled globally and also virtually on Slack and the usual suspect tools working together and listening to customers, that's, that's very important. Asking our customers where are their needs? And we are driving the solution into the direction that our customers get the, the best benefits out of VMware cloud on aws. And over the time we, we really have involved the solution. As Samia mentioned, we just added additional storage solutions to VMware cloud on aws. We now have three different instance types that cover a broad range of, of workload. So for example, we just added the I four I host, which is ideally for workloads that require a lot of CPU power, such as you mentioned it, AI workloads. >>Yeah. So I wanna guess just specifically on the customer journey and their transformation. You know, we've been reporting on Silicon angle in the queue in the past couple weeks in a big way that the OPS teams are now the new devs, right? I mean that sounds OP a little bit weird, but operation IT operations is now part of the, a lot more data ops, security writing code composing, you know, with open source, a lot of great things are changing. Can you share specifically what customers are looking for when you say, as you guys come in and assess their needs, what are they doing? What are some of the things that they're doing with VMware on AWS specifically that's a little bit different? Can you share some of and highlights there? >>That, that's a great point because originally VMware and AWS came from very different directions when it comes to speaking people at customers. So for example, aws very developer focused, whereas VMware has a very great footprint in the IT ops area. And usually these are very different, very different teams, groups, different cultures, but it's, it's getting together. However, we always try to address the customers, right? There are customers that want to build up a new application from the scratch and build resiliency, availability, recoverability, scalability into the application. But there are still a lot of customers that say, well we don't have all of the skills to redevelop everything to refactor an application to make it highly available. So we want to have all of that as a service, recoverability as a service, scalability as a service. We want to have this from the infrastructure. That was one of the unique selling points for VMware on premise and now we are bringing this into the cloud. >>Samir, talk about your perspective. I wanna get your thoughts, and not to take a tangent, but we had covered the AWS remar of, actually it was Amazon res machine learning automation, robotics and space. It was really kinda the confluence of industrial IOT software physical. And so when you look at like the IT operations piece becoming more software, you're seeing things about automation, but the skill gap is huge. So you're seeing low code, no code automation, you know, Hey Alexa, deploy a Kubernetes cluster. Yeah, I mean, I mean that's coming, right? So we're seeing this kind of operating automation meets higher level services meets workloads. Can you unpack that and share your opinion on, on what you see there from an Amazon perspective and how it relates to this? >>Yeah, totally. Right. And you know, look at it from the point of view where we said this is a jointly engineered solution, but it's not migrating to one option or the other option, right? It's more or less together. So even with VMware cloud on aws, yes it is utilizing AWS infrastructure, but your environment is connected to that AWS VPC in your AWS account. So if you wanna leverage any of the native AWS services, so any of the 200 plus AWS services, you have that option to do so. So that's gonna give you that power to do certain things, such as, for example, like how you mentioned with iot, even with utilizing Alexa or if there's any other service that you wanna utilize, that's the joining point between both of the offerings. Right off the top though, with digital transformation, right? You, you have to think about where it's not just about the technology, right? There's also where you want to drive growth in the underlying technology. Even in your business leaders are looking to reinvent their business. They're looking to take different steps as far as pursuing a new strategy. Maybe it's a process, maybe it's with the people, the culture, like how you said before, where people are coming in from a different background, right? They may not be used to the cloud, they may not be used to AWS services, but now you have that capability to mesh them together. Okay. Then also, Oh, >>Go ahead, finish >>Your thought. No, no, I was gonna say, what it also comes down to is you need to think about the operating model too, where it is a shift, right? Especially for that VS four admin that's used to their on-premises at environment. Now with VMware cloud on aws, you have that ability to leverage a cloud, but the investment that you made and certain things as far as automation, even with monitoring, even with logging, yeah. You still have that methodology where you can utilize that in VMware cloud on AWS two. >>Danielle, I wanna get your thoughts on this because at at explore and, and, and after the event, now as we prep for Cuban and reinvent coming up the big AWS show, I had a couple conversations with a lot of the VMware customers and operators and it's like hundreds of thousands of, of, of, of users and millions of people talking about and and peaked on VM we're interested in v VMware. The common thread was one's one, one person said, I'm trying to figure out where I'm gonna put my career in the next 10 to 15 years. And they've been very comfortable with VMware in the past, very loyal, and they're kind of talking about, I'm gonna be the next cloud, but there's no like role yet architects, is it Solution architect sre. So you're starting to see the psychology of the operators who now are gonna try to make these career decisions, like how, what am I gonna work on? And it's, and that was kind of fuzzy, but I wanna get your thoughts. How would you talk to that persona about the future of VMware on, say, cloud for instance? What should they be thinking about? What's the opportunity and what's gonna happen? >>So digital transformation definitely is a huge change for many organizations and leaders are perfectly aware of what that means. And that also means in, in to to some extent, concerns with your existing employees. Concerns about do I have to relearn everything? Do I have to acquire new skills? And, and trainings is everything worthless I learned over the last 15 years of my career? And the, the answer is to make digital transformation a success. We need not just to talk about technology, but also about process people and culture. And this is where VMware really can help because if you are applying VMware cloud on a, on AWS to your infrastructure, to your existing on-premise infrastructure, you do not need to change many things. You can use the same tools and skills, you can manage your virtual machines as you did in your on-premise environment. You can use the same managing and monitoring tools. If you have written, and many customers did this, if you have developed hundreds of, of scripts that automate tasks and if you know how to troubleshoot things, then you can use all of that in VMware cloud on aws. And that gives not just leaders, but but also the architects at customers, the operators at customers, the confidence in, in such a complex project, >>The consistency, very key point, gives them the confidence to go and, and then now that once they're confident they can start committing themselves to new things. Samir, you're reacting to this because you know, on your side you've got higher level services, you got more performance at the hardware level. I mean, lot improvement. So, okay, nothing's changed. I can still run my job now I got goodness on the other side. What's the upside? What's in it for the, for the, for the customer there? >>Yeah, so I think what it comes down to is they've already been so used to or entrenched with that VMware admin mentality, right? But now extending that to the cloud, that's where now you have that bridge between VMware cloud on AWS to bridge that VMware knowledge with that AWS knowledge. So I will look at it from the point of view where now one has that capability and that ability to just learn about the cloud, but if they're comfortable with certain aspects, no one's saying you have to change anything. You can still leverage that, right? But now if you wanna utilize any other AWS service in conjunction with that VM that resides maybe on premises or even in VMware cloud on aws, you have that option to do so. So think about it where you have that ability to be someone who's curious and wants to learn. And then if you wanna expand on the skills, you certainly have that capability to do so. >>Great stuff. I love, love that. Now that we're peeking behind the curtain here, I'd love to have you guys explain, cuz people wanna know what's goes on in behind the scenes. How does innovation get happen? How does it happen with the relationship? Can you take us through a day in the life of kind of what goes on to make innovation happen with the joint partnership? You guys just have a zoom meeting, Do you guys fly out, you write go do you ship thing? I mean I'm making it up, but you get the idea, what's the, what's, how does it work? What's going on behind the scenes? >>So we hope to get more frequently together in person, but of course we had some difficulties over the last two to three years. So we are very used to zoom conferences and and Slack meetings. You always have to have the time difference in mind if we are working globally together. But what we try, for example, we have reg regular assembled now also in person geo based. So for emia, for the Americas, for aj. And we are bringing up interesting customer situations, architectural bits and pieces together. We are discussing it always to share and to contribute to our community. >>What's interesting, you know, as, as events are coming back to here, before you get, you weigh in, I'll comment, as the cube's been going back out to events, we are hearing comments like what, what pandemic we were more productive in the pandemic. I mean, developers know how to work remotely and they've been on all the tools there, but then they get in person, they're happy to see people, but there's no one's, no one's really missed the beat. I mean it seems to be very productive, you know, workflow, not a lot of disruption. More if anything, productivity gains. >>Agreed, right? I think one of the key things to keep in mind is, you know, even if you look at AWS's and even Amazon's leadership principles, right? Customer obsession, that's key. VMware is carrying that forward as well. Where we are working with our customers, like how Daniel said met earlier, right? We might have meetings at different time zones, maybe it's in person, maybe it's virtual, but together we're working to listen to our customers. You know, we're taking and capturing that feedback to drive innovation and VMware cloud on AWS as well. But one of the key things to keep in mind is yes, there have been, there has been the pandemic, we might have been disconnected to a certain extent, but together through technology we've been able to still communicate work with our customers. Even with VMware in between, with AWS and whatnot. We had that flexibility to innovate and continue that innovation. So even if you look at it from the point of view, right? VMware cloud on AWS outposts, that was something that customers have been asking for. We've been been able to leverage the feedback and then continue to drive innovation even around VMware cloud on AWS outposts. So even with the on premises environment, if you're looking to handle maybe data sovereignty or compliance needs, maybe you have low latency requirements, that's where certain advancements come into play, right? So the key thing is always to maintain that communication track. >>And our last segment we did here on the, on this showcase, we listed the accomplishments and they were pretty significant. I mean go, you got the global rollouts of the relationship. It's just really been interesting and, and people can reference that. We won't get into it here, but I will ask you guys to comment on, as you guys continue to evolve the relationship, what's in it for the customer? What can they expect next? Cuz again, I think right now we're in at a, an inflection point more than ever. What can people expect from the relationship and what's coming up with reinvent? Can you share a little bit of kind of what's coming down the pike? >>So one of the most important things we have announced this year, and we will continue to evolve into that direction, is independent scale of storage. That absolutely was one of the most important items customer asked us for over the last years. Whenever, whenever you are requiring additional storage to host your virtual machines, you usually in VMware cloud on aws, you have to add additional notes. Now we have three different note types with different ratios of compute, storage and memory. But if you only require additional storage, you always have to get also additional compute and memory and you have to pay. And now with two solutions which offer choice for the customers, like FS six one, NetApp onap, and VMware cloud Flex Storage, you now have two cost effective opportunities to add storage to your virtual machines. And that offers opportunities for other instance types maybe that don't have local storage. We are also very, very keen looking forward to announcements, exciting announcements at the upcoming events. >>Samir, what's your, what's your reaction take on the, on what's coming down on your side? >>Yeah, I think one of the key things to keep in mind is, you know, we're looking to help our customers be agile and even scale with their needs, right? So with VMware cloud on aws, that's one of the key things that comes to mind, right? There are gonna be announcements, innovations and whatnot with outcoming events. But together we're able to leverage that to advance VMware cloud on AWS to Daniel's point storage, for example, even with host offerings. And then even with decoupling storage from compute and memory, right now you have the flexibility where you can do all of that. So to look at it from the standpoint where now with 21 regions where we have VMware cloud on AWS available as well, where customers can utilize that as needed when needed, right? So it comes down to, you know, transformation will be there. Yes, there's gonna be maybe where workloads have to be adapted where they're utilizing certain AWS services, but you have that flexibility and option to do so. And I think with the continuing events that's gonna give us the options to even advance our own services together. >>Well you guys are in the middle of it, you're in the trenches, you're making things happen, you've got a team of people working together. My final question is really more of a kind of a current situation, kind of future evolutionary thing that you haven't seen this before. I wanna get both of your reaction to it. And we've been bringing this up in, in the open conversations on the cube is in the old days it was going back this generation, you had ecosystems, you had VMware had an ecosystem they did best, had an ecosystem. You know, we have a product, you have a product, biz dev deals happen, people sign relationships and they do business together and they, they sell to each other's products or do some stuff. Now it's more about architecture cuz we're now in a distributed large scale environment where the role of ecosystems are intertwining. >>And this, you guys are in the middle of two big ecosystems. You mentioned channel partners, you both have a lot of partners on both sides. They come together. So you have this now almost a three dimensional or multidimensional ecosystem, you know, interplay. What's your thoughts on this? And, and, and because it's about the architecture, integration is a value, not so much. Innovation is only, you gotta do innovation, but when you do innovation, you gotta integrate it, you gotta connect it. So what is, how do you guys see this as a, as an architectural thing, start to see more technical business deals? >>So we are, we are removing dependencies from individual ecosystems and from individual vendors. So a customer no longer has to decide for one vendor and then it is a very expensive and high effort project to move away from that vendor, which ties customers even, even closer to specific vendors. We are removing these obstacles. So with VMware cloud on aws moving to the cloud, firstly it's, it's not a dead end. If you decide at one point in time because of latency requirements or maybe it's some compliance requirements, you need to move back into on-premise. You can do this if you decide you want to stay with some of your services on premise and just run a couple of dedicated services in the cloud, you can do this and you can mana manage it through a single pane of glass. That's quite important. So cloud is no longer a dead and it's no longer a binary decision, whether it's on premise or the cloud. It it is the cloud. And the second thing is you can choose the best of both works, right? If you are migrating virtual machines that have been running in your on-premise environment to VMware cloud on aws, by the way, in a very, very fast cost effective and safe way, then you can enrich later on enrich these virtual machines with services that are offered by aws. More than 200 different services ranging from object based storage, load balancing and so on. So it's an endless, endless possibility. >>We, we call that super cloud in, in a, in a way that we be generically defining it where everyone's innovating, but yet there's some common services. But the differentiation comes from innovation where the lock in is the value, not some spec, right? Samir, this is gonna where cloud is right now, you guys are, are not commodity. Amazon's completely differentiating, but there's some commodity things. Having got storage, you got compute, but then you got now advances in all areas. But partners innovate with you on their terms. Absolutely. And everybody wins. >>Yeah. And a hundred percent agree with you. I think one of the key things, you know, as Daniel mentioned before, is where it it, it's a cross education where there might be someone who's more proficient on the cloud side with aws, maybe more proficient with the viewers technology, but then for partners, right? They bridge that gap as well where they come in and they might have a specific niche or expertise where their background, where they can help our customers go through that transformation. So then that comes down to, hey, maybe I don't know how to connect to the cloud. Maybe I don't know what the networking constructs are. Maybe I can leverage that partner. That's one aspect to go about it. Now maybe you migrated that workload to VMware cloud on aws. Maybe you wanna leverage any of the native AWS services or even just off the top 200 plus AWS services, right? But it comes down to that skill, right? So again, solutions architecture at the back of, back of the day, end of the day, what it comes down to is being able to utilize the best of both worlds. That's what we're giving our customers at the end of the >>Day. I mean, I just think it's, it's a, it's a refactoring and innovation opportunity at all levels. I think now more than ever, you can take advantage of each other's ecosystems and partners and technologies and change how things get done with keeping the consistency. I mean, Daniel, you nailed that, right? I mean, you don't have to do anything. You still run the fear, the way you working on it and now do new things. This is kind of a cultural shift. >>Yeah, absolutely. And if, if you look, not every, not every customer, not every organization has the resources to refactor and re-platform everything. And we gave, we give them a very simple and easy way to move workloads to the cloud. Simply run them and at the same time they can free up resources to develop new innovations and, and grow their business. >>Awesome. Samir, thank you for coming on. Danielle, thank you for coming to Germany, Octoberfest, I know it's evening over there, your weekend's here. And thank you for spending the time. Samir final give you the final word, AWS reinvents coming up. Preparing. We're gonna have an exclusive with Adam, but Fry, we do a curtain raise, a dual preview. What's coming down on your side with the relationship and what can we expect to hear about what you got going on at reinvent this year? The big show? >>Yeah, so I think, you know, Daniel hit upon some of the key points, but what I will say is we do have, for example, specific sessions, both that VMware's driving and then also that AWS is driving. We do have even where we have what I call a chalk talks. So I would say, and then even with workshops, right? So even with the customers, the attendees who are there, whatnot, if they're looking for to sit and listen to a session, yes that's there. But if they wanna be hands on, that is also there too. So personally for me as an IT background, you know, been in CIS admin world and whatnot, being hands on, that's one of the key things that I personally am looking forward. But I think that's one of the key ways just to learn and get familiar with the technology. Yeah, >>Reinvents an amazing show for the in person. You guys nail it every year. We'll have three sets this year at the cube. It's becoming popular. We more and more content. You guys got live streams going on, a lot of content, a lot of media, so thanks, thanks for sharing that. Samir Daniel, thank you for coming on on this part of the showcase episode of really the customer successes with VMware Cloud Ons, really accelerating business transformation withs and VMware. I'm John Fur with the cube, thanks for watching. Hello everyone. Welcome to this cube showcase, accelerating business transformation with VMware cloud on it's a solution innovation conversation with two great guests, Fred and VP of commercial services at aws and NA Ryan Bard, who's the VP and general manager of cloud solutions at VMware. Gentlemen, thanks for joining me on this showcase. >>Great to be here. >>Hey, thanks for having us on. It's a great topic. You know, we, we've been covering this VMware cloud on abus since, since the launch going back and it's been amazing to watch the evolution from people saying, Oh, it's the worst thing I've ever seen. It's what's this mean? And depress work were, we're kind of not really on board with kind of the vision, but as it played out as you guys had announced together, it did work out great for VMware. It did work out great for a D and it continues two years later and I want just get an update from you guys on where you guys see this has been going. I'll see multiple years. Where is the evolution of the solution as we are right now coming off VMware explorer just recently and going in to reinvent, which is only a couple weeks away, feels like tomorrow. But you know, as we prepare a lot going on, where are we with the evolution of the solution? >>I mean, first thing I wanna say is, you know, PBO 2016 was a someon moment and the history of it, right? When Pat Gelsinger and Andy Jessey came together to announce this and I think John, you were there at the time I was there, it was a great, great moment. We launched the solution in 2017, the year after that at VM Word back when we called it Word, I think we have gone from strength to strength. One of the things that has really mattered to us is we have learned froms also in the processes, this notion of working backwards. So we really, really focused on customer feedback as we build a service offering now five years old, pretty remarkable journey. You know, in the first years we tried to get across all the regions, you know, that was a big focus because there was so much demand for it. >>In the second year we started going really on enterprise grade features. We invented this pretty awesome feature called Stretch clusters, where you could stretch a vSphere cluster using VSA and NSX across two AZs in the same region. Pretty phenomenal four nine s availability that applications start started to get with that particular feature. And we kept moving forward all kinds of integration with AWS direct connect transit gateways with our own advanced networking capabilities. You know, along the way, disaster recovery, we punched out two, two new services just focused on that. And then more recently we launched our outposts partnership. We were up on stage at Reinvent, again with Pat Andy announcing AWS outposts and the VMware flavor of that VMware cloud and AWS outposts. I think it's been significant growth in our federal sector as well with our federal and high certification more recently. So all in all, we are super excited. We're five years old. The customer momentum is really, really strong and we are scaling the service massively across all geos and industries. >>That's great, great update. And I think one of the things that you mentioned was how the advantages you guys got from that relationship. And, and this has kind of been the theme for AWS since I can remember from day one. Fred, you guys do the heavy lifting as as, as you always say for the customers here, VMware comes on board, takes advantage of the AWS and kind of just doesn't miss a beat, continues to move their workloads that everyone's using, you know, vSphere and these are, these are big workloads on aws. What's the AWS perspective on this? How do you see it? >>Yeah, it's pretty fascinating to watch how fast customers can actually transform and move when you take the, the skill set that they're familiar with and the advanced capabilities that they've been using on Preem and then overlay it on top of the AWS infrastructure that's, that's evolving quickly and, and building out new hardware and new instances we'll talk about. But that combined experience between both of us on a jointly engineered solution to bring the best security and the best features that really matter for those workloads drive a lot of efficiency and speed for the, for the customer. So it's been well received and the partnership is stronger than ever from an engineering standpoint, from a business standpoint. And obviously it's been very interesting to look at just how we stay day one in terms of looking at new features and work and, and responding to what customers want. So pretty, pretty excited about just seeing the transformation and the speed that which customers can move to bmc. Yeah, >>That's what great value publish. We've been talking about that in context too. Anyone building on top of the cloud, they can have their own supercloud as we call it. If you take advantage of all the CapEx and and investment Amazon's made and AWS has made and, and and continues to make in performance IAS and pass all great stuff. I have to ask you guys both as you guys see this going to the next level, what are some of the differentiations you see around the service compared to other options on the market? What makes it different? What's the combination? You mentioned jointly engineered, what are some of the key differentiators of the service compared to others? >>Yeah, I think one of the key things Fred talked about is this jointly engineered notion right from day one. We were the earlier doctors of AWS Nitro platform, right? The reinvention of E two back five years ago. And so we have been, you know, having a very, very strong engineering partnership at that level. I think from a VMware customer standpoint, you get the full software defined data center or compute storage networking on EC two, bare metal across all regions. You can scale that elastically up and down. It's pretty phenomenal just having that consistency globally, right on aws EC two global regions. Now the other thing that's a real differentiator for us that customers tell us about is this whole notion of a managed service, right? And this was somewhat new to VMware, but we took away the pain of this undifferentiated heavy lifting where customers had to provision rack, stack hardware, configure the software on top, and then upgrade the software and the security batches on top. >>So we took, took away all of that pain as customers transitioned to VMware cloud and aws. In fact, my favorite story from last year when we were all going through the lock for j debacle industry was just going through that, right? Favorite proof point from customers was before they put even race this issue to us, we sent them a notification saying we already patched all of your systems, no action from you. The customers were super thrilled. I mean these are large banks, many other customers around the world, super thrilled they had to take no action, but a pretty incredible industry challenge that we were all facing. >>Nora, that's a great, so that's a great point. You know, the whole managed service piece brings up the security, you kind of teasing at it, but you know, there's always vulnerabilities that emerge when you are doing complex logic. And as you grow your solutions, there's more bits. You know, Fred, we were commenting before we came on camera, there's more bits than ever before and, and at at the physics layer too, as well as the software. So you never know when there's gonna be a zero day vulnerability out there. Just, it happens. We saw one with fornet this week, this came outta the woodwork. But moving fast on those patches, it's huge. This brings up the whole support angle. I wanted to ask you about how you guys are doing that as well, because to me we see the value when we, when we talk to customers on the cube about this, you know, it was a real, real easy understanding of how, what the cloud means to them with VMware now with the aws. But the question that comes up that we wanna get more clarity on is how do you guys handle support together? >>Well, what's interesting about this is that it's, it's done mutually. We have dedicated support teams on both sides that work together pretty seamlessly to make sure that whether there's a issue at any layer, including all the way up into the app layer, as you think about some of the other workloads like sap, we'll go end to end and make sure that we support the customer regardless of where the particular issue might be for them. And on top of that, we look at where, where we're improving reliability in, in as a first order of, of principle between both companies. So from an availability and reliability standpoint, it's, it's top of mind and no matter where the particular item might land, we're gonna go help the customer resolve. That works really well >>On the VMware side. What's been the feedback there? What's the, what are some of the updates? >>Yeah, I think, look, I mean, VMware owns and operates the service, but we have a phenomenal backend relationship with aws. Customers call VMware for the service for any issues and, and then we have a awesome relationship with AWS on the backend for support issues or any hardware issues. The BASKE management that we jointly do, right? All of the hard problems that customers don't have to worry about. I think on the front end, we also have a really good group of solution architects across the companies that help to really explain the solution. Do complex things like cloud migration, which is much, much easier with VMware cloud aws, you know, we are presenting that easy button to the public cloud in many ways. And so we have a whole technical audience across the two companies that are working with customers every single day. >>You know, you had mentioned, I've got a list here, some of the innovations the, you mentioned the stretch clustering, you know, getting the GOs working, Advanced network, disaster recovery, you know, fed, Fed ramp, public sector certifications, outposts, all good. You guys are checking the boxes every year. You got a good, good accomplishments list there on the VMware AWS side here in this relationship. The question that I'm interested in is what's next? What recent innovations are you doing? Are you making investments in what's on the lists this year? What items will be next year? How do you see the, the new things, the list of accomplishments, people wanna know what's next. They don't wanna see stagnant growth here, they wanna see more action, you know, as as cloud kind of continues to scale and modern applications cloud native, you're seeing more and more containers, more and more, you know, more CF C I C D pipe pipelining with with modern apps, put more pressure on the system. What's new, what's the new innovations? >>Absolutely. And I think as a five yearold service offering innovation is top of mind for us every single day. So just to call out a few recent innovations that we announced in San Francisco at VMware Explorer. First of all, our new platform i four I dot metal, it's isolate based, it's pretty awesome. It's the latest and greatest, all the speeds and feeds that we would expect from VMware and aws. At this point in our relationship. We announced two different storage options. This notion of working from customer feedback, allowing customers even more price reductions, really take off that storage and park it externally, right? And you know, separate that from compute. So two different storage offerings there. One is with AWS Fsx, with NetApp on tap, which brings in our NetApp partnership as well into the equation and really get that NetApp based, really excited about this offering as well. >>And the second storage offering for VMware cloud Flex Storage, VMware's own managed storage offering. Beyond that, we have done a lot of other innovations as well. I really wanted to talk about VMware cloud Flex Compute, where previously customers could only scale by hosts and a host is 36 to 48 cores, give or take. But with VMware cloud Flex Compute, we are now allowing this notion of a resource defined compute model where customers can just get exactly the V C P memory and storage that maps to the applications, however small they might be. So this notion of granularity is really a big innovation that that we are launching in the market this year. And then last but not least, talk about ransomware. Of course it's a hot topic in industry. We are seeing many, many customers ask for this. We are happy to announce a new ransomware recovery with our VMware cloud DR solution. >>A lot of innovation there and the way we are able to do machine learning and make sure the workloads that are covered from snapshots and backups are actually safe to use. So there's a lot of differentiation on that front as well. A lot of networking innovations with Project Knot star for ability to have layer flow through layer seven, you know, new SaaS services in that area as well. Keep in mind that the service already supports managed Kubernetes for containers. It's built in to the same clusters that have virtual machines. And so this notion of a single service with a great TCO for VMs and containers and sort of at the heart of our office, >>The networking side certainly is a hot area to keep innovating on. Every year it's the same, same conversation, get better, faster networking, more, more options there. The flex computes. Interesting. If you don't mind me getting a quick clarification, could you explain the Drew screen resource defined versus hardware defined? Because this is kind of what we had saw at Explore coming out, that notion of resource defined versus hardware defined. What's the, what does that mean? >>Yeah, I mean I think we have been super successful in this hardware defined notion. We we're scaling by the hardware unit that we present as software defined data centers, right? And so that's been super successful. But we, you know, customers wanted more, especially customers in different parts of the world wanted to start even smaller and grow even more incrementally, right? Lower their costs even more. And so this is the part where resource defined starts to be very, very interesting as a way to think about, you know, here's my bag of resources exactly based on what the customers request for fiber machines, five containers, its size exactly for that. And then as utilization grows, we elastically behind the scenes, we're able to grow it through policies. So that's a whole different dimension. It's a whole different service offering that adds value and customers are comfortable. They can go from one to the other, they can go back to that post based model if they so choose to. And there's a jump off point across these two different economic models. >>It's kind of cloud of flexibility right there. I like the name Fred. Let's get into some of the examples of customers, if you don't mind. Let's get into some of the ex, we have some time. I wanna unpack a little bit of what's going on with the customer deployments. One of the things we've heard again on the cube is from customers is they like the clarity of the relationship, they love the cloud positioning of it. And then what happens is they lift and shift the workloads and it's like, feels great. It's just like we're running VMware on AWS and then they would start consuming higher level services, kind of that adoption next level happens and because it it's in the cloud, so, So can you guys take us through some recent examples of customer wins or deployments where they're using VMware cloud on AWS on getting started, and then how do they progress once they're there? How does it evolve? Can you just walk us through a couple of use cases? >>Sure. There's a, well there's a couple. One, it's pretty interesting that, you know, like you said, as there's more and more bits you need better and better hardware and networking. And we're super excited about the I four and the capabilities there in terms of doubling and or tripling what we're doing around a lower variability on latency and just improving all the speeds. But what customers are doing with it, like the college in New Jersey, they're accelerating their deployment on a, on onboarding over like 7,400 students over a six to eight month period. And they've really realized a ton of savings. But what's interesting is where and how they can actually grow onto additional native services too. So connectivity to any other services is available as they start to move and migrate into this. The, the options there obviously are tied to all the innovation that we have across any services, whether it's containerized and with what they're doing with Tanu or with any other container and or services within aws. >>So there's, there's some pretty interesting scenarios where that data and or the processing, which is moved quickly with full compliance, whether it's in like healthcare or regulatory business is, is allowed to then consume and use things, for example, with tech extract or any other really cool service that has, you know, monthly and quarterly innovations. So there's things that you just can't, could not do before that are coming out and saving customers money and building innovative applications on top of their, their current app base in, in a rapid fashion. So pretty excited about it. There's a lot of examples. I think I probably don't have time to go into too, too many here. Yeah. But that's actually the best part is listening to customers and seeing how many net new services and new applications are they actually building on top of this platform. >>Nora, what's your perspective from the VMware sy? So, you know, you guys have now a lot of headroom to offer customers with Amazon's, you know, higher level services and or whatever's homegrown where's being rolled out? Cuz you now have a lot of hybrid too, so, so what's your, what's your take on what, what's happening in with customers? >>I mean, it's been phenomenal, the, the customer adoption of this and you know, banks and many other highly sensitive verticals are running production grade applications, tier one applications on the service over the last five years. And so, you know, I have a couple of really good examples. S and p Global is one of my favorite examples. Large bank, they merge with IHS market, big sort of conglomeration. Now both customers were using VMware cloud and AWS in different ways. And with the, with the use case, one of their use cases was how do I just respond to these global opportunities without having to invest in physical data centers? And then how do I migrate and consolidate all my data centers across the global, which there were many. And so one specific example for this company was how they migrated thousand 1000 workloads to VMware cloud AWS in just six weeks. Pretty phenomenal. If you think about everything that goes into a cloud migration process, people process technology and the beauty of the technology going from VMware point A to VMware point B, the the lowest cost, lowest risk approach to adopting VMware, VMware cloud, and aws. So that's, you know, one of my favorite examples. There are many other examples across other verticals that we continue to see. The good thing is we are seeing rapid expansion across the globe that constantly entering new markets with the limited number of regions and progressing our roadmap there. >>Yeah, it's great to see, I mean the data center migrations go from months, many, many months to weeks. It's interesting to see some of those success stories. So congratulations. One >>Of other, one of the other interesting fascinating benefits is the sustainability improvement in terms of being green. So the efficiency gains that we have both in current generation and new generation processors and everything that we're doing to make sure that when a customer can be elastic, they're also saving power, which is really critical in a lot of regions worldwide at this point in time. They're, they're seeing those benefits. If you're running really inefficiently in your own data center, that is just a, not a great use of power. So the actual calculators and the benefits to these workloads is, are pretty phenomenal just in being more green, which I like. We just all need to do our part there. And, and this is a big part of it here. >>It's a huge, it's a huge point about the sustainability. Fred, I'm glad you called that out. The other one I would say is supply chain issues. Another one you see that constrains, I can't buy hardware. And the third one is really obvious, but no one really talks about it. It's security, right? I mean, I remember interviewing Stephen Schmidt with that AWS and many years ago, this is like 2013, and you know, at that time people were saying the cloud's not secure. And he's like, listen, it's more secure in the cloud on premise. And if you look at the security breaches, it's all about the on-premise data center vulnerabilities, not so much hardware. So there's a lot you gotta to stay current on, on the isolation there is is hard. So I think, I think the security and supply chain, Fred is, is another one. Do you agree? >>I I absolutely agree. It's, it's hard to manage supply chain nowadays. We put a lot of effort into that and I think we have a great ability to forecast and make sure that we can lean in and, and have the resources that are available and run them, run them more efficiently. Yeah, and then like you said on the security point, security is job one. It is, it is the only P one. And if you think of how we build our infrastructure from Nitro all the way up and how we respond and work with our partners and our customers, there's nothing more important. >>And naron your point earlier about the managed service patching and being on top of things, it's really gonna get better. All right, final question. I really wanna thank you for your time on this showcase. It's really been a great conversation. Fred, you had made a comment earlier. I wanna kind of end with kind of a curve ball and put you eyes on the spot. We're talking about a modern, a new modern shift. It's another, we're seeing another inflection point, we've been documenting it, it's almost like cloud hitting another inflection point with application and open source growth significantly at the app layer. Continue to put a lot of pressure and, and innovation in the infrastructure side. So the question is for you guys each to answer is what's the same and what's different in today's market? So it's kind of like we want more of the same here, but also things have changed radically and better here. What are the, what's, what's changed for the better and where, what's still the same kind of thing hanging around that people are focused on? Can you share your perspective? >>I'll, I'll, I'll, I'll tackle it. You know, businesses are complex and they're often unique that that's the same. What's changed is how fast you can innovate. The ability to combine manage services and new innovative services and build new applications is so much faster today. Leveraging world class hardware that you don't have to worry about that's elastic. You, you could not do that even five, 10 years ago to the degree you can today, especially with innovation. So innovation is accelerating at a, at a rate that most people can't even comprehend and understand the, the set of services that are available to them. It's really fascinating to see what a one pizza team of of engineers can go actually develop in a week. It is phenomenal. So super excited about this space and it's only gonna continue to accelerate that. That's my take. All right. >>You got a lot of platform to compete on with, got a lot to build on then you're Ryan, your side, What's your, what's your answer to that question? >>I think we are seeing a lot of innovation with new applications that customers are constant. I think what we see is this whole notion of how do you go from desktop to production to the secure supply chain and how can we truly, you know, build on the agility that developers desire and build all the security and the pipelines to energize that motor production quickly and efficiently. I think we, we are seeing, you know, we are at the very start of that sort of of journey. Of course we have invested in Kubernetes the means to an end, but there's so much more beyond that's happening in industry. And I think we're at the very, very beginning of this transformations, enterprise transformation that many of our customers are going through and we are inherently part of it. >>Yeah. Well gentlemen, I really appreciate that we're seeing the same thing. It's more the same here on, you know, solving these complexities with distractions. Whether it's, you know, higher level services with large scale infrastructure at, at your fingertips. Infrastructures, code, infrastructure to be provisioned, serverless, all the good stuff happen in Fred with AWS on your side. And we're seeing customers resonate with this idea of being an operator, again, being a cloud operator and developer. So the developer ops is kind of, DevOps is kind of changing too. So all for the better. Thank you for spending the time and we're seeing again, that traction with the VMware customer base and of us getting, getting along great together. So thanks for sharing your perspectives, >>I appreciate it. Thank you so >>Much. Okay, thank you John. Okay, this is the Cube and AWS VMware showcase, accelerating business transformation. VMware cloud on aws, jointly engineered solution, bringing innovation to the VMware customer base, going to the cloud and beyond. I'm John Fur, your host. Thanks for watching. Hello everyone. Welcome to the special cube presentation of accelerating business transformation on vmc on aws. I'm John Furrier, host of the Cube. We have dawan director of global sales and go to market for VMware cloud on adb. This is a great showcase and should be a lot of fun. Ashish, thanks for coming on. >>Hi John. Thank you so much. >>So VMware cloud on AWS has been well documented as this big success for VMware and aws. As customers move their workloads into the cloud, IT operations of VMware customers has signaling a lot of change. This is changing the landscape globally is on cloud migration and beyond. What's your take on this? Can you open this up with the most important story around VMC on aws? >>Yes, John. The most important thing for our customers today is the how they can safely and swiftly move their ID infrastructure and applications through cloud. Now, VMware cloud AWS is a service that allows all vSphere based workloads to move to cloud safely, swiftly and reliably. Banks can move their core, core banking platforms, insurance companies move their core insurance platforms, telcos move their goss, bss, PLA platforms, government organizations are moving their citizen engagement platforms using VMC on aws because this is one platform that allows you to move it, move their VMware based platforms very fast. Migrations can happen in a matter of days instead of months. Extremely securely. It's a VMware manage service. It's very secure and highly reliably. It gets the, the reliability of the underlyings infrastructure along with it. So win-win from our customers perspective. >>You know, we reported on this big news in 2016 with Andy Chas, the, and Pat Geling at the time, a lot of people said it was a bad deal. It turned out to be a great deal because not only could VMware customers actually have a cloud migrate to the cloud, do it safely, which was their number one concern. They didn't want to have disruption to their operations, but also position themselves for what's beyond just shifting to the cloud. So I have to ask you, since you got the finger on the pulse here, what are we seeing in the market when it comes to migrating and modern modernizing in the cloud? Because that's the next step. They go to the cloud, you guys have done that, doing it, then they go, I gotta modernize, which means kind of upgrading or refactoring. What's your take on that? >>Yeah, absolutely. Look, the first step is to help our customers assess their infrastructure and licensing and entire ID operations. Once we've done the assessment, we then create their migration plans. A lot of our customers are at that inflection point. They're, they're looking at their real estate, ex data center, real estate. They're looking at their contracts with colocation vendors. They really want to exit their data centers, right? And VMware cloud and AWS is a perfect solution for customers who wanna exit their data centers, migrate these applications onto the AWS platform using VMC on aws, get rid of additional real estate overheads, power overheads, be socially and environmentally conscious by doing that as well, right? So that's the migration story, but to your point, it doesn't end there, right? Modernization is a critical aspect of the entire customer journey as as well customers, once they've migrated their ID applications and infrastructure on cloud get access to all the modernization services that AWS has. They can correct easily to our data lake services, to our AIML services, to custom databases, right? They can decide which applications they want to keep and which applications they want to refactor. They want to take decisions on containerization, make decisions on service computing once they've come to the cloud. But the most important thing is to take that first step. You know, exit data centers, come to AWS using vmc or aws, and then a whole host of modernization options available to them. >>Yeah, I gotta say, we had this right on this, on this story, because you just pointed out a big thing, which was first order of business is to make sure to leverage the on-prem investments that those customers made and then migrate to the cloud where they can maintain their applications, their data, their infrastructure operations that they're used to, and then be in position to start getting modern. So I have to ask you, how are you guys specifically, or how is VMware cloud on s addressing these needs of the customers? Because what happens next is something that needs to happen faster. And sometimes the skills might not be there because if they're running old school, IT ops now they gotta come in and jump in. They're gonna use a data cloud, they're gonna want to use all kinds of machine learning, and there's a lot of great goodness going on above the stack there. So as you move with the higher level services, you know, it's a no brainer, obviously, but they're not, it's not yesterday's higher level services in the cloud. So how are, how is this being addressed? >>Absolutely. I think you hit up on a very important point, and that is skills, right? When our customers are operating, some of the most critical applications I just mentioned, core banking, core insurance, et cetera, they're most of the core applications that our customers have across industries, like even, even large scale ERP systems, they're actually sitting on VMware's vSphere platform right now. When the customer wants to migrate these to cloud, one of the key bottlenecks they face is skill sets. They have the trained manpower for these core applications, but for these high level services, they may not, right? So the first order of business is to help them ease this migration pain as much as possible by not wanting them to, to upscale immediately. And we VMware cloud and AWS exactly does that. I mean, you don't have to do anything. You don't have to create new skill set for doing this, right? Their existing skill sets suffice, but at the same time, it gives them that, that leeway to build that skills roadmap for their team. DNS is invested in that, right? Yes. We want to help them build those skills in the high level services, be it aml, be it, be it i t be it data lake and analytics. We want to invest in them, and we help our customers through that. So that ultimately the ultimate goal of making them drop data is, is, is a front and center. >>I wanna get into some of the use cases and success stories, but I want to just reiterate, hit back your point on the skill thing. Because if you look at what you guys have done at aws, you've essentially, and Andy Chassey used to talk about this all the time when I would interview him, and now last year Adam was saying the same thing. You guys do all the heavy lifting, but if you're a VMware customer user or operator, you are used to things. You don't have to be relearn to be a cloud architect. Now you're already in the game. So this is like almost like a instant path to cloud skills for the VMware. There's hundreds of thousands of, of VMware architects and operators that now instantly become cloud architects, literally overnight. Can you respond to that? Do you agree with that? And then give an example. >>Yes, absolutely. You know, if you have skills on the VMware platform, you know, know, migrating to AWS using via by cloud and AWS is absolutely possible. You don't have to really change the skills. The operations are exactly the same. The management systems are exactly the same. So you don't really have to change anything but the advantages that you get access to all the other AWS services. So you are instantly able to integrate with other AWS services and you become a cloud architect immediately, right? You are able to solve some of the critical problems that your underlying IT infrastructure has immediately using this. And I think that's a great value proposition for our customers to use this service. >>And just one more point, I want just get into something that's really kind of inside baseball or nuanced VMC or VMware cloud on AWS means something. Could you take a minute to explain what on AWS means? Just because you're like hosting and using Amazon as a, as a work workload? Being on AWS means something specific in your world, being VMC on AWS mean? >>Yes. This is a great question, by the way, You know, on AWS means that, you know, VMware's vse platform is, is a, is an iconic enterprise virtualization software, you know, a disproportionately high market share across industries. So when we wanted to create a cloud product along with them, obviously our aim was for them, for the, for this platform to have the goodness of the AWS underlying infrastructure, right? And, and therefore, when we created this VMware cloud solution, it it literally use the AWS platform under the eighth, right? And that's why it's called a VMs VMware cloud on AWS using, using the, the, the wide portfolio of our regions across the world and the strength of the underlying infrastructure, the reliability and, and, and sustainability that it offers. And therefore this product is called VMC on aws. >>It's a distinction I think is worth noting, and it does reflect engineering and some levels of integration that go well beyond just having a SaaS app and, and basically platform as a service or past services. So I just wanna make sure that now super cloud, we'll talk about that a little bit in another interview, but I gotta get one more question in before we get into the use cases and customer success stories is in, in most of the VM world, VMware world, in that IT world, it used to, when you heard migration, people would go, Oh my God, that's gonna take months. And when I hear about moving stuff around and doing cloud native, the first reaction people might have is complexity. So two questions for you before we move on to the next talk. Track complexity. How are you addressing the complexity issue and how long these migrations take? Is it easy? Is it it hard? I mean, you know, the knee jerk reaction is month, You're very used to that. If they're dealing with Oracle or other old school vendors, like, they're, like the old guard would be like, takes a year to move stuff around. So can you comment on complexity and speed? >>Yeah. So the first, first thing is complexity. And you know, what makes what makes anything complex is if you're, if you're required to acquire new skill sets or you've gotta, if you're required to manage something differently, and as far as VMware cloud and AWS on both these aspects, you don't have to do anything, right? You don't have to acquire new skill sets. Your existing idea operation skill sets on, on VMware's platforms are absolutely fine and you don't have to manage it any differently like, than what you're managing your, your ID infrastructure today. So in both these aspects, it's exactly the same and therefore it is absolutely not complex as far as, as far as, as far as we cloud and AWS is concerned. And the other thing is speed. This is where the huge differentiation is. You have seen that, you know, large banks and large telcos have now moved their workloads, you know, literally in days instead of months. >>Because because of VMware cloud and aws, a lot of time customers come to us with specific deadlines because they want to exit their data centers on a particular date. And what happens, VMware cloud and AWS is called upon to do that migration, right? So speed is absolutely critical. The reason is also exactly the same because you are using the exactly the same platform, the same management systems, people are available to you, you're able to migrate quickly, right? I would just reference recently we got an award from President Zelensky of Ukraine for, you know, migrating their entire ID digital infrastructure and, and that that happened because they were using VMware cloud database and happened very swiftly. >>That's been a great example. I mean, that's one political, but the economic advantage of getting outta the data center could be national security. You mentioned Ukraine, I mean Oscar see bombing and death over there. So clearly that's a critical crown jewel for their running their operations, which is, you know, you know, world mission critical. So great stuff. I love the speed thing. I think that's a huge one. Let's get into some of the use cases. One of them is, the first one I wanted to talk about was we just hit on data, data center migration. It could be financial reasons on a downturn or our, or market growth. People can make money by shifting to the cloud, either saving money or making money. You win on both sides. It's a, it's a, it's almost a recession proof, if you will. Cloud is so use case for number one data center migration. Take us through what that looks like. Give an example of a success. Take us through a day, day in the life of a data center migration in, in a couple minutes. >>Yeah. You know, I can give you an example of a, of a, of a large bank who decided to migrate, you know, their, all their data centers outside their existing infrastructure. And they had, they had a set timeline, right? They had a set timeline to migrate the, the, they were coming up on a renewal and they wanted to make sure that this set timeline is met. We did a, a complete assessment of their infrastructure. We did a complete assessment of their IT applications, more than 80% of their IT applications, underlying v vSphere platform. And we, we thought that the right solution for them in the timeline that they wanted, right, is VMware cloud ands. And obviously it was a large bank, it wanted to do it safely and securely. It wanted to have it completely managed, and therefore VMware cloud and aws, you know, ticked all the boxes as far as that is concerned. >>I'll be happy to report that the large bank has moved to most of their applications on AWS exiting three of their data centers, and they'll be exiting 12 more very soon. So that's a great example of, of, of the large bank exiting data centers. There's another Corolla to that. Not only did they manage to manage to exit their data centers and of course use and be more agile, but they also met their sustainability goals. Their board of directors had given them goals to be carbon neutral by 2025. They found out that 35% of all their carbon foot footprint was in their data centers. And if they moved their, their ID infrastructure to cloud, they would severely reduce the, the carbon footprint, which is 35% down to 17 to 18%. Right? And that meant their, their, their, their sustainability targets and their commitment to the go to being carbon neutral as well. >>And that they, and they shift that to you guys. Would you guys take that burden? A heavy lifting there and you guys have a sustainability story, which is a whole nother showcase in and of itself. We >>Can Exactly. And, and cause of the scale of our, of our operations, we are able to, we are able to work on that really well as >>Well. All right. So love the data migration. I think that's got real proof points. You got, I can save money, I can, I can then move and position my applications into the cloud for that reason and other reasons as a lot of other reasons to do that. But now it gets into what you mentioned earlier was, okay, data migration, clearly a use case and you laid out some successes. I'm sure there's a zillion others. But then the next step comes, now you got cloud architects becoming minted every, and you got managed services and higher level services. What happens next? Can you give us an example of the use case of the modernization around the NextGen workloads, NextGen applications? We're starting to see, you know, things like data clouds, not data warehouses. We're not gonna data clouds, it's gonna be all kinds of clouds. These NextGen apps are pure digital transformation in action. Take us through a use case of how you guys make that happen with a success story. >>Yes, absolutely. And this is, this is an amazing success story and the customer here is s and p global ratings. As you know, s and p global ratings is, is the world leader as far as global ratings, global credit ratings is concerned. And for them, you know, the last couple of years have been tough as far as hardware procurement is concerned, right? The pandemic has really upended the, the supply chain. And it was taking a lot of time to procure hardware, you know, configure it in time, make sure that that's reliable and then, you know, distribute it in the wide variety of, of, of offices and locations that they have. And they came to us. We, we did, again, a, a, a alar, a fairly large comprehensive assessment of their ID infrastructure and their licensing contracts. And we also found out that VMware cloud and AWS is the right solution for them. >>So we worked there, migrated all their applications, and as soon as we migrated all their applications, they got, they got access to, you know, our high level services be our analytics services, our machine learning services, our, our, our, our artificial intelligence services that have been critical for them, for their growth. And, and that really is helping them, you know, get towards their next level of modern applications. Right Now, obviously going forward, they will have, they will have the choice to, you know, really think about which applications they want to, you know, refactor or which applications they want to go ahead with. That is really a choice in front of them. And, but you know, the, we VMware cloud and AWS really gave them the opportunity to first migrate and then, you know, move towards modernization with speed. >>You know, the speed of a startup is always the kind of the Silicon Valley story where you're, you know, people can make massive changes in 18 months, whether that's a pivot or a new product. You see that in startup world. Now, in the enterprise, you can see the same thing. I noticed behind you on your whiteboard, you got a slogan that says, are you thinking big? I know Amazon likes to think big, but also you work back from the customers and, and I think this modern application thing's a big deal because I think the mindset has always been constrained because back before they moved to the cloud, most IT, and, and, and on-premise data center shops, it's slow. You gotta get the hardware, you gotta configure it, you gotta, you gotta stand it up, make sure all the software is validated on it, and loading a database and loading oss, I mean, mean, yeah, it got easier and with scripting and whatnot, but when you move to the cloud, you have more scale, which means more speed, which means it opens up their capability to think differently and build product. What are you seeing there? Can you share your opinion on that epiphany of, wow, things are going fast, I got more time to actually think about maybe doing a cloud native app or transforming this or that. What's your, what's your reaction to that? Can you share your opinion? >>Well, ultimately we, we want our customers to utilize, you know, most of our modern services, you know, applications should be microservices based. When desired, they should use serverless applic. So list technology, they should not have monolithic, you know, relational database contracts. They should use custom databases, they should use containers when needed, right? So ultimately, we want our customers to use these modern technologies to make sure that their IT infrastructure, their licensing, their, their entire IT spend is completely native to cloud technologies. They work with the speed of a startup, but it's important for them to, to, to get to the first step, right? So that's why we create this journey for our customers, where you help them migrate, give them time to build the skills, they'll help them mo modernize, take our partners along with their, along with us to, to make sure that they can address the need for our customers. That's, that's what our customers need today, and that's what we are working backwards from. >>Yeah, and I think that opens up some big ideas. I'll just say that the, you know, we're joking, I was joking the other night with someone here in, in Palo Alto around serverless, and I said, you know, soon you're gonna hear words like architectural list. And that's a criticism on one hand, but you might say, Hey, you know, if you don't really need an architecture, you know, storage lists, I mean, at the end of the day, infrastructure is code means developers can do all the it in the coding cycles and then make the operations cloud based. And I think this is kind of where I see the dots connecting. Final thought here, take us through what you're thinking around how this new world is evolving. I mean, architecturals kind of a joke, but the point is, you know, you have to some sort of architecture, but you don't have to overthink it. >>Totally. No, that's a great thought, by the way. I know it's a joke, but it's a great thought because at the end of the day, you know, what do the customers really want? They want outcomes, right? Why did service technology come? It was because there was an outcome that they needed. They didn't want to get stuck with, you know, the, the, the real estate of, of a, of a server. They wanted to use compute when they needed to, right? Similarly, what you're talking about is, you know, outcome based, you know, desire of our customers and, and, and that's exactly where the word is going to, Right? Cloud really enforces that, right? We are actually, you know, working backwards from a customer's outcome and using, using our area the breadth and depth of our services to, to deliver those outcomes, right? And, and most of our services are in that path, right? When we use VMware cloud and aws, the outcome is a, to migrate then to modernize, but doesn't stop there, use our native services, you know, get the business outcomes using this. So I think that's, that's exactly what we are going through >>Actually, should actually, you're the director of global sales and go to market for VMware cloud on Aus. I wanna thank you for coming on, but I'll give you the final minute. Give a plug, explain what is the VMware cloud on Aus, Why is it great? Why should people engage with you and, and the team, and what ultimately is this path look like for them going forward? >>Yeah. At the end of the day, we want our customers to have the best paths to the cloud, right? The, the best path to the cloud is making sure that they migrate safely, reliably, and securely as well as with speed, right? And then, you know, use that cloud platform to, to utilize AWS's native services to make sure that they modernize their IT infrastructure and applications, right? We want, ultimately that our customers, customers, customer get the best out of, you know, utilizing the, that whole application experience is enhanced tremendously by using our services. And I think that's, that's exactly what we are working towards VMware cloud AWS is, is helping our customers in that journey towards migrating, modernizing, whether they wanna exit a data center or whether they wanna modernize their applications. It's a essential first step that we wanna help our customers with >>One director of global sales and go to market with VMware cloud on neighbors. He's with aws sharing his thoughts on accelerating business transformation on aws. This is a showcase. We're talking about the future path. We're talking about use cases with success stories from customers as she's thank you for spending time today on this showcase. >>Thank you, John. I appreciate it. >>Okay. This is the cube, special coverage, special presentation of the AWS Showcase. I'm John Furrier, thanks for watching.

Published Date : Nov 1 2022

SUMMARY :

Great to have you and Daniel Re Myer, principal architect global AWS synergy Greatly appreciate it. You're starting to see, you know, this idea of higher level services, More recently, one of the things to keep in mind is we're looking to deliver value Then the other thing comes down to is where we Daniel, I wanna get to you in a second. lot of CPU power, such as you mentioned it, AI workloads. composing, you know, with open source, a lot of great things are changing. So we want to have all of that as a service, on what you see there from an Amazon perspective and how it relates to this? And you know, look at it from the point of view where we said this to leverage a cloud, but the investment that you made and certain things as far How would you talk to that persona about the future And that also means in, in to to some extent, concerns with your I can still run my job now I got goodness on the other side. on the skills, you certainly have that capability to do so. Now that we're peeking behind the curtain here, I'd love to have you guys explain, You always have to have the time difference in mind if we are working globally together. I mean it seems to be very productive, you know, I think one of the key things to keep in mind is, you know, even if you look at AWS's guys to comment on, as you guys continue to evolve the relationship, what's in it for So one of the most important things we have announced this year, Yeah, I think one of the key things to keep in mind is, you know, we're looking to help our customers You know, we have a product, you have a product, biz dev deals happen, people sign relationships and they do business And this, you guys are in the middle of two big ecosystems. You can do this if you decide you want to stay with some of your services But partners innovate with you on their terms. I think one of the key things, you know, as Daniel mentioned before, You still run the fear, the way you working on it and And if, if you look, not every, And thank you for spending the time. So personally for me as an IT background, you know, been in CIS admin world and whatnot, thank you for coming on on this part of the showcase episode of really the customer successes with VMware we're kind of not really on board with kind of the vision, but as it played out as you guys had announced together, across all the regions, you know, that was a big focus because there was so much demand for We invented this pretty awesome feature called Stretch clusters, where you could stretch a And I think one of the things that you mentioned was how the advantages you guys got from that and move when you take the, the skill set that they're familiar with and the advanced capabilities that I have to ask you guys both as you guys see this going to the next level, you know, having a very, very strong engineering partnership at that level. put even race this issue to us, we sent them a notification saying we And as you grow your solutions, there's more bits. the app layer, as you think about some of the other workloads like sap, we'll go end to What's been the feedback there? which is much, much easier with VMware cloud aws, you know, they wanna see more action, you know, as as cloud kind of continues to And you know, separate that from compute. And the second storage offering for VMware cloud Flex Storage, VMware's own managed storage you know, new SaaS services in that area as well. If you don't mind me getting a quick clarification, could you explain the Drew screen resource defined versus But we, you know, because it it's in the cloud, so, So can you guys take us through some recent examples of customer The, the options there obviously are tied to all the innovation that we So there's things that you just can't, could not do before I mean, it's been phenomenal, the, the customer adoption of this and you know, Yeah, it's great to see, I mean the data center migrations go from months, many, So the actual calculators and the benefits So there's a lot you gotta to stay current on, Yeah, and then like you said on the security point, security is job one. So the question is for you guys each to Leveraging world class hardware that you don't have to worry production to the secure supply chain and how can we truly, you know, Whether it's, you know, higher level services with large scale Thank you so I'm John Furrier, host of the Cube. Can you open this up with the most important story around VMC on aws? platform that allows you to move it, move their VMware based platforms very fast. They go to the cloud, you guys have done that, So that's the migration story, but to your point, it doesn't end there, So as you move with the higher level services, So the first order of business is to help them ease Because if you look at what you guys have done at aws, the advantages that you get access to all the other AWS services. Could you take a minute to explain what on AWS on AWS means that, you know, VMware's vse platform is, I mean, you know, the knee jerk reaction is month, And you know, what makes what the same because you are using the exactly the same platform, the same management systems, which is, you know, you know, world mission critical. decided to migrate, you know, their, So that's a great example of, of, of the large bank exiting data And that they, and they shift that to you guys. And, and cause of the scale of our, of our operations, we are able to, We're starting to see, you know, things like data clouds, And for them, you know, the last couple of years have been tough as far as hardware procurement is concerned, And, and that really is helping them, you know, get towards their next level You gotta get the hardware, you gotta configure it, you gotta, you gotta stand it up, most of our modern services, you know, applications should be microservices based. I mean, architecturals kind of a joke, but the point is, you know, the end of the day, you know, what do the customers really want? I wanna thank you for coming on, but I'll give you the final minute. customers, customer get the best out of, you know, utilizing the, One director of global sales and go to market with VMware cloud on neighbors. I'm John Furrier, thanks for watching.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JohnPERSON

0.99+

AmazonORGANIZATION

0.99+

SamirPERSON

0.99+

AWSORGANIZATION

0.99+

MarylandLOCATION

0.99+

Pat GelingPERSON

0.99+

John FoerPERSON

0.99+

Andy ChasseyPERSON

0.99+

AdamPERSON

0.99+

DanielPERSON

0.99+

Andy JesseyPERSON

0.99+

2017DATE

0.99+

Daniel Re MyerPERSON

0.99+

GermanyLOCATION

0.99+

FredPERSON

0.99+

Samir DanielPERSON

0.99+

twoQUANTITY

0.99+

Stephen SchmidtPERSON

0.99+

DaniellePERSON

0.99+

2016DATE

0.99+

VMwareORGANIZATION

0.99+

SamiaPERSON

0.99+

two companiesQUANTITY

0.99+

2025DATE

0.99+

Andy ChasPERSON

0.99+

John FurPERSON

0.99+

San FranciscoLOCATION

0.99+

John FurrierPERSON

0.99+

2013DATE

0.99+

36QUANTITY

0.99+

Pat GelsingerPERSON

0.99+

OracleORGANIZATION

0.99+

two questionsQUANTITY

0.99+

Palo AltoLOCATION

0.99+

NoraPERSON

0.99+

Breaking Analysis: Even the Cloud Is Not Immune to the Seesaw Economy


 

>>From the Cube Studios in Palo Alto in Boston, bringing you data driven insights from the cube and etr. This is breaking analysis with Dave Ante. >>Have you ever been driving on the highway and traffic suddenly slows way down and then after a little while it picks up again and you're cruising along and you're thinking, Okay, hey, that was weird. But it's clear sailing now. Off we go, only to find out in a bit that the traffic is building up ahead again, forcing you to pump the brakes as the traffic pattern ebbs and flows well. Welcome to the Seesaw economy. The fed induced fire that prompted an unprecedented rally in tech is being purposefully extinguished now by that same fed. And virtually every sector of the tech industry is having to reset its expectations, including the cloud segment. Hello and welcome to this week's Wikibon Cube Insights powered by etr. In this breaking analysis will review the implications of the earnings announcements from the big three cloud players, Amazon, Microsoft, and Google who announced this week. >>And we'll update you on our quarterly IAS forecast and share the latest from ETR with a focus on cloud computing. Now, before we get into the new data, we wanna review something we shared with you on October 14th, just a couple weeks back, this is sort of a, we told you it was coming slide. It's an XY graph that shows ET R'S proprietary net score methodology on the vertical axis. That's a measure of spending momentum, spending velocity, and an overlap or presence in the dataset that's on the X axis. That's really a measure of pervasiveness. In the survey, the table, you see that table insert there that shows Wiki Bond's Q2 estimates of IAS revenue for the big four hyperscalers with their year on year growth rates. Now we told you at the time, this is data from the July TW 22 ETR survey and the ETR hadn't released its October survey results at that time. >>This was just a couple weeks ago. And while we couldn't share the specific data from the October survey, we were able to get a glimpse and we depicted the slowdown that we saw in the October data with those dotted arrows kind of down into the right, we said at the time that we were seeing and across the board slowdown even for the big three cloud vendors. Now, fast forward to this past week and we saw earnings releases from Alphabet, Microsoft, and just last night Amazon. Now you may be thinking, okay, big deal. The ETR survey data didn't really tell us anything we didn't already know. But judging from the negative reaction in the stock market to these earnings announcements, the degree of softness surprised a lot of investors. Now, at the time we didn't update our forecast, it doesn't make sense for us to do that when we're that close to earning season. >>And now that all the big three ha with all the big four with the exception of Alibaba have announced we've, we've updated. And so here's that data. This chart lays out our view of the IS and PAs worldwide revenue. Basically it's cloud infrastructure with an attempt to exclude any SaaS revenue so we can make an apples to apples comparison across all the clouds. Now the reason that actual is in quotes is because Microsoft and Google don't report IAS revenue, but they do give us clues and kind of directional commentary, which we then triangulate with other data that we have from the channel and ETR surveys and just our own intelligence. Now the second column there after the vendor name shows our previous estimates for q3, and then next to that we show our actuals. Same with the growth rates. And then we round out the chart with that lighter blue color highlights, the full year estimates for revenue and growth. >>So the key takeaways are that we shaved about $4 billion in revenue and roughly 300 basis points of growth off of our full year estimates. AWS had a strong July but exited Q3 in the mid 20% growth rate year over year. So we're using that guidance, you know, for our Q4 estimates. Azure came in below our earlier estimates, but Google actually exceeded our expectations. Now the compression in the numbers is in our view of function of the macro demand climate, we've made every attempt to adjust for constant currency. So FX should not be a factor in this data, but it's sure you know that that ma the the, the currency effects are weighing on those companies income statements. And so look, this is the fundamental dynamic of a cloud model where you can dial down consumption when you need to and dial it up when you need to. >>Now you may be thinking that many big cloud customers have a committed level of spending in order to get better discounts. And that's true. But what's happening we think is they'll reallocate that spend toward, let's say for example, lower cost storage tiers or they may take advantage of better price performance processors like Graviton for example. That is a clear trend that we're seeing and smaller companies that were perhaps paying by the drink just on demand, they're moving to reserve instance models to lower their monthly bill. So instead of taking the easy way out and just spending more companies are reallocating their reserve capacity toward lower cost. So those sort of lower cost services, so they're spending time and effort optimizing to get more for, for less whereas, or get more for the same is really how we should, should, should phrase it. Whereas during the pandemic, many companies were, you know, they perhaps were not as focused on doing that because business was booming and they had a response. >>So they just, you know, spend more dial it up. So in general, as they say, customers are are doing more with, with the same. Now let's look at the growth dynamic and spend some time on that. I think this is important. This data shows worldwide quarterly revenue growth rates back to Q1 2019 for the big four. So a couple of interesting things. The data tells us during the pandemic, you saw both AWS and Azure, but the law of large numbers and actually accelerate growth. AWS especially saw progressively increasing growth rates throughout 2021 for each quarter. Now that trend, as you can see is reversed in 2022 for aws. Now we saw Azure come down a bit, but it's still in the low forties in terms of percentage growth. While Google actually saw an uptick in growth this last quarter for GCP by our estimates as GCP is becoming an increasingly large portion of Google's overall cloud business. >>Now, unfortunately Google Cloud continues to lose north of 850 million per quarter, whereas AWS and Azure are profitable cloud businesses even though Alibaba is suffering its woes from China. And we'll see how they come in when they report in mid-November. The overall hyperscale market grew at 32% in Q3 in terms of worldwide revenue. So the slowdown isn't due to the repatriation or competition from on-prem vendors in our view, it's a macro related trend. And cloud will continue to significantly outperform other sectors despite its massive size. You know, on the repatriation point, it just still doesn't show up in the data. The A 16 Z article from Sarah Wong and Martin Martin Kasa claiming that repatriation was inevitable as a means to lower cost of good sold for SaaS companies. You know, while that was thought provoking, it hasn't shown up in the numbers. And if you read the financial statements of both AWS and its partners like Snowflake and you dig into the, to the, to the quarterly reports, you'll see little notes and comments with their ongoing negotiations to lower cloud costs for customers. >>AWS and no doubt execs at Azure and GCP understand that the lifetime value of a customer is worth much more than near term gross margin. And you can expect the cloud vendors to strike a balance between profitability, near term profitability anyway and customer attention. Now, even though Google Cloud platform saw accelerated growth, we need to put that in context for you. So GCP, by our estimate, has now crossed over the $3 billion for quarter market actually did so last quarter, but its growth rate accelerated to 42% this quarter. And so that's a good sign in our view. But let's do a quick little comparison with when AWS and Azure crossed the $3 billion mark and compare their growth rates at the time. So if you go back to to Q2 2016, as we're showing in this chart, that's around the time that AWS hit 3 billion per quarter and at the same time was growing at 58%. >>Azure by our estimates crossed that mark in Q4 2018 and at that time was growing at 67%. Again, compare that to Google's 42%. So one would expect Google's growth rate would be higher than its competitors at this point in the MO in the maturity of its cloud, which it's, you know, it's really not when you compared to to Azure. I mean they're kind of con, you know, comparable now but today, but, but you'll go back, you know, to that $3 billion mark. But more so looking at history, you'd like to see its growth rate at this point of a maturity model at least over 50%, which we don't believe it is. And one other point on this topic, you know, my business friend Matt Baker from Dell often says it's not a zero sum game, meaning there's plenty of opportunity exists to build value on top of hyperscalers. >>And I would totally agree it's not a dollar for dollar swap if you can continue to innovate. But history will show that the first company in makes the most money. Number two can do really well and number three tends to break even. Now maybe cloud is different because you have Microsoft software estate and the power behind that and that's driving its IAS business and Google ads are funding technology buildouts for, for for Google and gcp. So you know, we'll see how that plays out. But right now by this one measurement, Google is four years behind Microsoft in six years behind aws. Now to the point that cloud will continue to outpace other markets, let's, let's break this down a bit in spending terms and see why this claim holds water. This is data from ET r's latest October survey that shows the granularity of its net score or spending velocity metric. >>The lime green is new adoptions, so they're adding the platform, the forest green is spending more 6% or more. The gray bars spending is flat plus or minus, you know, 5%. The pinkish colors represent spending less down 6% or worse. And the bright red shows defections or churn of the platform. You subtract the reds from the greens and you get what's called net score, which is that blue dot that you can see on each of the bars. So what you see in the table insert is that all three have net scores above 40%, which is a highly elevated measure. Microsoft's net scores above 60% AWS well into the fifties and GCP in the mid forties. So all good. Now what's happening with all three is more customers are keep keeping their spending flat. So a higher percentage of customers are saying, our spending is now flat than it was in previous quarters and that's what's accounting for the compression. >>But the churn of all three, even gcp, which we reported, you know, last quarter from last quarter survey was was five x. The other two is actually very low in the single digits. So that might have been an anomaly. So that's a very good sign in our view. You know, again, customers aren't repatriating in droves, it's just not a trend that we would bet on, maybe makes for a FUD or you know, good marketing head, but it's just not a big deal. And you can't help but be impressed with both Microsoft and AWS's performance in the survey. And as we mentioned before, these companies aren't going to give up customers to try and preserve a little bit of gross margin. They'll do what it takes to keep people on their platforms cuz they'll make up for it over time with added services and improved offerings. >>Now, once these companies acquire a customer, they'll be very aggressive about keeping them. So customers take note, you have negotiating leverage, so use it. Okay, let's look at another cut at the cloud market from the ETR data set. Here's the two dimensional view, again, it's back, it's one of our favorites. Net score or spending momentum plotted against presence. And the data set, that's the x axis net score on the, on the vertical axis, this is a view of et r's cloud computing sector sector. You can see we put that magic 40% dotted red line in the table showing and, and then that the table inserts shows how the data are plotted with net score against presence. I e n in the survey, notably only the big three are above the 40% line of the names that we're showing here. The oth there, there are others. >>I mean if you put Snowflake on there, it'd be higher than any of these names, but we'll dig into that name in a later breaking analysis episode. Now this is just another way of quantifying the dominance of AWS and Azure, not only relative to Google, but the other cloud platforms out there. So we've, we've taken the opportunity here to plot IBM and Oracle, which both own a public cloud. Their performance is largely a reflection of them migrating their install bases to their respective public clouds and or hybrid clouds. And you know, that's fine, they're in the game. That's a point that we've made, you know, a number of times they're able to make it through the cloud, not whole and they at least have one, but they simply don't have the business momentum of AWS and Azure, which is actually quite impressive because AWS and Azure are now as large or larger than IBM and Oracle. >>And to show this type of continued growth that that that Azure and AWS show at their size is quite remarkable and customers are starting to recognize the viability of on-prem hi, you know, hybrid clouds like HPE GreenLake and Dell's apex. You know, you may say, well that's not cloud, but if the customer thinks it is and it was reporting in the survey that it is, we're gonna continue to report this view. You know, I don't know what's happening with H P E, They had a big down tick this quarter and I, and I don't read too much into that because their end is still pretty small at 53. So big fluctuations are not uncommon with those types of smaller ends, but it's over 50. So, you know, we did notice a a a negative within a giant public and private sector, which is often a, a bellwether giant public private is big public companies and large private companies like, like a Mars for example. >>So it, you know, it looks like for HPE it could be an outlier. We saw within the Fortune 1000 HPE E'S cloud looked actually really good and it had good spending momentum in that sector. When you di dig into the industry data within ETR dataset, obviously we're not showing that here, but we'll continue to monitor that. Okay, so where's this Leave us. Well look, this is really a tactical story of currency and macro headwinds as you can see. You know, we've laid out some of the points on this slide. The action in the stock market today, which is Friday after some of the soft earnings reports is really robust. You know, we'll see how it ends up in the day. So maybe this is a sign that the worst is over, but we don't think so. The visibility from tech companies is murky right now as most are guiding down, which indicates that their conservative outlook last quarter was still too optimistic. >>But as it relates to cloud, that platform is not going anywhere anytime soon. Sure, there are potential disruptors on the horizon, especially at the edge, but we're still a long ways off from, from the possibility that a new economic model emerges from the edge to disrupt the cloud and the opportunities in the cloud remain strong. I mean, what other path is there? Really private cloud. It was kind of a bandaid until the on-prem guys could get their a as a service models rolled out, which is just now happening. The hybrid thing is real, but it's, you know, defensive for the incumbents until they can get their super cloud investments going. Super cloud implying, capturing value above the hyperscaler CapEx, you know, call it what you want multi what multi-cloud should have been, the metacloud, the Uber cloud, whatever you like. But there are opportunities to play offense and that's clearly happening in the cloud ecosystem with the likes of Snowflake, Mongo, Hashi Corp. >>Hammer Spaces is a startup in this area. Aviatrix, CrowdStrike, Zeke Scaler, Okta, many, many more. And even the projects we see coming out of enterprise players like Dell, like with Project Alpine and what Pure Storage is doing along with a number of other of the backup vendors. So Q4 should be really interesting, but the real story is the investments that that companies are making now to leverage the cloud for digital transformations will be paying off down the road. This is not 1999. We had, you know, May might have had some good ideas and admittedly at a lot of bad ones too, but you didn't have the infrastructure to service customers at a low enough cost like you do today. The cloud is that infrastructure and so far it's been transformative, but it's likely the best is yet to come. Okay, let's call this a rap. >>Many thanks to Alex Morrison who does production and manages the podcast. Also Can Schiffman is our newest edition to the Boston Studio. Kristin Martin and Cheryl Knight helped get the word out on social media and in our newsletters. And Rob Ho is our editor in chief over@siliconangle.com, who does some wonderful editing for us. Thank you. Remember, all these episodes are available as podcasts. Wherever you listen, just search breaking analysis podcast. I publish each week on wiki bond.com at silicon angle.com. And you can email me at David dot valante@siliconangle.com or DM me at Dante or comment on my LinkedIn posts. And please do checkout etr.ai. They got the best survey data in the enterprise tech business. This is Dave Valante for the Cube Insights powered by etr. Thanks for watching and we'll see you next time on breaking analysis.

Published Date : Oct 29 2022

SUMMARY :

From the Cube Studios in Palo Alto in Boston, bringing you data driven insights from Have you ever been driving on the highway and traffic suddenly slows way down and then after In the survey, the table, you see that table insert there that Now, at the time we didn't update our forecast, it doesn't make sense for us And now that all the big three ha with all the big four with the exception of Alibaba have announced So we're using that guidance, you know, for our Q4 estimates. Whereas during the pandemic, many companies were, you know, they perhaps were not as focused So they just, you know, spend more dial it up. So the slowdown isn't due to the repatriation or And you can expect the cloud And one other point on this topic, you know, my business friend Matt Baker from Dell often says it's not a And I would totally agree it's not a dollar for dollar swap if you can continue to So what you see in the table insert is that all three have net scores But the churn of all three, even gcp, which we reported, you know, And the data set, that's the x axis net score on the, That's a point that we've made, you know, a number of times they're able to make it through the cloud, the viability of on-prem hi, you know, hybrid clouds like HPE GreenLake and Dell's So it, you know, it looks like for HPE it could be an outlier. off from, from the possibility that a new economic model emerges from the edge to And even the projects we see coming out of enterprise And you can email me at David dot valante@siliconangle.com or DM me at Dante

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Alex MorrisonPERSON

0.99+

MicrosoftORGANIZATION

0.99+

AWSORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

AlibabaORGANIZATION

0.99+

IBMORGANIZATION

0.99+

AlphabetORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

Rob HoPERSON

0.99+

Cheryl KnightPERSON

0.99+

Matt BakerPERSON

0.99+

October 14thDATE

0.99+

DellORGANIZATION

0.99+

OracleORGANIZATION

0.99+

Dave ValantePERSON

0.99+

OctoberDATE

0.99+

$3 billionQUANTITY

0.99+

Sarah WongPERSON

0.99+

Palo AltoLOCATION

0.99+

42%QUANTITY

0.99+

32%QUANTITY

0.99+

FridayDATE

0.99+

1999DATE

0.99+

40%QUANTITY

0.99+

SnowflakeORGANIZATION

0.99+

5%QUANTITY

0.99+

six yearsQUANTITY

0.99+

3 billionQUANTITY

0.99+

2022DATE

0.99+

MongoORGANIZATION

0.99+

last quarterDATE

0.99+

67%QUANTITY

0.99+

Martin Martin KasaPERSON

0.99+

Kristin MartinPERSON

0.99+

AviatrixORGANIZATION

0.99+

JulyDATE

0.99+

CrowdStrikeORGANIZATION

0.99+

58%QUANTITY

0.99+

four yearsQUANTITY

0.99+

OktaORGANIZATION

0.99+

second columnQUANTITY

0.99+

Zeke ScalerORGANIZATION

0.99+

2021DATE

0.99+

last quarterDATE

0.99+

each weekQUANTITY

0.99+

over@siliconangle.comOTHER

0.99+

Dave AntePERSON

0.99+

Project AlpineORGANIZATION

0.99+

Wiki BondORGANIZATION

0.99+

mid fortiesDATE

0.99+

Hashi Corp.ORGANIZATION

0.99+

oneQUANTITY

0.99+

mid-NovemberDATE

0.99+

todayDATE

0.99+

eachQUANTITY

0.99+

AzureORGANIZATION

0.99+

about $4 billionQUANTITY

0.98+

Madhura Maskasky & Sirish Raghuram | KubeCon + CloudNativeCon NA 2022


 

(upbeat synth intro music) >> Hey everyone and welcome to Detroit, Michigan. theCUBE is live at KubeCon CloudNativeCon, North America 2022. Lisa Martin here with John Furrier. John, this event, the keynote that we got out of a little while ago was, standing room only. The Solutions hall is packed. There's so much buzz. The community is continuing to mature. They're continuing to contribute. One of the big topics is Cloud Native at Scale. >> Yeah, I mean, this is a revolution happening. The developers are coming on board. They will be running companies. Developers, structurally, will be transforming companies with just, they got to get powered somewhere. And, I think, the Cloud Native at Scale speaks to getting everything under the covers, scaling up to support developers. In this next segment, we have two Kube alumnis. We're going to talk about Cloud Native at Scale. Some of the things that need to be there in a unified architecture, should be great. >> All right, it's going to be fantastic. Let's go under the covers here, as John mentioned, two alumni with us, Madhura Maskasky joins us, co-founder of Platform9. Sirish Raghuram, also co-founder of Platform9 joins us. Welcome back to theCUBE. Great to have you guys here at KubeCon on the floor in Detroit. >> Thank you for having us. >> Thank you for having us. >> Excited to be here >> So, talk to us. You guys have some news, Madhura, give us the sneak peak. What's going on? >> Definitely, we are very excited. So, we have John, not too long ago we spoke about our very new open source project called Arlon. And, we were talking about the launch of Arlon in terms of its first release and etcetera. And, just fresh hot of the press, we, Platform9 had its 5.6 release which is its most recent release of our product. And there's a number of key interesting announcements that we'd like to share as part of that. I think, the prominent one is, Platform9 added support for EKS Kubernetes cluster management. And, so, this is part of our vision of being able to add value, no matter where you run your Kubernetes clusters, because, Kubernetes or cluster management, is increasingly becoming commodity. And, so, I think the companies that succeed are going to add value on top, and are going to add value in a way that helps end users, developers, DevOps solve problems that they encounter as they start running these environments, with a lot of scale and a lot of diversity. So, towards that, key features in the 5.6 six release. First, is the very first package release of the product online, which is the open source project that we've kicked off to do cluster and application, entire cluster management at scale. And, then there's few other very interesting capabilities coming out of that. >> I want to just highlight something and then get your thoughts on this next, this release 5.6. First of all, 5.6, it's been around for a while, five reps, but, now, more than ever, you mentioned the application in Ops. You're seeing WebAssembly trends, you're seeing developers getting more and more advanced capability. It's going to accelerate their ability to write code and compose applications. So, you're seeing a application tsunami coming. So, the pressure is okay, they're going to need infrastructure to run all that stuff. And, so, you're seeing more clusters being spun up, more intelligence trying to automate. So you got the automation, so you got the dynamic, the power dynamic of developers and then under the covers. What does 5.6 do to push the mission forward for developers? How would you guys summarize that for people watching? what's in it for them right now? >> So it's, I think going back to what you just said, right, the breadth of applications that people are developing on top of something like Kubernetes and Cloud Native, is always growing. So, it's not just a number of clusters, but also the fact that different applications and different development groups need these clusters to be composed differently. So, a certain version of the application may require some set of build components, add-ons, and operators, and extensions. Whereas, a different application may require something entirely different. And, now, you take this in an enterprise context, right. Like, we had a major media company that worked with us. They have more than 10,000 pods being used by thousands of developers. And, you now think about the breadth of applications, the hundreds of different applications being built. how do you consistently build, and compose, and manage, a large number of communities clusters with a a large variety of extensions that these companies are trying to manage? That's really what I think 5.6 is bringing to the table. >> Scott Johnston just was on here early as the CEO of Docker. He said there's more applications being pushed now than in the history of application development combined. There's more and more apps coming, more and more pressure on the system. >> And, that's where, if you go, there's this famous landscape chart of the CNCF ecosystem technologies. And, the problem that people here have is, how do they put it all together? How do they make sense of it? And, what 5.6 and Arlon and what Platform9 is doing is, it's helping you declaratively capture blueprints of these clusters, using templates, and be able to manage a small number of blueprints that helps you make order out of the chaos of these hundreds of different projects, that are all very interesting and powerful. >> So Project Arlon really helping developers produce the configuration and the deployment complexities of Kubernetes at scale. >> That's exactly right. >> Talk about the, the impact on the business side. Ease of use, what's the benefits for 5.6? What's does it turn into for a benefit standpoint? >> Yeah, I think the biggest benefit, right, is being able to do Cloud Native at Scale faster, and while still keeping a very lean Ops team that is able to spend, let's say 70 plus percent of their time, caring for your actual business bread and butter applications, and not for the infrastructure that serves it, right. If you take the analogy of a restaurant, you don't want to spend 70% of your time in building the appliances or setting up your stoves etcetera. You want to spend 90 plus percent of your time cooking your own meal, because, that is your core key ingredient. But, what happens today in most enterprises is, because, of the level of automation, the level of hands-on available tooling, being there or not being there, majority of the ops time, I would say 50, 70% plus, gets spent in making that kitchen set up and ready, right. And, that is exactly what we are looking to solve, online. >> What would a customer look like, or prospect environment look like that would be really ready for platform9? What, is it more apps being pushed, big push on application development, or is it the toil of like really inefficient infrastructure, or gaps in skills of people? What does an environment look like? So, someone needs to look at their environment and say, okay, maybe I should call platform9. What's it look like? >> So, we generally see customers fall into two ends of the barbell, I would say. One, is the advanced communities users that are running, I would say, typically, 30 or more clusters already. These are the people that already know containers. They know, they've container wise... >> Savvy teams. >> They're savvy teams, a lot of them are out here. And for them, the problem is, how do I manage the complexity at scale? Because, now, the problem is how do I scale us? So, that's one end of the barbell. The other end of the barbell, is, how do we help make Kubernetes accessible to companies that, as what I would call the mainstream enterprise. We're in Detroit in Motown, right, And, we're outside of the echo chamber of the Silicon Valley. Here's the biggest truth, right. For all the progress that we made as a community, less than 20% of applications in the enterprise today are running on Kubernetes. So, what does it take? I would say it's probably less than 10%, okay. And, what does it take, to grow that in order of magnitude? That's the other kind of customer that we really serve, is, because, we have technologies like Kube Word, which helps them take their existing applications and start adopting Kubernetes as a directional roadmap, but, while using the existing applications that they have, without refactoring it. So, I would say those are the two ends of the barbell. The early adopters that are looking for an easier way to adopt Kubernetes as an architectural pattern. And, the advanced savvy users, for whom the problem is, how do they operationally solve the complexity of managing at scale. >> And, what is your differentiation message to both of those different user groups, as you talked about in terms of the number of users of Kubernetes so far? The community groundswell is tremendous, but, there's a lot of opportunity there. You talked about some of the barriers. What's your differentiation? What do you come in saying, this is why Platform9 is the right one for you, in the both of these groups. >> And it's actually a very simple message. We are the simplest and easiest way for a new user that is adopting Kubernetes as an architectural pattern, to get started with existing applications that they have, on the infrastructure that they have. Number one. And, for the savvy teams, our technology helps you operate with greater scale, with constrained operations teams. Especially, with the economy being the way it is, people are not going to get a lot more budget to go hire a lot more people, right. So, that all of them are being asked to do more with less. And, our team, our technology, and our teams, help you do more with less. >> I was talking with Phil Estes last night from AWS. He's here, he is one of their engineer open source advocates. He's always on the ground pumping up AWS. They've had great success, Amazon Web Services, with their EKS. A lot of people adopting clusters on the cloud and on-premises. But Amazon's doing well. You guys have, I think, a relationship with AWS. What's that, If I'm an Amazon customer, how do I get involved with Platform9? What's the hook? Where's the value? What's the product look like? >> Yeah, so, and it kind of goes back towards the point we spoke about, which is, Kubernetes is going to increasingly get commoditized. So, customers are going to find the right home whether it's hyperscalers, EKS, AKS, GKE, or their own infrastructure, to run Kubernetes. And, so, where we want to be at, is, with a project like Arlon, Sirish spoke about the barbell strategy, on one end there is these advanced Kubernetes users, majority of them are running Kubernetes on AKS, right? Because, that was the easiest platform that they found to get started with. So, now, they have a challenge of running these 50 to 100 clusters across various regions of Amazon, across their DevTest, their staging, their production. And, that results in a level of chaos that these DevOps or platform... >> So you come in and solve that. >> That is where we come in and we solve that. And it, you know, Amazon or EKS, doesn't give you tooling to solve that, right. It makes it very easy for you to create those number of clusters. >> Well, even in one hyperscale, let's say AWS, you got regions and locations... >> Exactly >> ...that's kind of a super cloud problem, we're seeing, opportunity problem, and opportunity is that, on Amazon, availability zones is one thing, but, now, also, you got regions. >> That is absolutely right. You're on point John. And the way we solve it, is by using infrastructure as a code, by using GitOps principles, right? Where you define it once, you define it in a yaml file, you define exactly how for your DevTest environment you want your entire infrastructure to look like, including EKS. And then you stamp it out. >> So let me, here's an analogy, I'll throw out this. You guys are like, someone learns how to drive a car, Kubernetes clusters, that's got a couple clusters. Then once they know how to drive a car, you give 'em the sports car. You allow them to stay on Amazon and all of a sudden go completely distributed, Edge, Global. >> I would say that a lot of people that we meet, we feel like they're figuring out how to build a car with the kit tools that they have. And we give them a car that's ready to go and doesn't require them to be trying to... ... they can focus on driving the car, rather than trying to build the car. >> You don't want people to stop, once they get the progressions, they hit that level up on Kubernetes, you guys give them the ability to go much bigger and stronger. >> That's right. >> To accelerate that applications. >> Building a car gets old for people at a certain point in time, and they really want to focus on is driving it and enjoying it. >> And we got four right behind us, so, we'll get them involved. So that's... >> But, you're not reinventing the wheel. >> We're not at all, because, what we are building is two very, very differentiated solutions, right. One, is, we're the simplest and easiest way to build and run Cloud Native private clouds. And, this is where the operational complexity of trying to do it yourself. You really have to be a car builder, to be able to do this with our Platform9. This is what we do uniquely that nobody else does well. And, the other end is, we help you operate at scale, in the hyperscalers, right. Those are the two problems that I feel, whether you're on-prem, or in the cloud, these are the two problems people face. How do you run a private cloud more easily, more efficiently? And, how do you govern at scale, especially in the public clouds? >> I want to get to two more points before we run out of time. Arlon and Argo CD as a service. We previously mentioned up coming into KubeCon, but, here, you guys couldn't be more relevant, 'cause Intuit was on stage on the keynote, getting an award for their work. You know, Argo, it comes from Intuit. That ArgoCon was in Mountain View. You guys were involved in that. You guys were at the center of all this super cloud action, if you will, or open source. How does Arlon fit into the Argo extension? What is Argo CD as a service? Who's going to take that one? I want to get that out there, because, Arlon has been talked about a lot. What's the update? >> I can talk about it. So, one of the things that Arlon uses behind the scenes, is it uses Argo CD, open source Argo CD as a service, as its key component to do the continuous deployment portion of its entire, the infrastructure management story, right. So, we have been very strongly partnering with Argo CD. We, really know and respect the Intuit team a lot. We, as part of this effort, in 5.6 release, we've also put out Argo CD as a service, in its GA version, right. Because, the power of running Arlon along with Argo CD as a service, in our mind, is enabling you to run on one end, your infrastructure as a scale, through GitOps, and infrastructure as a code practices. And on the other end, your entire application fleet, at scale, right. And, just marrying the two, really gives you the ability to perform that automation that we spoke about. >> But, and avoid the problem of sprawl when you have distributed teams, you have now things being bolted on, more apps coming out. So, this is really solves that problem, mainly. >> That is exactly right. And if you think of it, the way those problems are solved today, is, kind of in disconnected fashion, which is on one end you have your CI/CD tools, like Argo CD is an excellent one. There's some other choices, which are managed by a separate team to automate your application delivery. But, that team, is disconnected from the team that does the infrastructure management. And the infrastructure management is typically done through a bunch of Terraform scripts, or a bunch of ad hoc homegrown scripts, which are very difficult to manage. >> So, Arlon changes sure, as they change the complexity and also the sprawl. But, that's also how companies can die. They're growing fast, they're adding more capability. That's what trouble starts, right? >> I think in two ways, right. Like one is, as Madhura said, I think one of the common long-standing problems we've had, is, how do infrastructure and application teams communicate and work together, right. And, you've seen Argo's really get adopted by the application teams, but, it's now something that we are making accessible for the infrastructure teams to also bring the best practices of how application teams are managing applications. You can now use that to manage infrastructure, right. And, what that's going to do is, help you ultimately reduce waste, reduce inefficiency, and improve the developer experience. Because, that's what it's all about, ultimately. >> And, I know that you just released 5.6 today, congratulations on that. Any customer feedback yet? Any, any customers that you've been able to talk to, or have early access? >> Yeah, one of our large customers is a large SaaS retail company that is B2C SaaS. And, their feedback has been that this, basically, helps them bring exactly what I said in terms of bring some of the best practices that they wanted to adopt in the application space, down to the infrastructure management teams, right. And, we are also hearing a lot of customers, that I would say, large scale public cloud users, saying, they're really struggling with the complexity of how to tame the complexity of navigating that landscape and making it consumable for organizations that have thousands of developers or more. And that's been the feedback, is that this is the first open source standard mechanism that allows them to kind of reuse something, as opposed to everybody feels like they've had to build ad hoc solutions to solve this problem so far. >> Having a unified infrastructure is great. My final question, for me, before I end up, for Lisa to ask her last question is, if you had to explain Platform9, why you're relevant and cool today, what would you say? >> If I take that? I would say that the reason why Platform9, the reason why we exist, is, putting together a cloud, a hybrid cloud strategy for an enterprise today, historically, has required a lot of DIY, a lot of building your own car. Before you can drive a car, or you can enjoy the car, you really learn to build and operate the car. And that's great for maybe a 100 tech companies of the world, but, for the next 10,000 or 50,000 enterprises, they want to be able to consume a car. And that's why Platform9 exists, is, we are the only company that makes this delightfully simple and easy for companies that have a hybrid cloud strategy. >> Why you cool and relevant? How would you say it? >> Yeah, I think as Kubernetes becomes mainstream, as containers have become mainstream, I think automation at scale with ease, is going to be the key. And that's exactly what we help solve. Automation at scale and with ease. >> With ease and that differentiation. Guys, thank you so much for joining me. Last question, I guess, Madhura, for you, is, where can Devs go to learn more about 5.6 and get their hands on it? >> Absolutely. Go to platform9.com. There is info about 5.6 release, there's a press release, there's a link to it right on the website. And, if they want to learn about Arlon, it's an open source GitHub project. Go to GitHub and find out more about it. >> Excellent guys, thanks again for sharing what you're doing to really deliver Cloud Native at Scale in a differentiated way that adds ostensible value to your customers. John, and I, appreciate your insights and your time. >> Thank you for having us. >> Thanks so much >> Our pleasure. For our guests and John Furrier, I'm Lisa Martin. You're watching theCUBE Live from Detroit, Michigan at KubeCon CloudNativeCon 2022. Stick around, John and I will be back with our next guest. Just a minute. (light synth outro music)

Published Date : Oct 28 2022

SUMMARY :

One of the big topics is Some of the things that need to be there Great to have you guys here at KubeCon So, talk to us. And, just fresh hot of the press, So, the pressure is okay, they're to what you just said, right, as the CEO of Docker. of the CNCF ecosystem technologies. produce the configuration and impact on the business side. because, of the level of automation, or is it the toil of One, is the advanced communities users of the Silicon Valley. in the both of these groups. And, for the savvy teams, He's always on the ground pumping up AWS. that they found to get started with. And it, you know, Amazon or you got regions and locations... but, now, also, you got regions. And the way we solve it, Then once they know how to drive a car, of people that we meet, to go much bigger and stronger. and they really want to focus on And we got four right behind us, And, the other end is, What's the update? And on the other end, your But, and avoid the problem of sprawl that does the infrastructure management. and also the sprawl. for the infrastructure teams to also bring And, I know that you of bring some of the best practices today, what would you say? of the world, ease, is going to be the key. to learn more about 5.6 there's a link to it right on the website. to your customers. be back with our next guest.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Madhura MaskaskyPERSON

0.99+

Lisa MartinPERSON

0.99+

JohnPERSON

0.99+

John FurrierPERSON

0.99+

LisaPERSON

0.99+

AWSORGANIZATION

0.99+

Sirish RaghuramPERSON

0.99+

MadhuraPERSON

0.99+

John FurrierPERSON

0.99+

DetroitLOCATION

0.99+

AmazonORGANIZATION

0.99+

Scott JohnstonPERSON

0.99+

30QUANTITY

0.99+

70%QUANTITY

0.99+

SirishPERSON

0.99+

50QUANTITY

0.99+

Amazon Web ServicesORGANIZATION

0.99+

twoQUANTITY

0.99+

Platform9ORGANIZATION

0.99+

two problemsQUANTITY

0.99+

Phil EstesPERSON

0.99+

100 tech companiesQUANTITY

0.99+

less than 20%QUANTITY

0.99+

less than 10%QUANTITY

0.99+

Silicon ValleyLOCATION

0.99+

Detroit, MichiganLOCATION

0.99+

FirstQUANTITY

0.99+

KubeConEVENT

0.99+

bothQUANTITY

0.99+

MotownLOCATION

0.99+

first releaseQUANTITY

0.99+

more than 10,000 podsQUANTITY

0.99+

DockerORGANIZATION

0.99+

firstQUANTITY

0.99+

two alumniQUANTITY

0.99+

two waysQUANTITY

0.99+

ArlonORGANIZATION

0.99+

5.6QUANTITY

0.98+

Mountain ViewLOCATION

0.98+

OneQUANTITY

0.98+

two more pointsQUANTITY

0.98+

oneQUANTITY

0.98+

EKSORGANIZATION

0.98+

last nightDATE

0.98+

Cloud NativeTITLE

0.98+

70 plus percentQUANTITY

0.97+

one endQUANTITY

0.97+

fourQUANTITY

0.97+

90 plus percentQUANTITY

0.97+

DevTestTITLE

0.97+

ArgoORGANIZATION

0.97+

50,000 enterprisesQUANTITY

0.96+

KubeORGANIZATION

0.96+

two endsQUANTITY

0.96+

IntuitORGANIZATION

0.96+

five repsQUANTITY

0.96+

todayDATE

0.96+

KubernetesTITLE

0.95+

GitOpsTITLE

0.95+

Cloud NativeTITLE

0.95+

platform9.comOTHER

0.95+

hundreds of different applicationsQUANTITY

0.95+

Michael Foster & Doron Caspin, Red Hat | KubeCon + CloudNativeCon NA 2022


 

(upbeat music) >> Hey guys, welcome back to the show floor of KubeCon + CloudNativeCon '22 North America from Detroit, Michigan. Lisa Martin here with John Furrier. This is day one, John at theCUBE's coverage. >> CUBE's coverage. >> theCUBE's coverage of KubeCon. Try saying that five times fast. Day one, we have three wall-to-wall days. We've been talking about Kubernetes, containers, adoption, cloud adoption, app modernization all morning. We can't talk about those things without addressing security. >> Yeah, this segment we're going to hear container and Kubernetes security for modern application 'cause the enterprise are moving there. And this segment with Red Hat's going to be important because they are the leader in the enterprise when it comes to open source in Linux. So this is going to be a very fun segment. >> Very fun segment. Two guests from Red Hat join us. Please welcome Doron Caspin, Senior Principal Product Manager at Red Hat. Michael Foster joins us as well, Principal Product Marketing Manager and StackRox Community Lead at Red Hat. Guys, great to have you on the program. >> Thanks for having us. >> Thank you for having us. >> It's awesome. So Michael StackRox acquisition's been about a year. You got some news? >> Yeah, 18 months. >> Unpack that for us. >> It's been 18 months, yeah. So StackRox in 2017, originally we shifted to be the Kubernetes-native security platform. That was our goal, that was our vision. Red Hat obviously saw a lot of powerful, let's say, mission statement in that, and they bought us in 2021. Pre-acquisition we were looking to create a cloud service. Originally we ran on Kubernetes platforms, we had an operator and things like that. Now we are looking to basically bring customers in into our service preview for ACS as a cloud service. That's very exciting. Security conversation is top notch right now. It's an all time high. You can't go with anywhere without talking about security. And specifically in the code, we were talking before we came on camera, the software supply chain is real. It's not just about verification. Where do you guys see the challenges right now? Containers having, even scanning them is not good enough. First of all, you got to scan them and that may not be good enough. Where's the security challenges and where's the opportunity? >> I think a little bit of it is a new way of thinking. The speed of security is actually does make you secure. We want to keep our images up and fresh and updated and we also want to make sure that we're keeping the open source and the different images that we're bringing in secure. Doron, I know you have some things to say about that too. He's been working tirelessly on the cloud service. >> Yeah, I think that one thing, you need to trust your sources. Even if in the open source world, you don't want to copy paste libraries from the web. And most of our customers using third party vendors and getting images from different location, we need to trust our sources and we have a really good, even if you have really good scanning solution, you not always can trust it. You need to have a good solution for that. >> And you guys are having news, you're announcing the Red Hat Advanced Cluster Security Cloud Service. >> Yes. >> What is that? >> So we took StackRox and we took the opportunity to make it as a cloud services so customer can consume the product as a cloud services as a start offering and customer can buy it through for Amazon Marketplace and in the future Azure Marketplace. So customer can use it for the AKS and EKS and AKS and also of course OpenShift. So we are not specifically for OpenShift. We're not just OpenShift. We also provide support for EKS and AKS. So we provided the capability to secure the whole cloud posture. We know customer are not only OpenShift or not only EKS. We have both. We have free cloud or full cloud. So we have open. >> So it's not just OpenShift, it's Kubernetes, environments, all together. >> Doron: All together, yeah. >> Lisa: Meeting customers where they are. >> Yeah, exactly. And we focus on, we are not trying to boil the ocean or solve the whole cloud security posture. We try to solve the Kubernetes security cluster. It's very unique and very need unique solution for that. It's not just added value in our cloud security solution. We think it's something special for Kubernetes and this is what Red that is aiming to. To solve this issue. >> And the ACS platform really doesn't change at all. It's just how they're consuming it. It's a lot quicker in the cloud. Time to value is right there. As soon as you start up a Kubernetes cluster, you can get started with ACS cloud service and get going really quickly. >> I'm going to ask you guys a very simple question, but I heard it in the bar in the lobby last night. Practitioners talking and they were excited about the Red Hat opportunity. They actually asked a question, where do I go and get some free Red Hat to test some Kubernetes out and run helm or whatever. They want to play around. And do you guys have a program for someone to get start for free? >> Yeah, so the cloud service specifically, we're going to service preview. So if people sign up, they'll be able to test it out and give us feedback. That's what we're looking for. >> John: Is that a Sandbox or is that going to be in the cloud? >> They can run it in their own environment. So they can sign up. >> John: Free. >> Doron: Yeah, free. >> For the service preview. All we're asking for is for customer feedback. And I know it's actually getting busy there. It's starting December. So the quicker people are, the better. >> So my friend at the lobby I was talking to, I told you it was free. I gave you the sandbox, but check out your cloud too. >> And we also have the open source version so you can download it and use it. >> Yeah, people want to know how to get involved. I'm getting a lot more folks coming to Red Hat from the open source side that want to get their feet wet. That's been a lot of people rarely interested. That's a real testament to the product leadership. Congratulations. >> Yeah, thank you. >> So what are the key challenges that you have on your roadmap right now? You got the products out there, what's the current stake? Can you scope the adoption? Can you share where we're at? What people are doing specifically and the real challenges? >> I think one of the biggest challenges is talking with customers with a slightly, I don't want to say outdated, but an older approach to security. You hear things like malware pop up and it's like, well, really what we should be doing is keeping things into low and medium vulnerabilities, looking at the configuration, managing risk accordingly. Having disparate security tools or different teams doing various things, it's really hard to get a security picture of what's going on in the cluster. That's some of the biggest challenges that we talk with customers about. >> And in terms of resolving those challenges, you mentioned malware, we talk about ransomware. It's a household word these days. It's no longer, are we going to get hit? It's when? It's what's the severity? It's how often? How are you guys helping customers to dial down some of the risk that's inherent and only growing these days? >> Yeah, risk, it's a tough word to generalize, but our whole goal is to give you as much security information in a way that's consumable so that you can evaluate your risk, set policies, and then enforce them early on in the cluster or early on in the development pipeline so that your developers get the security information they need, hopefully asynchronously. That's the best way to do it. It's nice and quick, but yeah. I don't know if Doron you want to add to that? >> Yeah, so I think, yeah, we know that ransomware, again, it's a big world for everyone and we understand the area of the boundaries where we want to, what we want to protect. And we think it's about policies and where we enforce it. So, and if you can enforce it on, we know that as we discussed before that you can scan the image, but we never know what is in it until you really run it. So one of the thing that we we provide is runtime scanning. So you can scan and you can have policy in runtime. So enforce things in runtime. But even if one image got in a way and get to your cluster and run on somewhere, we can stop it in runtime. >> Yeah. And even with the runtime enforcement, the biggest thing we have to educate customers on is that's the last-ditch effort. We want to get these security controls as early as possible. That's where the value's going to be. So we don't want to be blocking things from getting to staging six weeks after developers have been working on a project. >> I want to get you guys thoughts on developer productivity. Had Docker CEO on earlier and since then I had a couple people messaging me. Love the vision of Docker, but Docker Hub has some legacy and it might not, has does something kind of adoption that some people think it does. Are people moving 'cause there times they want to have these their own places? No one place or maybe there is, or how do you guys see the movement of say Docker Hub to just using containers? I don't need to be Docker Hub. What's the vis-a-vis competition? >> I mean working with open source with Red Hat, you have to meet the developers where they are. If your tool isn't cutting it for developers, they're going to find a new tool and really they're the engine, the growth engine of a lot of these technologies. So again, if Docker, I don't want to speak about Docker or what they're doing specifically, but I know that they pretty much kicked off the container revolution and got this whole thing started. >> A lot of people are using your environment too. We're hearing a lot of uptake on the Red Hat side too. So, this is open source help, it all sorts stuff out in the end, like you said, but you guys are getting a lot of traction there. Can you share what's happening there? >> I think one of the biggest things from a developer experience that I've seen is the universal base image that people are using. I can speak from a security standpoint, it's awesome that you have a base image where you can make one change or one issue and it can impact a lot of different applications. That's one of the big benefits that I see in adoption. >> What are some of the business, I'm curious what some of the business outcomes are. You talked about faster time to value obviously being able to get security shifted left and from a control perspective. but what are some of the, if I'm a business, if I'm a telco or a healthcare organization or a financial organization, what are some of the top line benefits that this can bubble up to impact? >> I mean for me, with those two providers, compliance is a massive one. And just having an overall look at what's going on in your clusters, in your environments so that when audit time comes, you're prepared. You can get through that extremely quickly. And then as well, when something inevitably does happen, you can get a good image of all of like, let's say a Log4Shell happens, you know exactly what clusters are affected. The triage time is a lot quicker. Developers can get back to developing and then yeah, you can get through it. >> One thing that we see that customers compliance is huge. >> Yes. And we don't want to, the old way was that, okay, I will provision a cluster and I will do scans and find things, but I need to do for PCI DSS for example. Today the customer want to provision in advance a PCI DSS cluster. So you need to do the compliance before you provision the cluster and make all the configuration already baked for PCI DSS or HIPAA compliance or FedRAMP. And this is where we try to use our compliance, we have tools for compliance today on OpenShift and other clusters and other distribution, but you can do this in advance before you even provision the cluster. And we also have tools to enforce it after that, after your provision, but you have to do it again before and after to make it more feasible. >> Advanced cluster management and the compliance operator really help with that. That's why OpenShift Platform Plus as a bundle is so popular. Just being able to know that when a cluster gets provision, it's going to be in compliance with whatever the healthcare provider is using. And then you can automatically have ACS as well pop up so you know exactly what applications are running, you know it's in compliance. I mean that's the speed. >> You mentioned the word operator, I get triggering word now for me because operator role is changing significantly on this next wave coming because of the automation. They're operating, but they're also devs too. They're developing and composing. It's almost like a dashboard, Lego blocks. The operator's not just manually racking and stacking like the old days, I'm oversimplifying it, but the new operators running stuff, they got observability, they got coding, their servicing policy. There's a lot going on. There's a lot of knobs. Is it going to get simpler? How do you guys see the org structures changing to fill the gap on what should be a very simple, turn some knobs, operate at scale? >> Well, when StackRox originally got acquired, one of the first things we did was put ACS into an operator and it actually made the application life cycle so much easier. It was very easy in the console to go and say, Hey yeah, I want ACS my cluster, click it. It would get provisioned. New clusters would get provisioned automatically. So underneath it might get more complicated. But in terms of the application lifecycle, operators make things so much easier. >> And of course I saw, I was lucky enough with Lisa to see Project Wisdom in AnsibleFest. You going to say, Hey, Red Hat, spin up the clusters and just magically will be voice activated. Starting to see AI come in. So again, operations operator is got to dev vibe and an SRE vibe, but it's not that direct. Something's happening there. We're trying to put our finger on. What do you guys think is happening? What's the real? What's the action? What's transforming? >> That's a good question. I think in general, things just move to the developers all the time. I mean, we talk about shift left security, everything's always going that way. Developers how they're handing everything. I'm not sure exactly. Doron, do you have any thoughts on that. >> Doron, what's your reaction? You can just, it's okay, say what you want. >> So I spoke with one of our customers yesterday and they say that in the last years, we developed tons of code just to operate their infrastructure. That if developers, so five or six years ago when a developer wanted VM, it will take him a week to get a VM because they need all their approval and someone need to actually provision this VM on VMware. And today they automate all the way end-to-end and it take two minutes to get a VM for developer. So operators are becoming developers as you said, and they develop code and they make the infrastructure as code and infrastructure as operator to make it more easy for the business to run. >> And then also if you add in DataOps, AIOps, DataOps, Security Ops, that's the new IT. It seems to be the new IT is the stuff that's scaling, a lot of data's coming in, you got security. So all that's got to be brought in. How do you guys view that into the equation? >> Oh, I mean you become big generalists. I think there's a reason why those cloud security or cloud professional certificates are becoming so popular. You have to know a lot about all the different applications, be able to code it, automate it, like you said, hopefully everything as code. And then it also makes it easy for security tools to come in and look and examine where the vulnerabilities are when those things are as code. So because you're going and developing all this automation, you do become, let's say a generalist. >> We've been hearing on theCUBE here and we've been hearing the industry, burnout, associated with security professionals and some DataOps because the tsunami of data, tsunami of breaches, a lot of engineers getting called in the middle of the night. So that's not automated. So this got to get solved quickly, scaled up quickly. >> Yes. There's two part question there. I think in terms of the burnout aspect, you better send some love to your security team because they only get called when things get broken and when they're doing a great job you never hear about them. So I think that's one of the things, it's a thankless profession. From the second part, if you have the right tools in place so that when something does hit the fan and does break, then you can make an automated or a specific decision upstream to change that, then things become easy. It's when the tools aren't in place and you have desperate environments so that when a Log4Shell or something like that comes in, you're scrambling trying to figure out what clusters are where and where you're impacted. >> Point of attack, remediate fast. That seems to be the new move. >> Yeah. And you do need to know exactly what's going on in your clusters and how to remediate it quickly, how to get the most impact with one change. >> And that makes sense. The service area is expanding. More things are being pushed. So things will, whether it's a zero day vulnerability or just attack. >> Just mix, yeah. Customer automate their all of things, but it's good and bad. Some customer told us they, I think Spotify lost the whole a full zone because of one mistake of a customer because they automate everything and you make one mistake. >> It scale the failure really. >> Exactly. Scaled the failure really fast. >> That was actually few contact I think four years ago. They talked about it. It was a great learning experience. >> It worked double edge sword there. >> Yeah. So definitely we need to, again, scale automation, test automation way too, you need to hold the drills around data. >> Yeah, you have to know the impact. There's a lot of talk in the security space about what you can and can't automate. And by default when you install ACS, everything is non-enforced. You have to have an admission control. >> How are you guys seeing your customers? Obviously Red Hat's got a great customer base. How are they adopting to the managed service wave that's coming? People are liking the managed services now because they maybe have skills gap issues. So managed service is becoming a big part of the portfolio. What's your guys' take on the managed services piece? >> It's just time to value. You're developing a new application, you need to get it out there quick. If somebody, your competitor gets out there a month before you do, that's a huge market advantage. >> So you care how you got there. >> Exactly. And so we've had so much Kubernetes expertise over the last 10 or so, 10 plus year or well, Kubernetes for seven plus years at Red Hat, that why wouldn't you leverage that knowledge internally so you can get your application. >> Why change your toolchain and your workflows go faster and take advantage of the managed service because it's just about getting from point A to point B. >> Exactly. >> Well, in time to value is, you mentioned that it's not a trivial term, it's not a marketing term. There's a lot of impact that can be made. Organizations that can move faster, that can iterate faster, develop what their customers are looking for so that they have that competitive advantage. It's definitely not something that's trivial. >> Yeah. And working in marketing, whenever you get that new feature out and I can go and chat about it online, it's always awesome. You always get customers interests. >> Pushing new code, being secure. What's next for you guys? What's on the agenda? What's around the corner? We'll see a lot of Red Hat at re:Invent. Obviously your relationship with AWS as strong as a company. Multi-cloud is here. Supercloud as we've been saying. Supercloud is a thing. What's next for you guys? >> So we launch the cloud services and the idea that we will get feedback from customers. We are not going GA. We're not going to sell it for now. We want to get customers, we want to get feedback to make the product as best what we can sell and best we can give for our customers and get feedback. And when we go GA and we start selling this product, we will get the best product in the market. So this is our goal. We want to get the customer in the loop and get as much as feedback as we can. And also we working very closely with our customers, our existing customers to announce the product to add more and more features what the customer needs. It's all about supply chain. I don't like it, but we have to say, it's all about making things more automated and make things more easy for our customer to use to have security in the Kubernetes environment. >> So where can your customers go? Clearly, you've made a big impact on our viewers with your conversation today. Where are they going to be able to go to get their hands on the release? >> So you can find it on online. We have a website to sign up for this program. It's on my blog. We have a blog out there for ACS cloud services. You can just go there, sign up, and we will contact the customer. >> Yeah. And there's another way, if you ever want to get your hands on it and you can do it for free, Open Source StackRox. The product is open source completely. And I would love feedback in Slack channel. It's one of the, we also get a ton of feedback from people who aren't actually paying customers and they contribute upstream. So that's an awesome way to get started. But like you said, you go to, if you search ACS cloud service and service preview. Don't have to be a Red Hat customer. Just if you're running a CNCF compliant Kubernetes version. we'd love to hear from you. >> All open source, all out in the open. >> Yep. >> Getting it available to the customers, the non-customers, they hopefully pending customers. Guys, thank you so much for joining John and me talking about the new release, the evolution of StackRox in the last season of 18 months. Lot of good stuff here. I think you've done a great job of getting the audience excited about what you're releasing. Thank you for your time. >> Thank you. >> Thank you. >> For our guest and for John Furrier, Lisa Martin here in Detroit, KubeCon + CloudNativeCon North America. Coming to you live, we'll be back with our next guest in just a minute. (gentle music)

Published Date : Oct 27 2022

SUMMARY :

back to the show floor Day one, we have three wall-to-wall days. So this is going to be a very fun segment. Guys, great to have you on the program. So Michael StackRox And specifically in the code, Doron, I know you have some Even if in the open source world, And you guys are having and in the future Azure Marketplace. So it's not just OpenShift, or solve the whole cloud security posture. It's a lot quicker in the cloud. I'm going to ask you Yeah, so the cloud So they can sign up. So the quicker people are, the better. So my friend at the so you can download it and use it. from the open source side that That's some of the biggest challenges How are you guys helping so that you can evaluate So one of the thing that we we the biggest thing we have I want to get you guys thoughts you have to meet the the end, like you said, it's awesome that you have a base image What are some of the business, and then yeah, you can get through it. One thing that we see that and make all the configuration and the compliance operator because of the automation. and it actually made the What do you guys think is happening? Doron, do you have any thoughts on that. okay, say what you want. for the business to run. So all that's got to be brought in. You have to know a lot about So this got to get solved and you have desperate environments That seems to be the new move. and how to remediate it quickly, And that makes sense. and you make one mistake. Scaled the contact I think four years ago. you need to hold the drills around data. And by default when you install ACS, How are you guys seeing your customers? It's just time to value. so you can get your application. and take advantage of the managed service Well, in time to value is, whenever you get that new feature out What's on the agenda? and the idea that we will Where are they going to be able to go So you can find it on online. and you can do it for job of getting the audience Coming to you live,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
LisaPERSON

0.99+

Lisa MartinPERSON

0.99+

Michael FosterPERSON

0.99+

AWSORGANIZATION

0.99+

JohnPERSON

0.99+

DoronPERSON

0.99+

Doron CaspinPERSON

0.99+

2017DATE

0.99+

2021DATE

0.99+

DecemberDATE

0.99+

SpotifyORGANIZATION

0.99+

Red HatORGANIZATION

0.99+

two minutesQUANTITY

0.99+

seven plus yearsQUANTITY

0.99+

second partQUANTITY

0.99+

John FurrierPERSON

0.99+

Detroit, MichiganLOCATION

0.99+

fiveDATE

0.99+

one mistakeQUANTITY

0.99+

KubeConEVENT

0.99+

SupercloudORGANIZATION

0.99+

Red HatORGANIZATION

0.99+

a weekQUANTITY

0.99+

yesterdayDATE

0.99+

two providersQUANTITY

0.99+

Two guestsQUANTITY

0.99+

18 monthsQUANTITY

0.99+

TodayDATE

0.99+

MichaelPERSON

0.99+

DockerORGANIZATION

0.99+

bothQUANTITY

0.99+

oneQUANTITY

0.99+

todayDATE

0.99+

LinuxTITLE

0.99+

four years agoDATE

0.98+

five timesQUANTITY

0.98+

one issueQUANTITY

0.98+

six years agoDATE

0.98+

zero dayQUANTITY

0.98+

six weeksQUANTITY

0.98+

CloudNativeConEVENT

0.98+

OpenShiftTITLE

0.98+

last nightDATE

0.98+

CUBEORGANIZATION

0.98+

one imageQUANTITY

0.97+

last yearsDATE

0.97+

FirstQUANTITY

0.97+

Azure MarketplaceTITLE

0.97+

One thingQUANTITY

0.97+

telcoORGANIZATION

0.97+

Day oneQUANTITY

0.97+

one thingQUANTITY

0.96+

Docker HubTITLE

0.96+

Docker HubORGANIZATION

0.96+

10 plus yearQUANTITY

0.96+

DoronORGANIZATION

0.96+

Project WisdomTITLE

0.96+

day oneQUANTITY

0.95+

LegoORGANIZATION

0.95+

one changeQUANTITY

0.95+

a minuteQUANTITY

0.95+

ACSTITLE

0.95+

CloudNativeCon '22EVENT

0.94+

KubernetesTITLE

0.94+

Daniel Newman, Futurum Research | AnsibleFest 2022


 

>>Hey guys. Welcome back to the Cubes coverage of Ansible Fast 2022. This is day two of our wall to wall coverage. Lisa Martin here with John Ferer. John, we're seeing this world where companies are saying if we can't automate it, we need to, The automation market is transforming. There's been a lot of buzz about that. A lot of technical chops here at Ansible Fest. >>Yeah, I mean, we've got a great guest here coming on Cuba alumni, Dean Newman, future room. He travels every event he's got. He's got his nose to the grindstone ear to the ground. Great analysis. I mean, we're gonna get into why it's important. How does Ansible fit into the big picture? It's really gonna be a great segment. The >>Board do it well, John just did my job for me about, I'll introduce him again. Daniel Newman, one of our alumni is Back Principal Analyst at Future and Research. Great to have you back on the cube. >>Yeah, it's good to join you. Excited to be back in Chicago. I don't know if you guys knew this, but for 40 years, this was my hometown. Now I don't necessarily brag about that anymore. I'm, I live in Austin now. I'm a proud Texan, but I did grow up here actually out in the west suburbs. I got off the plane, I felt the cold air, and I almost turned around and said, Does this thing go back? Yeah. Cause I'm, I've, I've grown thin skin. It did not take me long. I, I like the warm, Come on, >>I'm the saying, I'm from California and I got off the plane Monday. I went, Whoa, I need a coat. And I was in Miami a week ago and it was 85. >>Oh goodness. >>Crazy. So you just flew in. Talk about what's going on, your take on, on Ansible. We've talked a lot with the community, with partners, with customers, a lot of momentum. The flywheel of the community is going around and round and round. What are some of your perspectives that you see? >>Yeah, absolutely. Well, let's you know, I'm gonna take a quick step back. We're entering an era where companies are gonna have to figure out how to do more with less. Okay? We've got exponential data growth, we've got more architectural complexity than ever before. Companies are trying to discern how to deal with many different environments. And just at a macro level, Red Hat is one of the companies that is almost certainly gonna be part of this multi-cloud hybrid cloud era. So that should initially give a lot of confidence to the buying group that are looking at how to automate their environments. You're automating workflows, but really with, with Ansible, we're focused on automating it, automating the network. So as companies are kind of dig out, we're entering this recessionary period, Okay, we're gonna call it what it is. The first thing that they're gonna look at is how do we tech our way out of it? >>I had a wonderful one-on-one conversation with ServiceNow ceo, Bill McDermott, and we saw ServiceNow was in focus this morning in the initial opening session. This is the integration, right? Ansible integrating with ServiceNow. What we need to see is infrastructure automation, layers and applications working in concert to basically enable enterprises to be up and running all the time. Let's first fix the problems that are most common. Let's, let's automate 'em, let's script them. And then at some point, let's have them self resolving, which we saw at the end with Project Wisdom. So as I see it, automation is that layer that enterprises, boards, technologists, all can agree upon are basically here's something that can make our business more efficient, more profitable, and it's gonna deal with this short term downturn in a way that tech is actually gonna be the answer. Just like Bill and I said, let's tech our way out of it. >>If you look at the Red Hat being bought by ibm, you see Project Wisdom Project, not a product, it's a project. Project Wisdom is the confluence of research and practitioners kind of coming together with ai. So bringing AI power to the Ansible is interesting. Red Hat, Linux, Rel OpenShift, I mean, Red Hat's kind of position, isn't it? Kind of be in that right spot where a puck might be coming maybe. I mean, what do you think? >>Yeah, as analysts, we're really good at predicting the, the recent past. It's a joke I always like to make, but Red Hat's been building toward the future. I think for some time. Project Wisdom, first of all, I was very encouraged with it. One of the things that many people in the market probably have commented on is how close is IBM in Red Hat? Now, again, it's a $34 billion acquisition that was made, but boy, the cultures of these two companies couldn't be more different. And of course, Red Hat kind of carries this, this sort of middle ground layer where they provide a lot of value in services to companies that maybe don't use IBM at, at, for the public cloud especially. This was a great indication of how you can take the power of IBM's research, which of course has some of the world's most prolific data scientists, engineers, building things for the future. >>You know, you see things like yesterday they launched a, you know, an AI solution. You know, they're building chips, semiconductors, and technologies that are gonna power the future. They're building quantum. Long story short, they have these really brilliant technologists here that could be adding value to Red Hat. And I don't know that the, the world has fully been able to appreciate that. So when, when they got on stage and they kind of say, Here's how IBM is gonna help power the next generation, I was immediately very encouraged by the fact that the two companies are starting to show signs of how they can collaborate to offer value to their customers. Because of course, as John kind of started off with, his question is, they've kind of been where the puck is going. Open source, Linux hybrid cloud, This is the future. In the future. Every company's multi-cloud. And I said in a one-on-one meeting this morning, every company is going to probably have workloads on every cloud, especially large enterprises. >>Yeah. And I think that the secret's gonna be how do you make that evolve? And one of the things that's coming out of the industry over the years, and looking back as historians, we would say, gotta have standards. Well, with cloud, now people standards might slow things down. So you're gonna start to figure out how does the community and the developers are thinking it'll be the canary in the coal mine. And I'd love to get your reaction on that, because we got Cuban next week. You're seeing people kind of align and try to win the developers, which, you know, I always laugh cuz like, you don't wanna win, you want, you want them on your team, but you don't wanna win them. It's like a, it's like, so developers will decide, >>Well, I, I think what's happening is there are multiple forces that are driving product adoption. And John, getting the developers to support the utilization and adoption of any sort of stack goes a long way. We've seen how sticky it can be, how sticky it is with many of the public cloud pro providers, how sticky it is with certain applications. And it's gonna be sticky here in these interim layers like open source automation. And Red Hat does have a very compelling developer ecosystem. I mean, if you sat in the keynote this morning, I said, you know, if you're not a developer, some of this stuff would've been fairly difficult to understand. But as a developer you saw them laughing at jokes because, you know, what was it the whole part about, you know, it didn't actually, the ping wasn't a success, right? And everybody started laughing and you know, I, I was sitting next to someone who wasn't technical and, and you know, she kinda goes, What, what was so funny? >>I'm like, well, he said it worked. Do you see that? It said zero data trans or whatever that was. So, but if I may just really quickly, one, one other thing I did wanna say about Project Wisdom, John, that the low code and no code to the full stack developer is a continuum that every technology company is gonna have to think deeply about as we go to the future. Because the people that tend to know the process that needs to be automated tend to not be able to code it. And so we've seen every automation company on the planet sort of figuring out and how to address this low code, no code environment. I think the power of this partnership between IBM Research and Red Hat is that they have an incredibly deep bench of capabilities to do things like, like self-training. Okay, you've got so much data, such significant size models and accuracy is a problem, but we need systems that can self teach. They need to be able self-teach, self learn, self-heal so that we can actually get to the crux of what automation is supposed to do for us. And that's supposed to take the mundane out and enable those humans that know how to code to work on the really difficult and hard stuff because the automation's not gonna replace any of that stuff anytime soon. >>So where do you think looking at, at the partnership and the evolution of it between IBM research and Red Hat, and you're saying, you know, they're, they're, they're finally getting this synergy together. How is it gonna affect the future of automation and how is it poised to give them a competitive advantage in the market? >>Yeah, I think the future or the, the competitive space is that, that is, is ecosystems and integration. So yesterday you heard, you know, Red Hat Ansible focusing on a partnership with aws. You know, this week I was at Oracle Cloud world and they're talking about running their database in aws. And, and so I'm kind of going around to get to the answer to your question, but I think collaboration is sort of the future of growth and innovation. You need multiple companies working towards the same goal to put gobs of resources, that's the technical term, gobs of resources towards doing really hard things. And so Ansible has been very successful in automating and securing and focusing on very certain specific workloads that need to be automated, but we need more and there's gonna be more data created. The proliferation, especially the edge. So you saw all this stuff about Rockwell, How do you really automate the edge at scale? You need large models that are able to look and consume a ton of data that are gonna be continuously learning, and then eventually they're gonna be able to deliver value to these companies at scale. IBM plus Red Hat have really great resources to drive this kind of automation. Having said that, I see those partnerships with aws, with Microsoft, with ibm, with ServiceNow. It's not one player coming to the table. It's a lot of players. They >>Gotta be Switzerland. I mean they have the Switzerland. I mean, but the thing about the Amazon deal is like that marketplace integration essentially puts Ansible once a client's in on, on marketplace and you get the central on the same bill. I mean, that's gonna be a money maker for Ansible. I >>Couldn't agree more, John. I think being part of these public cloud marketplaces is gonna be so critical and having Ansible land and of course AWS largest public cloud by volume, largest marketplace today. And my opinion is that partnership will be extensible to the other public clouds over time. That just makes sense. And so you start, you know, I think we've learned this, John, you've done enough of these interviews that, you know, you start with the biggest, with the highest distribution and probability rates, which in this case right now is aws, but it'll land on in Azure, it'll land in Google and it'll continue to, to grow. And that kind of adoption, streamlining make it consumption more consumable. That's >>Always, I think, Red Hat and Ansible, you nailed it on that whole point about multicloud, because what happens then is why would I want to alienate a marketplace audience to use my product when it could span multiple environments, right? So you saw, you heard that Stephanie yesterday talk about they, they didn't say multiple clouds, multiple environments. And I think that is where I think I see this layer coming in because some companies just have to work on all clouds. That's the way it has to be. Why wouldn't you? >>Yeah. Well every, every company will probably end up with some workloads in every cloud. I just think that is the fate. Whether it's how we consume our SaaS, which a lot of people don't think about, but it always tends to be running on another hyperscale public cloud. Most companies tend to be consuming some workloads from every cloud. It's not always direct. So they might have a single control plane that they tend to lead the way with, but that is only gonna continue to change. And every public cloud company seems to be working on figuring out what their niche is. What is the one thing that sort of drives whether, you know, it is, you know, traditional, we know the commoditization of traditional storage network compute. So now you're seeing things like ai, things like automation, things like the edge collaboration tools, software being put into the, to the forefront because it's a different consumption model, it's a different margin and economic model. And then of course it gives competitive advantages. And we've seen that, you know, I came back from Google Cloud next and at Google Cloud next, you know, you can see they're leaning into the data AI cloud. I mean, that is their focus, like data ai. This is how we get people to come in and start using Google, who in most cases, they're probably using AWS or Microsoft today. >>It's a great specialty cloud right there. That's a big use case. I can run data on Google and run something on aws. >>And then of course you've got all kinds of, and this is a little off topic, but you got sovereignty, compliance, regulatory that tends to drive different clouds over, you know, global clouds like Tencent and Alibaba. You know, if your workloads are in China, >>Well, this comes back down at least to the whole complexity issue. I mean, it has to get complex before it gets easier. And I think that's what we're seeing companies opportunities like Ansible to be like, Okay, tame, tame the complexity. >>Yeah. Yeah, I totally agree with you. I mean, look, when I was watching the demonstrations today, my take is there's so many kind of simple, repeatable and mundane tasks in everyday life that enterprises need to, to automate. Do that first, you know? Then the second thing is working on how do you create self-healing, self-teaching, self-learning, You know, and, and I realize I'm a little broken of a broken record at this, but these are those first things to fix. You know, I know we want to jump to the future where we automate every task and we have multi-term conversational AI that is booking our calendars and driving our cars for us. But in the first place, we just need to say, Hey, the network's down. Like, let's make sure that we can quickly get access back to that network again. Let's make sure that we're able to reach our different zones and locations. Let's make sure that robotic arm is continually doing the thing it's supposed to be doing on the schedule that it's been committed to. That's first. And then we can get to some of these really intensive deep metaverse state of automation that we talk about. Self-learning, data replication, synthetic data. I'm just gonna throw terms around. So I sound super smart. >>In your customer conversations though, from an looking at the automation journey, are you finding most of them, or some percentage is, is wanting to go directly into those really complex projects rather than starting with the basics? >>I don't know that you're, you're finding that the customers want to do that? I think it's the architecture that often ends up being a problem is we as, as the vendor side, will tend to talk about the most complex problems that they're able to solve before companies have really started solving the, the immediate problems that are before them. You know, it's, we talk about, you know, the metaphor of the cloud is a great one, but we talk about the cloud, like it's ubiquitous. Yeah. But less than 30% of our workloads are in the public cloud. Automation is still in very early days and in many industries it's fairly nascent. And doing things like self-healing networks is still something that hasn't even been able to be deployed on an enterprise-wide basis, let alone at the industrial layer. Maybe at the company's on manufacturing PLAs or in oil fields. Like these are places that have difficult to reach infrastructure that needs to be running all the time. We need to build systems and leverage the power of automation to keep that stuff up and running. That's, that's just business value, which by the way is what makes the world go running. Yeah. Awesome. >>A lot of customers and users are struggling to find what's the value in automating certain process, What's the ROI in it? How do you help them get there so that they understand how to start, but truly to make it a journey that is a success. >>ROI tends to be a little bit nebulous. It's one of those things I think a lot of analysts do. Things like TCO analysis Yeah. Is an ROI analysis. I think the businesses actually tend to know what the ROI is gonna be because they can basically look at something like, you know, when you have an msa, here's the downtime, right? Business can typically tell you, you know, I guarantee you Amazon could say, Look for every second of downtime, this is how much commerce it costs us. Yeah. A company can generally say, if it was, you know, we had the energy, the windmills company, like they could say every minute that windmill isn't running, we're creating, you know, X amount less energy. So there's a, there's a time value proposition that companies can determine. Now the question is, is about the deployment. You know, we, I've seen it more nascent, like cybersecurity can tend to be nascent. >>Like what does a breach cost us? Well there's, you know, specific costs of actually getting the breach cured or paying for the cybersecurity services. And then there's the actual, you know, ephemeral costs of brand damage and of risks and customer, you know, negative customer sentiment that potentially comes out of it. With automation, I think it's actually pretty well understood. They can look at, hey, if we can do this many more cycles, if we can keep our uptime at this rate, if we can reduce specific workforce, and I'm always very careful about this because I don't believe automation is about replacement or displacement, but I do think it is about up-leveling and it is about helping people work on things that are complex problems that machines can't solve. I mean, said that if you don't need to put as many bodies on something that can be immediately returned to the organization's bottom line, or those resources can be used for something more innovative. So all those things are pretty well understood. Getting the automation to full deployment at scale, though, I think what often, it's not that roi, it's the timeline that gets misunderstood. Like all it projects, they tend to take longer. And even when things are made really easy, like with what Project Wisdom is trying to do, semantically enable through low code, no code and the ability to get more accuracy, it just never tends to happen quite as fast. So, but that's not an automation problem, That's just the crux of it. >>Okay. What are some of the, the next things on your plate? You're quite a, a busy guy. We, you, you were at Google, you were at Oracle, you're here today. What are some of the next things that we can expect from Daniel Newman? >>Oh boy, I moved Really, I do move really quickly and thank you for that. Well, I'm very excited. I'm taking a couple of work personal days. I don't know if you're a fan, but F1 is this weekend. I'm the US Grand Prix. Oh, you're gonna Austin. So I will be, I live in Austin. Oh. So I will be in Austin. I will be at the Grand Prix. It is work because it, you know, I'm going with a number of our clients that have, have sponsorships there. So I'll be spending time figuring out how the data that comes off of these really fun cars is meaningfully gonna change the world. I'll actually be talking to Splunk CEO at the, at the race on Saturday morning. But yeah, I got a lot of great things. I got a, a conversation coming up with the CEO of Twilio next week. We got a huge week of earnings ahead and so I do a lot of work on that. So I'll be on Bloomberg next week with Emily Chang talking about Microsoft and Google. Love talking to Emily, but just as much love being here on, on the queue with you >>Guys. Well we like to hear that. Who you're rooting for F one's your favorite driver. I, >>I, I like Lando. Do you? I'm Norris. I know it's not necessarily a fan favorite, but I'm a bit of a McLaren guy. I mean obviously I have clients with Oracle and Red Bull with Ball Common Ferrari. I've got Cly Splunk and so I have clients in all. So I'm cheering for all of 'em. And on Sunday I'm actually gonna be in the Williams Paddock. So I don't, I don't know if that's gonna gimme me a chance to really root for anything, but I'm always, always a big fan of the underdog. So maybe Latifi. >>There you go. And the data that comes off the how many central unbeliev, the car, it's crazy's. Such a scientific sport. Believable. >>We could have Christian, I was with Christian Horner yesterday, the team principal from Reside. Oh yeah, yeah. He was at the Oracle event and we did a q and a with him and with the CMO of, it's so much fun. F1 has been unbelievable to watch the momentum and what a great, you know, transitional conversation to to, to CX and automation of experiences for fans as the fan has grown by hundreds of percent. But just to circle back full way, I was very encouraged with what I saw today. Red Hat, Ansible, IBM Strong partnership. I like what they're doing in their expanded ecosystem. And automation, by the way, is gonna be one of the most robust investment areas over the next few years, even as other parts of tech continue to struggle that in cyber security. >>You heard it here. First guys, investment in automation and cyber security straight from two analysts. I got to sit between. For our guests and John Furrier, I'm Lisa Martin, you're watching The Cube Live from Chicago, Ansible Fest 22. John and I will be back after a short break. SO'S stick around.

Published Date : Oct 19 2022

SUMMARY :

Welcome back to the Cubes coverage of Ansible Fast 2022. He's got his nose to the grindstone ear to the ground. Great to have you back on the cube. I got off the plane, I felt the cold air, and I almost turned around and said, Does this thing go back? And I was in Miami a week ago and it was 85. The flywheel of the community is going around and round So that should initially give a lot of confidence to the buying group that in concert to basically enable enterprises to be up and running all the time. I mean, what do you think? One of the things that many people in the market And I don't know that the, the world has fully been able to appreciate that. And I'd love to get your reaction on that, because we got Cuban next week. And John, getting the developers to support the utilization Because the people that tend to know the process that needs to be the future of automation and how is it poised to give them a competitive advantage in the market? You need large models that are able to look and consume a ton of data that are gonna be continuously I mean, but the thing about the Amazon deal is like that marketplace integration And so you start, And I think that is where I think I see this What is the one thing that sort of drives whether, you know, it is, you know, I can run data on Google regulatory that tends to drive different clouds over, you know, global clouds like Tencent and Alibaba. I mean, it has to get complex before is continually doing the thing it's supposed to be doing on the schedule that it's been committed to. leverage the power of automation to keep that stuff up and running. how to start, but truly to make it a journey that is a success. to know what the ROI is gonna be because they can basically look at something like, you know, I mean, said that if you don't need to put as many bodies on something that What are some of the next things that we can Love talking to Emily, but just as much love being here on, on the queue with you Who you're rooting for F one's your favorite driver. And on Sunday I'm actually gonna be in the Williams Paddock. And the data that comes off the how many central unbeliev, the car, And automation, by the way, is gonna be one of the most robust investment areas over the next few years, I got to sit between.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

Daniel NewmanPERSON

0.99+

MicrosoftORGANIZATION

0.99+

CaliforniaLOCATION

0.99+

JohnPERSON

0.99+

AlibabaORGANIZATION

0.99+

ChicagoLOCATION

0.99+

Dean NewmanPERSON

0.99+

Emily ChangPERSON

0.99+

John FurrierPERSON

0.99+

AustinLOCATION

0.99+

AmazonORGANIZATION

0.99+

John FererPERSON

0.99+

IBMORGANIZATION

0.99+

EmilyPERSON

0.99+

MiamiLOCATION

0.99+

TencentORGANIZATION

0.99+

ChinaLOCATION

0.99+

OracleORGANIZATION

0.99+

MondayDATE

0.99+

GoogleORGANIZATION

0.99+

AWSORGANIZATION

0.99+

AnsibleORGANIZATION

0.99+

Red HatORGANIZATION

0.99+

40 yearsQUANTITY

0.99+

TwilioORGANIZATION

0.99+

next weekDATE

0.99+

firstQUANTITY

0.99+

yesterdayDATE

0.99+

SundayDATE

0.99+

Saturday morningDATE

0.99+

Futurum ResearchORGANIZATION

0.99+

two companiesQUANTITY

0.99+

BillPERSON

0.99+

Red BullORGANIZATION

0.99+

StephaniePERSON

0.99+

less than 30%QUANTITY

0.99+

85QUANTITY

0.99+

ibmORGANIZATION

0.99+

todayDATE

0.99+

The Cube LiveTITLE

0.99+

two analystsQUANTITY

0.99+

IBM ResearchORGANIZATION

0.99+

McLarenORGANIZATION

0.99+

Bill McDermottPERSON

0.99+

oneQUANTITY

0.99+

Christian HornerPERSON

0.98+

this weekDATE

0.98+

one playerQUANTITY

0.98+

Williams PaddockLOCATION

0.98+

RockwellORGANIZATION

0.98+

Grand PrixEVENT

0.98+

Jeff Boudreau, Dell Technology Summit


 

>>Welcome back to the Cube's exclusive coverage of the Dell Technology Summit. I'm Dave Ante. We're going inside with Dell Execs to extract the signal from the noise. And right now we're gonna dig into customer requirements in a data intensive world and how cross cloud complexities get resolved from a product development perspective and how the ecosystem fits in to that mosaic to close the gaps and accelerate innovation. And with me now as friend of the cube, Jeff Boudreau, he's the president of the Infrastructure Solutions Group, ISG at Dell Technologies. Jeff, always good to see you. Welcome. >>You too. Thank you for having me. It's great to see you. And thanks for having me back on the cube. I'm thrilled to be here. Yeah, >>It's our pleasure. Okay, so let's talk about what you're observing from customers today. You know, we talk all the time about operating in a data driven multi-cloud world, blah, blah, blah, blah. But what does that all mean to you when you have to translate that noise into products that solve specific customer problems, Jeff? >>Sure. Hey, great question. And everything always starts with our customers. They're our motivation, They're top of mind, everything we do. My leadership team and I spend a lot of time with our customers. We're listening, we're learning, we're really understanding their pain points, and we want to get their feedback in regards to our solutions, both turn and future offerings, really ensure that we're aligned to meeting their business objectives. I would say from these conversations, I'd say customers are telling us several things. First, it's all about data. So no surprise going back to your opening. And second, it's about the multi-cloud world. And I'd say the big thing coming from all of this is that both of those are driving a ton of complexity for our customers. And I'll unpack that just a bit, which is first the data. As we all know, data is growing at unprecedented rates with more than 90% of the world's data being produced in the last two years alone. >>And you can just think of that in its everywhere, right? And so as it is, the IT world shifts towards distributed compute to support that data growth and that data gravity to really extract more value from that data in real time environments become inherently more and more hybrid and more and more multi-cloud. Which leads me to the second key point that I've been hearing from our customers, which it's a multi-cloud world, not new news. Customers by default have multiple clouds running across multiple locations. That's OnPrem and off, it's running at the edge and it's serving a variety of different needs. Unfortunately, for most of our CU customers, multicloud actually added to their complexity. As we've discussed, it's been a lot more of multi-cloud by default versus multicloud by design. If you really think about our customers, I mean, I, I, I'm talking to 'EM all the time. >>You think about the data complexity, that's the growth and the gravity. You think about their infrastructure complexity shifting from central to decentralized it, you think about multi-cloud complexity. So you have these walled gardens, if you will. So you have multiple vendors and you have these multiple contracts that all creates operational complexity for their teams around their processes of their tools. And then you think about the security complexity that that drives with the, just the increased tax service and the list goes on. So what are we seeing for our customers? They, what they really want from, also what they're asking us for is simplicity, not complexity. The mediacy, not latency. They're asking for open and align versus I'd say siloed and closed. And they're looking for a lot more agility and not rigidity in what we do. So they really wanna simplify everything. They're looking for a simpler IT in a more agile it, and they want more control of their data, right? >>And so, and they want to extract more of the value to enrich their business or their customer engagements, which all sounds pretty obvious and we've probably all heard it a bunch, but it's really hard to achieve. And that's where I believe, and we believe as Dell, that we, it creates a big opportunity for us to really help our customers as that great simplifier of it. We're already doing this today. Just a couple quick examples. First is Salesforce. We've supported recently, we've supported their global expansion with a multi-cloud solution to help them drive their business growth. Our solution delivered a reliable and consistent IT experience will go back to that complexity. And it was across a very distributed environment, including more than 60 data centers, 230 countries in hundreds of thousands of customers. It really provided Salesforce with the flexibility of placing workloads and data in an environment based on the right service level. >>Objective things like cost complexity or even security compliance considerations. The second customer A is a big new knowing little Patriot fan. And Dan, Dave, I know you are as well. Oh yeah, this one's near, near and data to my heart, it's the craft group. We just created a platform to span all their businesses that created more, I'd say data driven, immersive, secure experience, which is allowing them to capture data at the edge and use it for real time insights for things like cyber resiliency, but also like safety of the facilities. And as being a PA patron fan like I am, did they truly are meeting us where we are in our seats on their mobile devices and also in the parking lot. So just keep that in mind next time you're there. The bottom line, everything we're doing is really to make it simpler for our customers and to help them get the most of their data. I'd say we're gonna do this, is it through a multi-cloud by design approach, which we've talked a lot about with you and and others at Dell Tech world earlier this >>Year, right? And we had Salesforce on, actually at Dell Tech Group. The craft group is interesting because, you know, when you get to the stadium, you know, everybody's trying to get, get, get out to the internet and, and, but then the experience is so much better if you can actually, you know, deal with that edge. So I wanna talk about complexity though. You got data, you got, you know, the, the edge, you got multiple clouds, you got a different operating model across security model, different. So a lot of times in this industry we solve complexity with more complexity and it's like a bandaid. So I wanna, I wanna talk to, to how you're innovating around simplicity in ISG to address this complexity and what this means for Dell's long term strategy. >>Sure, I'd love to. So first I, I'd like to state the obvious, which are our investments in our innovations really focused on advancing, you know, our, our our customers needs, right? So we are really, our investments are gonna be targeted. We, we believe customers can have the most value. And some of that's gonna be around how we create strategic partnerships as well. Connecting to what we just spoke about. Much of the complexity of customers have or experiencing is the orchestration and management of all the data in all these different places. And customers, you know, they must be able to quickly deploy and operate across cloud environments. They need to increase their developer productivity, really enabling those developers that do what they do best, which is creating more value for their customers than for their businesses. Our innovation efforts are really focused on addressing this by delivering an open and modern IT architecture that allows customers to run and manage any workload in any cloud anywhere. >>Data lives we're focused on, also focused on consumption based solutions, which allow for a greater degree of simplicity and flexibility, which they're really asking for as well. The foundation for this is our software defined common storage layer. That common storage layer, You can think about this, Dave, as our ias if you will. It underpins our data access in mobility across all data types of locations. So you can think private, public, telecom, colo, edge, and it's delivered in a secure, holistic, and consistent cloud experience through Apex. We are making a ton of progress to let you, just to be, just to be clear, we made headway in things like Project Alpine, which you're very well aware of. This is our storage as a service. We announced us back in in January, which brings our unique software IP from our flagship storage platform to all the major public clouds. >>Really delivering the best of both worlds, allowing our customers to take advantage of Dell's enterprise class data services and storage software, such as performance at scale, resiliency, efficiency and security. But in addition to that, we're leveraging the breadth of the public cloud services, right? They're on demand scaling capabilities and access to analytical services. So in addition, we're really, we're, we're on our way to win at the edge as well with Project Frontier, which reduces complexity at the edge by creating an open and secure software platform to help our customers simplify their edge operations, optimize their edge environments and investments, secure that edge environment as well. I believe you're gonna be discussing Project Frontier here with Sam Broco in the very near future. So I won't give up more, too many more details there. And lastly, we're also scaling Apex, which, you know, well shifting from our vision, really shifting from vision to reality and introducing several new Apex service offerings, which are coming to market over the next month or so. And the intent is really supporting our customers on there as a service transitions by modernize the con consumption experience and providing that flexible as a service model. Ultimately, we're trying to help our customers achieve that multi-cloud by design to really simplify it in a, unlock the power of their data. >>So some good examples there. I I like to talk about the super Cloud as you, you know, you're building on top of the, you know, hyperscale infrastructure and you got Apex is your cloud, the common storage layer, you call it your ISAs. And that's, that's a ingredient in what we call the super cloud out to the edge. You have to have a common platform there and one of the hallmarks of a cloud company. And as you become a cloud company, everybody's a cloud company ecosystem becomes really, really important in terms of product development and, and innovation. Matt Baker always loves to stress it's not a zero sum game. And, and I think Super Cloud recognizes that, that there's value to be built on top of other clouds and, and, and of course on top of your infrastructure so that your ecosystem can add value. So what role does the ecosystem play there? >>For me, it's, it's pretty clear. It's, it's, it's critical. I can't say that enough above the having an open ecosystem. Think about everything we just discussed, and I agree with your super cloud analogy. I agree with what Matt Baker had said to you, I would assert no one company can actually address all the pain points and all the issues and challenges that customers are having on their own, not one. I think customers really want and deserve an open technology ecosystem, one that works together. So not these close stacks that discourage this interoperability or stifles innovation and productivity of our, of each of our teams. We Dell, I guess, have a long history of supporting open ecosystems that really put customers first. And to be clear, we're gonna be at the center of the multi-cloud ecosystem and we're working with partners today to make that a reality. >>I mean, just think of what we're doing with VMware. We continue to build on our first investment alliances with them in August at their VMware explorer, which I know you were at. We announced several joint engineering initiatives to really help customers more easily manage and gain value from their data in their infrastructure. For multi-cloud specifically, we strength our relationship with VMware and know with Tansu as part of that. In addition, just a few weeks ago we announced our partnership with Red Hat to simplify our multicloud deployments for managing containerized workloads. I'd say, and using your analogy, I could think of that as our multicloud platform. So that's kind of our PAs layer, if you will. And as you're aware, we have a very longstanding and strategic partnership with Microsoft and I'd say stay tuned. There's a lot more to come with them and also others in this multi-cloud space. >>Shifting a bit to some of the growth engines that my team's responsible for the edge, right? As you think about data being everywhere, we've established partnerships for the Edge as well with folks like PTC and Litmus for the manufacturing edge, but also folks like Deep North for the retail edge analytics in data management, using your Supercloud analogy data, the sa right? This is our SAS layer. We've announced that we're collaborating, partnering with folks like Snowflake and, and there's other data management companies as well to really simplify data access and accelerate those data insights. And then given customers choice of where they'd like to have their IT and their infrastructure, we've we're expanding our colo partnerships as well with folks like Equinox and, and they're allowing us to broaden our availability of Apex, providing customers the flexibility to take advantage of those as a service offerings wherever it's delivered and where they can get the most value. So those are just some you can hear from me. I think it's critical not only for, for us, I think it's critical for our customers. I think it's been critical, critical for the entire, you know, industry as a whole to really have that open technology ecosystem as we work with our customers on our multi-cloud solutions really to meet their needs. We'll continue to collaborate with whoever customers choose and you know, and who they want us to do business with. So I'd say a lot more coming in that space. >>So it's been an interesting three years for you, just, just over three years now since you've been made the president of the IS isg. And so you had to dig in and it was obviously strange time around the world, but, but you really had to look at, okay, how do we modernize the platform? How do we make it, you know, cloud first? You've mentioned the Edge, we're expanding. So what are the big takeaways? What do you want customers and our audience to understand? Just some closing thoughts and if you could summarize. >>Sure. So I'd say first, you know, we discuss, we're working in a very fast paced, ever changing market with massive amounts of data that needs to be managed. It's very complex and our customers need help with that complexity. I believe that Dell Technologies is uniquely positioned to help as their multi-cloud champion. No one else can solve the breadth and depth of the challenges like we can. And we're gonna help our customers move forward when they basically moving from a multi-cloud by default, as we've discussed before, to multicloud by design. And I'm really excited for the opportunity to work with our customers to help them expand that ecosystem as they truly realize the future of it and, and what they're trying to accomplish. >>Jeff, thanks so much. Really appreciate your time. Always a pleasure. Go pats and we'll see you on the blog. >>Thanks Dave. >>All right, you're watching Exclusive Inside Insights from Dell Technology Summit on the cube, your leader in enterprise and emerging tech coverage.

Published Date : Oct 13 2022

SUMMARY :

how the ecosystem fits in to that mosaic to close the gaps and accelerate And thanks for having me back on the cube. But what does that all mean to you when you have to translate And I'd say the big thing coming from all of this is that both of those are driving And you can just think of that in its everywhere, right? from central to decentralized it, you think about multi-cloud complexity. And so, and they want to extract more of the value to enrich their business or their customer engagements, And Dan, Dave, I know you are as well. So a lot of times in this industry we solve complexity with more complexity So first I, I'd like to state the obvious, which are our investments in So you can think private, public, So in addition, we're really, we're, we're on our way to win at the edge as well with And as you become a cloud company, I can't say that enough above the having We continue to build on our first investment alliances with I think it's been critical, critical for the entire, you around the world, but, but you really had to look at, okay, how do we modernize the platform? And I'm really excited for the opportunity to work with our customers to help them expand that ecosystem as Go pats and we'll see you All right, you're watching Exclusive Inside Insights from Dell Technology Summit on the cube,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Jeff BoudreauPERSON

0.99+

DavePERSON

0.99+

JeffPERSON

0.99+

Matt BakerPERSON

0.99+

DanPERSON

0.99+

EquinoxORGANIZATION

0.99+

AugustDATE

0.99+

JanuaryDATE

0.99+

MicrosoftORGANIZATION

0.99+

Dave AntePERSON

0.99+

DellORGANIZATION

0.99+

Red HatORGANIZATION

0.99+

FirstQUANTITY

0.99+

VMwareORGANIZATION

0.99+

Sam BrocoPERSON

0.99+

PTCORGANIZATION

0.99+

secondQUANTITY

0.99+

Dell TechnologiesORGANIZATION

0.99+

three yearsQUANTITY

0.99+

Dell TechnologiesORGANIZATION

0.99+

Infrastructure Solutions GroupORGANIZATION

0.99+

230 countriesQUANTITY

0.99+

more than 60 data centersQUANTITY

0.99+

more than 90%QUANTITY

0.99+

firstQUANTITY

0.99+

bothQUANTITY

0.99+

TansuORGANIZATION

0.98+

LitmusORGANIZATION

0.98+

over three yearsQUANTITY

0.98+

Dell Technology SummitEVENT

0.98+

Dell Tech GroupORGANIZATION

0.98+

ApexORGANIZATION

0.98+

todayDATE

0.97+

both worldsQUANTITY

0.97+

Dell TechORGANIZATION

0.97+

Deep NorthORGANIZATION

0.95+

oneQUANTITY

0.94+

ISGORGANIZATION

0.93+

second key pointQUANTITY

0.93+

Project FrontierORGANIZATION

0.93+

ISORGANIZATION

0.93+

second customerQUANTITY

0.92+

eachQUANTITY

0.9+

next monthDATE

0.89+

first investment alliancesQUANTITY

0.87+

SnowflakeORGANIZATION

0.86+

few weeks agoDATE

0.86+

SalesforceORGANIZATION

0.82+

EdgeORGANIZATION

0.81+

hundreds of thousands of customersQUANTITY

0.75+

Project AlpineORGANIZATION

0.73+

coupleQUANTITY

0.71+

last two yearsDATE

0.7+

PatriotORGANIZATION

0.67+

SuperTITLE

0.66+

super CloudTITLE

0.64+

multicloudORGANIZATION

0.6+

ApexTITLE

0.59+

SupercloudORGANIZATION

0.57+

super cloudTITLE

0.56+

CloudORGANIZATION

0.51+

ExecsCOMMERCIAL_ITEM

0.43+

Dell Technology Summit


 

>>As we said in our analysis of Dell's future, the transformation of Dell into Dell emc and now Dell Technologies has been one of the most remarkable stories in the history of the technology industry. After years of successfully integrated EMC and becoming VMware's number one distribution channel, the metamorphosis of Dell com culminated in the spin out of VMware from Dell and a massive wealth creation milestone pending, of course the Broadcom acquisition of VMware. So where's that leave Dell and what does the future look like for this technology powerhouse? Hello and welcome to the Cube's exclusive coverage of Dell Technology Summit 2022. My name is Dave Ante and I'll be hosting the program today In conjunction with the Dell Tech Summit. We'll hear from four of Dell's senior executives. Tom Sweet is the CFO of Dell Technologies. He's gonna share his views of the company's position and opportunities and answer the question, why is Dell good long term investment? >>Then we'll hear from Jeff Boudreau was the president of Dell's ISG business unit. He's gonna talk about the product angle and specifically how Dell is thinking about solving the multi-cloud challenge. And then Sam Grow Cot is the senior vice president of marketing's gonna come in the program and give us the update on Apex, which is Dell's as a service offering and a new edge platform called Project Frontier. By the way, it's also Cybersecurity Awareness Month, and we're gonna see if Sam has any stories there. And finally, for a company that's nearly 40 years old, Dell has some pretty forward thinking philosophies when it comes to its culture and workforce. And we're gonna speak with Jen Savira, who's Dell's chief Human Resource officer about hybrid work and how Dell is thinking about the future of work. We're gonna geek out all day and talk multi-cloud and edge and latency, but first, let's talk wallet. Tom Sweet cfo, and one of Dell's key business architects. Welcome back to the cube, >>Dave, it's good to see you and good to be back with you. So thanks for having me, Jay. >>Yeah, you bet. Tom. It's been a pretty incredible past 18 months. Not only the pandemic and all that craziness, but the VMware spin, you had to give up your gross margin binky as kidding, and, and of course the macro environment. I'm so sick of talking about the macro, but putting that aside for a moment, what's really remarkable is that for a company at your size, you've had some success at the top line, which I think surprised a lot of people. What are your reflections on the last 18 to 24 months? >>Well, Dave, it's been an incredible, not only last 18 months, but the whole transformation journey. If you think all the way back maybe to the LBO and forward from there, but, you know, stepping into the last 18 months, it's, you know, I, I think I remember talking with you and saying, Hey, you know, this scenario planning we did at the beginning of this pandemic journey was, you know, 30 different scenarios roughly, and none of which sort of panned out the way it actually did, which was a pretty incredible growth story as we think about how we helped customers, you know, drive workforce productivity, enabled their business model during the all remote work environment. That was the pandemic created. And couple that with the, you know, the, the rise then and the infrastructure spin as we got towards the tail end of the, of the pandemic coupled with, you know, the spin out of VMware, which culminated last November, as you know, as we completed that, which unlocked a pathway back to investment grade within unlocked, quite frankly shareholder value, capital allocation frameworks. It's really been a remarkable, you know, 18, 24 months. It's, it's never dull at Dell Technologies. Lemme put it that way. >>Well, well, I was impressed with you, Tom, before the leverage buyout and then what I've seen you guys navigate through is, is, is truly amazing. Well, let's talk about the challenging macro. I mean, I've been through a lot of downturns, but I've never seen anything quite like this with fed tightening and you're combating inflation, you got this recession looming, there's a bear market you got, but you got zero unemployment, you're rising wages, strong dollar, and it's very confusing. But it spending is, you know, it's somewhat softer, but it's still not bad. How are you seeing customers behave? How is Dell responding? >>Yeah, look, if you think about the markets we play in Dave, and we should start there as a grounding, you know, the, the total market, the core market that we think about is roughly 700 and, you know, 50 billion or so. If you think about our core IT services capability, you couple that with some of the, the growth initiatives that we're driving and the adjacent markets that that, that brings in, you're roughly talking a 1.4 to $1.5 trillion market opportunity, total addressable market. And so from from that perspective, we're extraordinarily bullish on where are we in the journey as we continue to grow and expand. You know, we have, we're number one share in just about every category that we plan, but yet when you look at that, you know, number one share in some of these, you know, our highest share position may be, you know, low thirties and maybe in the high end of storage you're at the upper end of thirties or 40%. >>But the opportunity there to continue to expand the core and, and continue to take share and outperform the market is truly extraordinary. So, so you step back and think about that, then you say, okay, what have we seen over the last number of months and quarters? It's been, you know, really great performance through the pandemic as, as you highlighted, we actually had a really strong first half of the year of our fiscal year 23 with revenue up 12% operating income up 12% for the first half. You know, what we talked about as you, if you might recall in our second quarter earnings, was the fact that we were starting to see softness. We had seen it in the consumer PC space, which is not a big area of focus for us in the sense of our, our total revenue stream, but we started to see commercial PC soften and we were starting to see server demand soften a bit and storage demand was, was holding quite frankly. >>And so we gave a a framework around guidance for the rest of the year as a, of what we were seeing. You know, the macro environment as you highlight it continues to be challenging. You know, if you look at inflation rates and the efforts by central banks across the globe to with through interest rate rise to press down and, and constrain growth and push down inflation, you couple that with supply chain challenges that continue principle, particularly in the ISG space. And then you couple that with the Ukraine war and the, and the energy crisis that that's created. And particularly in Europe, it's a pretty dynamic environment. And, but I'm confident, you know, I'm confident in the long term, but I do think that there is, you know, that there's navigation that we're going to have to do over the coming number of quarters, who knows quite how long, you know, to, to make sure the business is properly positioned and, you know, we've got a great portfolio and you're gonna talk to some of the team LA later on as you think your way through some of the solution capabilities we're driving what we're seeing around technology trends. >>So the opportunities there, there's some short term navigation that we're gonna need to do just to make sure that we address some of the, you know, some of the environmental things that we're seeing right >>Now. Yeah. And as a global company, of course you're converting local currencies back to appreciated dollars. That's, that's, that's another headwind. But as you say, I mean, that's math and you're navigating it. And again, I've seen a lot of downturns, but you know, the best companies not only weather the storm, but they invest in ways they that allow them to cut out, come out the other side stronger. So I wanna talk about that longer term opportunity, the relationship between the core, the the business growth. You mentioned the tam, I mean, even as a lower margin business, if, if you can penetrate that big of a tam, you could still throw off a lot of cash and you've got other levers to turn in potentially acquisitions and software. And, but so ultimately what gives you confidence in Dell's future? How should we think about Dell's future? >>Yeah, look, I, I think it comes down to we are extraordinarily excited about the opportunity over the long term digital transformation continues. I I am on numerous customer and CIO calls every week. Customers are continuing to invest in digital transformation and infrastructure to enable their business model. Yes, maybe it's gonna slow or, or pause or maybe they're not gonna invest quite at the same rate over the next number of quarters, but over the long term the needs are there. You look at what we're doing around the, the growth opportunities that we see, not only in our core space where we continue to invest, but also in the, what we call the strategic adjacencies. Things like 5G and modern telecom infrastructure as our, the telecom providers across the globe open up their, what a cl previous been closed ecosystems, you know, to open architecture. You think about, you know, what we're doing around the edge and the distribution now that we're seeing of compute and storage back to the edge given data gravity and latency matters. >>And so we're pretty bullish on the opportunity in front of us, you know, yes, we will and we're continuing to invest and you know, Jeff Boudreau talk about that I think later on in the program. So I'm excited about the opportunities and you look at our cash flow generation capability, you know, we are in, in, in normal times a, a cash flow generation machine and we'll continue to do so, You know, we've got a negative, you know, CCC in terms of, you know, how do we think about efficiency of working capital? And we look at our, you know, our capital allocation strategy, which has now returned, you know, somewhere in near 60% of our free cash flow back to shareholders. And so, you know, there's lots to, lots of reasons to think about why this, you know, we are a great sort of, I think value creation opportunity and a over the long term that the long term trends are with us, and I expect them to continue to be so, >>Yeah, and you guys, you, you, you do what you say you're gonna do. I mean, I said in my, in my other piece that I did recently, I think you guys put 46 billion on the, on the, on the balance sheet in terms of debt. That's down to I think 16 billion in the core, which that's quite remarking and that gives you some other opportunities. Give us your, your closing thoughts. I mean, you kind of just addressed why Dell is a good long term play, but I'll give you an opportunity to bring us home. >>Hey, Dave. Yeah, look, I, I just think if you look at the good, the market opportunity, the size and scale of Dell and how we think about the competitive advantages that we have, we com you know, if you look at, say we're a hundred billion revenue company, which we were a year, you know, last year, that as we reported roughly 60, 65 billion of that in the client, in in PC space, roughly, you know, 35 to 40 billion in the ISG or infrastructure space, those markets are gonna continue the opportunity to grow, share, grow at a premium to the market, drive, cash flow, drive, share gain is clearly there. You couple that with, you know, what we think the opportunity is in these adjacent markets, whether it's telecom, the edge, what we're thinking around data services, data management, you know, we, and you cut, you put that together with the long term trends around, you know, data creation and digital transformation. We are extraordinarily well positioned. We have the largest direct selling organization in in the technology space. We have the largest supply chain, our services footprint, you know, well positioned in my mind to take advantage of the opportunities as we move forward. >>Well Tom, really appreciate you taking the time to speak with us. Good to see you again. >>Nice seeing you. Thanks Dave. >>All right. You're watching the Cubes exclusive behind the scenes coverage of Dell Technology Summit 2022. In a moment, I'll be back with Jeff Boudreau. He's the president of Dell's ISG Infrastructure Solutions Group. He's responsible for all the important enterprise business at Dell, and we're excited to get his thoughts, keep it right there. >>Welcome back to the cube's exclusive coverage of the Dell Technology Summit. I'm Dave Ante and we're going inside with Dell execs to extract the signal from the noise. And right now we're gonna dig into customer requirements in a data intensive world and how cross cloud complexities get resolved from a product development perspective and how the ecosystem fits in to that mosaic to close the gaps and accelerate innovation. And with me now as friend of the cube, Jeff Boudreau, he's the president of the Infrastructure Solutions Group, ISG at Dell Technologies. Jeff, always good to see you. Welcome. >>You too. Thank you for having me. It's great to see you and thanks for having me back on the cube. I'm thrilled to be here. >>Yeah, it's our pleasure. Okay, so let's talk about what you're observing from customers today. You know, we talk all the time about operating in a data driven multi-cloud world, blah, blah, blah, blah. But what does that all mean to you when you have to translate that noise into products that solve specific customer problems, Jeff? >>Sure. Hey, great question. And everything always starts with our customers. There are motivation, they're top of mind, everything we do, my leadership team and I spend a lot of time with our customers. We're listening, we're learning, we're really understanding their pain points, and we wanna get their feedback in regards to our solutions, both turn and future offerings, really ensure that we're aligned to meeting their business objectives. I would say from these conversations, I'd say customers are telling us several things. First, it's all about data for no surprise going back to your opening. And second, it's about the multi-cloud world. And I'd say the big thing coming from all of this is that both of those are driving a ton of complexity for our customers. And I'll unpack that just a bit, which is first the data. As we all know, data is growing at unprecedented rates with more than 90% of the world's data being produced in the last two years alone. >>And you can just think of that in it's everywhere, right? And so as it as the IT world shifts towards distributed compute to support that data growth and that data gravity to really extract more value from that data in real time environments become inherently more and more hybrid and more and more multi-cloud. Which leads me to the second key point that I've been hearing from our customers, which it's a multi-cloud world, not new news. Customers by default have multiple clouds running across multiple locations that's on-prem and off-prem, it's running at the edge and it's serving a variety of different needs. Unfortunately, for most of our CU customers, multi-cloud is actually added to their complexity. As we've discussed. It's been a lot more of multi-cloud by default versus multi-cloud by design. And if you really think about our customers, I mean, I, I, I've talking to 'EM all the time, you think about the data complexity, that's the growth and the gravity. >>You think about their infrastructure complexity shifting from central to decentralized it, you think about multi-cloud complexity. So you have these walled gardens, if you will. So you have multiple vendors and you have these multiple contracts that all creates operational complexity for their teams around their processes of their tools. And then you think about security complexity that that dries with the, just the increased tax service and the list goes on. So what are we seeing for our customers? They, what they really want from us, and what they're asking us for is simplicity, not complexity. The immediacy, not latency. They're asking for open and aligned versus I'd say siloed and closed. And they're looking for a lot more agility and not rigidity in what we do. So they really wanna simplify everything. They're looking for a simpler IT and a more agile it. And they want more control of their data, right? >>And so, and they want to extract more of the value to enrich their business or their customer engagements, which all sounds pretty obvious and we've probably all heard it a bunch, but it's really hard to achieve. And that's where I believe, and we believe as Dell that we, it creates a big opportunity for us to really help our customers as that great simplifier of it. We're already doing this today on just a couple quick examples. First is Salesforce. We've supported recently, we've supported their global expansion with a multi-cloud solution to help them drive their business growth. Our solution delivered a reliable and consistent IT experience. We go back to that complexity and it was across a very distributed environment, including more than 60 data centers, 230 countries and hundreds of thousands of customers. It really provided Salesforce with the flexibility of placing workloads and data in an environment based on the right service level. >>Objective things like cost complexity or even security compliance considerations. The second customer A is a big New England Patriot fan. And Dan, Dave, I know you are as well. Oh yeah, this one's near, near data to my heart, it's the craft group. We just created a platform to span all the businesses that create more, I'd say data driven, immersive, secure experience, which is allowing them to capture data at the edge and use it for real time insights for things like cyber resiliency, but also like safety of the facilities. And as being a PA fan like I am, did they truly are meeting us where we are in our seats on their mobile devices and also in the parking lot. So just keep that in mind next time you're there. The bottom line, everything we're doing is really to make it simpler for our customers and to help them get the most of their data. I'd say we're gonna do this, is it through a multi-cloud by design approach, which we talked a lot about with you and and others at Dell Tech world earlier this year, >>Right? And we had Salesforce on, actually at Dell Tech group. The craft group is interesting because, you know, when you get to the stadium, you know, everybody's trying to get, get, get out to the internet and, and, but then the experience is so much better if you can actually, you know, deal with that edge. So I wanna talk about complexity though. You got data, you got, you know, the, the edge, you got multiple clouds, you got a different operating model across security model, different. So a lot of times in this industry we solve complexity with more complexity and it's like a bandaid. So I wanna, I wanna talk to, to how you're innovating around simplicity in ISG to address this complexity and what this means for Dell's long term strategy. >>Sure, I'd love to. So first I, I'd like to state the obvious, which are our investments in our innovations really focused on advancing, you know, our, our our customers needs, right? So we are really, our investments are gonna be targeted. We, we believe customers can have the most value. And some of that's gonna be around how we create strategic partnerships as well connected to what we just spoke about. Much of the complexity of customers have or experiencing is in the orchestration and management of all the data in all these different places and customers, you know, they must be able to quickly deploy and operate across cloud environments. They need to increase their developer productivity, really enabling those developers that do what they do best, which is creating more value for their customers than for their businesses. Our innovation efforts are really focused on addressing this by delivering an open and modern IT architecture that allows customers to run and manage any workload in any cloud anywhere. >>Data lives we're focused on, also focused on consumption based solutions, which allow for a greater degree of simplicity and flexibility, which they're really asking for as well. The foundation for this is our software to define common storage layer, that common storage layer. You can think about this Dave, as our ias if you will. It underpins our data access in mobility across all data types and locations. So you can think private, public, telecom, colo, edge, and it's delivered in a secure, holistic, and consistent cloud experience through Apex. We are making a ton of progress to let you just to be, just to be clear, we've made headway in things like Project Alpine, which you're very well aware of. This is our storage as a service. We announce this back in in January, which brings our unique software IP from our flagship storage platform to all the major public clouds. >>Really delivering the best of both worlds, allowing our customers to take advantage of Dell's enterprise class data services and storage software, such as performance at scale, resiliency, efficiency and security. But in addition to that, we're leveraging the breadth of the public cloud services, right? They're on demand scaling capabilities and access to analytical services. So in addition, we're really, we're, we're on our way to win at the edge as well with Project Frontier, which reduces complexity at the edge by creating an open and secure software platform to help our customers simplify their edge operations, optimize their edge environments and investments, secure that edge environment as well. I believe you're gonna be discussing Project Frontier here with Sam Gro Crop, the very near future. So I won't give up too many more details there. And lastly, we're also scaling Apex, which, oh, well, shifting from our vision, really shifting from vision to reality and introducing several new Apex service offerings, which are coming to market over the next month or so. And the intent is really supporting our customers on their as a service transitions by modernize the consumption experience and providing that flexible as a service model. Ultimately, we're trying to help our customers achieve that multi-cloud by design to really simplify it and unlock the power of their data. >>So some good examples there. I I like to talk about the super Cloud as you, you know, you're building on top of the, you know, hyperscale infrastructure and you got Apex is your cloud, the common storage layer, you call it your is. And that's, that's a ingredient in what we call the super cloud out to the edge. You have to have a common platform there and one of the hallmarks of a cloud company. And as you become a cloud company, everybody's a cloud company ecosystem becomes really, really important in terms of product development and, and innovation. Matt Baker always loves to stress it's not a zero zero sum game. And, and I think Super Cloud recognizes that, that there's value to be built on top of other clouds and, and, and of course on top of your infrastructure so that your ecosystem can add value. So what role does the ecosystem play there? >>For me, it's, it's pretty clear. It's, it's, it's critical. I can't say that enough above the having an open ecosystem. Think about everything we just discussed, and I agree with your super cloud analogy. I agree with what Matt Baker had said to you, I would certain no one company can actually address all the pain points and all the issues and challenges our customers are having on their own, not one. I think customers really want and deserve an open technology ecosystem, one that works together. So not these close stacks that discourages interoperability or stifles innovation and productivity of our, of each of our teams. We del I guess have a long history of supporting open ecosystems that really put customers first. And to be clear, we're gonna be at the center of the multi-cloud ecosystem and we're working with partners today to make that a reality. >>I mean, just think of what we're doing with VMware. We continue to build on our first and best alliances with them in August at their VMware explorer, which I know you were at, we announced several joint engineering initiatives to really help customers more easily manage and gain value from their data and their infrastructure. For multi-cloud specifically, we strength our relationship with VMware and with Tansu as part of that. In addition, just a few weeks ago we announced our partnership with Red Hat to simplify our multi-cloud deployments for managing containerized workloads. I'd say, and using your analogy, I could think of that as our multicloud platform. So that's kind of our PAs layer, if you will. And as you're aware, we have a very long standing and strategic partnership with Microsoft and I'd say stay tuned. There's a lot more to come with them and also others in this multicloud space. >>Shifting a bit to some of the growth engines that my team's responsible for the edge, right? As you think about data being everywhere, we've established partnerships for the Edge as well with folks like PTC and Litmus for the manufacturing edge, but also folks like Deep North for the retail edge analytics and data management. Using your Supercloud analogy, Dave the sa, right? This is our Sasa, we've announced that we're collaborating, partnering with folks like Snowflake and, and there's other data management companies as well to really simplify data access and accelerate those data insights. And then given customers choice of where they'd like to have their IT and their infrastructure, we've we're expanding our colo partnerships as well with folks like eex and, and they're allowing us to broaden our availability of Apex, providing customers the flexibility to take advantage of those as a service offerings wherever it's delivered and where they can get the most value. So those are just some you can hear from me. I think it's critical not only for, for us, I think it's critical for our customers. I think it's been critical, critical for the entire, you know, industry as a whole to really have that open technology ecosystem as we work with our customers on our multi-cloud solutions really to meet their needs. We'll continue to collaborate with whoever customers choose and you know, and who they want us to do business with. So I'd say a lot more coming in that space. >>So it's been an interesting three years for you, just, just over three years now since you've been made the president of the IS isg. And so you had to dig in and, and it was obviously a strange time around the world, but, but you really had to look at, okay, how do we modernize the platform? How do we make it, you know, cloud first, You've mentioned the edge, we're expanding. So what are the big takeaways? What do you want customers and our audience to understand? Just some closing thoughts and if you could summarize. >>Sure. So I'd say first, you know, we discussed we're working in a very fast paced, ever-changing market with massive amounts of data that needs to be managed. It's very complex and our customers need help with that complexity. I believe that Dell Technologies is uniquely positioned to help as their multicloud champion. No one else can solve the breadth and depth of the challenges like we can. And we're gonna help our customers move forward when they basically moving from a multi-cloud by default, as we've discussed before, to multicloud by design. And I'm really excited for the opportunity to work with our customers to help them expand that ecosystem as they truly realize the future of it and, and what they're trying to accomplish. >>Jeff, thanks so much. Really appreciate your time. Always a pleasure. Go pats and we'll see you on the blog. >>Thanks Dave. >>All right, you're watching exclusive insight insights from Dell Technology Summit on the cube, your leader in enterprise and emerging tech coverage. >>Hello everyone, this is Dave Lanta and you're watching the Cubes coverage of the Dell Technology Summit 2022 with exclusive behind the scenes interviews featuring Dell executive perspectives. And right now we're gonna explore Apex, which is Dell's as a service offering Dell's multi-cloud and edge strategies and the momentum around those. And we have news around Project Frontier, which is Dell's vision for its edge platform. And there's so much happening here. And don't forget it's cyber security Awareness month. Sam Grot is here, he's the senior vice president of marketing at Dell Technologies. Sam, always great to see you. How you doing? >>Always great to be here, Dave. >>All right, let's look at cloud. Everybody's talking about cloud Apex, multi-cloud, what's the update? How's it going? Where's the innovation and focal points of the strategy? >>Yeah, yeah. Look Dave, if you think back over the course of this year, you've really heard, heard us pivot as a company and discussing more and more about how multi-cloud is becoming a reality for our customers today. And when we listen and talk with our customers, they really describe multi-cloud challenges and a few key threads. One, the complexity is growing very, very quickly. Two, they're having a harder time controlling how their users are accessing the various different clouds. And then of course, finally the cloud costs are growing unchecked as well. So we, we like to describe this phenomenon as multi-cloud by design. We're essentially, organizations are waking up and seeing cloud sprawl around their organization every day. And this is creating more and more of those challenges. So of course at Dell we've got a strong point of view that you don't need to build multicloud by by default, rather it's multicloud by design where you're very intentional in how you do multicloud. >>And how we deliver multicloud by design is through apex. Apex is our modern cloud and our modern consumption experience. So when you think about the innovation as well, Dave, like we've been on a pretty quick track record here in that, you know, the beginning of this year we introduced brand new Apex backup services that provides that SAS based backup service. We've introduced or announced project outline, which is bringing our storage software, intellectual property from on-prem and putting it and running it natively in the public cloud. We've also introduced new Apex cyber recovery services that is simplifying how customers protect against cyber attacks. They can run an Amazon Azure, aw, I'm sorry, Amazon, aws, Azure or Google. And then, you know, we are really focused on this multi-cloud ecosystem. We announce key partnerships with SaaS providers such as Snowflake, where you can now access our information or our data from on-prem through the Snow Snowflake cloud. >>Or if needed, we can actually move the data to the Snowflake cloud if required. So we're continuing to build out that ecosystem SaaS providers. And then finally I would say, you know, we made a big strategic announcement just recently with Red Hat, where we're not only delivering new Apex container services, but we announce the strategic partnership to build jointly engineered solutions to address hybrid and multi-cloud solutions going forward. You know, VMware is gonna always continue to be a key partner of ours at the la at the recent VMware explorer we announced new Tansu integration. So, So Dave, I, I think in a nutshell we've been innovating at a very, very fast pace. We think there is a better way to do multi-cloud and that's multi-cloud by design. >>Yeah, we heard that at Dell Technologies world. First time I had heard that multi-cloud by design versus sort of default, which is great Alpine, which is sort of our, what we called super cloud in the making. And then of course the ecosystem is critical for any cloud company. VMware of course, you know, top partner, but the Snowflake announcement was very interesting Red Hat. So seeing that expand, now let's go out to the edge. How's it going with the edge expansion? There's gotta be new speaking of ecosystem, the edge is like a whole different, you know, OT type, that's right, ecosystem, that's telcos what and what's this new frontier platform all about? >>Yeah, yeah. So we've talked a lot about cloud and multi clouds, we've talked about private and hybrid cloud, we've talked about public clouds, clouds and cos, telcos, et cetera. There's really been one key piece of our multi-cloud and technology strategy that we haven't spent a lot of time on. And that's the edge. And we do see that as that next frontier for our customers to really gain that competitive advantage that is created from their data and get closer to the point of creation where the data lives. And that's at the edge. We see the edge infrastructure space growing very, very quickly. We see upwards of 300% year of year growth in terms of amount of data being created at the edge. That's almost 3000 exabytes of data by 2026. So just incredible growth. And the edge is not really new for Dell. We've been at it for over 20 years of delivering edge solutions. >>81% of the Fortune 100 companies in the US use Dell solutions today at the Edge. And we are the number one OEM provider of Edge solutions with over 44,000 customers across over 40 industries and things like manufacturing, retail, edge healthcare, and more. So Dave, while we've been at it for a long time, we have such a, a deep understanding of how our customers are using Edge solutions. Say the bottom line is the game has gotta change. With that growth that we talked about, the new use cases that are emerging, we've got to un unlock this new frontier for customers to take advantage of the edge. And that's why we are announcing and revealing Project Frontier. And Project Frontier in its most simplest form, is a software platform that's gonna help customers and organizations really radically simplify their edge deployments by automating their edge operations. You know, with Project Frontier organizations are really gonna be able to manage, OP, and operate their edge infrastructure and applications securely, efficiently and at scale. >>Okay, so it is, first of all, I like the name, it is software, it's a software architecture. So presumably a lot of API capabilities. That's right. Integration's. Is there hardware involved? >>Yeah, so of course you'll run it on Dell infrastructure. We'll be able to do both infrastructure orchestration, orchestration through the platform, but as well as application orchestration. And you know, really there's, there's a handful of key drivers that have been really pushing our customers to take on and look at building a better way to do the edge with Project Frontier. And I think I would just highlight a handful of 'em, you know, freedom of choice. We definitely see this as an open ecosystem out there, even more so at the Edge than any other part of the IT stack. You know, being able to provide that freedom of choice for software applications or I O T frameworks, operational technology or OT for any of their edge use cases, that's really, really important. Another key area that we're helping to solve with Project Frontier is, you know, being able to expect zero trust security across all their edge applications from design to deployment, you know, and of course backed by an end and secure supply chain is really, really important to customers. >>And then getting that greater efficiency and reliability of operations with the centralized management through Project Frontier and Zero Touch deployments. You know, one of the biggest challenges, especially when you get out to the far, far reach of the frontier is really IT resources and being able to have the IT expertise and we built in an enormous amount of automation helps streamline the edge deployments where you might be deploying a single edge solution, which is highly unlikely or hundreds or thousands, which is becoming more and more likely. So Dave, we do think Project Frontier is the right edge platform for customers to build their edge applications on now and certain, excuse me, certainly, and into the future. >>Yeah. Sam, no truck rolls. I like it. And you, you mentioned, you mentioned Zero trust. So we have Mother's Day, we have Father's Day. The kids always ask When's kids' day? And we of course we say every day is kids' day and every day should be cybersecurity awareness day. So, but we have cybersecurity awareness month. What does it mean for Dell? What are you hearing from customers and, and how are you responding? >>Yeah, yeah. No, there isn't a more prevalent pop of mind conversation, whether it's the boardroom or the IT departments or every company is really have been forced to reckon with the cybersecurity and ransom secure issues out there. You know, every decision in IT department makes impacts your security profile. Those decisions can certainly, positively, hopefully impact it, but also can negatively impact it as well. So data security is, is really not a new area of focus for Dell. It's been an area that we've been focused on for a long time, but there are really three core elements to cyber security and data security as we go forward. The first is really setting the foundation of trust is really, really important across any IT system. And having the right supply chain and the right partner to partner with to deliver that is kind of the foundation in step one. >>Second, you need to of course go with technology that is trustworthy. It doesn't mean you are putting it together correctly. It means that you're essentially assembling the right piece parts together. That, that coexist together in the right way. You know, to truly change that landscape of the attackers out there that are gonna potentially create risk for your environment. We are definitely pushing and helping to embrace the zero trust principles and architectures that are out there. So finally, while when you think about security, it certainly is not absolute all correct. Security architectures assume that, you know, there are going to be challenges, there are going to be pain points, but you've gotta be able to plan for recovery. And I think that's the holistic approach that we're taking with Dell. >>Well, and I think too, it's obviously security is a complicated situation now with cloud you've got, you know, shared responsibility models, you've got that a multi-cloud, you've got that across clouds, you're asking developers to do more. So I think the, the key takeaway is as a security pro, I'm looking for my technology partner through their r and d and their, you mentioned supply chain processes to take that off my plate so I can go plug holes elsewhere. Okay, Sam, put a bow on Dell Technology Summit for us and give us your closing thoughts. >>Yeah, look, I I think we're at a transformative point in it. You know, customers are moving more and more quickly to multi-cloud environments. They're looking to consume it in different ways, such as as a service, a lot of customers edge is new and an untapped opportunity for them to get closer to their customers and to their data. And of course there's more and more cyber threats out there every day. You know, our customers when we talk with them, they really want simple, consistent infrastructure options that are built on an open ecosystem that allows them to accomplish their goals quickly and successfully. And look, I think at Dell we've got the right strategy, we've got the right portfolio, we are the trusted partner of choice, help them lead, lead their, their future transformations into the future. So Dave, look, I think it's, it's absolutely one of the most exciting times in it and I can't wait to see where it goes from here. >>Sam, always fun catching up with you. Appreciate your time. >>Thanks Dave. >>All right. A Dell tech world in Vegas this past year, one of the most interesting conversations I personally had was around hybrid work and the future of work and the protocols associated with that and the mindset of, you know, the younger generation. And that conversation was with Jen Savira and we're gonna speak to Jen about this and other people and culture topics. Keep it right there. You're watching the cube's exclusive coverage of Dell Technology Summit 2022. Okay, we're back with Jen Vera, who's the chief human resource officer of Dell, and we're gonna discuss people, culture and hybrid work and leadership in the post isolation economy. Jen, the conversations that we had at Dell Tech World this past May around the new work environment were some of the most interesting and engaging that I had personally. So I'm really eager to, to get the update. It's great to see you again. Thanks for coming on the cube. >>Thanks for having me Dave. There's been a lot of change in just a short amount of time, so I'm excited to, to share some of our learnings >>With you. I, I mean, I bet there has, I mean, post pandemic companies, they're trying, everybody's trying to figure out the return to work and, and what it looks like. You know, last May there was really a theme of flexibility, but depending, we talked about, well, millennial or not young old, and it's just really was mixed, but, so how have you approached the topic? What, what are your policies? What's changed since we last talked? You know, what's working, you know, what's still being worked? What would you recommend to other companies to over to you? >>Yeah, well, you know, this isn't a topic that's necessarily new to Dell technology. So we've been doing hybrid before. Hybrid was a thing. So for over a decade we've been doing what we called connected workplace. So we have kind of a, a history and we have some great learnings from that. Although things did change for the entire world. You know, March of 2020, we went from kind of this hybrid to everybody being remote for a while. But what we wanted to do is, we're such a data driven company, there's so many headlines out there, you know, about all these things that people think could happen will happen, but there wasn't a lot of data behind it. So we took a step back and we asked our team members, How do you think we're doing? And we asked very kind of strong language because we've been doing this for a while. >>We asked them, Do you think we're leading in the world of hybrid in 86% of our team members said that we were, which is great, but we always know there's nuance right behind that macro level. So we, we asked 'em a lot of different questions and we just went on this kind of myth busting journey and we decided to test some of those things. We're hearing about Culture Willow Road or new team members will have trouble being connected or millennials will be different. And we really just collected a lot of data, asked our team members what their experience is. And what we have found is really, you don't have to be together in the office all the time to have a strong culture, a sense of connection, to be productive and to have it really healthy business. >>Well, I like that you were data driven around it in the data business here. So, but, but there is a lot of debate around your culture and how it suffers in a hybrid environment, how remote workers won't get, you know, promoted. And so I'm curious, you know, and I've, and I've seen some like-minded companies like Dell say, Hey, we, we want you guys to work the way you wanna work. But then they've, I've seen them adjust and say, Well yeah, but we also want you to know in the office be so we can collaborate a little bit more. So what are you seeing at Dell and, and, and how do you maintain that cultural advantage that you're alluding to in this kind of strange, new ever changing world? >>Yeah, well I think, look, one approach doesn't fit all. So I don't think that the approach that works for Dell Technologies isn't necessarily the approach that works for every company. It works with our strategy and culture. It is really important that we listen to our team members and that we support them through this journey. You know, they tell us time and time again, one of the most special things about our culture is that we provide flexibility and choice. So we're not a mandate culture. We really want to make sure that our team members know that we want them to be their best and do their best. And not every individual role has the same requirements. Not every individual person has the same needs. And so we really wanna meet them where they are so that they can be productive. They feel connected to the team and to the company and engaged and inspired. >>So, you know, for, for us, it really does make sense to go forward with this. And so we haven't, we haven't taken a step back. We've been doing hybrid, we'll continue to do hybrid, but just like if you, you know, we talk about not being a mandate. I think the companies that say nobody will come in or you have to come in three days a week, all of that feels more limiting. And so what we really say is, work out with your team, work out with your role, workout with your leader, what really makes the most sense to drive things forward. >>I >>You were, so >>That's what we, you were talking before about myths and you know, I wanna talk about team member performance cuz there's a lot of people believe that if, if you're not in the office, you have disadvantages, people in the office have the advantage cuz they get FaceTime. Is is that a myth? You know, is there some truth to that? What, what do you think about that? >>Well, for us, you know, we look, again, we just looked at the data. So we said we don't wanna create a have and have not culture that you're talking about. We really wanna have an inclusive culture. We wanna be outcome driven, we're meritocracy. But we went and we looked at the data. So pre pandemic, we looked at things like performance, we looked at rewards and recognition, we looked at attrition rates, we looked at sentiment, Do you feel like your leader is inspiring? And we found no meaningful differences in any of that or in engagement between those who worked fully remote, fully in the office or some combination between. So our data would bust that myth and say, it doesn't, you don't have to be in an office and be seen to get ahead. We have equitable opportunity. Now, having said that, you always have to be watching that data. And that's something that we'll continue to do and make sure that we are creating equal opportunity regardless of where you work. >>And it's personal too, I think, I think some people can be really productive at home. I happen to be one that I'm way more productive in the office cause the dogs aren't barking. I have less distractions. And so I think we think, and, and I think the takeaway that in just in talking to, to, to you Jen and, and folks at Dell is, you know, whatever works for you, we're we're gonna, we're gonna support. So I I wanted to switch gears a little bit, talk about leadership and, and very specifically empathic leadership has been said to be, have a big impact on attracting talent, retaining talent, but, but it's hard to have empathy sometimes. And I know I saw some stats in a recent Dell study. It was like two thirds the people felt like their organization underestimates the people requirements. And I, I ask myself, I'm like, what am I missing? I hope, you know, with our folks, so especially as it relates to, to transformation programs. So how can human resource practitioners support business leaders generally, specifically as it relates to leading with empathy? >>I think empathy's always been important. You have to develop trust. You can have the best strategy in the world, right? But if you don't feel like your leader understands who you are, appreciates the the value that you bring to the company, then you're not gonna get very far. So I think empathetic leadership has always been part of the foundation of a trusting, strong relationship between a leader and a team member. But if I think we look back on the last two years, and I imagine it'll be even more so as we go forward, empathetic leadership will be even more important. There's so much going on in the world, politically, socially, economically, that taking that time to say you want your team members to see you as credible, that you and confident that you can take us forward, but also that, you know, and understand me as a human being. >>And that to me is really what it's about. And I think with regard to transformation that you brought up, I think one of the things we forget about is leaders. We've probably been thinking about a decision or transformation for months or weeks and we're ready to go execute, we're ready to go operationalize that thing. And so sometimes when we get to that point, because we've been talking about it for so long, we send out the email, we have the all hands and we just say we're ready to go. But our team members haven't always been on that journey for those months that we have. And so I think that empathetic moment to say, Okay, not everybody is on a change curve where I am. Let's take a pause, let me put myself in their shoes and really think about how we bring everybody along. >>You know, Jen, in the spirit of myth busting, I mean I'm one of those people who felt like that a business is gonna have a hard time, harder time fostering this culture of collaboration and innovation post isolation economy as they, they could pre covid. But you know, I noticed there's a, there's an announcement today that came across my desk, I think it's from Newsweek. Yes. And, and it's the list of top hundred companies recognized for employee motivation satisfaction. And it was really interesting because you, you always see, oh, we're the top 10 or the top hundred, But this says as a survey of 1.4 million employees from companies ranging from 50 to 10,000 employees. And it recognizes the companies that put respect, caring, and appreciation for their employees at the center of their business model. And they doing so have earned the loyalty and respect of the people who work for them. >>Number one on the list is Dell sap. So congratulations SAP was number two. I mean, there really isn't any other tech company on there, certainly no large tech companies on there. So I always see these lists, they go, Yeah, okay, that's cool, top a hundred, whatever. But top one in, in, in an industry where there's only two in the top is, is pretty impressive. And how does that relate to fostering my earlier skepticism of a culture of collaboration? So first of all, congratulations, you know, how'd you do it? And how are you succeeding in, in this new world? >>Well thanks. It does feel great to be number one, but you know, it doesn't happen by accident. And I think while most companies have a, a culture and a spouse values, we have ours called the culture code. But it's really been very important to us that it's not just a poster on the wall or or words on paper. And so we embed our culture code into all of our HR practices, that whole ecosystem from recognition of rewards to performance evaluation, to interviewing, to development. We build it into everything. So it really reflects who we are and you experience it every day. And then to make sure that we're not, you know, fooling ourselves, we ask all of our employees, do you feel like the behaviors you see and the experience you have every day reflects the culture code? And 94% of our team members say that, in fact it does. So I think that that's really been kind of the secret to our success. If you, if you listen to Michael Dell, he'll always say, you know, the most special thing about Dell is our culture and our people. And that comes through being very thoughtful and deliberate to preserve and protect and continue to focus on our culture. >>Don't you think too that repetition and, well first of all, belief in that cultural philosophy is, is important. And then kind of repeating, like you said, Yeah, it's not just a poster in the wall, but I remember like, you know, when we're kids, your parents tell you, okay, power positive thinking, do one to others as others, you know, you have others do it to you. Don't make the say you're gonna do some dumb things but don't do the same dumb things twice and you sort of fluff it up. But then as you mature you say, Wow, actually those were, >>They might have had a >>Were instilled in me and now I'm bringing them forward and, you know, paying it forward. But, but so i, it, it, my, I guess my, my point is, and it's kind of a point observation, but I'll turn it into a question, is isn't isn't consistency and belief in your values really, really important? >>I couldn't agree with you more, right? I think that's one of those things that we talk about it all the time and as an HR professional, you know, it's not the HR people just talking about our culture, it's our business leaders, it's our ceo, it's our COOs ev, it's our partners. We share our culture code with our partners and our vendors and our suppliers and, and everybody, this is important. We say when you interact with anybody at Dell Technologies, you should expect that this is the experience that you're gonna get. And so it is something that we talk about that we embed in, into everything that we do. And I think it's, it's really important that you don't just think it's a one and done cuz that's not how things really, really work >>Well. And it's a culture of respect, you know, high performance, high expectations, accountability at having followed the company and worked with the company for many, many years. You always respect the dignity of your partners and your people. So really appreciate your time Jen. Again, congratulations on being number one. >>Thank you so much. >>You're very welcome. Okay. You've been watching a special presentation of the cube inside Dell Technology Summit 2022. Remember, these episodes are all available on demand@thecube.net and you can check out s silicon angle.com for all the news and analysis. And don't forget to check out wikibon.com each week for a new episode of breaking analysis. This is Dave Valante, thanks for watching and we'll see you next time.

Published Date : Oct 11 2022

SUMMARY :

My name is Dave Ante and I'll be hosting the program today In conjunction with the And we're gonna speak with Jen Savira, Dave, it's good to see you and good to be back with you. all that craziness, but the VMware spin, you had to give up your gross margin binky as the spin out of VMware, which culminated last November, as you know, But it spending is, you know, it's somewhat softer, but it's still not bad. category that we plan, but yet when you look at that, you know, number one share in some of these, So, so you step back and think about that, then you say, okay, what have we seen over the last number of months You know, the macro environment as you highlight it continues to be challenging. And again, I've seen a lot of downturns, but you know, the best companies not only weather the storm, You think about, you know, And so, you know, in my other piece that I did recently, I think you guys put 46 billion the edge, what we're thinking around data services, data management, you know, Good to see you again. Nice seeing you. He's responsible for all the important enterprise business at Dell, and we're excited to get his thoughts, how the ecosystem fits in to that mosaic to close the gaps and accelerate It's great to see you and thanks for having me back on the cube. But what does that all mean to you when you have to translate And I'd say the big thing coming from all of this is that both of those are driving And if you really think about our customers, I mean, I, I, I've talking to 'EM all the time, you think about the data complexity, And then you think about security complexity that that dries And that's where I believe, and we believe as Dell that we, it creates a big opportunity for us to really help And Dan, Dave, I know you are as well. you know, when you get to the stadium, you know, everybody's trying to get, get, get out to the internet all the data in all these different places and customers, you know, to let you just to be, just to be clear, we've made headway in things like Project Alpine, And the intent is really supporting And as you become And to be clear, So that's kind of our PAs layer, if you will. We'll continue to collaborate with whoever customers choose and you know, How do we make it, you know, cloud first, You've mentioned the edge, we're expanding. the opportunity to work with our customers to help them expand that ecosystem as they truly realize the Go pats and we'll see you All right, you're watching exclusive insight insights from Dell Technology Summit on the cube, And right now we're gonna explore Apex, which is Dell's as a service offering Where's the innovation and focal points of the strategy? So of course at Dell we've got a strong point of view that you don't need to build multicloud So when you think about you know, we made a big strategic announcement just recently with Red Hat, There's gotta be new speaking of ecosystem, the edge is like a whole different, you know, And that's the edge. And we are the number one OEM provider of Edge solutions with over 44,000 Okay, so it is, first of all, I like the name, it is software, And I think I would just highlight a handful of 'em, you know, freedom of choice. the edge deployments where you might be deploying a single edge solution, and, and how are you responding? And having the right supply chain and the right partner you know, there are going to be challenges, there are going to be pain points, but you've gotta be able to plan got, you know, shared responsibility models, you've got that a multi-cloud, you've got that across clouds, And look, I think at Dell we've got the right Sam, always fun catching up with you. with that and the mindset of, you know, the younger generation. There's been a lot of change in just a short amount of time, You know, what's working, you know, what's still being worked? So we took a step back and we asked our team members, How do you think we're doing? And what we have found is really, you don't have to be together in the office we want you guys to work the way you wanna work. And so we really wanna you know, we talk about not being a mandate. That's what we, you were talking before about myths and you know, I wanna talk about team member performance cuz Well, for us, you know, we look, again, we just looked at the data. I hope, you know, with our folks, socially, economically, that taking that time to say you want your team members And I think with regard to transformation that you But you know, So first of all, congratulations, you know, how'd you do it? And then to make sure that we're not, you know, fooling ourselves, it's not just a poster in the wall, but I remember like, you know, when we're kids, your parents tell you, Were instilled in me and now I'm bringing them forward and, you know, paying it forward. the time and as an HR professional, you know, it's not the HR people just talking the dignity of your partners and your people. And don't forget to check out wikibon.com each

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Jeff BoudreauPERSON

0.99+

Dave ValantePERSON

0.99+

DavePERSON

0.99+

Dave LantaPERSON

0.99+

JeffPERSON

0.99+

Jen SaviraPERSON

0.99+

TomPERSON

0.99+

Tom SweetPERSON

0.99+

DanPERSON

0.99+

SamPERSON

0.99+

Michael DellPERSON

0.99+

AmazonORGANIZATION

0.99+

Matt BakerPERSON

0.99+

Sam GrotPERSON

0.99+

35QUANTITY

0.99+

Jen VeraPERSON

0.99+

March of 2020DATE

0.99+

MicrosoftORGANIZATION

0.99+

JayPERSON

0.99+

VMwareORGANIZATION

0.99+

JenPERSON

0.99+

16 billionQUANTITY

0.99+

AugustDATE

0.99+

40%QUANTITY

0.99+

Dave AntePERSON

0.99+

VegasLOCATION

0.99+

DellORGANIZATION

0.99+

46 billionQUANTITY

0.99+

JanuaryDATE

0.99+

GoogleORGANIZATION

0.99+

86%QUANTITY

0.99+

2026DATE

0.99+

50 billionQUANTITY

0.99+

Red HatORGANIZATION

0.99+

ISG Infrastructure Solutions GroupORGANIZATION

0.99+

USLOCATION

0.99+

three yearsQUANTITY

0.99+

demand@thecube.netOTHER

0.99+

Sam Grow CotPERSON

0.99+

50QUANTITY

0.99+

Sam Gro CropPERSON

0.99+

Jeff Boudreau, Dell Technologies| | Dell Technologies Summit 2022


 

>>Welcome back to the Cube's exclusive coverage of the Dell Technology Summit. I'm Dave Ante. We're going inside with Dell Execs to extract the signal from the noise. And right now we're gonna dig into customer requirements in a data intensive world and how cross cloud complexities get resolved from a product development perspective and how the ecosystem fits in to that mosaic to close the gaps and accelerate innovation. And with me now is friend of the Cube, Jeff Boudreau. He's the president of the Infrastructure Solutions Group, ISG at Dell Technologies. Jeff, always good to see you. Welcome. >>You too. Thank you for having me. It's great to see you and thanks for having me back on the key. I'm thrilled to be here. >>Yeah, it's our pleasure. Okay, so let's talk about what you're observing from customers today. You know, we talk all the time about operating in a data driven multi-cloud world, blah, blah, blah, blah. But what does that all mean to you when you have to translate that noise into products that solve specific customer problems, Jeff? >>Sure. Hey, great question. And everything always starts with our customers. They're our motivation. They're top of mind in everything we do. My leadership team and I spend a lot of time with our customers. We're listening, we're learning, we're really understanding their pain points, and we wanna get their feedback in regards to our solutions. Both turn and future offerings really ensured that we're aligned to meeting their business objectives. I would say from these conversations, I'd say customers are telling us several things. First, it's all about data for no surprise going back to your opening. And second, it's about the multi-cloud world. And I'd say the big thing coming from all of this is that both of those is driving a ton of complexity for our customers. And I'll unpack that just a bit, which is first the data. As we all know, data is growing at unprecedented rates with more than 90% of the world's data being produced in the last two years alone. >>And you can just think of that in its everywhere, right? And so as it is, the IT world shifts towards distributed compute to support that data growth and that data gravity to really extract more value from that data in real time environments become inherently more and more hybrid and more and more multi-cloud. Which leads me to the second key point that I've been hearing from our customers, which it's a multi-cloud world, not new news. Customers by default have multiple clouds running across multiple locations. That's on-prem and off, it's running at the edge and it's serving a variety of different needs. Unfortunately, for most of our CU customers, multicloud actually added to their complexity. As we've discussed, it's been a lot more of multicloud by default versus multicloud by design. Really think about customers, I I, I'm talking to 'EM all the time. You think about the data complexity, that's the growth in the graph. >>You think about their infrastructure complexity, shifting from central to decentralized it, you think of a multi-cloud complexity. So you have these walled gardens, if you will. So you have multiple vendors and you have these multiple contracts that all creates operational complexity for their teams around their processes of their tools. And then you think about the security complexity that that drives with the, just the increased tax service and the list goes on. So what are we seeing for our customers? They, what they really want from, also what they're asking us for is simplicity, not complexity. The immediacy, not latency. They're asking for open and align versus I'd say siloed and closed. And they're looking for a lot more agility and not rigidity in what we do. So they really wanna simplify everything. They're looking for a simpler IT in a more agile it, and they want more control of their data, right? >>And so, and they want to extract more of the value to enrich their business or their customer engagements, which all sounds pretty obvious and we've probably all heard it a bunch, but it's really hard to achieve. And that's where I believe, and we believe as Dell that we, it creates a big opportunity for us to really help our customers as that great simplifier of it. We're already doing this today on just a couple quick examples. First is Salesforce. We've supported recently, we've supported their global expansion with a multi-cloud solution to help them drive their business growth. Our solution delivered a reliable and consistent IT experience. We go back to that complexity and it was across a very distributed environment, including more than 60 data centers, 230 countries in hundreds of thousands of customers. It really provided Salesforce with the flexibility of placing workloads and data in an environment based on the right service level. >>Objective things like cost complexity or even security compliance considerations. The second customer A is a big New England Patriot fan. And Dan, Dave, I know you are as well. Oh yeah, this one's near, near data, my heart, it's the craft group. We just created a platform to span all their businesses that created more, I'd say data driven, immersive, secure experience, which is allowing them to capture data at the edge and use it for realtime insights for things like cyber resiliency, but also like safety of the facilities. And as being a pare fan like I am Dave, they truly are meeting us where we are in, in our seats on their mobile devices and also in the parking lot. So just keep that in mind next time you're there. But bottom line, everything we're doing is really to make it simpler for our customers and to help them get the most of their data. I'd say we're gonna do this, is it through a multi-cloud by design approach, which we talked a lot about with you and and others at Dell Tech world earlier this year, >>Right? And we had Salesforce on, actually at Dell Tech Group. The craft group is interesting because, you know, when you get to the stadium, you know, everybody's trying to get, get, get out to the internet and, and, but then the experience is so much better if you can actually, you know, deal with that edge. So I wanna talk about complexity though. You got data, you got, you know, the, the edge, you got multiple clouds, you got a different operating model across security models, different. So a lot of times in this industry we solve complexity with more complexity and it's like a bandaid. So I wanna, I wanna talk to, to how you're innovating around simplicity in ISG to address this complexity and what this means for Dell's long term strategy. >>Sure, I'd love to. So first I, I'd like to state the obvious, which are our investments in our innovations really focused on advancing, you know, our, our our customers needs, right? So we are really, our investments are gonna be targeted. We, we believe customers can have the most value. And some of that's gonna be around how we create strategic partnerships as well connected to what we just spoke about. Much of the complexity of customers have or experiencing is in the orchestration and management of all the data in all these different places and customers, you know, they must be able to quickly deploy and operate across cloud environments. They need to increase their developer productivity, really enabling those developers that do what they do best, which is creating more value for their customers than for their businesses. Our innovation efforts are really focused on addressing this by delivering an open and modern IT architecture that allows customers to run and manage any workload in any cloud anywhere. >>Data lives we're focused on, also focused on consumption based solutions, which allow for a greater degree of simplicity and flexibility, which they're really asking for as well. The foundation for this is our software defined common storage layer. That common storage layer, You can think about this, Dave, as our ias if you will. It underpins our data access in mobility across all data types of locations. So you can think private, public, telecom, colo, edge, and it's delivered in a secure, holistic, and consistent cloud experience through Apex. We are making a ton of progress to let you, just to be, just to be clear, we made headway in things like Project Alpine, which you're very well aware of. This is our storage as a service. We announce us back in, in January, which brings our unique software IP from our flagship storage platform to all the major public clouds, really delivering the best of both world, allowing our customers to take advantage of Dell's enterprise class data services and storage software, such as performance at scale, resiliency, efficiency and security. >>But in addition to that, we're leveraging the breadth of the public cloud services, right? They're on demand scaling capabilities and access to analytical services. So in addition, we're really, we're on our way to win at the edge as well with Project Frontier, which reduces complexity at the edge by creating an open and secure software platform to help our customers simplify their edge operations, optimize their edge environments and investments, secure that edge environment as well. I believe you're gonna be discussing Cru in Frontier here with Sam Broco in the very near future. So I won't give up more, too many more details there. And lastly, we're also scaling Apex, which, you know, well shifting from our vision, really shifting from vision to reality and introducing several new Apex service offerings, which are coming to market over the next month or so. And the intent is really supporting our customers on their as a service transitions by modernize the consumption experience and providing that flexible as a service model. Ultimately, we're trying to help our customers achieve that multicloud by design to really simplify it and unlock the power of their data. >>So some good examples there. I I like to talk about the super Cloud as you, you know, you're building on top of the, you know, hyperscale infrastructure and you got Apex is your cloud, the common storage layer, you call it your ISAs. And that's, that's a ingredient in what we call the super cloud out to the edge. You have to have a common platform there and one of the hallmarks of a cloud company. And as you become a cloud company, everybody's a cloud company ecosystem becomes really, really important in terms of product development and, and innovation. Matt Baker always loves to stress it's not a zero sum game. And, and I think Super Cloud recognizes that, that there's value to be built on top of other clouds and, and, and of course on top of your infrastructure so that your ecosystem can add value. So what role does the ecosystem play there? >>For me, it's, it's pretty clear. It's, it's, it's critical. I can't say that enough above the having an open ecosystem. Think about everything we just discussed, and I agree with your super cloud analogy. I agree with what Matt Baker had said to you, I would certain no one company can actually address all the pain points and all the issues and challenges our customers are having on their own. Not one. I think customers really want and deserve an open technology ecosystem, one that works together. So not these close stacks that discourages interoperability or stifles innovation and productivity of each of our teams. We del I guess, have a long history of supporting open ecosystems that really put customers first. And to be clear, we're gonna be at the center of the multi-cloud ecosystem and we're working with partners today to make that a reality. I mean, just think of what we're doing with VMware. >>We continue to build on our first and best alliances with them in August at their VMware explorer, which I know you were at. We announced several joint engineering initiatives to really help customers more easily manage and gain value from their data and their infrastructure. For multi-cloud. Specifically, we strength our relationship with VMware and know with Tansu as part of that. In addition, just a few weeks ago we announced our partnership with Red Hat to simplify our multicloud deployments for managing containerized workloads. I'd say, and using your analogy, I could think of that as our multicloud platform. So that's kind of our PAs layer, if you will. And as you're aware, we have a very long standing and strategic partnership with Microsoft and I'd say stay tuned. There's a lot more to come with them and also others in this multi-cloud space. Shifting a bit to some of the growth engines that my team's responsible for the edge, right? >>As you think about data being everywhere, we've established partnerships for the Edge as well with folks like PTC and Litmus for the manufacturing edge, but also folks like Deep North for the retail edge analytics in data management, using your Supercloud analogy, Dave the sa, right? This is our SAS layer. We've announced that we're collaborating, partnering with folks like Snowflake and, and there's other data management companies as well to really simplify data access and accelerate those data insights. And then given customers choice of where they'd like to have their IT and their infrastructure, we've we're expanding our colo partnerships as well with folks like Equinox and, and they're allowing us to broaden our availability of Apex, providing customers the flexibility, take advantage of those as a service offerings wherever it's delivered and where they can get the most value. So those are just some you can hear from me. I think it's critical not only for, for us, I think it's critical for our customers. I think it's been critical, critical for the entire, you know, industry as a whole to really have that open technology ecosystem as we work with our customers on our multi-cloud solutions really to meet their needs. We'll continue to collaborate with whoever customers choose and you know, and who they want us to do business with. So I'd say a lot more coming in that space. >>So it's been an interesting three years for you, just, just over three years now since you've been made the president of the I isg. And so you had to dig in and it was obviously strange time around the world, but, but you really had to look at, okay, how do we mo modernize the platform? How do we make it, you know, cloud first? You've mentioned the edge, we're expanding. So what are the big takeaways? What do you want customers and our audience to understand? Just some closing thoughts and if you could summarize. >>Sure. So I'd say first, you know, we've discussed, we're working in a very fast paced, ever changing market with massive amounts of data that needs to be managed. It's very complex and our customers need help with that complexity. I believe that Dell Technologies is uniquely positioned to help as their multi-cloud champion. No one else can solve the breadth and depth of the challenges like we can. And we're gonna help our customers move forward when they basically moving from a multicloud by default, as we've discussed before, to multicloud by design. And I'm really excited for the opportunity to work with our customers to help them expand that ecosystem as they truly realize the future of it and, and what they're trying to accomplish. >>Jeff, thanks so much. Really appreciate your time. Always a pleasure. Go pats and we'll see you on the blog. >>Thanks Dave. >>All right, you're watching exclusive insights from Dell Technology Summit on the cube, your leader in enterprise and emerging tech coverage.

Published Date : Oct 11 2022

SUMMARY :

how the ecosystem fits in to that mosaic to close the gaps and accelerate It's great to see you and thanks for having me back on the key. But what does that all mean to you when you have to translate And I'd say the big thing coming from all of this is that both of those is driving And you can just think of that in its everywhere, right? And then you think about the security complexity that that drives We go back to that complexity and which we talked a lot about with you and and others at Dell Tech world earlier this year, you know, when you get to the stadium, you know, everybody's trying to get, get, get out to the internet of all the data in all these different places and customers, you know, So you can think private, public, And lastly, we're also scaling Apex, which, you know, well shifting from our vision, really shifting from vision to reality And as you become And to be clear, We continue to build on our first and best alliances with them in August at We'll continue to collaborate with whoever customers choose and you know, around the world, but, but you really had to look at, okay, how do we mo modernize the platform? And I'm really excited for the opportunity to work with our customers to help them expand that ecosystem as Go pats and we'll see you All right, you're watching exclusive insights from Dell Technology Summit on the cube,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Jeff BoudreauPERSON

0.99+

DanPERSON

0.99+

JeffPERSON

0.99+

Matt BakerPERSON

0.99+

DavePERSON

0.99+

MicrosoftORGANIZATION

0.99+

AugustDATE

0.99+

EquinoxORGANIZATION

0.99+

DellORGANIZATION

0.99+

Dave AntePERSON

0.99+

JanuaryDATE

0.99+

FirstQUANTITY

0.99+

Sam BrocoPERSON

0.99+

Dell TechnologiesORGANIZATION

0.99+

three yearsQUANTITY

0.99+

secondQUANTITY

0.99+

Dell TechnologiesORGANIZATION

0.99+

Infrastructure Solutions GroupORGANIZATION

0.99+

firstQUANTITY

0.99+

VMwareORGANIZATION

0.99+

Red HatORGANIZATION

0.99+

PTCORGANIZATION

0.99+

230 countriesQUANTITY

0.99+

Dell Tech GroupORGANIZATION

0.99+

BothQUANTITY

0.99+

more than 90%QUANTITY

0.99+

more than 60 data centersQUANTITY

0.99+

bothQUANTITY

0.99+

Deep NorthORGANIZATION

0.98+

Dell Technology SummitEVENT

0.98+

over three yearsQUANTITY

0.98+

Dell TechORGANIZATION

0.98+

LitmusORGANIZATION

0.97+

TansuORGANIZATION

0.97+

todayDATE

0.97+

eachQUANTITY

0.97+

Project AlpineORGANIZATION

0.96+

FrontierORGANIZATION

0.96+

Dell Technologies SummitEVENT

0.96+

ISGORGANIZATION

0.95+

second key pointQUANTITY

0.95+

ApexORGANIZATION

0.95+

next monthDATE

0.95+

earlier this yearDATE

0.94+

I isgORGANIZATION

0.92+

EdgeORGANIZATION

0.92+

SalesforceORGANIZATION

0.9+

SnowflakeORGANIZATION

0.9+

oneQUANTITY

0.87+

hundreds of thousandsQUANTITY

0.85+

both worldQUANTITY

0.85+

few weeks agoDATE

0.83+

New England PatriotORGANIZATION

0.81+

coupleQUANTITY

0.8+

Project FrontierORGANIZATION

0.8+

second customerQUANTITY

0.8+

ApexTITLE

0.77+

last two yearsDATE

0.76+

multicloudORGANIZATION

0.75+

super CloudTITLE

0.67+

Super CloudTITLE

0.63+

customersQUANTITY

0.61+

2022DATE

0.58+

VMware explorerTITLE

0.58+

SupercloudORGANIZATION

0.56+

CubeORGANIZATION

0.55+

CubeCOMMERCIAL_ITEM

0.51+

ExecsCOMMERCIAL_ITEM

0.39+

AMD & Oracle Partner to Power Exadata X9M


 

(upbeat jingle) >> The history of Exadata in the platform is really unique. And from my vantage point, it started earlier this century as a skunkworks inside of Oracle called Project Sage back when grid computing was the next big thing. Oracle saw that betting on standard hardware would put it on an industry curve that would rapidly evolve. Last April, for example, Oracle announced the availability of Exadata X9M in OCI, Oracle Cloud Infrastructure. One thing that hasn't been as well publicized is that Exadata on OCI is using AMD's EPYC processors in the database service. EPYC is not Eastern Pacific Yacht Club for all you sailing buffs, rather it stands for Extreme Performance Yield Computing, the enterprise grade version of AMD's Zen architecture which has been a linchpin of AMD's success in terms of penetrating enterprise markets. And to focus on the innovations that AMD and Oracle are bringing to market, we have with us today, Juan Loaiza, who's executive vice president of mission critical technologies at Oracle, and Mark Papermaster, who's the CTO and EVP of technology and engineering at AMD. Juan, welcome back to the show. Mark, great to have you on The Cube in your first appearance, thanks for coming on. Juan, let's start with you. You've been on The Cube a number of times, as I said, and you've talked about how Exadata is a top platform for Oracle database. We've covered that extensively. What's different and unique from your point of view about Exadata Cloud Infrastructure X9M on OCI? >> So as you know, Exadata, it's designed top down to be the best possible platform for database. It has a lot of unique capabilities, like we make extensive use of RDMA, smart storage. We take advantage of everything we can in the leading hardware platforms. X9M is our next generation platform and it does exactly that. We're always wanting to be, to get all the best that we can from the available hardware that our partners like AMD produce. And so that's what X9M in it is, it's faster, more capacity, lower latency, more iOS, pushing the limits of the hardware technology. So we don't want to be the limit, the software database software should not be the limit, it should be the actual physical limits of the hardware. That that's what X9M's all about. >> Why, Juan, AMD chips in X9M? >> We're introducing AMD chips. We think they provide outstanding performance, both for OTP and for analytic workloads. And it's really that simple, we just think the performance is outstanding in the product. >> Mark, your career is quite amazing. I could riff on history for hours but let's focus on the Oracle relationship. Mark, what are the relevant capabilities and key specs of the AMD chips that are used in Exadata X9M on Oracle's cloud? >> Well, thanks. It's really the basis of the great partnership that we have with Oracle on Exadata X9M and that is that the AMD technology uses our third generation of Zen processors. Zen was architected to really bring high performance back to X86, a very strong roadmap that we've executed on schedule to our commitments. And this third generation does all of that, it uses a seven nanometer CPU that is a core that was designed to really bring throughput, bring really high efficiency to computing and just deliver raw capabilities. And so for Exadata X9M, it's really leveraging all of that. It's really a balanced processor and it's implemented in a way to really optimize high performance. That is our whole focus of AMD. It's where we've reset the company focus on years ago. And again, great to see the super smart database team at Oracle really partner with us, understand those capabilities and it's been just great to partner with them to enable Oracle to really leverage the capabilities of the Zen processor. >> Yeah. It's been a pretty amazing 10 or 11 years for both companies. But Mark, how specifically are you working with Oracle at the engineering and product level and what does that mean for your joint customers in terms of what they can expect from the collaboration? >> Well, here's where the collaboration really comes to play. You think about a processor and I'll say, when Juan's team first looked at it, there's general benchmarks and the benchmarks are impressive but they're general benchmarks. And they showed the base processing capability but the partnership comes to bear when it means optimizing for the workloads that Exadata X9M is really delivering to the end customers. And that's where we dive down and as we learn from the Oracle team, we learn to understand where bottlenecks could be, where is there tuning that we could in fact really boost the performance above that baseline that you get in the generic benchmarks. And that's what the teams have done, so for instance, you look at optimizing latency to our DMA, you look at optimizing throughput on oil TP and database processing. When you go through the workloads and you take the traces and you break it down and you find the areas that are bottlenecking and then you can adjust, we have thousands of parameters that can be adjusted for a given workload. And that's the beauty of the partnership. So we have the expertise on the CPU engineering, Oracle Exadata team knows innately what the customers need to get the most out of their platform. And when the teams came together, we actually achieved anywhere from 20% to 50% gains on specific workloads, it is really exciting to see. >> Mark, last question for you is how do you see this relationship evolving in the future? Can you share a little roadmap for the audience? >> You bet. First off, given the deep partnership that we've had on Exadata X9M, it's really allowed us to inform our future design. So in our current third generation, EPYC is that is really what we call our epic server offerings. And it's a 7,003 third gen and Exadara X9M. So what about fourth gen? Well, fourth gen is well underway, ready for the future, but it incorporates learning that we've done in partnership with Oracle. It's going to have even more through capabilities, it's going to have expanded memory capabilities because there's a CXL connect express link that'll expand even more memory opportunities. And I could go on. So that's the beauty of a deep partnership as it enables us to really take that learning going forward. It pays forward and we're very excited to fold all of that into our future generations and provide even a better capabilities to Juan and his team moving forward. >> Yeah, you guys have been obviously very forthcoming. You have to be with Zen and EPYC. Juan, anything you'd like to add as closing comments? >> Yeah. I would say that in the processor market there's been a real acceleration in innovation in the last few years, there was a big move 10, 15 years ago when multicore processors came out. And then we were on that for a while and then things started stagnating, but in the last two or three years, AMD has been leading this, there's been a dramatic acceleration in innovation so it's very exciting to be part of this and customers are getting a big benefit from this. >> All right. Hey, thanks for coming back on The Cube today. Really appreciate your time. >> Thanks. Glad to be here. >> All right and thank you for watching this exclusive Cube conversation. This is Dave Vellante from The Cube and we'll see you next time. (upbeat jingle)

Published Date : Sep 22 2022

SUMMARY :

in the database service. in the leading hardware platforms. And it's really that simple, and key specs of the the great partnership that we have expect from the collaboration? but the partnership comes to So that's the beauty of a deep partnership You have to be with Zen and EPYC. but in the last two or three years, coming back on The Cube today. Glad to be here. and we'll see you next time.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JuanPERSON

0.99+

Dave VellantePERSON

0.99+

OracleORGANIZATION

0.99+

Juan LoaizaPERSON

0.99+

MarkPERSON

0.99+

10QUANTITY

0.99+

20%QUANTITY

0.99+

Mark PapermasterPERSON

0.99+

AMDORGANIZATION

0.99+

Last AprilDATE

0.99+

11 yearsQUANTITY

0.99+

thousandsQUANTITY

0.99+

both companiesQUANTITY

0.99+

iOSTITLE

0.99+

7,003QUANTITY

0.99+

X9MTITLE

0.99+

50%QUANTITY

0.99+

fourth genQUANTITY

0.98+

todayDATE

0.98+

FirstQUANTITY

0.98+

ZenCOMMERCIAL_ITEM

0.97+

third generationQUANTITY

0.97+

X86COMMERCIAL_ITEM

0.97+

first appearanceQUANTITY

0.97+

ExadataTITLE

0.97+

third genQUANTITY

0.96+

earlier this centuryDATE

0.96+

seven nanometerQUANTITY

0.96+

ExadataORGANIZATION

0.94+

firstQUANTITY

0.92+

Eastern Pacific Yacht ClubORGANIZATION

0.9+

EPYCORGANIZATION

0.87+

bothQUANTITY

0.86+

OCITITLE

0.85+

One thingQUANTITY

0.83+

Exadata X9MCOMMERCIAL_ITEM

0.81+

Power ExadataORGANIZATION

0.81+

The CubeORGANIZATION

0.8+

OCIORGANIZATION

0.79+

The CubeCOMMERCIAL_ITEM

0.79+

ZenORGANIZATION

0.78+

three yearsQUANTITY

0.78+

Exadata X9MCOMMERCIAL_ITEM

0.74+

X9MCOMMERCIAL_ITEM

0.74+

yearsDATE

0.73+

15 years agoDATE

0.7+

10DATE

0.7+

EPYCOTHER

0.65+

ExadaraORGANIZATION

0.64+

Oracle Cloud InfrastructureORGANIZATION

0.61+

last few yearsDATE

0.6+

Exadata Cloud Infrastructure X9MTITLE

0.6+

Alteryx Democratizing Analytics Across the Enterprise Full Episode V1b


 

>> It's no surprise that 73% of organizations indicate analytics spend will outpace other software investments in the next 12 to 18 months. After all as we know, data is changing the world and the world is changing with it. But is everyone's spending resulting in the same ROI? This is Lisa Martin. Welcome to "theCUBE"'s presentation of democratizing analytics across the enterprise, made possible by Alteryx. An Alteryx commissioned IDC info brief entitled, "Four Ways to Unlock Transformative Business Outcomes from Analytics Investments" found that 93% of organizations are not utilizing the analytics skills of their employees, which is creating a widening analytics gap. On this special "CUBE" presentation, Jason Klein, product marketing director of Alteryx, will join me to share key findings from the new Alteryx commissioned IDC brief and uncover how enterprises can derive more value from their data. In our second segment, we'll hear from Alan Jacobson, chief data and analytics officer at Alteryx. He's going to discuss how organizations across all industries can accelerate their analytic maturity to drive transformational business outcomes. And then in our final segment, Paula Hansen, who is the president and chief revenue officer of Alteryx, and Jacqui Van der Leij Greyling, who is the global head of tax technology at eBay, they'll join me. They're going to share how Alteryx is helping the global eCommerce company innovate with analytics. Let's get the show started. (upbeat music) Jason Klein joins me next, product marketing director at Alteryx. Jason, welcome to the program. >> Hello, nice to be here. >> Excited to talk with you. What can you tell me about the new Alteryx IDC research, which spoke with about 1500 leaders, what nuggets were in there? >> Well, as the business landscape changes over the next 12 to 18 months, we're going to see that analytics is going to be a key component to navigating this change. 73% of the orgs indicated that analytics spend will outpace other software investments. But just putting more money towards technology, it isn't going to solve everything. And this is why everyone's spending is resulting in different ROIs. And one of the reasons for this gap is because 93% of organizations, they're still not fully using the analytics skills of their employees, and this widening analytics gap, it's threatening operational progress by wasting workers' time, harming business productivity and introducing costly errors. So in this research, we developed a framework of enterprise analytics proficiency that helps organizations reap greater benefits from their investments. And we based this framework on the behaviors of organizations that saw big improvements across financial, customer, and employee metrics, and we're able to focus on the behaviors driving higher ROI. >> So the info brief also revealed that nearly all organizations are planning to increase their analytics spend. And it looks like from the info brief that nearly three quarters plan on spending more on analytics than any other software. And can you unpack, what's driving this demand, this need for analytics across organizations? >> Sure, well first there's more data than ever before, the data's changing the world, and the world is changing data. Enterprises across the world, they're accelerating digital transformation to capitalize on new opportunities, to grow revenue, to increase margins and to improve customer experiences. And analytics along with automation and AI is what's making digital transformation possible. They're providing the fuel to new digitally enabled lines of business. >> One of the things that the study also showed was that not all analytics spending is resulting in the same ROI. What are some of the discrepancies that the info brief uncovered with respect to the changes in ROI that organizations are achieving? >> Our research with IDC revealed significant roadblocks across people, processes, and technologies. They're preventing companies from reaping greater benefits from their investments. So for example, on the people side, only one out of five organizations reported a commensurate investment in upskilling for analytics and data literacy as compared to the technology itself. And next, while data is everywhere, most organizations, 63% from our survey, are still not using the full breadth of data types available. Yet data's never been this prolific, it's going to continue to grow, and orgs should be using it to their advantage. And lastly organizations, they need to provide the right analytics tools to help everyone unlock the power of data. >> So they- >> They instead rely on outdated spreadsheet technology. In our survey, nine out of 10 respondents said less than half of their knowledge workers are active users of analytics software beyond spreadsheets. But true analytic transformation can't happen for an organization in a few select pockets or silos. We believe everyone regardless of skill level should be able to participate in the data and analytics process and be driving value. >> Should we retake that, since I started talking over Jason accidentally? >> Yep, absolutely we can do so. We'll just go, yep, we'll go back to Lisa's question. Let's just, let's do the, retake the question and the answer, that'll be able to. >> It'll be not all analytics spending results in the same ROI, what are some of the discrepancies? >> Yes, Lisa, so we'll go from your ISO, just so we get that clean question and answer. >> Okay. >> Thank you for that. On your ISO, we're still speeding, Lisa, so give it a beat in your head and then on you. >> Yet not all analytics spending is resulting in the same ROI. So what are some of the discrepancies that the info brief uncovered with respect to ROI? >> Well, our research with IDC revealed significant roadblocks across people, processes, and technologies, all preventing companies from reaping greater benefits from their investments. So on the people side, for example, only one out of five organizations reported a commensurate investment in upskilling for analytics and data literacy as compared to the technology itself. And next, while data is everywhere, most organizations, 63% in our survey, are still not using the full breadth of data types available. Data has never been this prolific. It's going to continue to grow and orgs should be using it to their advantage. And lastly, organizations, they need to provide the right analytic tools to help everyone unlock the power of data, yet instead they're relying on outdated spreadsheet technology. Nine of 10 survey respondents said that less than half of their knowledge workers are active users of analytics software. True analytics transformation can't happen for an organization in a few select pockets or silos. We believe everyone regardless of skill level should be able to participate in the data and analytics process and drive value. >> So if I look at this holistically, then what would you say organizations need to do to make sure that they're really deriving value from their investments in analytics? >> Yeah, sure. So overall, the enterprises that derive more value from their data and analytics and achieve more ROI, they invested more aggressively in the four dimensions of enterprise analytics proficiency. So they've invested in the comprehensiveness of analytics across all data sources and data types, meaning they're applying analytics to everything. They've invested in the flexibility of analytics across deployment scenarios and departments, meaning they're putting analytics everywhere. They've invested in the ubiquity of analytics and insights for every skill level, meaning they're making analytics for everyone. And they've invested in the usability of analytics software, meaning they're prioritizing easy technology to accelerate analytics democratization. >> So very strategic investments. Did the survey uncover any specific areas where most companies are falling short, like any black holes that organizations need to be aware of at the outset? >> It did, it did. So organizations, they need to build a data-centric culture. And this begins with people. But what the survey told us is that the people aspect of analytics is the most heavily skewed towards low proficiency. In order to maximize ROI, organizations need to make sure everyone in the organization has access to the data and analytics technology they need. And then the organizations also have to align their investments with upskilling in data literacy to enjoy that higher ROI. Companies who did so experience higher ROI than companies who underinvested in analytics literacy. So among the high ROI achievers, 78% have a good or great alignment between analytics investment and workforce upskilling compared to only 64% among those without positive ROI. And as more orgs adopt cloud data warehouses or cloud data lakes, in order to manage the massively increasing workloads- Can I start that one over. >> Sure. >> Can I redo this one? >> Yeah. >> Of course, stand by. >> Tongue tied. >> Yep, no worries. >> One second. >> If we could do the same, Lisa, just have a clean break, we'll go your question. >> Yep, yeah. >> On you Lisa. Just give that a count and whenever you're ready. Here, I'm going to give us a little break. On you Lisa. >> So are there any specific areas that the survey uncovered where most companies are falling short? Like any black holes organizations need to be aware of from the outset? >> It did. You need to build a data-centric culture and this begins with people, but we found that the people aspect of analytics is most heavily skewed towards low proficiency. In order to maximize ROI organizations need to make sure everyone has access to the data and analytics technology they need. Organizations that align their analytics investments with upskilling enjoy higher ROI than orgs that are less aligned. For example, among the high ROI achievers in our survey, 78% had good or great alignment between analytics investments and workforce upskilling, compared to only 64% among those without positive ROI. And as more enterprises adopt cloud data warehouses or cloud data lakes to manage increasingly massive data sets, analytics needs to exist everywhere, especially for those cloud environments. And what we found is organizations that use more data types and more data sources generate higher ROI from their analytics investments. Among those with improved customer metrics, 90% were good or great at utilizing all data sources, compared to only 67% among the ROI laggards. >> So interesting that you mentioned people, I'm glad that you mentioned people. Data scientists, everybody talks about data scientists. They're in high demand, we know that, but there aren't enough to meet the needs of all enterprises. So given that discrepancy, how can organizations fill the gap and really maximize the investments that they're making in analytics? >> Right, so analytics democratization, it's no longer optional, but it doesn't have to be complex. So we at Alteryx, we're democratizing analytics by empowering every organization to upskill every worker into a data worker. And the data from this survey shows this is the optimal approach. Organizations with a higher percentage of knowledge workers who are actively using analytics software enjoy higher returns from their analytics investment than orgs still stuck on spreadsheets. Among those with improved financial metrics, AKA the high ROI achievers, nearly 70% say that at least a quarter of their knowledge workers are using analytics software other than spreadsheets compared to only 56% in the low ROI group. Also among the high ROI performers, 63% said data and analytic workers collaborate well or extremely well compared to only 51% in the low ROI group. The data from the survey shows that supporting more business domains with analytics and providing cross-functional analytics correlates with higher ROI. So to maximize ROI, orgs should be transitioning workers from spreadsheets to analytics software. They should be letting them collaborate effectively and letting them do so cross-functionally. >> Yeah, that cross-functional collaboration is essential for anyone in any organization and in any discipline. Another key thing that jumped out from the survey was around shadow IT. The business side is using more data science tools than the IT side. And it's expected to spend more on analytics than other IT. What risks does this present to the overall organization, if IT and the lines of business guys and gals aren't really aligned? >> Well, there needs to be better collaboration and alignment between IT and the line of business. The data from the survey, however, shows that business managers, they're expected to spend more on analytics and use more analytics tools than IT is aware of. And this isn't because the lines of business have recognized the value of analytics and plan to invest accordingly, but a lack of alignment between IT and business. This will negatively impact governance, which ultimately impedes democratization and hence ROI. >> So Jason, where can organizations that are maybe at the outset of their analytics journey, or maybe they're in environments where there's multiple analytics tools across shadow IT, where can they go to Alteryx to learn more about how they can really simplify, streamline, and dial up the value on their investment? >> Well, they can learn more on our website. I also encourage them to explore the Alteryx community, which has lots of best practices, not just in terms of how you do the analytics, but how you stand up in Alteryx environment, but also to take a look at your analytics stack and prioritize technologies that can snap to and enhance your organization's governance posture. It doesn't have to change it, but it should be able to align to and enhance it. >> And of course, as you mentioned, it's about people, process, and technologies. Jason, thank you so much for joining me today, unpacking the IDC info brief and the great nuggets in there. Lots that organizations can learn and really become empowered to maximize their analytics investments. We appreciate your time. >> Thank you, it's been a pleasure. >> In a moment, Alan Jacobson, who's the chief data and analytics officer at Alteryx is going to join me. He's going to be here to talk about how organizations across all industries can accelerate their analytic maturity to drive transformational business outcomes. You're watching "theCUBE", the leader in tech enterprise coverage. >> Somehow many have come to believe that data analytics is for the few, for the scientists, the PhDs, the MBAs. Well, it is for them, but that's not all. You don't have to have an advanced degree to do amazing things with data. You don't even have to be a numbers person. You can be just about anything. A titan of industry or a future titan of industry. You could be working to change the world, your neighborhood, or the course of your business. You can be saving lives or just looking to save a little time. The power of data analytics shouldn't be limited to certain job titles or industries or organizations because when more people are doing more things with data, more incredible things happen. Analytics makes us smarter and faster and better at what we do. It's practically a superpower. That's why we believe analytics is for everyone, and everything, and should be everywhere. That's why we believe in analytics for all. (upbeat music) >> Hey, everyone. Welcome back to "Accelerating Analytics Maturity". I'm your host, Lisa Martin. Alan Jacobson joins me next. The chief of data and analytics officer at Alteryx. Alan, it's great to have you on the program. >> Thanks, Lisa. >> So Alan, as we know, everyone knows that being data driven is very important. It's a household term these days, but 93% of organizations are not utilizing the analytics skills of their employees, which is creating a widening analytics gap. What's your advice, your recommendations for organizations who are just starting out with analytics? >> You're spot on, many organizations really aren't leveraging the full capability of their knowledge workers. And really the first step is probably assessing where you are on the journey, whether that's you personally, or your organization as a whole. We just launched an assessment tool on our website that we built with the International Institute of Analytics, that in a very short period of time, in about 15 minutes, you can go on and answer some questions and understand where you sit versus your peer set versus competitors and kind of where you are on the journey. >> So when people talk about data analytics, they often think, ah, this is for data science experts like people like you. So why should people in the lines of business like the finance folks, the marketing folks, why should they learn analytics? >> So domain experts are really in the best position. They know where the gold is buried in their companies. They know where the inefficiencies are. And it is so much easier and faster to teach a domain expert a bit about how to automate a process or how to use analytics than it is to take a data scientist and try to teach them to have the knowledge of a 20 year accounting professional or a logistics expert of your company. Much harder to do that. And really, if you think about it, the world has changed dramatically in a very short period of time. If you were a marketing professional 30 years ago, you likely didn't need to know anything about the internet, but today, do you know what you would call that marketing professional if they didn't know anything about the internet, probably unemployed or retired. And so knowledge workers are having to learn more and more skills to really keep up with their professions. And analytics is really no exception. Pretty much in every profession, people are needing to learn analytics to stay current and be capable for their companies. And companies need people who can do that. >> Absolutely, it seems like it's table stakes these days. Let's look at different industries now. Are there differences in how you see analytics in automation being employed in different industries? I know Alteryx is being used across a lot of different types of organizations from government to retail. I also see you're now with some of the leading sports teams. Any differences in industries? >> Yeah, there's an incredible actually commonality between the domains industry to industry. So if you look at what an HR professional is doing, maybe attrition analysis, it's probably quite similar, whether they're in oil and gas or in a high tech software company. And so really the similarities are much larger than you might think. And even on the sports front, we see many of the analytics that sports teams perform are very similar. So McLaren is one of the great partners that we work with and they use Alteryx across many areas of their business from finance to production, extreme sports, logistics, wind tunnel engineering, the marketing team analyzes social media data, all using Alteryx, and if I take as an example, the finance team, the finance team is trying to optimize the budget to make sure that they can hit the very stringent targets that F1 Sports has, and I don't see a ton of difference between the optimization that they're doing to hit their budget numbers and what I see Fortune 500 finance departments doing to optimize their budget, and so really the commonality is very high, even across industries. >> I bet every Fortune 500 or even every company would love to be compared to the same department within McLaren F1. Just to know that wow, what they're doing is so incredibly important as is what we're doing. >> So talk- >> Absolutely. >> About lessons learned, what lessons can business leaders take from those organizations like McLaren, who are the most analytically mature? >> Probably first and foremost, is that the ROI with analytics and automation is incredibly high. Companies are having a ton of success. It's becoming an existential threat to some degree, if your company isn't going on this journey and your competition is, it can be a huge problem. IDC just did a recent study about how companies are unlocking the ROI using analytics. And the data was really clear, organizations that have a higher percentage of their workforce using analytics are enjoying a much higher return from their analytic investment, and so it's not about hiring two double PhD statisticians from Oxford. It really is how widely you can bring your workforce on this journey, can they all get 10% more capable? And that's having incredible results at businesses all over the world. An another key finding that they had is that the majority of them said that when they had many folks using analytics, they were going on the journey faster than companies that didn't. And so picking technologies that'll help everyone do this and do this fast and do it easily. Having an approachable piece of software that everyone can use is really a key. >> So faster, able to move faster, higher ROI. I also imagine analytics across the organization is a big competitive advantage for organizations in any industry. >> Absolutely the IDC, or not the IDC, the International Institute of Analytics showed huge correlation between companies that were more analytically mature versus ones that were not. They showed correlation to growth of the company, they showed correlation to revenue and they showed correlation to shareholder values. So across really all of the key measures of business, the more analytically mature companies simply outperformed their competition. >> And that's key these days, is to be able to outperform your competition. You know, one of the things that we hear so often, Alan, is people talking about democratizing data and analytics. You talked about the line of business workers, but I got to ask you, is it really that easy for the line of business workers who aren't trained in data science to be able to jump in, look at data, uncover and extract business insights to make decisions? >> So in many ways, it really is that easy. I have a 14 and 16 year old kid. Both of them have learned Alteryx, they're Alteryx certified and it was quite easy. It took 'em about 20 hours and they were off to the races, but there can be some hard parts. The hard parts have more to do with change management. I mean, if you're an accountant that's been doing the best accounting work in your company for the last 20 years, and all you happen to know is a spreadsheet for those 20 years, are you ready to learn some new skills? And I would suggest you probably need to, if you want to keep up with your profession. The big four accounting firms have trained over a hundred thousand people in Alteryx. Just one firm has trained over a hundred thousand. You can't be an accountant or an auditor at some of these places without knowing Alteryx. And so the hard part, really in the end, isn't the technology and learning analytics and data science, the harder part is this change management, change is hard. I should probably eat better and exercise more, but it's hard to always do that. And so companies are finding that that's the hard part. They need to help people go on the journey, help people with the change management to help them become the digitally enabled accountant of the future, the logistics professional that is E enabled, that's the challenge. >> That's a huge challenge. Cultural shift is a challenge, as you said, change management. How do you advise customers if you might be talking with someone who might be early in their analytics journey, but really need to get up to speed and mature to be competitive, how do you guide them or give them recommendations on being able to facilitate that change management? >> Yeah, that's a great question. So people entering into the workforce today, many of them are starting to have these skills. Alteryx is used in over 800 universities around the globe to teach finance and to teach marketing and to teach logistics. And so some of this is happening naturally as new workers are entering the workforce, but for all of those who are already in the workforce, have already started their careers, learning in place becomes really important. And so we work with companies to put on programmatic approaches to help their workers do this. And so it's, again, not simply putting a box of tools in the corner and saying free, take one. We put on hackathons and analytic days, and it can be great fun. We have a great time with many of the customers that we work with, helping them do this, helping them go on the journey, and the ROI, as I said, is fantastic. And not only does it sometimes affect the bottom line, it can really make societal changes. We've seen companies have breakthroughs that have really made great impact to society as a whole. >> Isn't that so fantastic, to see the difference that that can make. It sounds like you guys are doing a great job of democratizing access to Alteryx to everybody. We talked about the line of business folks and the incredible importance of enabling them and the ROI, the speed, the competitive advantage. Can you share some specific examples that you think of Alteryx customers that really show data breakthroughs by the lines of business using the technology? >> Yeah, absolutely, so many to choose from. I'll give you two examples quickly. One is Armor Express. They manufacture life saving equipment, defensive equipments, like armor plated vests, and they were needing to optimize their supply chain, like many companies through the pandemic. We see how important the supply chain is. And so adjusting supply to match demand is really vital. And so they've used Alteryx to model some of their supply and demand signals and built a predictive model to optimize the supply chain. And it certainly helped out from a dollar standpoint. They cut over a half a million dollars of inventory in the first year, but more importantly, by matching that demand and supply signal, you're able to better meet customer demand. And so when people have orders and are looking to pick up a vest, they don't want to wait. And it becomes really important to get that right. Another great example is British Telecom. They're a company that services the public sector. They have very strict reporting regulations that they have to meet and they had, and this is crazy to think about, over 140 legacy spreadsheet models that they had to run to comply with these regulatory processes and report, and obviously running 140 legacy models that had to be done in a certain order and length, incredibly challenging. It took them over four weeks each time that they had to go through that process. And so to save time and have more efficiency in doing that, they trained 50 employees over just a two week period to start using Alteryx and learn Alteryx. And they implemented an all new reporting process that saw a 75% reduction in the number of man hours it took to run in a 60% run time performance. And so, again, a huge improvement. I can imagine it probably had better quality as well, because now that it was automated, you don't have people copying and pasting data into a spreadsheet. And that was just one project that this group of folks were able to accomplish that had huge ROI, but now those people are moving on and automating other processes and performing analytics in other areas. So you can imagine the impact by the end of the year that they will have on their business, potentially millions upon millions of dollars. And this is what we see again and again, company after company, government agency after government agency, is how analytics are really transforming the way work is being done. >> That was the word that came to mind when you were describing the all three customer examples, transformation, this is transformative. The ability to leverage Alteryx, to truly democratize data and analytics, give access to the lines of business is transformative for every organization. And also the business outcome you mentioned, those are substantial metrics based business outcomes. So the ROI in leveraging a technology like Alteryx seems to be right there, sitting in front of you. >> That's right, and to be honest, it's not only important for these businesses. It's important for the knowledge workers themselves. I mean, we hear it from people that they discover Alteryx, they automate a process, they finally get to get home for dinner with their families, which is fantastic, but it leads to new career paths. And so knowledge workers that have these added skills have so much larger opportunity. And I think it's great when the needs of businesses to become more analytic and automate processes actually matches the needs of the employees, and they too want to learn these skills and become more advanced in their capabilities. >> Huge value there for the business, for the employees themselves to expand their skillset, to really open up so many opportunities for not only the business to meet the demands of the demanding customer, but the employees to be able to really have that breadth and depth in their field of service. Great opportunities there, Alan. Is there anywhere that you want to point the audience to go to learn more about how they can get started? >> Yeah, so one of the things that we're really excited about is how fast and easy it is to learn these tools. So any of the listeners who want to experience Alteryx, they can go to the website, there's a free download on the website. You can take our analytic maturity assessment, as we talked about at the beginning, and see where you are on the journey and just reach out. We'd love to work with you and your organization to see how we can help you accelerate your journey on analytics and automation. >> Alan, it was a pleasure talking to you about democratizing data and analytics, the power in it for organizations across every industry. We appreciate your insights and your time. >> Thank you so much. >> In a moment, Paula Hansen, who is the president and chief revenue officer of Alteryx, and Jacqui Van der Leij Greyling, who's the global head of tax technology at eBay, will join me. You're watching "theCUBE", the leader in high tech enterprise coverage. >> 1200 hours of wind tunnel testing, 30 million race simulations, 2.4 second pit stops. >> Make that 2.3. >> Sector times out the wazoo. >> Way too much of this. >> Velocities, pressures, temperatures, 80,000 components generating 11.8 billion data points and one analytics platform to make sense of it all. When McLaren needs to turn complex data into winning insights, they turn to Alteryx. Alteryx, analytics automation. (upbeat music) >> Hey, everyone, welcome back to the program. Lisa Martin here, I've got two guests joining me. Please welcome back to "theCUBE" Paula Hansen, the chief revenue officer and president at Alteryx, and Jacqui Van der Leij Greyling joins us as well, the global head of tax technology at eBay. They're going to share with you how Alteryx is helping eBay innovate with analytics. Ladies, welcome, it's great to have you both on the program. >> Thank you, Lisa, it's great to be here. >> Yeah, Paula, we're going to start with you. In this program, we've heard from Jason Klein, we've heard from Alan Jacobson. They talked about the need to democratize analytics across any organization to really drive innovation. With analytics, as they talked about, at the forefront of software investments, how's Alteryx helping its customers to develop roadmaps for success with analytics? >> Well, thank you, Lisa. It absolutely is about our customers' success. And we partner really closely with our customers to develop a holistic approach to their analytics success. And it starts of course with our innovative technology and platform, but ultimately we help our customers to create a culture of data literacy and analytics from the top of the organization, starting with the C-suite. And we partner with our customers to build their roadmaps for scaling that culture of analytics, through things like enablement programs, skills assessments, hackathons, setting up centers of excellence to help their organization scale and drive governance of this analytics capability across the enterprise. So at the end of the day, it's really about helping our customers to move up their analytics maturity curve with proven technologies and best practices, so they can make better business decisions and compete in their respective industries. >> Excellent, sounds like a very strategic program, we're going to unpack that. Jacqui, let's bring you into the conversation. Speaking of analytics maturity, one of the things that we talked about in this event is the IDC report that showed that 93% of organizations are not utilizing the analytics skills of their employees, but then there's eBay. How Jacqui did eBay become one of the 7% of organizations who's really maturing and how are you using analytics across the organization at eBay? >> So I think the main thing for us is when we started out was is that, our, especially in finance, they became spreadsheet professionals instead of the things that we really want our employees to add value to. And we realized we had to address that. And we also knew we couldn't wait for all our data to be centralized until we actually start using the data or start automating and being more effective. So ultimately we really started very, very actively embedding analytics in our people and our data and our processes. >> Starting with people is really critical. Jacqui, continuing with you, what were some of the roadblocks to analytics adoption that you faced and how did you overcome them? >> So I think eBay is a very data driven company. We have a lot of data. I think we are 27 years around this year, so we have the data, but it is everywhere. And how do you use that data? How do you use it efficiently? How do you get to the data? And I believe that that is definitely one of our biggest roadblocks when we started out and just finding those data sources and finding ways to connect to them to move forward. The other thing is that people were experiencing a lot of frustration. I mentioned before about the spreadsheet professionals. And there was no, we were not independent. You couldn't move forward, you would've put it on somebody else's roadmap to get the data and to get the information if you want it. So really finding something that everybody could access analytics or access data. And finally we have to realize is that this is uncharted territory. This is not exactly something that everybody is used to working with every day. So how do you find something that is easy, and that is not so daunting on somebody who's brand new to the field? And I would call those out as your major roadblocks, because you always have, not always, but most of the times you have support from the top, and in our case we have, but at the end of the day, it's our people that need to actually really embrace it, and making that accessible for them, I would say is definitely not per se, a roadblock, but basically a block you want to be able to move. >> It's really all about putting people first. Question for both of you, and Paula we'll start with you, and then Jacqui we'll go to you. I think the message in this program that the audience is watching with us is very clear. Analytics is for everyone, should be for everyone. Let's talk now about how both of your organizations are empowering people, those in the organization that may not have technical expertise to be able to leverage data, so that they can actually be data driven. Paula. >> Yes, well, we leverage our platform across all of our business functions here at Alteryx. And just like Jacqui explained, at eBay finance is probably one of the best examples of how we leverage our own platform to improve our business performance. So just like Jacqui mentioned, we have this huge amount of data flowing through our enterprise and the opportunity to leverage that into insights and analytics is really endless. So our CFO Kevin Rubin has been a key sponsor for using our own technology. We use Alteryx for forecasting all of our key performance metrics, for business planning, across our audit function, to help with compliance and regulatory requirements, tax, and even to close our books at the end of each quarter. So it's really going to remain across our business. And at the end of the day, it comes to how do you train users? How do you engage users to lean into this analytic opportunity to discover use cases? And so one of the other things that we've seen many companies do is to gamify that process, to build a game that brings users into the experience for training and to work with each other, to problem solve and along the way, maybe earn badges depending on the capabilities and trainings that they take. And just have a little healthy competition as an employee base around who can become more sophisticated in their analytic capability. So I think there's a lot of different ways to do it. And as Jacqui mentioned, it's really about ensuring that people feel comfortable, that they feel supported, that they have access to the training that they need, and ultimately that they are given both the skills and the confidence to be able to be a part of this great opportunity of analytics. >> That confidence is key. Jacqui, talk about some of the ways that you're empowering folks without that technical expertise to really be data driven. >> Yeah, I think it means to what Paula has said in terms of getting people excited about it, but it's also understanding that this is a journey and everybody is at a different place in their journey. You have folks that's already really advanced who has done this every day. And then you have really some folks that this is brand new or maybe somewhere in between. And it's about how you get everybody in their different phases to get to the initial destination. I say initial, because I believe a journey is never really complete. What we have done is that we decided to invest, and built a proof of concept, and we got our CFO to sponsor a hackathon. We opened it up to everybody in finance in the middle of the pandemic. So everybody was on Zoom and we told people, listen, we're going to teach you this tool, it's super easy, and let's just see what you can do. We ended up having 70 entries. We had only three weeks. So and these are people that do not have a background. They are not engineers, they're not data scientists. And we ended up with a 25,000 hour savings at the end of that hackathon from the 70 entries with people that have never, ever done anything like this before. And there you have the result. And then it just went from there. People had a proof of concept. They knew that it worked and they overcame the initial barrier of change. And that's where we are seeing things really, really picking up now. >> That's fantastic. And the business outcome that you mentioned there, the business impact is massive, helping folks get that confidence to be able to overcome sometimes the cultural barriers is key here. I think another thing that this program has really highlighted is there is a clear demand for data literacy in the job market, regardless of organization. Can each of you share more about how you're empowering the next generation of data workers? Paula, we'll start with you. >> Absolutely, and Jacqui says it so well, which is that it really is a journey that organizations are on and we as people in society are on in terms of upskilling our capabilities. So one of the things that we're doing here at Alteryx to help address this skillset gap on a global level is through a program that we call SparkED, which is essentially a no-cost analytics education program that we take to universities and colleges globally to help build the next generation of data workers. When we talk to our customers like eBay and many others, they say that it's difficult to find the skills that they want when they're hiring people into the job market. And so this program's really developed just to do just that, to close that gap and to work hand in hand with students and educators to improve data literacy for the next generation. So we're just getting started with SparkED. We started last May, but we currently have over 850 educational institutions globally engaged across 47 countries, and we're going to continue to invest here because there's so much opportunity for people, for society and for enterprises, when we close the gap and empower more people with the necessary analytics skills to solve all the problems that data can help solve. >> So SparkED has made a really big impact in such a short time period. It's going to be fun to watch the progress of that. Jacqui, let's go over to you now. Talk about some of the things that eBay is doing to empower the next generation of data workers. >> So we basically wanted to make sure that we kept that momentum from the hackathon, that we don't lose that excitement. So we just launched the program called eBay Masterminds. And what it basically is, is it's an inclusive innovation in each other, where we firmly believe that innovation is for upskilling for all analytics roles. So it doesn't matter your background, doesn't matter which function you are in, come and participate in in this where we really focus on innovation, introducing new technologies and upskilling our people. We are, apart from that, we also said, well, we shouldn't just keep it to inside eBay. We have to share this innovation with the community. So we are actually working on developing an analytics high school program, which we hope to pilot by the end of this year, where we will actually have high schoolers come in and teach them data essentials, the soft skills around analytics, but also how to use Alteryx. And we're working with, actually, we're working with SparkED and they're helping us develop that program. And we really hope that at, say, by the end of the year, we have a pilot and then also next year, we want to roll it out in multiple locations in multiple countries and really, really focus on that whole concept of analytics for all. >> Analytics for all, sounds like Alteryx and eBay have a great synergistic relationship there that is jointly aimed at especially going down the stuff and getting people when they're younger interested, and understanding how they can be empowered with data across any industry. Paula, let's go back to you, you were recently on "theCUBE"'s Supercloud event just a couple of weeks ago. And you talked about the challenges the companies are facing as they're navigating what is by default a multi-cloud world. How does the Alteryx Analytics Cloud platform enable CIOs to democratize analytics across their organization? >> Yes, business leaders and CIOs across all industries are realizing that there just aren't enough data scientists in the world to be able to make sense of the massive amounts of data that are flowing through organizations. Last I checked, there was 2 million data scientists in the world, so that's woefully underrepresented in terms of the opportunity for people to be a part of the analytics solution. So what we're seeing now with CIOs, with business leaders is that they're integrating data analysis and the skillset of data analysis into virtually every job function, and that is what we think of when we think of analytics for all. And so our mission with Alteryx Analytics Cloud is to empower all of those people in every job function, regardless of their skillset, as Jacqui pointed out from people that are just getting started all the way to the most sophisticated of technical users. Every worker across that spectrum can have a meaningful role in the opportunity to unlock the potential of the data for their company and their organizations. So that's our goal with Alteryx Analytics Cloud, and it operates in a multi cloud world and really helps across all sizes of data sets to blend, cleanse, shape, analyze, and report out so that we can break down data silos across the enterprise and help drive real business outcomes as a result of unlocking the potential of data. >> As well as really lessening that skill gap. As you were saying, there's only 2 million data scientists. You don't need to be a data scientist, that's the beauty of what Alteryx is enabling and eBay is a great example of that. Jacqui, let's go ahead and wrap things with you. You talked a great deal about the analytics maturity that you have fostered at eBay. It obviously has the right culture to adapt to that. Can you talk a little bit and take us out here in terms of where Alteryx fits in as that analytics maturity journey continues and what are some of the things that you are most excited about as analytics truly gets democratized across eBay? >> When we're starting up and getting excited about things when it comes to analytics, I can go on all day, but I'll keep it short and sweet for you. I do think we are on the top of the pool of data scientists. And I really feel that that is your next step, for us anyways, is that how do we get folks to not see data scientists as this big thing, like a rocket scientist, it's something completely different. And it's something that is in everybody in a certain extent. So again, partnering with Alteryx who just released the AI ML solution, allowing folks to not have a data scientist program, but actually build models and be able to solve problems that way. So we have engaged with Alteryx and we purchased the licenses, quite a few. And right now through our Masterminds program, we're actually running a four month program for all skill levels, teaching them AI ML and machine learning and how they can build their own models. We are really excited about that. We have over 50 participants without a background from all over the organization. We have members from our customer services. We have even some of our engineers are actually participating in the program. We just kicked it off. And I really believe that that is our next step. I want to give you a quick example of the beauty of this is where we actually just allow people to go out and think about ideas and come up with things. And one of the people in our team who doesn't have a data scientist background at all, was able to develop a solution where there is a checkout feedback functionality on the eBay side where sellers or buyers can verbatim add information. And she built a model to be able to determine what relates to tax specific, what is the type of problem, and even predict how that problem can be solved before we as a human even step in, and now instead of us or somebody going to verbatim and try to figure out what's going on there, we can focus on fixing the error versus actually just reading through things and not adding any value, and it's a beautiful tool and I was very impressed when I saw the demo and definitely developing that sort of thing. >> That sounds fantastic. And I think just the one word that keeps coming to mind, and we've said this a number of times in the program today is empowerment. What you're actually really doing to truly empower people across the organization with varying degrees of skill level, going down to the high school level, really exciting. We'll have to stay tuned to see what some of the great things are that come from this continued partnership. Ladies, I want to thank you so much for joining me on the program today and talking about how Alteryx and eBay are really partnering together to democratize analytics and to facilitate its maturity. It's been great talking to you. >> Thank you, Lisa. >> Thank you so much. (cheerful electronic music) >> As you heard over the course of our program, organizations where more people are using analytics who have deeper capabilities in each of the four Es, that's everyone, everything, everywhere, and easy analytics, those organizations achieve more ROI from their respective investments in analytics and automation than those who don't. We also heard a great story from eBay, great example of an enterprise that is truly democratizing analytics across its organization. It's enabling and empowering line of business users to use analytics, not only focused on key aspects of their job, but develop new skills rather than doing the same repetitive tasks. We want to thank you so much for watching the program today. Remember you can find all of the content on thecube.net. You can find all of the news from today on siliconangle.com and of course alteryx.com. We also want to thank Alteryx for making this program possible and for sponsoring "theCUBE". For all of my guests, I'm Lisa Martin. We want to thank you for watching and bye for now. (upbeat music)

Published Date : Sep 10 2022

SUMMARY :

in the next 12 to 18 months. Excited to talk with you. over the next 12 to 18 months, And it looks like from the info brief and the world is changing data. that the info brief uncovered with respect So for example, on the people side, in the data and analytics and the answer, that'll be able to. just so we get that clean Thank you for that. that the info brief uncovered as compared to the technology itself. So overall, the enterprises to be aware of at the outset? is that the people aspect of analytics If we could do the same, Lisa, Here, I'm going to give us a little break. to the data and analytics and really maximize the investments And the data from this survey shows this And it's expected to spend more and plan to invest accordingly, that can snap to and the great nuggets in there. Alteryx is going to join me. that data analytics is for the few, Alan, it's great to that being data driven is very important. And really the first step the lines of business and more skills to really keep of the leading sports teams. between the domains industry to industry. to be compared to the same is that the majority of them said So faster, able to So across really all of the is to be able to outperform that is E enabled, that's the challenge. and mature to be competitive, around the globe to teach finance and the ROI, the speed, that they had to run to comply And also the business of the employees, and they of the demanding customer, to see how we can help you the power in it for organizations and Jacqui Van der Leij 1200 hours of wind tunnel testing, to make sense of it all. back to the program. going to start with you. So at the end of the day, one of the 7% of organizations to be centralized until we of the roadblocks to analytics adoption and to get the information if you want it. that the audience is watching and the confidence to be able to be a part to really be data driven. in their different phases to And the business outcome and to work hand in hand Jacqui, let's go over to you now. We have to share this Paula, let's go back to in the opportunity to unlock and eBay is a great example of that. and be able to solve problems that way. that keeps coming to mind, Thank you so much. in each of the four Es,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JacquiPERSON

0.99+

PaulaPERSON

0.99+

Jason KleinPERSON

0.99+

Paula HansenPERSON

0.99+

Lisa MartinPERSON

0.99+

Paula HansenPERSON

0.99+

Alan JacobsonPERSON

0.99+

AlteryxORGANIZATION

0.99+

eBayORGANIZATION

0.99+

JasonPERSON

0.99+

International Institute of AnalyticsORGANIZATION

0.99+

LisaPERSON

0.99+

AlanPERSON

0.99+

Alan JacobsonPERSON

0.99+

60%QUANTITY

0.99+

Kevin RubinPERSON

0.99+

Jacqui Van der Leij GreylingPERSON

0.99+

14QUANTITY

0.99+

International Institute of AnalyticsORGANIZATION

0.99+

10%QUANTITY

0.99+

50 employeesQUANTITY

0.99+

63%QUANTITY

0.99+

93%QUANTITY

0.99+

90%QUANTITY

0.99+

nineQUANTITY

0.99+

75%QUANTITY

0.99+

70 entriesQUANTITY

0.99+

16 yearQUANTITY

0.99+

1200 hoursQUANTITY

0.99+

AWS Heroes Panel feat. Mark Nunnikhoven & Liz Rice | AWS Startup Showcase S2 E4 | Cybersecurity


 

(upbeat music) >> Hello, welcome everyone to "theCUBE" presentation of the AWS Startup Showcase, this is Season Two, Episode Four of the ongoing series covering exciting startups from the AWS ecosystem. Here to talk about Cyber Security. I'm your host John Furrier here joined by two great "CUBE" alumnus, Liz Rice who's the chief open source officer at Isovalent, and Mark Nunnikhoven who's the distinguished cloud strategist at Lacework. Folks, thanks for joining me today. >> Hi. Pleasure. >> You're in the U.K. Mark, welcome back to the U.S, I know you were overseas as well. Thanks for joining in this panel to talk about set the table for the Cybersecurity Showcase. You guys are experts out in the field. Liz we've had many conversations with the rise of open source, and all the innovations coming from out in the open source community. Mark, we've been going and covering the events, looking at all the announcements we're kind of on this next generation security conversation. It's kind of a do over in progress, happening every time we talk security in the cloud, is what people are are talking about. Amazon Web Services had reinforced, which was more of a positive vibe of, Hey, we're all on it together. Let's participate, share information. And they talk about incidents, not breaches. And then, you got Black Hat just happened, and they're like, everyone's getting hacked. It's really interesting as we report that. So, this is a new market that we're in. People are starting to think differently, but still have to solve the same problems. How do you guys see the security in the cloud era unfolding? >> Well, I guess it's always going to be an arms race. Isn't it? Everything that we do to defend cloud workloads, it becomes a new target for the bad guys, so this is never going to end. We're never going to reach a point where everything is completely safe. But I think there's been a lot of really interesting innovations in the last year or two. There's been a ton of work looking into the security of the supply chain. There's been a ton of new tooling that takes advantage of technology that I'm really involved with and very excited about called eBPF. There's been a continuation of this new generation of tooling that can help us observe when security issues are happening, and also prevent malicious activities. >> And it's on to of open source activity. Mark, scale is a big factor now, it's becoming a competitive advantage on one hand. APIs have made the cloud great. Now, you've got APIs being hacked. So, all the goodness of cloud has been great, but now we've got next level scale, it's hard to keep up with everything. And so, you start to see new ways of doing things. What's your take? >> Yeah, it is. And everything that's old is new again. And so, as you start to see data and business workloads move into new areas, you're going to see a cyber crime and security activity move with them. And I love, Liz calling out eBPF and open source efforts because what we've really seen to contrast that sort of positive and negative attitude, is that as more people come to the security table, as more developers, as more executives are aware, and the accessibility of these great open source tools, we're seeing that shift in approach of like, Hey, we know we need to find a balance, so let's figure out where we can have a nice security outcome and still meet our business needs, as opposed to the more, let's say to be polite, traditional security view that you see at some other events where it's like, it's this way or no way. And so, I love to see that positivity and that collaboration happening. >> You know, Liz, this brings up a good point. We were talking at our Super Cloud Event we had here when we were discussing the future of how cloud's emerging. One of the conversations that Adrian Cockcroft brought up, who's now retired from AWS, former with Netflix. Adrian being open source fan as well. He was pointing out that every CIO or CISO will buy an abstraction layer. They love the dream. And vendors sell the dream, so to speak. But the reality it's not a lot of uptake because it's complex, And there's a lot of non-standard things per vendor. Now, we're in an era where people are looking for some standardization, some clean, safe ways to deploy. So, what's the message to CSOs, and CIOs, and CXOs out there around eBPF, things like that, that are emerging? Because it's almost top down, was the old way, now as bottoms up with open source, you're seeing the shift. I mean, it's complete flipping the script of how companies are buying? >> Yeah. I mean, we've seen with the whole cloud native movement, how people are rather than having like ETF standards, we have more of a defacto collaborative, kind of standardization process going on. So, that things like Kubernetes become the defacto standard that we're all using. And then, that's helping enterprises be able to run their workloads in different clouds, potentially in their own data centers as well. We see things like EKS anywhere, which is allowing people to run their workloads in their data center in exactly the same way as they're running it in AWS. That sort of leveling of the playing field, if you like, can help enterprises apply the same tooling, and that's going to always help with security if you can have a consistent approach wherever you are running your workload. >> Well, Liz's take a minute to explain eBPF. The Berkeley packet filtering technology, people know from Trace Dumps and whatnot. It's kind of been around for a while, but what is it specifically? Can you take a minute to explain eBPF, and what does that mean for the customer? >> Yeah. So, you mentioned the packet filtering acronym. And honestly, these days, I tell people to just forget that, because it means so much more for. What eBPF allows you to do now, is to run custom programs inside the kernel. So, we can use that to change the way that the kernel behaves. And because the kernel has visibility over every process that's running across a machine, a virtual machine or a bare metal machine, having security tooling and observability tooling that's written using eBPF and sitting inside the kernel. It has this great perspective and ability to observe and secure what's happening across that entire machine. This is like a step change in the capabilities really of security tooling. And it means we don't have to rely on things like kernel modules, which traditionally people have been quite worried about with good reason. eBPF is- >> From a vulnerability standpoint, you mean, right? From a reliability. >> From a vulnerability standpoint, but even just from the point of view that kernel modules, if they have bugs in them, a bug in the kernel will bring the machine to a halt. And one of the things that's different with eBPF, is eBPF programs go through a verification process that ensures that they're safe to run that, but happens dynamically and ensures that the program cannot crash, will definitely run to completion. All the memory access is safe. It gives us this very sort of reassuring platform to use for building these kernel-based tools. >> And what's the bottom line for the customer and the benefit to the organization? >> I think the bottom line is this new generation of really powerful tools that are very high performance. That have this perspective across the whole set of workloads on a machine. That don't need to rely on things like a CCAR model, which can add to a lot of complexity that was perfectly rational choice for a lot of security tools and observability tools. But if you can use an abstraction that lives in the kernel, things are much more efficient and much easier to deploy. So, I think that's really what that enterprise is gaining, simpler to deploy, easier to manage, lower overhead set of tools. >> That's the dream they want. That's what they want. Mark, this is whether the trade offs that comes up. We were talking about the supercloud, and all kinds. Even at AWS, you're going to have supercloud, but you got super hackers as well. As innovation happens on one side, the hackers are innovating on the other. And you start to see a lot of advances in the lower level, AWS with their Silicon and strategies are continuing to happen and be stronger, faster, cheaper, better down the lower levels at the network lay. All these things are innovating, but this is where the hackers are going too, right? So, it's a double edge sword? >> Yeah, and it always will be. And that's the challenge of technology, is sort of the advancement for one, is an advancement for all. But I think, while Liz hit the technical aspects of the eBPF spot on, what I'm seeing with enterprises, and in general with the market movement, is all of those technical advantages are increasing the confidence in some of this security tooling. So, the long sort of anecdote or warning in security has always been things like intrusion prevention systems where they will look at network traffic and drop things they think bad. Well, for decades, people have always deployed them in detect-only mode. And that's always a horrible conversation to have with the board saying, "Well, I had this tool in place that could have stopped the attack, but I wasn't really confident that it was stable enough to turn on. So, it just warned me that it had happened after the fact." And with the stability and the performance that we're seeing out of things based on technologies like eBPF, we're seeing that confidence increase. So, people are not only deploying this new level of tooling, but they're confident that it's actually providing the security it promised. And that's giving, not necessarily a leg up, but at least that level of parody with that push forward that we're seeing, similar on the attack side. Because attackers are always advancing as well. And I think that confidence and that reliability on the tooling, can't be underestimated because that's really what's pushing things forward for security outcomes. >> Well, one of the things I want get your both perspective on real quick. And you kind of segue into this next set of conversations, is with DevOps success, Dev and Ops, it's kind of done, right? We're all happy. We're seeing DevOps being so now DevSecOps. So, CSOs were like kind of old school. Buy a bunch of tools, we have a vendor. And with cloud native, Liz, you mentioned this earlier, accelerating the developers are even driving the standards more and more. So, shifting left is a security paradigm. So, tooling, Mark, you're on top of this too, it's tooling versus how do I organize my team? What are the processes? How do I keep the CICD pipeline going, higher velocity? How can I keep my app developers programming faster? And as Adrian Cockcroft said, they don't really care about locking, they want to go faster. It's the ops teams that have to deal with everything. So, and now security teams have to deal with the speed and velocity. So, you're seeing a new kind of step function, ratchet game where ops and security teams who are living DevOps, are still having to serve the devs, and the devs need more help here. So, how do you guys see that dynamic in security? Because this is clearly the shift left's, cloud native trend impacting the companies. 'Cause now it's not just shifting left for developers, it has a ripple effect into the organization and the security posture. >> We see a lot of organizations who now have what they would call a platform team. Which is something similar to maybe what would've been an ops team and a security team, where really their role is to provide that platform that developers can use. So, they can concentrate on the business function that they don't have to really think about the underlying infrastructure. Ideally, they're using whatever common definition for their applications. And then, they just roll it out to a cloud somewhere, and they don't have to think about where that's operating. And then, that platform team may have remit that covers, not just the compute, but also the networking, the common set of tooling that allows people to debug their applications, as well as securing them. >> Mark, this is a big discussion because one, I love the team, process collaboration. But where's the team? We've got a skills gap going on too, right? So, in all this, there's a lot of action happening. What's your take on this dynamic of tooling versus process collaboration for security success? >> Yeah, it's tough. And I think what we're starting to see, and you called it out spot on, is that the developers are all about dynamic change and rapid change, and operations, and security tend to like stability, and considered change in advance. And the business needs that needle to be threaded. And what we're seeing is sort of, with these new technologies, and with the ideas of finally moving past multicloud, into, as you guys call supercloud, which I absolutely love is a term. Let's get the advantage of all these things. What we're seeing, is people have a higher demand for the outputs from their tooling, and to find that balance of the process. I think it's acknowledged now that you're not going to have complete security. We've gotten past that, it's not a yes or no binary thing. It's, let's find that balance in risk. So, if we are deploying tooling, whether that's open source, or commercial, or something we built ourselves, what is the output? And who is best to take action on that output? And sometimes that's going to be the developers, because maybe they can just fix their architecture so that it doesn't have a particular issue. Sometimes that's going to be those platform teams saying like, "Hey, this is what we're going to apply for everybody, so that's a baseline standard." But the good news, is that those discussions are happening. And I think people are realizing that it's not a one size-fits-all. 10 years ago was sort of like, "Hey, we've got a blueprint and everyone does this." That doesn't work. And I think that being out in the open, really helps deliver these better outcomes. And because it isn't simple, it's always going to be an ongoing discussion. 'Cause what we decide today, isn't going to be the same thing in a week from now when we're sprint ahead, and we've made a whole bunch of changes on the platform and in our code. >> I think the cultural change is real. And I think this is hard for security because you got so much current action happening that's really important to the business. That's hard to just kind of do a reset without having any collateral damage. So, you kind of got to mitigate and manage all the current situation, and then try to build a blueprint for the future and transform into a kind of the next level. And it kind of reminds me of, I'm dating myself. But back in the days, you had open source was new. And the common enemy was proprietary, non-innovative old guard, kind of mainframe mini computer kind of proprietary analysis, proprietary everything. Here, there is no enemy. The clouds are doing great, right? They're leaning in open source is at all time high and not stopping, it's it's now standard. So, open is not a rebel. It's not the rebel anymore, it's the standard. So, you have the innovation happening in open source, Liz, and now you have large scale cloud. And this is a cultural shift, right? How people are buying, evaluating product, and implementing solutions. And I when I say new, I mean like new within the decades or a couple decades. And it's not like open source is not been around. But like we're seeing new things emerge that are pretty super cool in the sense that you have projects defining standards, new things are emerging. So, the CIO decision making process on how to structure teams and how to tackle security is changing. Why IT department? I mean, just have a security department and a Dev team. >> I think the fact that we are using so much more open source software is a big part of this cultural shift where there are still a huge ecosystem of vendors involved in security tools and observability tools. And Mark and I both represent vendors in those spaces. But the rise of open source tools, means that you can start with something pretty powerful that you can grow with. As you are experimenting with the security tooling that works for you, you don't have to pay a giant sum to get a sort of black box. You can actually understand the open source elements of the tooling that you are going to use. And then build on that and get the enterprise features when you need those. And I think that cultural change makes it much easier for people to work security in from the get go, and really, do that shift left that we've been talking about for the last few years. >> And I think one of the things to your point, and not only can you figure out what's in the open source code, and then build on top of it, you can also leave it too. You can go to something better, faster. So, the switching costs are a lot lower than a lock in from a vendor, where you do all the big POCs and the pilots. And, Mark, this is changing the game. I mean, I would just be bold enough to say, IT is going to be irrelevant in the sense of, if you got DevOps and it works, and you got security teams, do you really need IT 'cause the DevOps is the IT? So, if everyone goes to the cloud operations, what does IT even mean? >> Yeah, and it's a very valid point. And I think what we're seeing, is where IT is still being successful, especially in large companies, is sort of the economy of scale. If you have enough of the small teams doing the same thing, it makes sense to maybe take one tool and scale it up because you've got 20 teams that are using it. So, instead of having 20 teams run it, you get one team to run it. On the economic side, you can negotiate one contract if it's a purchase tool. There is still a place for it, but I think what we're seeing and in a very positive way, is that smaller works better when it comes to this. Because really what the cloud has done and what open source continues to do, is reduce the barrier to entry. So, a team of 10 people can build something that it took a 1000 people, a decade ago. And that's wonderful. And that opens up all these new possibilities. We can work faster. But we do need to rethink it at reinforce from AWS. They had a great track about how they're approaching it from people side of things with their security champion's idea. And it's exactly about this, is embedding high end security talent in the teams who are building it. So, that changes the central role, and the central people get called in for big things like an incident response, right? Or a massive auditor reviews. But the day-to-day work is being done in context. And I think that's the real key, is they've got the context to make smarter security decisions, just like the developers and the operational work is better done by the people who are actually working on the thing, as opposed to somebody else. Because that centralized thing, it's just communication overhead most of the time. >> Yeah. I love chatting with you guys because here's are so much experts on the field. To put my positive hat on around IT, remember the old argument of, "Oh, automation's, technology's going to kill the bank teller." There's actually more tellers now than ever before. So, the ATM machine didn't kill that. So, I think IT will probably reform from a human resource perspective. And I think this is kind of where the CSO conversation comes full circle, Liz and Mark, because, okay, let's assume that this continues the trajectory to open source, DevOps, cloud scale, hybrid. It's a refactoring of personnel. So, you're going to have DevOps driving everything. So, now the IT team becomes a team. So, most CSOs we talk to are CXOs, is how do I deploy my teams? How do I structure things, my investment in people, and machines and software in a way that I get my return? At the end of the day, that's what they live for, and do it securely. So, this is the CISO's kind of thought process. How do you guys react to that? What's the message to CISOs? 'Cause they have a lot of companies to look at here. And in the marketplace, they got to spend some money, they got to get a return, they got to reconfigure. What's your advice? Liz, what's your take? Then we'll go to Mark. >> That's a really great question. I think cloud skills, cloud engineering skills, cloud security skills have never been more highly valued. And I think investing in training people to understand cloud that there are tons of really great resources out there to help ramp people up on these skills. The CNCF, AWS, there's tons of organizations who have really great courses and exams, and things that people can do to really level up their skills, which is fantastic right from a grassroots level, through to the most widely deployed global enterprise. I think we're seeing a lot of people are very excited, develop these skills. >> Mark, what's your take for the CSO, the CXO out there? They're scratching their head, they're going, "Okay, I need to invest. DevOps is happening. I see the open source, I'm now got to change over. Yeah, I lift and shift some stuff, now I got to refactor my business or I'm dead." What's your advice? >> I think the key is longer term thinking. So, I think where people fell down previously, was, okay, I've got money, I can buy tools, roll 'em out. Every tool you roll out, has not just an economic cost, but a people cost. As Liz said, those people with those skills are in high demand. And so, you want to make sure that you're getting the most value out of your people, but your tooling. So, as you're investing in your people, you will need to roll out tools. But they're not the answer. The answer is the people to get the value out of the tools. So, hold your tools to a higher standard, whether that's commercial, open source, or something from the CSP, to make sure that you're getting actionable insights and value out of them that your people can actually use to move forward. And it's that balance between the two. But I love the fact that we're finally rotating back to focus more on the people. Because really, at the end of the day, that's what's going to make it all work. >> Yeah. The hybrid work, people processes. The key, the supercloud brings up the conversation of where we're starting to see maturation into OPEX models where CapEx is a gift from the clouds. But it's not the end of bilk. Companies are still responsible for their own security. At the end of the day, you can't lean on AWS or Azure. They have infrastructure and software, but at the end of the day, every company has to maintain their own. Certainly, with hybrid and edge coming, it's here. So, this whole concept of IT, CXO, CIO, CSO, CSO, I mean, this is hotter than ever in terms of like real change. What's your reaction to that? >> I was just reading this morning that the cost of ensuring against data breaches is getting dramatically more expensive. So, organizations are going to have to take steps to implement security. You can't just sort of throw money at the problem, you're going to actually have to throw people and technology at the problem, and take security really seriously. There is this whole ecosystem of companies and folks who are really excited about security and here to help. There's a lot of people interested in having that conversation to help those CSOs secure their deployments. >> Mark, your reaction? >> Yeah. I think, anything that causes us to question what we're doing is always a positive thing. And I think everything you brought up really comes down to remembering that no matter what, and no matter where, your data is always your data. And so, you have some level of responsibility, and that just changes depending on what system you're using. And I think that's really shifting, especially in the CSO or the CSO mindset, to go back to the basics where it used to be information security and not just cyber security. So, whether that information and that data is sitting on my desk physically, in a system in our data center, or in the cloud somewhere. Looking holistically, and that's why we could keep coming back to people. That's what it's all about. And when you step back there, you start to realize there's a lot more trade offs. There's a lot more levers that you can work on, to deliver the outcome you want, to find that balance that works for you. 'Cause at the end of the day, security is just all about making sure that whatever you built and the systems you're working with, do what you want them to do, and only what you want them to do. >> Well, Liz and Mark, thank you so much for your expert perspective. You're in the trenches, and really appreciate your time and contributing with "theCUBE," and being part of our Showcase. For the last couple of minutes, let's dig into some of the things you're working on. I know network policies around Kubernetes, Liz, EKS anywhere has been fabulous with Lambda and Serverless, you seeing some cool things go on there. Mark, you're at Lacework, very successful company. And looking at a large scale observability, signaling and management, all kinds of cool things around native cloud services and microservices. Liz, give us an update. What's going on over there at Isovalent? >> Yeah. So, Isovalent is the company behind Cilium Networking Project. Its best known as a Kubernetes networking plugin. But we've seen huge amount of adoption of cilium, it's really skyrocketed since we became an incubating project in the CNCF. And now, we are extending to using eBPF to not just do networking, but incredibly in depth observability and security observability have a new sub project called Tetragon, that gives you this amazing ability to see out of policy behavior. And again, because it's using eBPF, we've got the perspective of everything that's happening across the whole machine. So, I'm really excited about the innovations that are happening here. >> Well, they're lucky to have you. You've been a great contributor to the community. We've been following your career for very, very long time. And thanks for everything that you do, really appreciate it. Thanks. >> Thank you. >> Mark, Lacework, we we've following you guys. What are you up to these days? You know, we see you're on Twitter, you're very prolific. You're also live tweeting all the events, and with us as well. What's going on over there at Lacework? And what's going on in your world? >> Yeah. Lacework, we're still focusing on the customer, helping deliver good outcomes across cloud when it comes to security. Really looking at their environments and helping them understand, from their data that they're generating off their systems, and from the cloud usage as to what's actually happening. And that pairs directly into the work that I'm doing, the community looking at just security as a practice. So, a lot of that pulling people out of the technology, and looking at the process and saying, "Hey, we have this tech for a reason." So, that people understand what they need in place from a skill set, to take advantage of the great work that folks like Liz and the community are doing. 'Cause we've got these great tools, they're outputting all this great insights. You need to be able to take actions on top of that. So, it's always exciting. More people come into security with a security mindset, love it. >> Well, thanks so much for this great conversation. Every board should watch this video, every CSO, CIO, CSO. Great conversation, thanks for unpacking and making something very difficult, clear to understand. Thanks for your time. >> Pleasure. >> Thank you. >> Okay, this is the AWS Startup Showcase, Season Two, Episode Four of the ongoing series covering the exciting startups from the AWS ecosystem. We're talking about cybersecurity, this segment. Every quarter episode, we do a segment around a category and we go deep, we feature some companies, and talk to the best people in the industry to help you understand that. I'm John Furrier your host. Thanks for watching. (upbeat music)

Published Date : Sep 7 2022

SUMMARY :

of the ongoing series and covering the events, it becomes a new target for the bad guys, So, all the goodness of and the accessibility of I mean, it's complete flipping the script and that's going to minute to explain eBPF. And because the kernel has you mean, right? bring the machine to a halt. that lives in the kernel, advances in the lower level, and that reliability on the and the security posture. and they don't have to think I love the team, process collaboration. is that the developers are But back in the days, you of the tooling that you are going to use. the things to your point, is reduce the barrier to entry. What's the message to CISOs? And I think investing in training people I see the open source, I'm And it's that balance between the two. At the end of the day, you morning that the cost of ensuring especially in the CSO or the CSO mindset, You're in the trenches, and that's happening across the whole machine. And thanks for everything that and with us as well. and from the cloud usage as clear to understand. of the ongoing series

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
MarkPERSON

0.99+

John FurrierPERSON

0.99+

Adrian CockcroftPERSON

0.99+

Liz RicePERSON

0.99+

Mark NunnikhovenPERSON

0.99+

LizPERSON

0.99+

Amazon Web ServicesORGANIZATION

0.99+

20 teamsQUANTITY

0.99+

LaceworkORGANIZATION

0.99+

AWSORGANIZATION

0.99+

IsovalentORGANIZATION

0.99+

20 teamsQUANTITY

0.99+

AdrianPERSON

0.99+

one teamQUANTITY

0.99+

eBPFTITLE

0.99+

U.K.LOCATION

0.99+

twoQUANTITY

0.99+

NetflixORGANIZATION

0.99+

U.SLOCATION

0.99+

1000 peopleQUANTITY

0.99+

one toolQUANTITY

0.99+

supercloudORGANIZATION

0.99+

CNCFORGANIZATION

0.99+

10 peopleQUANTITY

0.98+

todayDATE

0.98+

one contractQUANTITY

0.98+

10 years agoDATE

0.98+

bothQUANTITY

0.98+

last yearDATE

0.98+

oneQUANTITY

0.97+

OneQUANTITY

0.96+

multicloudORGANIZATION

0.96+

TetragonTITLE

0.96+

one sideQUANTITY

0.95+

DevOpsTITLE

0.95+

DevSecOpsTITLE

0.93+

a decade agoDATE

0.93+

Season TwoQUANTITY

0.92+

Cilium Networking ProjectORGANIZATION

0.91+

CapExORGANIZATION

0.9+

Startup ShowcaseEVENT

0.89+

Super Cloud EventEVENT

0.89+

*****NEEDS TO STAY UNLISTED FOR REVIEW***** Ricky Cooper & Joseph George | VMware Explore 2022


 

(light corporate music) >> Welcome back, everyone, to VMware Explore 22. I'm John Furrier, host of theCUBE with Dave Vellante. Our 12th year covering VMware's User Conference, formerly known as VMworld, now rebranded as VMware Explore. Two great cube alumnus coming down the cube. Ricky Cooper, SVP, Worldwide Partner Commercials VMware, great to see you. Thanks for coming on. >> Thank you. >> We just had a great chat- >> Good to see you again. >> With the Discovery and, of course, Joseph George, vice president of Compute Industry Alliances. Great to have you on. Great to see you. >> Great to see you, John. >> So guys this year is very curious in VMware. A lot goin' on, the name change, the event. Big, big move. Bold move. And then they changed the name of the event. Then Broadcom buys them. A lot of speculation, but at the end of the day, this conference kind of, people were wondering what would be the barometer of the event. We're reporting this morning on the keynote analysis. Very good mojo in the keynote. Very transparent about the Broadcom relationship. The expo floor last night was buzzing. >> Mhm. >> I mean, this is not a show that's lookin' like it's going to be, ya' know, going down. >> Yeah. >> This is clearly a wave. We're calling it Super Cloud. Multi-Cloud's their theme. Clearly the cloud's happenin'. We not to date ourselves, but 2013 we were discussing on theCUBE- >> We talked about that. Yeah. Yeah. >> Discover about DevOps infrastructure as code- >> Mhm. >> We're full realization now of that. >> Yep. >> This is where we're at. You guys had a great partnership with VMware and HPE. Talk about where you guys see this coming together because customers are refactoring. They are lookin' at Cloud Native. The whole Broadcom visibility to the VMware customer bases activated them. They're here and they're leaning in. >> Yeah. >> What's going on? >> Yeah. Absolutely. We're seeing a renewed interest now as customers are looking at their entire infrastructure, bottoms up, all the way up the stack, and the notion of a hybrid cloud, where you've got some visibility and control of your data and your infrastructure and your applications, customers want to live in that sort of a cloud environment and so we're seeing a renewed interest. A lot of conversations we're having with customers now, a lot of customers committing to that model where they have applications and workloads running at the Edge, in their data center, and in the public cloud in a lot of cases, but having that mobility, having that control, being able to have security in their own, you know, in their control. There's a lot that you can do there and, obviously, partnering with VMware. We've been partners for so long. >> 20 years about. Yeah. Yeah. >> Yeah. At least 20 years, back when they invented stuff, they were inventing way- >> Yeah. Yeah. Yeah. >> VMware's got a very technical culture, but Ricky, I got to say that, you know, we commented earlier when Raghu was on, the CEO, now CEO, I mean, legendary product. I sent the trajectory to VMware. Everyone knows that. VMware, I can't know whether to tell it was VMware or HP, HP before HPE, coined hybrid- >> Yeah. >> 'Cause you guys were both on. I can't recall, Dave, which company coined it first, but it was either one of you guys. Nobody else was there. >> It was the partnership. >> Yes. I- (cross talking) >> They had a big thing with Pat Gelsinger. Dave, remember when he said, you know, he got in my grill on theCUBE live? But now you see- >> But if you focus on that Multi-Cloud aspect, right? So you've got a situation where our customers are looking at Multi-Cloud and they're looking at it not just as a flash in the pan. This is here for five years, 10 years, 20 years. Okay. So what does that mean then to our partners and to our distributors? You're seeing a whole seed change. You're seeing partners now looking at this. So, look at the OEMs, you know, the ones that have historically been vSphere customers are now saying, they're coming in droves saying, okay, what is the next step? Well, how can I be a Multi-Cloud partner with you? >> Yep. Right. >> How can I look at other aspects that we're driving here together? So, you know, GreenLake is a great example. We keep going back to GreenLake and we are partaking in GreenLake at the moment. The real big thing for us is going to be, right, let's make sure that we've got the agreements in place that support this SaaS and subscription motion going forward and then the sky's the limit for us. >> You're pluggin' that right into GreenLake, right? >> Well, here's why. Here's why. So customers are loving the fact that they can go to a public cloud and they can get an SLA. They come to a, you know, an On-Premise. You've got the hardware, you've got the software, you've got the, you know, the guys on board to maintain this through its life cycle. >> Right. I mean, this is complicated stuff. >> Yeah. >> Now we've got a situation where you can say, hey, we can get an SLA On-Premise. >> Yeah. And I think what you're seeing is it's very analogous to having a financial advisor just manage your portfolio. You're taking care of just submitting money. That's really a lot of what the customers have done with the public cloud, but now, a lot of these customers are getting savvy and they have been working with VMware Technologies and HPE for so long. They've got expertise. They know how they want their workloads architected. Now, we've given them a model where they can leverage the Cloud platform to be able to do this, whether it's On-Premise, The Edge, or in the public cloud, leveraging HPE GreenLake and VMware. >> Is it predominantly or exclusively a managed service or do you find some customers saying, hey, we want to manage ourself? How, what are you seeing is the mix there? >> It is not predominantly managed services right now. We're actually, as we are growing, last time we talked to HPE Discover we talked about a whole bunch of new services that we've added to our catalog. It's growing by leaps and bounds. A lot of folks are definitely interested in the pay as you go, obviously, the financial model, but are now getting exposed to all the other management that can happen. There are managed services capabilities, but actually running it as a service with your systems On-Prem is a phenomenal idea for all these customers and they're opening their eyes to some new ways to service their customers better. >> And another phenomenon we're seeing there is where partners, such as HPA, using other partners for various areas of their services implementation as well. So that's another phenomenon, you know? You're seeing the resale motion now going into a lot more of the services motion. >> It's interesting too, you know, I mean, the digital modernization that's goin' on. The transformation, whatever you want to call it, is complicated. >> Yeah. >> That's clear. One of the things I liked about the keynote today was the concept of cloud chaos. >> Yeah. >> Because we've been saying, you know, quoting Andy Grove at Intel, "Let chaos rain and rain in the chaos." >> Mhm. >> And when you have inflection points, complexity, which is the chaos, needs to be solved and whoever solves it kicks the inflection point, that's up into the right. So- >> Prime idea right here. Yeah. >> So GreenLake is- >> Well, also look at the distribution model and how that's changed. A couple of points on a deal. Now they're saying, "I'll be your aggregator. I'll take the strain and I'll give you scale." You know? "I'll give you VMware Scale for all, you know, for all of the various different partners, et cetera." >> Yeah. So let's break this down because this is, I think, a key point. So complexity is good, but the old model in the Enterprise market was- >> Sure. >> You solve complexity with more complexity. >> Yeah. >> And everybody wins. Oh, yeah! We're locked in! That's not what the market wants. They want some self-service. They want, as a service, they want easy. Developer first security data ops, DevOps, is already in the cycle, so they're going to want simpler. >> Yeah. >> Easier. Faster. >> And this is kind of why I'll say, for the big announcement today here at VMware Explore, around the VMware vSphere Distributed Services Engine, Project Monterey- >> Yeah. >> That we've talked about for so long, HPE and VMware and AMD, with the Pensando DPU, actually work together to engineer a solution for exactly that. The capabilities are fairly straightforward in terms of the technologies, but actually doing the work to do integration, joint engineering, make sure that this is simple and easy and able to be running HPE GreenLake, that's- >> That's invested in Pensando, right? >> We are. >> We're all investors. Yeah. >> What's the benefit of that? What's, that's a great point you made. What's the value to the customer, bottom line? That deep co-engineering, co-partnering, what does it deliver that others don't do? >> Yeah. Well, I think one example would be, you know, a lot of vendors can say we support it. >> Yep. >> That's great. That's actually a really good move, supporting it. It can be resold. That's another great move. I'm not mechanically inclined to where I would go build my own car. I'll go to a dealership and actually buy one that I can press the button and I can start it and I can do what I need to do with my car and that's really what this does is the engineering work that's gone on between our two companies and AMD Pensando, as well as the business work to make that simple and easy, that transaction to work, and then to be able to make it available as a service, is really what made, it's, that's why it's such a winner winner with our- >> But it's also a lower cost out of the box. >> Yep. >> Right. >> So you get in whatever. Let's call it 20%. Okay? But there's, it's nuanced because you're also on a new technology curve- >> Right. >> And you're able to absorb modern apps, like, you know, we use that term as a bromide, but when I say modern apps, I mean data-rich apps, you know, things that are more AI-driven not the conventional, not that people aren't doing, you know, SAP and CRM, they are, but there's a whole slew of new apps that are coming in that, you know, traditional architectures aren't well-suited to handle from a price performance standpoint. This changes that doesn't it? >> Well, you think also of, you know, going to the next stage, which is to go to market between the two organizations that before. At the moment, you know, HPE's running off doing various different things. We were running off to it again, it's that chaos that you're talking about. In cloud chaos, you got to go to market chaos. >> Yeah. >> But by simplifying four or five things, what are we going to do really well together? How do we embed those in GreenLake- >> Mhm. >> And be known in the marketplace for these solutions? Then you get a, you know, an organization that's really behind the go to market. You can help with sales activation the enablement, you know, and then we benefit from the scale of HPE. >> Yeah. >> What are those solutions I mean? Is it just, is it I.S.? Is it, you know, compute storage? >> Yeah. >> Is it, you know, specific, you know, SAP? Is it VDI? What are you seeing out there? >> So right now, for this specific technology, we're educating our customers on what that could be and, at its core, this solution allows customers to take services that normally and traditionally run on the compute system and run on a DPU now with Project Monterey, and this is now allowing customers to think about, okay, where are their use cases. So I'm, rather than going and, say, use it for this, we're allowing our customers to explore and say, okay, here's where it makes sense. Where do I have workloads that are using a lot of compute cycles on services at the compute level that could be somewhere else like networking as a great example, right? And allowing more of those compute cycles to be available. So where there are performance requirements for an application, where there is timely response that's needed for, you know, for results to be able to take action on, to be able to get insight from data really quick, those are places where we're starting to see those services moving onto something like a DPU and that's where this makes a whole lot more sense. >> Okay. So, to get this right, you got the hybrid cloud, right? >> [Ricky And Joseph] Yes. >> You got GreenLake and you got the distributed engine. What's that called the- >> For, it's HPE ProLiant- >> ProLiant with- >> The VMware- >> With vSphere. >> That's the compute- >> Distributed. >> Okay. So does the customer, how do you guys implement that with the customer? All three at the same time or they mix and match? What's that? How does that work? >> All three of those components. Yeah. So the beauty of the HP ProLiant with VMware vSphere-distributed services engine- >> Mhm. >> Also known as Project Monterey for those that are keeping notes at home- >> Mhm. >> It's, again, already pre-engineered. So we've already worked through all the mechanics of how you would have to do this. So it's not something you have to go figure out how you build, get deployment, you know, work through those details. That's already done. It is available through HPE GreenLake. So you can go and actually get it as a service in partnership with our customer, our friends here at VMware, and because, if you're familiar and comfortable with all the things that HP ProLiant has done from a security perspective, from a reliability perspective, trusted supply chain, all those sorts of things, you're getting all of that with this particular (indistinct). >> Sumit Dhawan had a great quote on theCUBE just an hour or so ago. He said you have to be early to be first. >> Yeah. (laughing) >> I love that quote. Okay. So you were- >> I fought the urge. >> You were first. You were probably a little early, but do you have a lead? I know you're going to say yes, okay. Let's just- >> Okay. >> Let's just assume that. >> Okay. Yeah. >> Relative to the competition, how do you know? How do you determine that? >> If we have a lead or not? >> Yeah. If you lead. If you're the best. >> We go to the source of the truth which is our customers. >> And what do they tell you? What do you look at and say, okay, now, I mean, when you have that honest conversation and say, okay, we are, we're first, we're early. We're keeping our lead. What are the things that you- >> I'll say it this way. I'll say it this way. We've been in a lot of businesses where there, where we do compete head-to-head in a lot of places. >> Mhm. >> And we know how that sales process normally works. We're seeing a different motion from our customers. When we talk about HPE GreenLake, there's not a lot of back and forth on, okay, well, let me go shop around. It is HP Green. Let's talk about how we actually build this solution. >> And I can tell you, from a VMware perspective, our customers are asking us for this the other way around. So that's a great sign is that, hey, we need to see this partnership come together in GreenLake. >> Yeah. >> It's the old adage that Amazon used to coin and Andy Jassy, you know, they do the undifferentiated heavy lifting. >> [Ricky And Joseph] Yeah. >> A lot of that's now Cloud operations. >> Mhm. >> Underneath it is infrastructure's code to the developer. >> That's right. >> That's at scale. >> That's right. >> And so you got a lot of heavy lifting being done with GreenLake- >> Right. >> Which is why there's no objections probably. >> Right. >> What's the choice? What are you going to shop? >> Yeah. >> There's nothing to shop around. >> Yeah, exactly. And then we've got, you know, that is really icing on the cake that we've, you know, that we've been building for quite some time and there is an understanding in the market that what we do with our infrastructure is hardened from a reliability and quality perspective. Like, times are tough right now. Supply chain issues, all that stuff. We've talked, all talked about it, but at HPE, we don't skimp on quality. We're going to spend the dollars and time on making sure we got reliability and security built in. It's really important to us. >> We had a great use case. The storage team, they were provisioning with containers. >> Yes. >> Storage is a service instantly we're seeing with you guys with VMware. Your customers' bringing in a lot of that into the mix as well. I got to ask 'cause every event we talk about AI and machine learning- >> Mhm. >> Automation and DevOps are now infiltrating in with the CICD pipeline. Security and data become a big conversation. >> [Ricky And Joseph] Agreed. >> Okay. So how do you guys look at that? Okay. You sold me on Green. Like, I've been a big fan from day one. Now, it's got maturity on it. I know it's going to get a lot more headroom to do. There's still a lot of work to do, but directionally it's pretty accurate, you know? It's going to be a success. There's still concern about security, the data layer. That's agnostic of environment, private cloud, hybrid, public, and Edge. So that's important and security- >> Great. >> Has got a huge service area. >> Yeah. >> These are on working progress. >> Yeah. Yeah. >> How do you guys view those? >> I think you've just hit the net on the head. I mean, I was in the press and journalist meetings yesterday and our answer was exactly the same. There is still so much work that can be done here and, you know, I don't think anybody is really emerging as a true leader. It's just a continuation of, you know, tryin' to get that right because it is what is the most important thing to our customers. >> Right. >> And the industry is really sort of catching up to that. >> And, you know, when you start talking about privacy and when you, it's not just about company information. It's about individuals' information. It's about, you know, information that, if exposed, actually could have real impact on people. >> Mhm. >> So it's more than just an I.T. problem. It is actually, and from HPE's perspective, security starts from when we're picking our suppliers for our components. Like, there are processes that we put into our entire trusted supply chain from the factory on the way up. I liken it to my golf swing. My golf swing. I slice right like you wouldn't believe. (John laughing) But when I go to the golf pros, they start me back at the mechanics, the foundational pieces. Here's where the problems are and start workin' on that. So my view is, our view is, if your infrastructure is not secure, you're goin' to have troubles with security as you go further up. >> Stay in the sandbox. >> Yeah. >> Yeah. So to speak, you know, they're driving range on the golf analogy there. I love that. Talk about supply chain security real quick because you mentioned supply chain on the hardware side. You're seeing a lot of open source and supply chain in software, trusted software. >> Yep. >> How does GreenLake look at that? How do you guys view that piece of it? That's an important part. >> Yeah. Security is one of the key pillars that we're actually driving as a company right now. As I said, it's important to our customers as they're making purchasing decisions and we're looking at it from the infrastructure all the way up to the actual service itself and that's the beauty of having something like HPE GreenLake. We don't have to pick, is the infrastructure or the middle where, or the top of stack application- >> It's (indistinct), right? >> It's all of it. >> Yeah. >> It's all of it. That matters. >> Quick question on the ecosystem posture. So- >> Sure. >> I remember when HP was, you know, one company and then the GSIs were a little weird with HP because of EDS, you know? You had data protector so we weren't really chatting up Veeam at the time, right? And as soon as the split happened, ecosystem exploded. Now you have a situation where you, Broadcom, is acquiring VMware. You guys, big Broadcom customer. Has your attitude changed or has it not because, oh, we meet with the customers already. Well, you've always said that, but have you have leaned in more? I mean, culturally, is HPE now saying, hmm, now we have some real opportunities to partner in new ways that we don't have to sleep with one eye open, maybe. (John laughing) >> So first of all, VMware and HPE, we've got a variety of different partners. We always have. >> Mhm. >> Well before any Broadcom announcement came along. >> Yeah, sure. >> We've been working with a variety of partners. >> And that hasn't changed. >> And that hasn't changed. And, if your question is, has our posture toward VMware changed at all, the answer's absolutely not. We believe in what VMware is doing. We believe in what our customers are doing with VMware and we're going to continue to work with VMware and partner with the (indistinct). >> And of course, you know, we had to spin out ourselves in November of last year, which I worked on, you know, the whole Dell thing. >> Yeah. We still had the same chairman. >> Yeah. There- (Dave chuckling) >> Yeah, but since then, I think what's really become very apparent and not, it's not just with HPE, but with many of our partners, many of the OEM partners, the opportunity in front of us is vast and we need to rely on each other to help us as, you know, solve the customer problems that are out there. So there's a willingness to overlook some things that, in the past, may have been, you know, barriers. >> But it's important to note also that it's not that we have not had history- >> Yeah. >> Right? Over, we've got over 200,000 customers join- >> Hundreds of millions of dollars of business- >> 100,000, over 10,000, or 100,000 channel partners that we all have in common. >> Yeah. Yeah. >> Yep. >> There's numerous- >> And independent of the whole Broadcom overhang there. >> Yeah. >> There's the ecosystem floor. >> Yeah. >> The expo floor. >> Right. >> I mean, it's vibrant. I mean, there's clearly a wave coming, Ricky. We talked about this briefly at HPE Discover. I want to get an update from your perspectives, both of you, if you don't mind weighing in on this. Clearly, the wave, we're calling it the Super Cloud, 'cause it's not just Multi-Cloud. It's completely different looking successes- >> Smart Cloud. >> It's not just vendors. It's also the customers turning into clouds themselves. You look at Goldman Sachs and- >> Yep. >> You know, I think every vertical will have its own power law of Cloud players in the future. We believe that to be true. We're still testing that assumption, but it's trending in when you got OPEX- >> [Ricky And Joseph] Right. >> Has to go to in-fund statement- >> Yeah. >> CapEx goes too. Thanks for the Cloud. All that's good, but there's a wave coming- >> Yeah. >> And we're trying to identify it. What do you guys see as this wave 'cause beyond Multi-Cloud and the obvious nature of that will end up happening as a state and what happens beyond that interoperability piece, that's a whole other story, and that's what everyone's fighting for, but everyone out in that ecosystem, it's a big wave coming. They've got their surfboards. They're ready to go. So what do you guys see? What is the next wave that everyone's jacked up about here? >> Well, I think that the Multi-Cloud is obviously at the epicenter. You know, if you look at the results that are coming in, a lot of our customers, this is what's leading the discussion and now we're in a position where, you know, we've brought many companies over the last few years. They're starting to come to fruition. They're starting to play a role in, you know, how we're moving forward. >> Yeah. >> Some of those are a bit more applicable to the commercial space. We're finding commercial customers that never bought from us before. Never. Hundreds and hundreds are coming through our partner networks every single quarter, you know? So brand new to VMware. The trick then is how do you nurture them? How do you encourage them? >> So new logos are comin' in. >> New logos are coming in all the time, all the time, from, you know, from across the ecosystem. It's not just the OEMs. It's all the way back- >> So the ecosystem's back of VMware. >> Unbelievably. So what are we doing to help that? There's two big things that we've announced in the recent weeks is that Partner Connect 2.0. When I talked to you about Multi-Cloud and what the (indistinct), you know, the customers are doing, you see that trend. Four, five different separate clouds that we've got here. The next piece is that they're changing their business models with the partners. Their services is becoming more and more apparent, et cetera, you know? And the use of other partners to do other services, deployment, or this stuff is becoming prevalent. Then you've got the distributors that I talked about with their, you know, their, then you route to market, then you route to business. So how do you encapsulate all of that and ensure your rewarding partners on all aspects of that? Whether it's deployment, whether it's test and depth, it's a points-based system we've put in place now- >> It's a big pie that's developing. The market's getting bigger. >> It's getting so much bigger. And then you help- >> I know you agree, obviously, with that. >> Yeah. Absolutely. In fact, I think for a long time we were asking the question of, is it going to be there or is it going to be here? Which was the wrong question. (indistinct cross talking) Now it's everything. >> Yeah. >> And what I think that, what we're seeing in the ecosystem, is that people are finding the spots that, where they're going to play. Am I going to be on the Edge? >> Yeah. >> Am I going to be on Analytics Play? Am I going to be, you know, Cloud Transition Play? There's a lot of players are now emerging and saying, we're- >> Yeah. >> We're, we now have a place, a part to play. And having that industry view not just of, you know, a commercial customer at that level, but the two of us are lookin' at Teleco, are looking at financial services, at healthcare, at manufacturing. How do these new ecosystem players fit into the- >> (indistinct) lifting. Everyone can see their position there. >> Right. >> We're now being asked for simplicity and talk to me about partner profitability. >> Yes. >> How do I know where to focus my efforts? Am I spread too thin? And, you know, that's, and my advice that the partner ecosystem out there is, hey, let's pick out spots together. Let's really go to, and then strategic solutions that we were talking about is a good example of that. >> Yeah. >> Sounds like composability to me, but not to go back- (laughing) Guys, thanks for comin' on. I think there's a big market there. I think the fog is lifted. People seeing their spot. There's value there. Value creation equals reward. >> Yeah. >> Simplicity. Ease of use. This is the new normal. Great job. Thanks for coming on and sharing. (cross talking) Okay. Back to live coverage after this short break with more day one coverage here from the blue set here in Moscone. (light corporate music)

Published Date : Sep 6 2022

SUMMARY :

coming down the cube. Great to have you on. A lot goin' on, the it's going to be, ya' know, going down. Clearly the cloud's happenin'. Yeah. Talk about where you guys There's a lot that you can Yeah. Yeah. Yeah. I got to say that, you know, but it was either one of you guys. (cross talking) Dave, remember when he said, you know, So, look at the OEMs, you know, So, you know, GreenLake They come to a, you know, an On-Premise. I mean, this is complicated stuff. where you can say, hey, Edge, or in the public cloud, as you go, obviously, the financial model, So that's another phenomenon, you know? It's interesting too, you know, I mean, One of the things I liked Because we've been saying, you know, And when you have Yeah. for all of the various but the old model in the with more complexity. is already in the cycle, so of the technologies, Yeah. What's, that's a great point you made. would be, you know, that I can press the cost out of the box. So you get in whatever. that are coming in that, you know, At the moment, you know, the enablement, you know, it, you know, compute storage? that's needed for, you know, So, to get this right, you You got GreenLake and you So does the customer, So the beauty of the HP ProLiant of how you would have to do this. He said you have to be early to be first. Yeah. So you were- early, but do you have a lead? If you're the best. We go to the source of the What do you look at and We've been in a lot of And we know how that And I can tell you, and Andy Jassy, you know, code to the developer. Which is why there's cake that we've, you know, provisioning with containers. a lot of that into the mix in with the CICD pipeline. I know it's going to get It's just a continuation of, you know, And the industry is really It's about, you know, I slice right like you wouldn't believe. So to speak, you know, How do you guys view that piece of it? is the infrastructure or the middle where, It's all of it. Quick question on the I remember when HP was, you know, So first of all, VMware and HPE, Well before any Broadcom a variety of partners. the answer's absolutely not. And of course, you know, on each other to help us as, you know, that we all have in common. And independent of the Clearly, the wave, we're It's also the customers We believe that to be true. Thanks for the Cloud. So what do you guys see? in a position where, you know, How do you encourage them? you know, from across the ecosystem. and what the (indistinct), you know, It's a big pie that's developing. And then you help- or is it going to be here? is that people are finding the spots that, view not just of, you know, Everyone can see their position there. simplicity and talk to me and my advice that the partner to me, but not to go back- This is the new normal.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Dave VellantePERSON

0.99+

Ricky CooperPERSON

0.99+

HPORGANIZATION

0.99+

DavePERSON

0.99+

Joseph GeorgePERSON

0.99+

AmazonORGANIZATION

0.99+

Sumit DhawanPERSON

0.99+

Pat GelsingerPERSON

0.99+

RickyPERSON

0.99+

five yearsQUANTITY

0.99+

AMDORGANIZATION

0.99+

FourQUANTITY

0.99+

Andy GrovePERSON

0.99+

TelecoORGANIZATION

0.99+

GreenLakeORGANIZATION

0.99+

20 yearsQUANTITY

0.99+

Goldman SachsORGANIZATION

0.99+

Andy JassyPERSON

0.99+

VMwareORGANIZATION

0.99+

20%QUANTITY

0.99+

2013DATE

0.99+

BroadcomORGANIZATION

0.99+

10 yearsQUANTITY

0.99+

John FurrierPERSON

0.99+

HPAORGANIZATION

0.99+

two companiesQUANTITY

0.99+

two organizationsQUANTITY

0.99+

twoQUANTITY

0.99+

HPEORGANIZATION

0.99+

yesterdayDATE

0.99+

JohnPERSON

0.99+

fourQUANTITY

0.99+

CapExORGANIZATION

0.99+

DellORGANIZATION

0.99+

VMware TechnologiesORGANIZATION

0.99+

MosconeLOCATION

0.99+

bothQUANTITY

0.99+

OPEXORGANIZATION

0.99+

Compute Industry AlliancesORGANIZATION

0.99+

HP GreenORGANIZATION

0.99+

Project MontereyORGANIZATION

0.98+

two big thingsQUANTITY

0.98+

five thingsQUANTITY

0.98+

todayDATE

0.98+

oneQUANTITY

0.98+

AMD PensandoORGANIZATION

0.98+

RaghuPERSON

0.98+

firstQUANTITY

0.98+

IntelORGANIZATION

0.98+

HPE DiscoverORGANIZATION

0.97+

over 200,000 customersQUANTITY

0.97+

vSphereORGANIZATION

0.97+

100,000QUANTITY

0.97+

VMware ExploreORGANIZATION

0.97+

one exampleQUANTITY

0.97+

this yearDATE

0.97+

*****NEEDS TO STAY UNLISTED FOR REVIEW***** Tom Gillis | Advanced Security Business Group


 

(bright music) >> Welcome back everyone. theCube's live coverage here. Day two, of two sets, three days of theCube coverage here at VMware Explore. This is our 12th year covering VMware's annual conference, formerly called VM World. I'm John Furrier, with Dave Vellante. We'd love seeing the progress and we've got great security comes Tom Gill, senior vices, president general manager, networking and advanced security business group at VMware. Great to see you. Thanks for coming on. >> Thanks. for having me. >> Yeah, really happy we could have you on. >> I think this is my sixth edition on the theCube. Do I get frequent flyer points or anything? >> Yeah. >> You first get the VIP badge. We'll make that happen. You can start getting credits. >> Okay, there we go. >> We won't interrupt you. Seriously, you got a great story in security here. The security story is kind of embedded everywhere, so it's not called out and blown up and talked specifically about on stage. It's kind of in all the narratives in the VM World for this year. But you guys have an amazing security story. So let's just step back and to set context. Tell us the security story for what's going on here at VMware and what that means to this supercloud, multi-cloud and ongoing innovation with VMware. >> Yeah, sure thing. So probably the first thing I'll point out is that security's not just built in at VMware. It's built differently. So, we're not just taking existing security controls and cut and pasting them into our software. But we can do things because of our platform, because of the virtualization layer that you really can't do with other security tools. And where we're very, very focused is what we call lateral security or East-West movement of an attacker. 'Cause frankly, that's the name of the game these days. Attackers, you've got to assume that they're already in your network. Already assume that they're there. Then how do we make it hard for them to get to the stuff that you really want? Which is the data that they're going after. And that's where we really should. >> All right. So we've been talking a lot, coming into VMware Explore, and here, the event. About two things. Security, as a state. >> Yeah. >> I'm secure right now. >> Yeah. >> Or I think I'm secure right now, even though someone might be in my network or in my environment. To the notion of being defensible. >> Yeah. >> Meaning I have to defend and be ready at a moment's notice to attack, fight, push back, red team, blue team. Whatever you're going to call it. But something's happening. I got to be able to defend. >> Yeah. So what you're talking about is the principle of Zero Trust. When I first started doing security, the model was we have a perimeter. And everything on one side of the perimeter is dirty, ugly, old internet. And everything on this side, known good, trusted. What could possibly go wrong. And I think we've seen that no matter how good you make that perimeter, bad guys find a way in. So Zero Trust says, you know what? Let's just assume they're already in. Let's assume they're there. How do we make it hard for them to move around within the infrastructure and get to the really valuable assets? 'Cause for example, if they bust into your laptop, you click on a link and they get code running on your machine. They might find some interesting things on your machine. But they're not going to find 250 million credit cards. >> Right. >> Or the script of a new movie or the super secret aircraft plans. That lives in a database somewhere. And so it's that movement from your laptop to that database. That's where the damage is done and that's where VMware shines. >> So if they don't have the right to get to that database, they're not in. >> And it's not even just the right. So they're so clever and so sneaky that they'll steal a credential off your machine, go to another machine, steal a credential off of that. So, it's like they have the key to unlock each one of these doors. And we've gotten good enough where we can look at that lateral movement, even though it has a credential and a key, we're like wait a minute. That's not a real CIS Admin making a change. That's ransomware. And that's where you. >> You have to earn your way in. >> That's right. That's right. Yeah. >> And we're all kinds of configuration errors. But also some user problems. I've heard one story where there's so many passwords and username and passwords and systems that the bad guys scour, the dark web for passwords that have been exposed. >> Correct. >> And go test them against different accounts. Oh one hit over here. >> Correct. >> And people don't change their passwords all the time. >> Correct. >> That's a known vector. >> Just the idea that users are going to be perfect and never make a mistake. How long have we been doing this? Humans are the weakest link. So people are going to make mistakes. Attackers are going to be in. Here's another way of thinking about it. Remember log4j? Remember that whole fiasco? Remember that was at Christmas time. That was nine months ago. And whoever came up with that vulnerability, they basically had a skeleton key that could access every network on the planet. I don't know if a single customer that said, "Oh yeah, I wasn't impacted by log4j." So here's some organized entity had access to every network on the planet. What was the big breach? What was that movie script that got stolen? So there wasn't one, right? We haven't heard anything. So the point is, the goal of attackers is to get in and stay in. Imagine someone breaks into your house, steals your laptop and runs. That's a breach. Imagine someone breaks into your house and stays for nine months. It's untenable, in the real world, right? >> Right. >> We don't know in there, hiding in the closet. >> They're still in. >> They're watching everything. >> Hiding in your closet, exactly. >> Moving around, nibbling on your cookies. >> Drinking your beer. >> Yeah. >> So let's talk about how this translates into the new reality of cloud-native. Because now you hear about automated pentesting is a new hot thing right now. You got antivirus on data is hot within APIs, for instance. >> Yeah. >> API security. So all kinds of new hot areas. Cloud-native is very iterative. You know, you can't do a pentest every week. >> Right. >> You got to do it every second. >> So this is where it's going. It's not so much simulation. It's actually real testing. >> Right. Right. >> How do you view that? How does that fit into this? 'cause that seems like a good direction to me. >> Yeah. If it's right in, and you were talking to my buddy, Ahjay, earlier about what VMware can do to help our customers build cloud native applications with Tanzu. My team is focused on how do we secure those applications? So where VMware wants to be the best in the world is securing these applications from within. Looking at the individual piece parts and how they talk to each other and figuring out, wait a minute, that should never happen. By almost having an x-ray machine on the innards of the application. So we do it for both for VMs and for container based applications. So traditional apps are VM based. Modern apps are container based. And we have a slightly different insertion mechanism. It's the same idea. So for VMs, we do it with a hypervisor with NSX. We see all the inner workings. In a container world we have this thing called a service mesh that lets us look at each little snippet of code and how they talk to each other. And once you can see that stuff, then you can actually apply. It's almost like common sense logic of like, wait a minute. This API is giving back credit card numbers and it gives five an hour. All of a sudden, it's now asking for 20,000 or a million credit cards. That doesn't make any sense. The anomalies stick out like a sore thumb. If you can see them. At VMware, our unique focus in the infrastructure is that we can see each one of these little transactions and understand the conversation. That's what makes us so good at that East-West or lateral security. >> You don't belong in this room, get out or that that's some weird call from an in memory database, something over here. >> Exactly. Where other security solutions won't even see that. It's not like there algorithms aren't as good as ours or better or worse. It's the access to the data. We see the inner plumbing of the app and therefore we can protect the app from. >> And there's another dimension that I want to get in the table here. 'Cause to my knowledge only AWS, Google, I believe Microsoft and Alibaba and VMware have this. >> Correct >> It's Nitro. The equivalent of a Nitro. >> Yes. >> Project Monterey. >> Yeah. >> That's unique. It's the future of computing architectures. Everybody needs a Nitro. I've written about this. >> Yeah. >> Right. So explain your version. >> Yeah. >> It's now real. >> Yeah. >> It's now in the market, right? >> Yeah. >> Or soon will be. >> Here's our mission. >> Salient aspects. >> Yeah. Here's our mission of VMware. Is that we want to make every one of our enterprise customers. We want their private cloud to be as nimble, as agile, as efficient as the public cloud. >> And secure. >> And secure. In fact, I'll argue, we can make it actually more secure because we're thinking about putting security everywhere in this infrastructure. Not just on the edges of it. Okay. How do we go on that journey? As you pointed out, the public cloud providers realized five years ago that the right way to build computers was not just a CPU and a graphics process unit, GPU. But there's this third thing that the industry's calling a DPU, data processing unit. And so there's kind of three pieces of a computer. And the DPU is sometimes called a Smartnic. It's the network interface card. It does all that network handling and analytics and it takes it off the CPU. So they've been building and deploying those systems themselves. That's what Nitro is. And so we have been working with the major Silicon vendors to bring that architecture to everybody. So with vSphere 8, we have the ability to take the network processing, that East-West inspection I talked about, take it off of the CPU and put it into this dedicated processing element called the DPU and free up the CPU to run the applications that Ahjay and team are building. >> So no performance degradation at all? >> Correct. To CPU offload. >> So even the opposite, right? I mean you're running it basically Bare Metal speeds. >> Yes, yes and yes. >> And you're also isolating the storage from the security, the management, and. >> There's an isolation angle to this, which is that firewall, that we're putting everywhere. Not just that the perimeter, but we put it in each little piece of the server is running when it runs on one of these DPUs it's a different memory space. So even if an attacker gets to root in the OS, they it's very, very, never say never, but it's very difficult. >> So who has access to that resource? >> Pretty much just the infrastructure layer, the cloud provider. So it's Amazon, Google, Microsoft, and the enterprise. >> Application can't get in. >> Can't get in there. Cause you would've to literally bridge from one memory space to another. Never say never, but it would be very. >> But it hasn't earned the trust to get. >> It's more than barbwire. It's multiple walls. >> Yes. And it's like an air gap. It puts an air gap in the server itself so that if the server is compromised, it's not going to get into the network. Really powerful. >> What's the big thing that you're seeing with this supercloud transition. We're seeing multi-cloud and this new, not just SaaS hosted on the cloud. >> Yeah. >> You're seeing a much different dynamic of, combination of large scale CapEx, cloud-native, and then now cloud-native drills on premises and edge. Kind of changing what a cloud looks like if the cloud's on a cloud. >> Yeah. >> So we're the customer, I'm building on a cloud and I have on premise stuff. So, I'm getting scale CapEx relief from the hyperscalers. >> I think there's an important nuance on what you're talking about. Which is in the early days of the cloud customers. Remember those first skepticism? Oh, it'll never work. Oh, that's consumer grade. Oh, that's not really going to work. Oh some people realize. >> It's not secure. >> Yeah. It's not secure. >> That one's like, no, no, no it's secure. It works. And it's good. So then there was this sort of over rush. Let's put everything on the cloud. And I had a lot of customers that took VM based applications said, I'm going to move those onto the cloud. You got to take them all apart, put them on the cloud and put them all back together again. And little tiny details like changing an IP address. It's actually much harder than it looks. So my argument is, for existing workloads for VM based workloads, we are VMware. We're so good at running VM based workloads. And now we run them on anybody's cloud. So whether it's your east coast data center, your west coast data center, Amazon, Google, Microsoft, Alibaba, IBM keep going. We pretty much every. >> And the benefit of the customer is what. >> You can literally VMotion and just pick it up and move it from private to public, public to private, private to public, Back and forth. >> Remember when we called Vmotion BS, years ago? >> Yeah. Yeah. >> VMotion is powerful. >> We were very skeptical. We're like, that'll never happen. I mean we were. This supposed to be pat ourselves on the back. >> Well because alchemy. It seems like what you can't possibly do that. And now we do it across clouds. So it's not quite VMotion, but it's the same idea. You can just move these things over. I have one customer that had a production data center in the Ukraine. Things got super tense, super fast and they had to go from their private cloud data center in the Ukraine, to a public cloud data center out of harm's way. They did it over a weekend. 48 hours. If you've ever migrated a data center, that's usually six months. Right. And a lot of heartburn and a lot of angst. Boop. They just drag and dropped and moved it on over. That's the power of what we call the cloud operating model. And you can only do this when all your infrastructures defined in software. If you're relying on hardware, load balancers, hardware, firewalls, you can't move those. They're like a boat anchor. You're stuck with them. And by the way, they're really, really expensive. And by the way, they eat a lot of power. So that was an architecture from the 90's. In the cloud operating model your data center. And this comes back to what you were talking about is just racks and racks of X86 with these magic DPUs, or smart nics, to make any individual node go blisteringly fast and do all the functions that you used to do in network appliances. >> We just had Ahjay taking us to school, and everyone else to school on applications, middleware, abstraction layer. And Kit Culbert was also talking about this across cloud. We're talking supercloud, super pass. If this continues to happen, which we would think it will happen. What does the security posture look like? It feels to me, and again, this is your wheelhouse. If supercloud happens with this kind of past layer where there's vMotioning going on. All kinds of spanning applications and data across environments. >> Yeah. Assume there's an operating system working on behind the scenes. >> Right. >> What's the security posture in all this? >> Yeah. So remember my narrative about the bad guys are getting in and they're moving around and they're so sneaky that they're using legitimate pathways. The only way to stop that stuff, is you've got to understand it at what we call Layer 7. At the application layer. Trying to do security to the infrastructure layer. It was interesting 20 years ago, kind of less interesting 10 years ago. And now it's becoming irrelevant because the infrastructure is oftentimes not even visible. It's buried in some cloud provider. So Layer 7 understanding, application awareness, understanding the APIs and reading the content. That's the name of the game in security. That's what we've been focused on. Nothing to do with the infrastructure. >> And where's the progress bar on that paradigm. One to ten. Ten being everyone's doing it. >> Right now. Well, okay. So we as a vendor can do this today. All the stuff I talked about, reading APIs, understanding the individual services looking at, Hey, wait a minute this credit card anomalies, that's all shipping production code. Where is it in customer adoption life cycle? Early days 10%. So there's a whole lot of headroom for people to understand, Hey, I can put these controls in place. They're software based. They don't require appliances. It's Layer 7, so it has contextual awareness and it's works on every single cloud. >> We talked about the pandemic being an accelerator. It really was a catalyst to really rethink. Remember we used to talk about Pat as a security do over. He's like, yes, if it's the last thing I do, I'm going to fix security. Well, he decided to go try to fix Intel instead. >> He's getting some help from the government. >> But it seems like CISOs have totally rethought their security strategy. And at least in part, as a function of the pandemic. >> When I started at VMware four years ago, Pat sat me down in his office and he said to me what he said to you, which is like, "Tom," he said, "I feel like we have fundamentally changed servers. We fundamentally change storage. We fundamentally change networking. The last piece of the puzzle of security. I want you to go fundamentally change it." And I'll argue that the work that we're doing with this horizontal security, understanding the lateral movement. East- West inspection. It fundamentally changes how security works. It's got nothing to do with firewalls. It's got nothing to do with Endpoint. It's a unique capability that VMware is uniquely suited to deliver on. And so Pat, thanks for the mission. We delivered it and it's available now. >> Those WET web applications firewall for instance are around, I mean. But to your point, the perimeter's gone. >> Exactly. >> And so you got to get, there's no perimeter. so it's a surface area problem. >> Correct. And access. And entry. >> Correct. >> They're entering here easy from some manual error, or misconfiguration or bad password that shouldn't be there. They're in. >> Think about it this way. You put the front door of your house, you put a big strong door and a big lock. That's a firewall. Bad guys come in the window. >> And then the windows open. With a ladder. >> Oh my God. Cause it's hot, bad user behavior trumps good security every time. >> And then they move around room to room. We're the room to room people. We see each little piece of the thing. Wait, that shouldn't happen. Right. >> I want to get you a question that we've been seeing and maybe we're early on this or it might be just a false data point. A lot of CSOs and we're talking to are, and people in industry in the customer environment are looking at CISOs and CSOs, two roles. Chief information security officer, and then chief security officer. Amazon, actually Steven Schmidt is now CSO at Reinforce. They actually called that out. And the interesting point that he made, we had some other situations that verified this, is that physical security is now tied to online, to your point about the service area. If I get a password, I still got the keys to the physical goods too. >> Right. So physical security, whether it's warehouse for them or store or retail. Digital is coming in there. >> Yeah. So is there a CISO anymore? Is it just CSO? What's the role? Or are there two roles you see that evolving? Or is that just circumstance. >> I think it's just one. And I think that the stakes are incredibly high in security. Just look at the impact that these security attacks are having on. Companies get taken down. Equifax market cap was cut 80% with a security breach. So security's gone from being sort of a nuisance to being something that can impact your whole kind of business operation. And then there's a whole nother domain where politics get involved. It determines the fate of nations. I know that sounds grand, but it's true. And so companies care so much about it they're looking for one leader, one throat to choke. One person that's going to lead security in the virtual domain, in the physical domain, in the cyber domain, in the actual. >> I mean, you mention that, but I mean, you look at Ukraine. I mean that cyber is a component of that war. I mean, it's very clear. I mean, that's new. We've never seen. this. >> And in my opinion, the stuff that we see happening in the Ukraine is small potatoes compared to what could happen. >> Yeah. >> So the US, we have a policy of strategic deterrence. Where we develop some of the most sophisticated cyber weapons in the world. We don't use them. And we hope never to use them. Because our adversaries, who could do stuff like, I don't know, wipe out every bank account in North America. Or turn off the lights in New York City. They know that if they were to do something like that, we could do something back. >> This is the red line conversation I want to go there. So, I had this discussion with Robert Gates in 2016 and he said, "We have a lot more to lose." Which is really your point. >> So this brand. >> I agree that there's to have freedom and liberty, you got to strike back with divorce. And that's been our way to balance things out. But with cyber, the red line, people are already in banks. So they're are operating below the red line line. Red line meaning before we know you're in there. So do we move the red line down because, hey, Sony got hacked. The movie. Because they don't have their own militia. >> Yeah. >> If their were physical troops on the shores of LA breaking into the file cabinets. The government would've intervened. >> I agree with you that it creates tension for us in the US because our adversaries don't have the clear delineation between public and private sector. Here you're very, very clear if you're working for the government. Or you work for an private entity. There's no ambiguity on that. >> Collaboration, Tom, and the vendor community. I mean, we've seen efforts to try to. >> That's a good question. >> Monetize private data and private reports. >> So at VMware, I'm very proud of the security capabilities we've built. But we also partner with people that I think of as direct competitors. We've got firewall vendors and Endpoint vendors that we work with and integrate. And so coopetition is something that exists. It's hard. Because when you have these kind of competing. So, could we do more? Of course we probably could. But I do think we've done a fair amount of cooperation, data sharing, product integration, et cetera. And as the threats get worse, you'll probably see us continue to do more. >> And the government is going to trying to force that too. >> And the government also drives standards. So let's talk about crypto. Okay. So there's a new form of encryption coming out called processing quantum. >> Quantum. Quantum computers have the potential to crack any crypto cipher we have today. That's bad. Okay. That's not good at all because our whole system is built around these private communications. So the industry is having conversations about crypto agility. How can we put in place the ability to rapidly iterate the ciphers in encryption. So, when the day quantum becomes available, we can change them and stay ahead of these quantum people. >> Well, didn't NIST just put out a quantum proof algo that's being tested right now by the community? >> There's a lot of work around that. Correct. And NIST is taking the lead on this, but Google's working on it. VMware's working on it. We're very, very active in how do we keep ahead of the attackers and the bad guys? Because this quantum thing is a, it's an x-ray machine. It's like a dilithium crystal that can power a whole ship. It's a really, really, really powerful tool. >> Bad things will happen. >> Bad things could happen. >> Well, Tom, great to have you on the theCube. Thanks for coming on. Take the last minute to just give a plug for what's going on for you here at VMWorld this year, just VMware Explore this year. >> Yeah. We announced a bunch of exciting things. We announced enhancements to our NSX family, with our advanced load balancer. With our edge firewall. And they're all in service of one thing, which is helping our customers make their private cloud like the public cloud. So I like to say 0, 0, 0. If you are in the cloud operating model, you have zero proprietary appliances. You have zero tickets to launch a workload. You have zero network taps and Zero Trust built into everything you do. And that's what we're working on. Pushing that further and further. >> Tom Gill, senior vices president, head of the networking at VMware. Thanks for coming on. We do appreciate it. >> Thanks for having us. >> Always getting the security data. That's killer data and security of the two ops that get the most conversations around DevOps and Cloud Native. This is The theCube bringing you all the action here in San Francisco for VMware Explore 2022. I'm John Furrier with Dave Vellante. Thanks for watching. (bright music)

Published Date : Sep 1 2022

SUMMARY :

We'd love seeing the progress for having me. we could have you on. edition on the theCube. You first get the VIP It's kind of in all the narratives So probably the first thing and here, the event. To the notion of being defensible. I got to be able to defend. the model was we have a perimeter. or the super secret aircraft plans. right to get to that database, And it's not even just the right. Yeah. systems that the bad guys scour, And go test them And people don't change So the point is, the goal of attackers hiding in the closet. nibbling on your cookies. into the new reality of cloud-native. So all kinds of new hot areas. So this is where it's going. Right. a good direction to me. of the application. get out or that that's some weird call It's the access to the data. 'Cause to my knowledge only AWS, Google, The equivalent of a Nitro. It's the future of So explain your version. as efficient as the public cloud. that the right way to build computers So even the opposite, right? from the security, the management, and. Not just that the perimeter, Microsoft, and the enterprise. from one memory space to another. It's more than barbwire. server itself so that if the not just SaaS hosted on the cloud. if the cloud's on a cloud. relief from the hyperscalers. of the cloud customers. It's not secure. Let's put everything on the cloud. And the benefit of and move it from private to public, ourselves on the back. in the Ukraine, to a What does the security posture look like? Yeah. and reading the content. One to ten. All the stuff I talked We talked about the help from the government. function of the pandemic. And I'll argue that the work But to your point, the perimeter's gone. And so you got to get, And access. password that shouldn't be there. You put the front door of your house, And then the windows Cause it's hot, bad user behavior We're the room to room people. the keys to the physical goods too. So physical security, whether What's the role? in the cyber domain, in the actual. component of that war. the stuff that we see So the US, we have a policy This is the red line I agree that there's to breaking into the file cabinets. have the clear delineation and the vendor community. and private reports. And as the threats get worse, And the government is going And the government So the industry is having conversations And NIST is taking the lead on this, Take the last minute to just So I like to say 0, 0, 0. head of the networking at VMware. that get the most conversations

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Dave VellantePERSON

0.99+

IBMORGANIZATION

0.99+

AlibabaORGANIZATION

0.99+

Tom GillPERSON

0.99+

AmazonORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

MicrosoftORGANIZATION

0.99+

Tom GillisPERSON

0.99+

PatPERSON

0.99+

UkraineLOCATION

0.99+

2016DATE

0.99+

Steven SchmidtPERSON

0.99+

AWSORGANIZATION

0.99+

20,000QUANTITY

0.99+

TomPERSON

0.99+

SonyORGANIZATION

0.99+

John FurrierPERSON

0.99+

New York CityLOCATION

0.99+

San FranciscoLOCATION

0.99+

nine monthsQUANTITY

0.99+

six monthsQUANTITY

0.99+

Zero TrustORGANIZATION

0.99+

ReinforceORGANIZATION

0.99+

two setsQUANTITY

0.99+

NISTORGANIZATION

0.99+

North AmericaLOCATION

0.99+

VMwareORGANIZATION

0.99+

sixth editionQUANTITY

0.99+

Kit CulbertPERSON

0.99+

48 hoursQUANTITY

0.99+

Robert GatesPERSON

0.99+

two rolesQUANTITY

0.99+

80%QUANTITY

0.99+

12th yearQUANTITY

0.99+

AhjayPERSON

0.99+

three daysQUANTITY

0.99+

two opsQUANTITY

0.99+

TenQUANTITY

0.99+

third thingQUANTITY

0.99+

five an hourQUANTITY

0.99+

EquifaxORGANIZATION

0.99+

tenQUANTITY

0.98+

zero ticketsQUANTITY

0.98+

nine months agoDATE

0.98+

one customerQUANTITY

0.98+

four years agoDATE

0.98+

bothQUANTITY

0.98+

LALOCATION

0.98+

250 million credit cardsQUANTITY

0.98+

Day twoQUANTITY

0.98+

five years agoDATE

0.98+

a million credit cardsQUANTITY

0.98+

firstQUANTITY

0.97+

10 years agoDATE

0.97+

IntelORGANIZATION

0.97+

this yearDATE

0.97+

90'sDATE

0.97+

one storyQUANTITY

0.97+

oneQUANTITY

0.96+

todayDATE

0.96+

Layer 7OTHER

0.96+

20 years agoDATE

0.96+

One personQUANTITY

0.96+

ChristmasEVENT

0.96+

three piecesQUANTITY

0.96+

NitroORGANIZATION

0.95+

TanzuORGANIZATION

0.95+

OneQUANTITY

0.94+

10%QUANTITY

0.94+

one leaderQUANTITY

0.94+

*****NEEDS TO STAY UNLISTED FOR REVIEW***** Tom Gillis | Advanced Security Business Group


 

>>Welcome back everyone Cube's live coverage here. Day two, two sets, three days of cube coverage here at VMware Explorer. This is our 12th year covering VMware's annual conference, formally called world I'm Jean Dave ante. We'd love seeing the progress and we've got great security comes Tom Gill, senior rights, president general manager, networking and advanced security business group at VMware. Great to see you. Thanks for coming on. Thanks >>For having me. Yeah, really happy we could have you on, you know, I think, I think this is my sixth edition on the cube. Like, do I get freaking flyer points or anything? >>Yeah, you get first get the VIP badge. We'll make that happen. You can start getting credits. >>Okay. There we go. >>We won't interrupt you. No, seriously, you got a great story in security here. The security story is kind of embedded everywhere, so it's not like called out and, and blown up and talked specifically about on stage. It's kind of in all the narratives in, in the VM world for this year. Yeah. But you guys have an amazing security story. So let's just step back into set context. Tell us the security story for what's going on here at VMware and what that means to this super cloud multi-cloud and ongoing innovation with VMware. Yeah, >>Sure thing. So, so probably the first thing I'll point out is that, that security's not just built in at VMware it's built differently, right? So we're not just taking existing security controls and cut and pasting them into, into our software. But we can do things because of our platform because of the virtualization layer that you really can't do with other security tools and where we're very, very focused is what we call lateral security or east west movement of an attacker. Cuz frankly, that's the name of the game these days. Right? Attackers, you gotta assume that they're already in your network. Okay. Already assume that they're there, then how do we make it hard for them to get to what the, the stuff that you really want, which is the data that they're, they're going after. Right. And that's where we, >>We really should. All right. So we've been talking a lot coming into world VMware Explorer and here the event about two things security as a state. Yeah. I'm secure right now. Yeah. Or I, I think I'm secure right now, even though someone might be in my network or in my environment to the notion of being defensible. Yeah. Meaning I have to defend and be ready at a moment's notice to attack, fight, push back red team, blue team, whatever you're gonna call it, but something's happening. I gotta be a to defend. Yeah. >>So you, what you're talking about is the principle of zero trust. So the, the, when we, when I first started doing security, the model was we have a perimeter and everything on one side of the perimeter is dirty, ugly, old internet and everything on this side known good, trusted what could possibly go wrong. And I think we've seen that no matter how good you make that perimeter, bad guys find a way in. So zero trust says, you know what? Let's just assume they're already in. Let's assume they're there. How do we make it hard for them to move around within the infrastructure and get to the really valuable assets? Cuz for example, if they bust into your laptop, you click on a link and they get code running on your machine. They might find some interesting things on your machine, but they're not gonna find 250 million credit cards. Right. Or the, the script of a new movie or the super secret aircraft plans, right. That lives in a database somewhere. And so it's that movement from your laptop to that database. That's where the damage is done. Yeah. And that's where VMware shines. If they don't >>Have the right to get to that database, they're >>Not >>In and it's not even just the right, like, so they're so clever. And so sneaky that they'll steal a credential off your machine, go to another machine, steal a credential off of that. So it's like they have the key to unlock each one of these doors and we've gotten good enough where we can look at that lateral movement, even though it has a credential and a key where like, wait a minute, that's not a real CIS admin making a change. That's ransomware. Yeah. Right. And that's, that's where we, you have to earn your way in. That's right. That's >>Right. Yeah. And we're all, there's all kinds of configuration errors. But also some, some I'll just user problems. I've heard one story where there's so many passwords and username and passwords and systems that the bad guy's scour, the dark web for passwords that have been exposed. Correct. And go test them against different accounts. Oh one hit over here. Correct. And people don't change their passwords all the time. Correct? Correct. That's a known, known vector. We, >>We just, the idea that users are gonna be perfect and never make mistake. Like how long have we been doing this? Like humans with the weakest link. Right. So, so, so people are gonna make mistakes. Attackers are gonna be in here's another way of thinking about it. Remember log for J. Remember that whole ago, remember that was a Christmas time. That was nine months ago. And whoever came up with that, that vulnerability, they basically had a skeleton key that could access every network on the planet. I don't know if a single customer that was said, oh yeah, I wasn't impacted by log for J. So seers, some organized entity had access to every network on the planet. What was the big breach? What was that movie script that got stolen? So there wasn't one. Right? We haven't heard anything. So the point is the goal of attackers is to get in and stay in. Imagine someone breaks into your house, steals your laptop and runs. That's a breach. Imagine someone breaks into your house and stays for nine months. Like it's untenable, the real world. Right, right. >>We don't even go in there. They're still in there >>Watching your closet. Exactly. Moving around, nibbling on your ni line, your cookies. You know what I mean? Drinking your beer. >>Yeah. So, so let's talk about how this translates into the new reality of cloud native, because now know you hear about, you know, automated pen testing is a, a new hot thing right now you got antivirus on data. Yeah. Is hot is hot within APIs, for instance. Yeah. API security. So all kinds of new hot areas, cloud native is very iterative. You know, you, you can't do a pen test every week. Right. You gotta do it every second. Right. So this is where it's going. It's not so much simulation. It's actually real testing. Right. Right. How do you view that? How does that fit into this? Cuz that seems like a good direction to me. >>Yeah. It, it, it fits right in. And you were talking to my buddy AJ earlier about what VMware can do to help our customers build cloud native applications with, with Zu, my team is focused on how do we secure those applications? So where VMware wants to be the best in the world is securing these applications from within looking at the individual piece parts and how they talk to each other and figuring out, wait a minute. That, that, that, that, that should never happen by like almost having an x-ray machine on the ins of the application. So we do it for both for VMs and for container based applications. So traditional apps are VM based. Modern apps are container based and we, and we have a slightly different insertion mechanism. It's the same idea. So for VMs, we do it with the hypervisor, with NSX, we see all the inner workings in a container world. >>We have this thing called a service me that lets us look at each little snippet of code and how they talk to each other. And once you can see that stuff, then you can actually apply. It's almost like common sense logic of like, wait a minute. You know, this API is giving back credit card numbers and it gives five an hour. All of a sudden, it's now asking for 20,000 or a million credit card that doesn't make any sense. Right? The anomalies stick out like a sore thumb. If you can see them. And VMware, our unique focus in the infrastructure is that we can see each one of these little transactions and understand the conversation. That's what makes us so good at that east west or lateral >>Security. Yeah. You don't belong in this room, get out or that that's right. Some weird call from an in-memory database, something over >>Here. Exactly. Where other, other security solutions won't even see that. Right. It's not like there algorithms aren't as good as ours or, or better or worse. It's that, it's the access to the data. We see the, the, the, the inner plumbing of the app. And therefore we can protect >>The app from, and there's another dimension that I wanna get in the table here, cuz to my knowledge only AWS, Google, I, I believe Microsoft and Alibaba and VMware have this, it nitro the equivalent of a nitro. Yes. Project Monterey. Yeah. That's unique. It's the future of computing architectures. Everybody needs a nitro. I've I've written about this. Yeah. Right. So explain your version. Yeah. Project. It's now real. It's now in the market right. Or soon will be. Yeah. Here. Here's our mission salient aspects. Yeah. >>Here's our mission of VMware is that we wanna make every one of our enterprise customers. We want their private cloud to be as nimble, as agile, as efficient as the public cloud >>And secure >>And secure. In fact, I'll argue, we can make it actually more secure because we're thinking about putting security everywhere in this infrastructure. Right. Not just on the edges of it. So, so, so, okay. How do we go on that journey? As you pointed out, the public cloud providers realized, you know, five years ago that the right way to build computers was not just a CPU and a GPU graphics process, unit GPU, but there's this third thing that the industry's calling a DPU data processing unit. So there's kind of three pieces of a computer. And the DPU is sometimes called a smart Nick it's the network interface card. It does all that network handling and analytics and it takes it off the CPU. So they've been building and deploying those systems themselves. That's what nitro is. And so we have been working with the major Silicon vendors to bring that architecture to everybody. So, so with vSphere eight, we have the ability to take the network processing that east west inspection. I talked about, take it off of the CPU and put it into this dedicated processing element called the DPU and free up the CPU to run the applications that AJ and team are building. >>So no performance degradation at all, correct. >>To CPU >>Offload. So even the opposite, right? I mean you're running it basically bare metal speeds. >>Yes, yes. And yes. >>And, and, and you're also isolating the, the storage right from the, from the, the, the security, the management. And >>There's an isolation angle to this, which is that firewall that we're putting everywhere. Not just that the perimeter, we put it in each little piece of the server is running when it runs on one of these DPU, it's a different memory space. So even if, if an attacker gets to root in the OS, they it's very, very, never say never, but it's very difficult. >>So who has access to that? That, that resource >>Pretty much just the infrastructure layer, the cloud provider. So it's Google Microsoft, you know, and the enterprise, the >>Application can't get in, >>Can't get in there. Cause it, you would've to literally bridge from one memory space to another, never say never, but it would be very, very, >>It hasn't earned the trust >>To get it's more than Bob wire. It's, it's, it's multiple walls and, and >>It's like an air gap. It puts an air gap in the server itself so that if the server's compromised, it's not gonna get into the network really powerful. >>What's the big thing that you're seeing with this super cloud transition we're seeing, we're seeing, you know, multicloud and this new, not just SAS hosted on the cloud. Yeah. You're seeing a much different dynamic of combination of large scale CapEx, cloud native. And then now cloud native develops on premises and edge kind of changing what a cloud looks like if the cloud's on a cloud. So rubber customer, I'm building on a cloud and I have on-prem stuff. So I'm getting scale CapEx relief from the, from the cap, from the hyperscalers. >>I, I think there's an important nuance on what you're talking about, which is, is in the early days of the cloud customers. Remember those first skepticism? Oh, it'll never work. Oh, that's consumer grade. Oh, that's not really gonna work. And some people realize >>It's not secure. Yeah. >>It, it's not secure that one's like, no, no, no, it's secure. It works. And it, and it's good. So then there was this sort of over rush. Like let's put everything on the cloud. And I had a lot of customers that took VM based applications said, I'm gonna move those onto the cloud. You gotta take 'em all apart, put 'em on the cloud and put 'em all back together again. And little tiny details, like changing an IP address. It's actually much harder than it looks. So my argument is for existing workloads for VM based workloads, we are VMware. We're so good at running VM based workloads. And now we run them on anybody's cloud. So whether it's your east coast data center, your west coast data center, Amazon, Google, Microsoft, Alibaba, IBM keep going. Right. We pretty much every, and >>The benefit of the customer is what you >>Can literally vMotion and just pick it up and move it from private to public public, to private, private, to public, public, back and forth. >>Remember when we called VMO BS years ago. Yeah, yeah, yeah. >>We were really, skeptic is >>Powerful. We were very skeptical. We're like, that'll never happen. I mean, we were, I mean, it's supposed to be pat ourselves on the back. We, well, >>Because it's alchemy, it seems like what you can't possibly do that. Right. And so, so, so, and now we do it across clouds, right? So we can, you know, it's not quite VMO, but it's the same idea. You can just move these things over. I have one customer that had a production data center in the Ukraine, things got super tense, super fast, and they had to go from their private cloud data center in the Ukraine to a public cloud data center outta harm's way. They did it over a weekend, 48 hours. If you've ever migrated data, that's usually six months, right? And a lot of heartburn and a lot of angst, boom. They just drag and drop, moved it on over. That's the power of what we call the cloud operating model. And you can only do this when all your infrastructure's defined in software. >>If you're relying on hardware, load, balancers, hardware, firewalls, you can't move those. They're like a boat anchor. You're stuck with them. And by the way, really, really expensive. And by the way, they eat a lot of power, right? So that was an architecture from the nineties in the cloud operating model, your data center. And this goes back to what you were talking about is just racks and racks of X 86 with these magic DPU or smart necks to make any individual node go blisteringly fast and do all the functions that you used to do in network appliances. >>We just said, AJ taking us to school and everyone else to school on applications, middleware abstraction layer. Yeah. And kit Culver was also talking about this across cloud. We're talking super cloud, super pass. If this continues to happen, which we would think it will happen. What does the security posture look like? It has. It feels to me. And again, this is, this is your wheelhouse. If super cloud happens with this kind of past layer where there's B motioning going on, all kinds of yeah. Spanning applications and data. Yeah. Across environments. Yeah. Assume there's an operating system working on behind the scenes. Right. What's the security posture in all this. Yeah. >>So remember my narrative about like VA guys are getting in and they're moving around and they're so sneaky that they're using legitimate pathways. The only way to stop that stuff is you've gotta understand it at what, you know, we call layer seven at the application layer the in, you know, trying to do security, the infrastructure layer. It was interesting 20 years ago, kind of less interesting 10 years ago. And now it's becoming irrelevant because the infrastructure is oftentimes not even visible, right. It's buried in some cloud provider. So layer seven, understanding, application awareness, understanding the APIs and reading the content. That's the name of the game in security. That's what we've been focused on. Right. Nothing to do with >>The infras. And where's the progress bar on that, that paradigm early one at the 10, 10 being everyone's doing it >>Right now. Well, okay. So we, as a vendor can do this today. All the stuff I talked about about reading APIs, understanding the, the individual services looking at, Hey, wait a minute. This credit card anomalies, that's all shipping production code. Where is it in customer adoption life cycle, early days, 10%. So, so there's a whole lot of headroom. We, for people to understand, Hey, I can put these controls in place. There's software based. They don't require appliances. It's layer seven. So it has contextual awareness and it's works on every single cloud. >>You know, we talk about the pandemic. Being an accelerator really was a catalyst to really rethink. Remember we used to talk about pat his security a do over. He's like, yes, if it's the last thing I'm due, I'm gonna fix security. Well, he decided to go try to fix Intel instead, but, >>But, but he's getting some help from the government, >>But it seems like, you know, CISOs have totally rethought, you know, their security strategy. And, and at least in part is a function of the pandemic. >>When I started at VMware four years ago, pat sat me down in his office and he said to me what he said to you, which is like Tom, he said, I feel like we have fundamentally changed servers. We fundamentally changed storage. We fundamentally changed networking. The last piece of the puzzle of security. I want you to go fundamentally change it. And I'll argue that the work that we're doing with this, this horizontal security understanding the lateral movement east west inspection, it fundamentally changes how security works. It's got nothing to do with firewalls. It's got nothing to do with endpoint. It's a unique capability that VMware is uniquely suited to deliver on. And so pat, thanks for the mission. We delivered it and available >>Those, those wet like web applications firewall for instance are, are around. I mean, but to your point, the perimeter's gone. Exactly. And so you gotta get, there's no perimeter. So it's a surface area problem. Correct. And access and entry, correct. They're entering here easy from some manual error or misconfiguration or bad password that shouldn't be there. They're >>In. Think about it this way. You put the front door of your house, you put a big strong door and a big lock. That's a firewall bad guys, come in the window. Right. And >>Then the window's open and the window with a ladder room. Oh my >>God. Cause it's hot, bad user behavior. Trump's good security >>Every time. And then they move around room to room. We're the room to room people. Yeah. We see each little piece of the thing. Wait, that shouldn't happen. Right. >>I wanna get you a question that we've been seeing and maybe we're early on this, or it might be just a, a false data point. A lot of CSOs and we're talking to are, and people in industry in the customer environment are looking at CSOs and CSOs, two roles, chief information security officer, and then chief security officer Amazon, actually, Steven Schmidt is now CSO at reinforced. They actually called that out. Yeah. And the, and the interesting point that he made, we've had some other situations that verified. This is that physical security is now tied to online to your point about the service area. If I get a password, I still at the keys to the physical goods too. Right. Right. So physical security, whether it's warehouse for them is, or store or retail digital is coming in there. Yeah. So is there a CSO anymore? Is it just CSO? What's the role or are there two roles you see that evolving or is that just, >>Well, >>I circumstance, >>I, I think it's just one. And I think that, that, you know, the stakes are incredibly high in security. Just look at the impact that these security attacks are having on it. It, you know, companies get taken down, Equifax market cap was cut, you know, 80% with a security breach. So security's gone from being sort of a nuisance to being something that can impact your whole kind of business operation. And then there's a whole nother domain where politics get involved. Right. It determines the fate of nations. I know that sounds grand, but it's true. Yeah. And so, so, so companies care so much about it. They're looking for one liter, one throat to choke, you know, one person that's gonna lead security in the virtual domain, in the physical domain, in the cyber domain, in, in, you know, in the actual, well, it is, >>I mean, you mentioned that, but I mean, mean you look at Ukraine. I mean the, the, that, that, that cyber is a component of that war. I mean, that's very clear. I mean, that's, that's new, we've never seen >>This. And in my opinion, the stuff that we see happening in the Ukraine is small potatoes compared to what could happen. Yeah, yeah. Right. So the us, we have a policy of, of strategic deterrents where we develop some of the most sophisticated cyber weapons in the world. We don't use them and we hope never to use them because the, the, our adversaries who could do stuff like, oh, I don't know, wipe out every bank account in north America, or turn off the lights in New York city. They know that if they were to do something like that, we could do something back. >>I, this discuss, >>This is the red line conversation I wanna go there. So >>I had this discussion with Robert Gates in 2016 and he said, we have a lot more to lose, which is really >>Your point. So this brand, so I agree that there's the, to have freedom and Liberty, you gotta strike back with divorce and that's been our way to, to balance things out. Yeah. But with cyber, the red line, people are already in banks. So they're addresses are operating below the red line, red line, meaning before we know you're in there. So do we move the red line down because Hey, Sony got hacked the movie because they don't have their own militia. Yeah. If they were physical troops on the shores of LA breaking into the file cabinets. Yeah. The government would've intervened. >>I, I, I agree with you that it creates, it creates tension for us in the us because our, our adversaries don't have the clear delineation between public and private sector here. You're very, very clear if you're working for the government or you work for an private entity, there's no ambiguity on that. And so, so we have different missions in each department. Other countries will use the same cyber capabilities to steal intellectual, you know, a car design as they would to, you know, penetrate a military network. And that creates a huge hazard for us on the us. Cause we don't know how to respond. Yeah. Is that a civil issue? Is that a, a, a military issue? And so, so it creates policy ambiguity. I still love the clarity of separation of, you know, sort of the various branches of government separation of government from, >>But that, but, but bureau on multinational corporation, you then have to, your cyber is a defensible. You have to build the defenses >>A hundred percent. And I will also say that even though there's a clear D mark between government and private sector, there's an awful lot of cooperation. So, so our CSO, Alex toshe is actively involved in the whole intelligence community. He's on boards and standards and we're sharing because we have a common objective, right? We're all working together to fight these bad guys. And that's one of the things I love about cyber is that that even direct competitors, two big banks that are rivals on the street are working together to share security information and, and private, is >>There enough? Is collaboration Tom in the vendor community? I mean, we've seen efforts to try to, that's a good question, monetize private data, you know? Yeah. And private reports and, >>And, you know, like, so at VMware, we, we, I'm very proud of the security capabilities we've built, but we also partner with people that I think of as direct competitors, we've got firewall vendors and endpoint vendors that we work with and integrate. And so cooperation is something that exists. It's hard, you know, because when you have these kind of competing, you know, so could we do more? Of course we probably could, but I do think we've done a fair amount of cooperation, data sharing, product integration, et cetera, you know, and, you know, as the threats get worse, you'll probably see us continue to do more. >>And the governments is gonna trying to force that too. >>And, and the government also drives standards. So let's talk about crypto. Okay. So there's a new form of encryption coming out called quantum processing, calling out. Yeah. Yeah. Quantum, quantum computers have the potential to crack any crypto cipher we have today. That's bad. Okay. Right. That's not good at all because our whole system is built around these private communications. So, so the industry is having conversations about crypto agility. How can we put in place the ability to rapidly iterate the ciphers in encryption? So when the day quantum becomes available, we can change them and stay ahead of these quantum people. Well, >>Didn't this just put out a quantum proof algo that's being tested right now by the, the community. >>There's a lot of work around that. Correct. And, and, and this is taking the lead on this, but you know, Google's working on it, VMware's working on it. We're very, very active in how do we keep ahead of the attackers and the bad guys? Because this quantum thing is like a, it's a, it's a x-ray machine. You know, it's like, it's like a, a, a di lithium crystal that can power a whole ship. Right. It's a really, really, really powerful >>Tool. It's bad. Things will happen. >>Bad things could happen. >>Well, Tom, great to have you on the cube. Thanks for coming. Take the last minute to just give a plug for what's going on for you here at world this year, VMware explore this year. Yeah. >>We announced a bunch of exciting things. We announced enhancements to our, our NSX family, with our advanced load balancer, with our edge firewall. And they're all in service of one thing, which is helping our customers make their private cloud like the public cloud. So I like to say 0, 0, 0. If you are in the cloud operating model, you have zero proprietary appliances. You have zero tickets to launch a workload. You have zero network taps and zero trust built into everything you do. And that's, that's what we're working on and pushing that further and further. >>Tom Gill, senior vices president head of the networking at VMware. Thanks for coming up for you. Appreciate >>It. Yes. Thanks for having guys >>Always getting the security data. That's killer data and security of the two ops that get the most conversations around dev ops and cloud native. This is the queue bringing you all the action here in San Francisco for VMware. Explore 2022. I'm John furrier with Dave, Alan. Thanks for watching.

Published Date : Aug 31 2022

SUMMARY :

We'd love seeing the progress and we've got great security Yeah, really happy we could have you on, you know, I think, I think this is my sixth edition on the cube. Yeah, you get first get the VIP badge. It's kind of in all the narratives in, them to get to what the, the stuff that you really want, which is the data that they're, the notion of being defensible. the model was we have a perimeter and everything on one side of the perimeter is dirty, In and it's not even just the right, like, so they're so clever. and systems that the bad guy's scour, the dark web for passwords So the point is the goal of attackers is to get in and stay We don't even go in there. Moving around, nibbling on your ni line, your cookies. So this is where it's going. So for VMs, we do it with the hypervisor, And once you can see that stuff, then you can actually apply. something over It's that, it's the access to the data. It's the future of computing architectures. Here's our mission of VMware is that we wanna make every one of our enterprise customers. And the DPU is sometimes called a So even the opposite, right? And yes. And Not just that the perimeter, we put it in each little piece of the server is running when it runs on one of these DPU, Pretty much just the infrastructure layer, the cloud provider. Cause it, you would've to literally bridge from one memory space to another, never say never, but it would be To get it's more than Bob wire. it's not gonna get into the network really powerful. What's the big thing that you're seeing with this super cloud transition we're seeing, we're seeing, you know, And some people realize Yeah. And I had a lot of customers that took VM based to private, private, to public, public, back and forth. Remember when we called VMO BS years ago. I mean, we were, I mean, So we can, you know, it's not quite VMO, but it's the same idea. And this goes back to what you were talking about is just racks and racks of X 86 with these magic DPU And again, this is, this is your wheelhouse. And now it's becoming irrelevant because the infrastructure is oftentimes not even visible, And where's the progress bar on that, that paradigm early one at the 10, All the stuff I talked about about reading You know, we talk about the pandemic. But it seems like, you know, CISOs have totally rethought, you know, And I'll argue that the work that we're doing with this, this horizontal And so you gotta get, there's no perimeter. You put the front door of your house, you put a big strong door and a big lock. Then the window's open and the window with a ladder room. Trump's good security We're the room to room people. If I get a password, I still at the keys to the physical goods too. in the cyber domain, in, in, you know, in the actual, well, it is, I mean, you mentioned that, but I mean, mean you look at Ukraine. So the us, we have a policy of, of strategic deterrents where This is the red line conversation I wanna go there. So this brand, so I agree that there's the, to have freedom and Liberty, you gotta strike back with divorce And so, so we have different missions in each department. You have to build the defenses on the street are working together to share security information and, Is collaboration Tom in the vendor community? And so cooperation is something that exists. Quantum, quantum computers have the potential to crack any crypto cipher of the attackers and the bad guys? Things will happen. Take the last minute to just give a plug for what's going on So I like to say 0, 0, 0. Thanks for coming up for you. This is the queue bringing you all the action here in San

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
MicrosoftORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

Tom GillPERSON

0.99+

AlibabaORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

IBMORGANIZATION

0.99+

Tom GillisPERSON

0.99+

TrumpPERSON

0.99+

UkraineLOCATION

0.99+

Steven SchmidtPERSON

0.99+

2016DATE

0.99+

20,000QUANTITY

0.99+

48 hoursQUANTITY

0.99+

San FranciscoLOCATION

0.99+

TomPERSON

0.99+

nine monthsQUANTITY

0.99+

AWSORGANIZATION

0.99+

six monthsQUANTITY

0.99+

SonyORGANIZATION

0.99+

80%QUANTITY

0.99+

two rolesQUANTITY

0.99+

VMwareORGANIZATION

0.99+

north AmericaLOCATION

0.99+

10%QUANTITY

0.99+

sixth editionQUANTITY

0.99+

oneQUANTITY

0.99+

three daysQUANTITY

0.99+

five an hourQUANTITY

0.99+

each departmentQUANTITY

0.99+

nine months agoDATE

0.99+

one literQUANTITY

0.99+

third thingQUANTITY

0.99+

AJPERSON

0.99+

two setsQUANTITY

0.99+

12th yearQUANTITY

0.99+

firstQUANTITY

0.99+

EquifaxORGANIZATION

0.99+

2022DATE

0.99+

two opsQUANTITY

0.99+

Jean DavePERSON

0.99+

Robert GatesPERSON

0.99+

250 million credit cardsQUANTITY

0.98+

four years agoDATE

0.98+

Day twoQUANTITY

0.98+

this yearDATE

0.98+

IntelORGANIZATION

0.98+

five years agoDATE

0.98+

LALOCATION

0.98+

NSXORGANIZATION

0.98+

one customerQUANTITY

0.98+

bothQUANTITY

0.98+

todayDATE

0.98+

10 years agoDATE

0.98+

one storyQUANTITY

0.97+

three piecesQUANTITY

0.97+

AlanPERSON

0.97+

10QUANTITY

0.97+

zero ticketsQUANTITY

0.97+

one personQUANTITY

0.96+

ZuPERSON

0.96+

20 years agoDATE

0.96+

two big banksQUANTITY

0.96+

each little pieceQUANTITY

0.96+

VMOORGANIZATION

0.96+

John furrierPERSON

0.96+

one thingQUANTITY

0.95+

first thingQUANTITY

0.95+

one sideQUANTITY

0.94+

Advanced Security Business GroupORGANIZATION

0.92+

one throatQUANTITY

0.92+

Keynote Analysis | VMware Explore 2022


 

(gentle music) >> Hello, everyone welcome to "theCUBE's" live coverage here in San Francisco, California for VMware Explore not VMworld, it's VMware Explore. I'm John Furrier, your host of "theCUBE" with Dave Vellante. We're here with two sets. 12th year, Dave, covering VMworld, now VMware Explore, what a journey? I had a little reminiscing from Paul Maritz in 2010, who predicted the future but the timing was off. Raghu predicting the future, but is his timing right with multi-cloud or super-cloud? We're going to get into it. We got three days of wall to wall CUBE coverage, two sets. All the top execs from VMware coming on, including the CEO Raghu himself, Vittorio, Kit Colbert, the whole kit and caboodle of the executive group to talk about the future of VMware, where it's going, and of course the appearance of Hock Tan here from Broadcom, Dave, made an appearance. Michael Dell was also in presence. I get the vibe that there's something going on with Broadcom and VMware beyond just the acquisition. So a lot of people are curious. This event again is notable and historic from the sense of it's VMware Explore not VMworld, so they changed the name, and Broadcom's intent, and they're going to be buying VMworld. Dave, the keynote was anticipated by all, how it was going to go down, what was going to be said. Raghu set the table, I got a ton of notes, I know you do. What's your take? >> Well, you have to start with the Broadcom acquisition. You're right, Hock Tan was in the audience, he stood up, he got a little clap. >> Golf clap. >> He's paying $60 billion for VMware, he better be able to be recognized. And he was here yesterday with Michael Dell at the executive sessions. And their purpose I'm sure, they didn't let us in, but I'm sure the purpose was to make sure that customers were calm, they were comfortable with the direction. Of course, the narrative coming out of VMware is that, hey, they're investigating, they're going deep into our portfolio, and they like what they see, it's going to be all good, it's not going to be like the CA acquisition and de-levering and all that stuff. I still stand by what I wrote in my breaking analysis back in May. The fact is, Broadcom has promised $8.5 billion in EBITDA within three years. That's the only way they get there, is to cut, so that's going to happen. But the interesting dynamic in the market, I don't know if you've noticed this, VMware stock is trading at a 20% discount to what Broadcom is paying for it. So there's a big amount of fluff, if you want to do some arbitration. And I think it's due to the fact that it's a stock and a cash deal, it's a combination deal, and it's not going to close for a year. So there's maybe some skepticism around that. But that was an interesting dynamic. The keynote we'll get into it, but it's all around multi-cloud and what we call super-cloud. >> I have my conspiracy theories on Broadcom, actually they make chips. Looking at all the waves right now in the technology industry, silicon is hot, anyone who's doing custom silicon and putting software on the chip, making purpose built vertical applications is seeing performance gains in cloud and in these applications. So one, I'm really excited by the dots connecting there. But also the VMware story, Dave, is pretty interesting in the sense that timing's everything, the Broadcom acquisition, EBITDA focus might drive behavior. But notable for VMware, is Raghu has been on this vision for years. I remember in 2016 when I interviewed him with Andy Jassy, who was then the CEO of AWS, they had moved everything to Amazon Web Services. And that was the beginning of the vision of multi-cloud and cloud-native. VMware invested a ton, and so we're seeing some fruit come off the tree. If you will, bearing some fruit from that VMware investment in cloud-native across the board which was their bet prior to Broadcom buying them out. So the question is, does Broadcom harvest that, continue that nurturing of that "plantation of goodness" that could come out of that VMware? And again, it's probability, it's not guaranteed. Commentary on Twitter is pretty heavy on, can they win the Devs? Can the new Ops bringing around the front? So, VMware's and Broadcom in a tough position, they bought more than they thought in my opinion. And I think a lot of people are saying, does Broadcom recognize the strategic value of what's coming out of the oven, so to speak, or what's blowing off the tree from VMware? And is it real? That is the number one question. I talk to people in the hallway, that's what they're saying. They want to know what's going to happen with what's around the corner, that's on top of mind of everybody. >> It's a really important question because VMware's future is multi-cloud management, what we call super-cloud. And without Tanzu, and I speculated that Tanzu was probably going to be under the microscope and potentially on the chopping block because they spend a lot of money marketing it, but they're probably not today getting a lot of returns. But without Tanzu, without a cross-cloud PaaS we sometimes call a super PaaS. their strategy doesn't work, it basically fails. And I think what a lot of people are missing, and I saw you chime in on Twitter, is can they win the Devs? Can they win the Devs? This is table stakes. If you don't have a cross-cloud PaaS, and it's really about not necessarily just the Devs, it's about the ops, right? Because now it's about security. Yes, shift left, but shield right. But the DevOps team, the Ops team needs consistency. It's like Adrian Cockcroft says, the Devs, they love to get married, the Ops, they got to clean up after the divorce. And so they need standard- >> You're implying that they'll use any tool for the job and not really worry about lock in. And I think today on the keynote, Deshaun was up there who submitted a comment, "You kids have it easy these days." Implying us old guys, when we coded, you had to do everything yourself. Kelsey Hightower mentioned her support pack desktop edition. The old days when had to build everything by hand, now it's all automated, all goodness. But in all seriousness, the focus there was DevOps has won, DevOps is what the developers are doing. The developers are in the clear right now, as far as I'm concerned. They're sitting on the beach right now, sunglasses on, sun shining, everything's shift left, CI/CD pipeline, cloud-native goodness. If you're a dev, things are much rosier than an Ops person. So DevOps is developer, security and DataOps, is where the action is. So it's not so much IT operations as it is security and data leveling up to the velocity demand of developers and also ease of use. So self-service in the motion of coding, in the pipelining, that's what the developers have to have. And if people don't build that experience from the upside, the new ops is not going to enable the develop, it won't be adopted in my opinion. >> You mentioned Paul Maritz before, his whole thing was any workload, any cloud, the software mainframe, they're talking about any Kubernetes, any cloud. And we got to go through some of the announcements real quick here. VMware Aria is the new multi-cloud management platform. That is the fundamental strategy for going cross-cloud or what we call super-cloud. The vSphere and vSAN 8 are big deals. And as relates to compute with vSphere, they're really pushing that whole DPU. You might remember Project Monterey. Well, Project Monterey is essentially like AWS Nitro, it's the future of computing architecture seven years after AWS introduced it. So AWS has a huge lead here. But it's critical that a company like VMware is able to offer that capability with XPU optionality, GPU, CPU, Arm based, Pensando capabilities, eventually NPUs, other capabilities to bring in and support new workloads, new data driven workloads. So the lot of talk about the whole DPU thing. As I mentioned, Tanzu new version of Tanzu, they talked about edge. They're basically bringing VMware to the edge with an eventual consistency model. >> Hold on, the vSphere thing, just to jump in there real quick. I always thought that that'd be higher up in the keynote. Clearly in the keynote, they flexed their cloud-native positioning, they had to address the Broadcom thing, talk about modern applications. So it felt like they were selling the dream on the front end. And they buried the lead in my opinion, which is vSphere 8. They don't do a lot of vSphere 8 announcements. If you look at the history of VMworld, every few years they got a new release. This was packed with a lot of goodness. And I thought they'd buried that in the keynote. >> I don't know, Raghu mentioned it. Yeah, they had a lot to cover. And then the other thing was they announced support for Red Hat OpenShift. So everybody's like, "Ooh, wow." And then Tanzu for all the Kubernetes versions from the cloud guys. So a lot of announcements, you got to always give VMware props. It's not like they stopped engineering, they have a great engineering culture. And so it's nice to see Project Monterey in particular, go from R&D to actual product. And so we like to see that. >> Even towards the end, now that we're doing the keynote review, Raghu said, "As proud as we are," this is when they started talking about the sustainability, implying they're real proud engineering, and that's a good call out there. I think that's what were trying to get across to Hock Tan, who was sitting in the front row. But Dave, in terms of keynote, my analysis is clear. Raghu was nervous, you can tell. But he's a product guy, he even said that on stage. He set the table at the beginning, I thought really well with modern applications. He had to address the name change, and I thought that was interesting. He actually said, "We built a community with VMworld, but now with multi-cloud, we're going to recall it Explore." Not sure I agree with that. I think VMworld community is still vibrant, and that's why they're here. So I thought that was nice, the way he balance that out, the messaging is good, the graphics and the branding of Explore is world class, I think it's phenomenal. I'm not a big fan of the name change, but I never go well with change there. Hock Tan didn't speak, he did stand up and wave. >> There's no way he's going to get up to speak. >> He didn't speak. So I thought that was interesting front end, so they got that right out of the way. And absolutely you saying last night. And then they got into this digitally smart concept, which I thought was on point. Did not like the great replatforming message. I'm not a big fan of that because it reminded me of the great resignation. And I think there's going to be a lot of memes on that. So not a big fan of the great replatforming. I did like the Cloud Universal pitch. But this whole multi-cloud pitch seems to me, and I want to get your thoughts on this, is that that's what it reminded me of, Paul Maritz. So when Raghu is clearly betting the ranch on multi-cloud, the question is timing. Paul Maritz in 2010 here at VMworld Moscone, he laid out the vision, he was right. But timing was off, the top of the stack didn't materialize. But at the end of the day, ended up being the right architecture. Is VMware too early with multi-cloud, Dave? And that's the question, that's the question on the table. >> Well, so a couple things. So Maritz, the one mistake Maritz made was he really tried to go into apps, remember? So now at least I think Raghu, the current VMware thinking is, we're going to enable apps to be developed. And that is the right thinking. Are they too early or too late with multi-cloud? I think technically it just wasn't feasible, the customers weren't ready for it. VMware moves at the speed of the CIO we like to say. So I think the timing is actually really good because the technical capabilities are now there. You've got to have across-cloud paths, which Tanzu is about. And I think Tanzu was too immature before. They've got the pieces on the DPU side. And the other thing about the timing is now with Broadcom acquiring VMware, the whole non Dell ecosystem has got to be a lot happier. NetApp, guys like that, Cisco. >> Why is that? >> Because Dell, their thumb on the scale, they had the thing rigged, Dell was first in line for everything. When EMC owned VMware, that was the case. But they were required about it, Dell made no concessions. And they just came out and said, "We are going to be VMware first, we are the preferred partner, we do more business with anybody." They really drove a truck through that. And I think it caused a lot of the ecosystem to pull back, like HPE and others to say, "Okay, we're going to find some alternatives here." Now they can really lean in. It's like when HP broken two, that really changed the ecosystem posture with HPE. This is like that, but times 10. >> What did you think about the ecosystem floor last night? When I did a walk of the floor, I thought it was very vibrant, it was not a ghost town at all. >> No, not at all, we saw Alibaba Cloud was there, we saw a lot of- >> AWS. >> Smaller companies >> Microsoft. >> And so I thought it was better than I thought it would be. There's probably what, 7,000 people here I would say? So well off from the 15,000 pre-COVID highs, but still very robust, it's a good crowd. People are excited to be back in person obviously. And I think the messaging was right, John. I think cross-cloud, multi-cloud, super-cloud, that is the future. Well, David Floid took a stab at it and said, "I think it's going to be $100 billion market by the end of the decade." >> Super-cloud is a thing for sure. And I think that came out in Aria announcement, which was basically a rebranding. It's not a new product, essentially it's a cobble together management platform. I thought the Cloud Universal notes here were interesting. The Cloud Universal is the commercial cloud smart component. Meaning they're trying to make that the frame, Dave, for the hyperscalers to come in to a de facto consortium movement. I feel like that's next here. If this Cloud Universal could become the super-cloud consortium, that might give them a better shot. The ecosystem is buzzing, attendance is strong. It's interesting a lot of people were speculating, will this be an event? I thought they did a great job and I thought they came through well with this. >> You were saying about consortium, because have to have the cloud guys in any consortium. But is any one cloud going to drive it? VMware could be- >> AWS >> Could be the driver. >> I'm thinking if I had to make a prediction, looking at what I just saw in the keynote, we'll see what the VMware execs say, If I had to make a guess, I think you're going to have customers, "Let's still double down on VMware stuff." They're going to settle into vSphere and networking compute and storage, the normal stuff that they've got, the software to find data center core as a cloud operational platform. And then you're going to see a lot more AWS migration. You might see that if Broadcom doesn't nurture the fruit coming off the tree, as we mentioned earlier, I think you might see people go more cloud-native. But I think VMware's prepared for that with the hybrid. So it's going to be very interesting to see. I think the winners coming out of this will be AWS, maybe a little bit of trickle into Azure, Alibaba mostly for the European, I mean the China side. But I don't see them playing. Google is a wild card, we'll see it from them. >> I think the other big thing about the timing, to your earlier point is, VMware used to go to market with very bespoke, We got vSAN, we got NSX, we got vSphere, and now they're trying to bring that together. And essentially remember, they used to go to market and say, "Okay, hey, your ELA is up, time to renew." And they're talking to the wrong people. So now they're going forth with the Azure service model, they're going to move to a subscription model. And I think the timing is right for that. I would've liked to see it a little bit before hand, maybe pre COVID would have been better timing. But I think technically, the time is right now for that. >> And I think looking at the acquisition, speculating on that, I think let's discuss how we see things, how they might move forward. Again, we'll ask the guests as much as best as we can and the best they could answer. But let's take this forward. Okay, based upon what I'm seeing here, if I'm Hock Tan in the audience, I'm saying to myself, "Okay, I got more here than I thought I was buying." Maybe I thought I was getting some great EBITDA. I wonder if his outlook changed on how he goes to market with the new VMware post acquisition. So that means in the around February timeframe, I would probably, if I was advising him to say, "Okay, let's keep it as is, let's not do the cut, cut, cut. Maybe trim a little bit here and there." But for the most part, he's got the solid customer base and he's going to have to keep the event. >> Here's the problem with that. They have a very high do-say ratio. They do what they say they're going to do. And as a result, they've promised 8.5 billion in EBITDA within three years out of VMware. And they return 50% of their free cash flow to investors. If they break that promise, their stock will get crushed. I don't think they're going to break that promise. So I think they're going to run. That's something I believe in their playbook that they're not going to change. Now, could they get there without massive cuts? I think it's going to be hard. Can they get there with price increases? Yes. And better efficiency, yes. But they don't have a lot of go to market synergies, John. Broadcom doesn't have a big sales force that they can say, "Okay, we're going to fire all the VMware sales force and you're going to go to market through our channel." Like Oracle would do with their big sales force or a Dell would do with an acquisition, they can't. And so I just don't see how they're going to around it. The only other thing I would say is, to me, I thought the application development piece, the Tanzu piece was very appropriate. And I think they got it. Whether or not they're going to succeed there, we can debate that. But I thought what was missing was there wasn't enough, in my opinion, on their security posture, their security strategy. I thought they gave it lip service with, "Oh yeah, we're going to shift left and dev security, et cetera." They did not go in depth. I think when you talk to someone like Tom Gillis, who really can go deep, I think talking about Barry and the lead, that was not, security is the number one issue of CIOs, CSO. >> Data and security >> At boards, it's number one. And data is the second thing. And those two stories in the keynote where quasi non-existent or/and weak. >> Again, the reason why I believe, and you're discussing it publicly at a high level, is super-cloud is real because it's not just SaaS on cloud, it's hybrid, it's DevOps, it's developer. And security and data operations are just absolutely now leveling up, and the edge is a complete wild card. We met a company last night, they're doing the edge cloud. The edge is going to open up all kinds of new use cases and challenges. And that's on the DataOps, data security side. DevOps, IT operations is already in the dev cycle. If companies aren't doing that, in my opinion, they're not really doing it right. So I think it'll shift to security and Ops and DataOps, that's going to be the action. In the cloud operational framework, that's super-cloud. To me, if I'm Hock Tan, I'm saying, "VMworld, VMware Explore, VMware has to be a core component of super-cloud of the future. Not multi-cloud just a state." I think multi-cloud will be a description of a state, of an architecture, and an outcome, but that's not super-cloud, that's not a functioning operating system, that's not a functioning business driven technology. So I think VMware has the opportunity. So I look at that and say, I got cheap options all the way up to the top of the stack. And super-cloud paths layer, as you describe, that I think is the way to go. >> When you think about how VMware got here, VMware was a $13 billion trailing 12 month revenue company. There aren't a lot of $13 billion software companies. And the way VMware got here, is through great software engineering. They identified problems that the customers had and they went and solved them. They did it with virtualization, they did it with private cloud, they figured out their public cloud strategy. So I think the question for Broadcom is going to be okay, how fast can we monetize that engineering? Can we turn that engineering R&D into dollars? And how fast can we do that? They have two choices in my opinion, keep innovating, which of course we hope that's the case, or act like a private equity firm and just squeeze as much cash out of VMware as possible. Which I don't think would be the right strategy because eventually that says, okay, what's going to happen to Broadcom? How are they going to continue to grow? Are they're going to have to just keep growing through acquisitions? So I think R&D is a really good spend when it's VMware. >> And I think as we wrap up our keynote analysis, one of the things that's going to come out of this as the conversation, no doubt in my mind will be, VMware isn't CA. And the question is, does Broadcom go off their playbook with VMware because of the fact that you look at the sponsorships for the show, we got a robust set of sponsorships for "theCUBE." With two sets, we're booked, fully loaded. Conversation's high, the floor is all about next level cloud operations. This is not a dying market, this is a growth wave coming. So the question, as super-cloud becomes that growth, and everyone's talking about super-cloud there. Some people who don't like the name, which is good, keep grace debate. But there's no doubt that that next wave is the super-cloud philosophy, the super-cloud mindset and architecture, and development environment. And we've documented that on supercloud.world if anyone's interested. But that wave is coming, and you can see it on the floor. Look at the sponsors, look at what people are talking about, Dave. This is not like Broadcom buying VMware and tucking it under and saying, "Okay, hope we can service the customer." There's a real market growth here story. So the question is, what do you do with that? >> Well, so you start with the base. VMware is a very good platform. The reason why they don't have a ton of competition and the reason why, okay, Nutanix can maybe trickle some away, but VMware is really good, it works, it's stable, it recovers from failures, it's got a super strong ecosystem. So you start by building there and then you identify the places where you can spend a dollar and make it 10. >> Well, I was very excited that when we had our super-cloud event, which was a virtual event as a test, we had great VMware support. And a lot of the catalog sessions up here, on Moscone West, where we're sitting, upstairs is all the sessions, they're crowded. And they overlay, Dave, with our narrative and the industry narrative. On the influencer side, you're starting to see the influencers meeting our editorial and pursuing a super-cloud with VMware and their ecosystem. Kind of agreeing super-cloud is real. And I think that is an important note because just last December, when we coined the term at Reinvent, I think it was Reinvent look what's happened. I want to get your thoughts and your reaction to why super-cloud has got so much traction, it's a great buzz with the name. But why is it that our super-cloud, the VMware, and the ecosystem are all aligning with this? Why do you think that's happening? Why do you think that the momentum is accelerating? >> The reason is that, as everybody knows, organizations have multiple clouds, it's a function of shadow Devs, M&A. And so they end up with all these different clouds, all these different projects, different primitives, different APIs, different tool sets. And they called it cloud chaos today. It's accurate, it is cloud chaos. So what's the problem with that? Well, that makes it harder to secure, it makes it harder to govern, it makes it harder to share data, it creates data silos. What's the answer? Well, if you can create a layer that's an abstraction layer that simplifies all that cross cloud data sharing and development and have a consistent set of APIs through a PaaS layer, we call it super PaaS and you are going to have a metadata intelligence that says, "Okay, I'm going to put this here or put that there. And I'm going to deal with latency, I'm going to optimize for whatever purpose, data sharing, or performance or whatever it is." You're going to solve a lot of problems. And you're going to make the CIO's life easier so that they can invest in their own business and their digital transformation and their digital strategy. So that's why people agree. They might not agree with the name, but they certainly agree with the concept of that abstraction layer. >> The name is certainly a better name than multi-cloud, multi-cloud sounds broken. But I think CIOs and CXOs, CISO, CSOs have to get buy-in from their teams. The organic dev relationship with Ops and SecOps and DataOps has to be symbiotic, not conflicting. And I love the chaos story because as Andy Grove, the legend at Intel once said, "Let chaos reign and then reign in the chaos." >> Chaos is cash. >> So in any innovation inflection point, chaos becomes the complexity, abstraction layers, and or innovation takes that complexity away. This is the formula for success. And I think VMware is right in the middle of it. And I think if I'm looking at VMware right now, I'm saying, hey, reign in that chaos right now and you win. So chaos is not a bad thing if you can reign it in, Dave. >> And that's what they've done. You think about what they did with virtualization, it was chaotic, it was wasteful. I think of what they did with private cloud. They said, "Hey IT guys, we're going to help you not get cloudified. We're going to cloudify your presence on-prem and not just throw everything into the cloud." They did a great job there. And now it's all about multi-cloud. >> Well, we're going to reign in the chaos, extract the signal from the noise. Super CUBE here at super-cloud event VMware Explore. Dave, great to kick it off again. Again, 12th year of CUBE coverage. It seems like a lifetime, Dave. Just yesterday we were 2010 >> Amazing, right. We've been in Moscone South, we've been in North, we've been in Las Vegas. Now we're here West, first time in west. >> Some of these developers were in elementary school when we started "theCUBE" here, I was just feeling old relics. Anyway, we're going to bring more action, three days of coverage, thecube.net, check it out. Join our community, join the conversation. As the influences are coming more onto the market, you're seeing a lot more conversations on Twitter, on LinkedIn, on the internet, check it out. Join the conversation. I'm John Furrier and Dave Vellante. We'll be back with more coverage here in San Francisco after this break. (gentle music)

Published Date : Aug 30 2022

SUMMARY :

and of course the appearance with the Broadcom acquisition. And I think it's due to the fact the oven, so to speak, the Devs, they love to get married, But in all seriousness, the VMware Aria is the new buried that in the keynote. And so it's nice to see I'm not a big fan of the name change, going to get up to speak. And I think there's going to And that is the right thinking. of the ecosystem to pull back, the ecosystem floor last night? And I think the messaging was right, John. for the hyperscalers to come in But is any one cloud going to drive it? the software to find data center core And I think the timing is right for that. and the best they could answer. and the lead, that was not, And data is the second thing. And that's on the DataOps, And the way VMware got here, And the question is, and the reason why, And a lot of the catalog sessions up here, And I'm going to deal with latency, And I love the chaos story This is the formula for success. everything into the cloud." extract the signal from the noise. We've been in Moscone on LinkedIn, on the

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
RaghuPERSON

0.99+

Tom GillisPERSON

0.99+

Michael DellPERSON

0.99+

Dave VellantePERSON

0.99+

David FloidPERSON

0.99+

DavePERSON

0.99+

Paul MaritzPERSON

0.99+

2016DATE

0.99+

Adrian CockcroftPERSON

0.99+

Amazon Web ServicesORGANIZATION

0.99+

VMwareORGANIZATION

0.99+

MicrosoftORGANIZATION

0.99+

2010DATE

0.99+

BroadcomORGANIZATION

0.99+

AWSORGANIZATION

0.99+

Andy JassyPERSON

0.99+

JohnPERSON

0.99+

EMCORGANIZATION

0.99+

DellORGANIZATION

0.99+

OracleORGANIZATION

0.99+

12 monthQUANTITY

0.99+

$13 billionQUANTITY

0.99+

San FranciscoLOCATION

0.99+

VMworldORGANIZATION

0.99+

50%QUANTITY

0.99+

$60 billionQUANTITY

0.99+

8.5 billionQUANTITY

0.99+

DeshaunPERSON

0.99+

John FurrierPERSON

0.99+

MaritzPERSON

0.99+

$8.5 billionQUANTITY

0.99+

VittorioPERSON

0.99+

MayDATE

0.99+

Kelsey HightowerPERSON

0.99+

Las VegasLOCATION

0.99+

Hock TanPERSON

0.99+

yesterdayDATE

0.99+

CiscoORGANIZATION

0.99+

$100 billionQUANTITY

0.99+

HPORGANIZATION

0.99+

Cloud UniversalORGANIZATION

0.99+

$13 billionQUANTITY

0.99+

AlibabaORGANIZATION

0.99+

BarryPERSON

0.99+

Kit ColbertPERSON

0.99+

Andy GrovePERSON

0.99+

IntelORGANIZATION

0.99+

two storiesQUANTITY

0.99+

The Great Supercloud Debate | Supercloud22


 

[Music] welcome to the great super cloud debate a power panel of three top technology industry analysts maribel lopez is here she's the founder and principal analyst at lopez research keith townsend is ceo and founder of the cto advisor and sanjeev mohan is principal at sanjmo super cloud is a term that we've used to describe the future of cloud architectures the idea is that super clouds are built on top of hyperscaler capex infrastructure and the idea is it goes beyond multi-cloud the premise being that multi-cloud is primarily a symptom of multi-vendor or m a or both and results in more stove we're going to talk about that super cloud's meant to connote a new architecture that leverages the underlying primitives of hyperscale clouds but hides and abstracts that complexity of each of their respective clouds and adds new value on top of that with services and a continuous experience a similar or identical experience across more than one cloud people may say hey that's multi-cloud we're going to talk about that as well so with that as brief background um i'd like to first welcome our painless guys thanks so much for coming on thecube it's great to see you all again great to be here thank you to be here so i'm going to start with maribel you know what i just described what's your reaction to that is it just like what like cloud is supposed to be is that really what multi-cloud is do you agree with the premise that multi-cloud has really been you know what like chuck whitten from dell calls it it's been multi-cloud by default i call it a symptom of multi-vendor what's your take on on what this is oh wow dave another term here we go right more more to define for people but okay the reality is i agree that it's time for something new something evolved right whether we call that super cloud or something else i you know i don't want to really debate the term but we need to move beyond where we are today in multi-cloud and into if we want to call it cloud 5 multi-cloud 2 whatever we want to call it i believe that we're at the next generation that we have to define what that next generation is but if you think about it we went from public to private to hybrid to multi and every time you have a discussion with somebody about cloud you spend 10 minutes defining what you're talking about so this doesn't seem any different to me so let's just go with super cloud for the moment and see where we go and you know if you're interested after everybody else makes their comments i got a few thoughts about what super cloud might mean as well yeah great so i and i agree with you when we like i said in a recent post you could call it cl cloud you know multi-cloud 2.0 but it's something different is happening and sanjeev i know you're not a you're not a big fan of buzz words either but i wonder if you could weigh in on this topic uh you mean by the way sanjeev is at the mit cdo iq conference a great conference uh in boston uh and so he's it's a public place so we're going to have i think you viewed his line when he's not speaking please go ahead yeah so you know i come from a pedigree of uh being an analyst of uh firms that love inventing new terms i am not a big fan of inventing new terms i feel that when we come up with a new term i spend all my time standing on a stage trying to define what it is it takes me away from trying to solve the problem so so i'm you know i find these terms to be uh words of convenience like for example big data you know big data to me may not mean anything but big data connotes some of this modern way of handling vast volumes of data that traditional systems could not handle so from that point of view i'm i'm completely okay with super cloud but just inventing a new term is what i have called in my previous sessions tyranny of jargons where we have just too many jargons and uh and they resonate with i.t people they do not resonate with the business people business people care about the problem they don't care about what we and i t called them yeah and i think this is a really important point that you make and by the way we're not trying to create a new industry category per se yeah we leave that to gartner that's why actually i like super cloud because nobody's going to use that no vendor's going to use the term super cloud it's just too buzzy so so but but but it brings up the point about practitioners and so keith i want to bring you in so the what we've talked about and i'll just sort of share some some thoughts on the problems that we see and and get keith get your practitioner view most clouds most companies use multiple clouds we all kind of agree on that i think and largely these clouds operate in silos and they have their own development environment their own operating environment different apis different primitives and the functionality of a particular cloud doesn't necessarily extend to other clouds so the problem is that increases friction for customers increases cost increases security risk and so there's this promise maribel multi-cloud 2.0 that's going to solve that problem so keith my question to you is is is that an accurate description of the problem that practitioners face today do what did i miss and i wonder if you could elaborate so i think we'll get into some of the detail later on why this is a problem specifically around technologies but if we think about it in the abstract most customers have their hands full dealing with one cloud like we'll you know through m a and such and you zoom in and you look at companies that have multiple clouds or multi-cloud from result of mma mna m a activity you'll see that most of that is in silos so organizationally the customer may have multiple clouds but sub orchid silos they're generally a single silo in a single cloud so as you think about being able to take advantage of of tooling across the multicloud of what dave you guys are calling the super cloud this becomes a serious problem it's just a skill problem it's too much capability uh across too many things that look completely different than another okay so dave can i pick up on that please i'd love i was gonna just go to you maribel please chime in here okay so if we think about what we're talking about with super cloud and what keith just mentioned remember when we went to see tcp ip and the whole idea was like how do we get computers to talk to each other in a more standardized way how do we get data to move in a more standardized way i think that the problem we have with multi-cloud right now is that we don't have that so i think that's sort of a ground level of getting us to your super cloud premise is that and and you know google's tried it with anthony's like everybody every hyperscaler has tried their like right one to run anywhere but that abstraction layer you talk about what whatever we want to call it is super necessary and it's sort of the foundation so if you really think about it we've spent like 15 years or so building out all the various components of cloud and now's the time to take it so that cloud is actually more of an operating model versus a place there's at least a base level of it that is vendor neutral and then to your point the value that's going to be built on top of that you know people been trying to commoditize the basic infrastructure for a while now and i think that's what you're seeing in your super cloud multi-cloud whatever you want to call it the infrastructure is the infrastructure and then what would have been traditionally that past layer and above is where we're going to start to see some real innovation but we still haven't gotten to that point where you can do visibility observability manageability across that really complex cloud stack that we have the reason i the reason i love that tcpip example hm is because it changed the industry and it had an ecosystem effect in sanjiv the the the example that i first example that i used was snowflake a company that you're very familiar with that is sort of hiding all that complexity and right and so we're not there yet but please chime in on this topic uh you gotta you gotta view it again uh after you building upon what maribel said you know to me uh this sounds like a multi-cloud operating system where uh you know you need that kind of a common uh set of primitives and layers because if you go in in the typical multi-cloud process you've got multiple identities and you can't have that you how can you govern if i'm if i have multiple identities i don't have observability i don't know what's going on across my different stacks so to me super cloud is that call it single pane of glass or or one way through which i'm unifying my experience my my technology interfaces my integration and uh and i as an end user don't even care which uh which cloud i'm in it makes no difference to me it makes a difference to the vendor the vendor may say this is coming from aws and this is coming from gcp or azure but to the end user it is a consistent experience with consistent id and and observability and governance so that to me makes it a big difference and so one of floyer's contribution conversation was in order to have a super cloud you got to have a super pass i'm like oh boy people are going to love that but the point being that that allows a consistent developer experience and to maribel's earlier point about tcp it explodes the ecosystem because the ecosystem can now write to that super pass if you will those apis so keith do you do do you buy that number one and number two do you see that industries financial services and healthcare are actually going to be on clouds or what we call super clouds so sanjeev hit on a really key aspect of this is identity let's make this real they you love talk about data collaboration i love senji's point on the business user kind of doesn't care if this is aws versus super cloud versus etc i was collaborating with the client and he wanted to send video file and the video file uh his organization's access control policy didn't allow him to upload or share the file from their preferred platform so he had to go out to another cloud provider and create yet another identity for that data on the cloud same data different identity a proper super cloud will enable me to simply say as a end user here's a set of data or data sets and i want to share a collaboration a collaborator and that requires cross identity across multiple clouds so even before we get to the past layer and the apis we have to solve the most basic problem which is data how do we stop data scientists from shipping snowballs to a location because we can't figure out the identity the we're duplicating the same data within the same cloud because we can't share identity across customer accounts or etc we we have to solve these basic thoughts before we get to supercloud otherwise we get to us a turtles all the way down thing so we'll get into snowflake and what snowflake can do but that's what happens when i want to share my snowflake data across multiple clouds to a different platform yeah you have to go inside the snowflake cloud which leads right so i would say to keith's question sanjeev snowflake i think is solving that problem but then he brings up the other problem which is what if i want to share share data outside the snowflake cloud so that gets to the point of visit open is it closed and so sanji chime in on the sort of snowflake example and in maribel i wonder if there are networking examples because that's that's keith's saying you got to fix the plumbing before you get these higher level abstractions but sanji first yeah so i so i actually want to go and talk a little bit about network but from a data and analytics point of view so i never built upon what what keith said so i i want to give an example let's say i am getting fantastic web logs i and i know who uh uh how much time they're spending on my web pages and which pages they're looking at so i have all of that now all of that is going into cloud a now it turns out that i use google analytics or maybe i use adobe's you know analytics uh suite now that is giving me the business view and i'm trying to do customer journey analytics and guess what i now have two separate identities two separate products two separate clouds if i and i as an id person no problem i can solve any problem by writing tons of code but why would i do that if i can have that super pass or a multi-cloud layout where i've got like a single way of looking at my network traffic my customer metrics and i can do my customer journey analytics it solves a huge problem and then i can share that data with my with my partners so they can see data about their products which is a combination of data from different uh clouds great thank you uh maribel please i think we're having a lord of the rings moment here with the run one room to rule them all concept and i'm not sure that anybody's actually incented to do that right so i think there's two levels of the stack i think in the basic we're talking a lot about we don't have the basic fundamentals of how do you move data authenticate data secure data do data lineage all that stuff across different clouds right we haven't even spoken right now i feel like we're really just talking about the public cloud venue and we haven't even pulled in the fact that people are doing hybrid cloud right so hybrid cloud you know then you're talking about you've got hardware vendors and you've got hyperscaler vendors and there's two or three different ways of doing things so i honestly think that something will emerge like if we think about where we are in technology today it's almost like we need back to that operating system that sanji was talking about like we need a next generation operating system like nobody wants to build the cloud mouse driver of the 21st century over and over again right we need something like that as a foundation layer but then on top of it you know there's obviously a lot of opportunity to build differentiation like when i think back on what happened with cloud amazon remained aws remained very powerful and popular because people invested in building things on amazon right they created a platform and it took a while for anybody else to catch up to that or to have that kind of presence and i still feel that way when i talk to companies but having said that i talked to retail the other day and they were like hey we spent a long time building an abstraction layer on top of the clouds so that our developers could basically write once and run anywhere but they were a massive global presence retailer that's not something that everybody can do so i think that we are still missing a gap i don't know if that exactly answers your question but i i do feel like we're kind of in this chicken and egg thing which comes first and nobody wants to necessarily invest in like oh well you know amazon has built a way to do this so we're all just going to do it the amazon way right it seems like that's not going to work either but i think you bring up a really important point which there is going to be no one ring to rule them all you're going to have you know vmware is going to solve its multi-cloud problem snowflake's going to do a very has a very specific you know purpose-built system for it itself databricks is going to do its thing and it's going to be you know more open source i would companies like aviatrix i would say cisco even is going to go out and solve this problem dell showed at uh at dell tech world a thing called uh project alpine which is basically storage across clouds they're going to be many super clouds we're going to get maybe super cloud stove pipes but but the point is however for a specific problem in a set of use cases they will be addressing those and solving incremental value so keith maybe we won't have that single cloud operating you know system but we'll have multiple ones what are your thoughts on that yeah we're definitely going to have multiple ones uh the there is no um there is no community large enough or influential enough to push a design take maribel's example of the mega retailer they've solved it but they're not going to that's that's competitive that's their competitive advantage they're not going to share that with the rest of us and open source that and force that upon the industry via just agreement from everyone else so we're not going to get uh the level of collaboration either originated by the cloud provider originated from user groups that solves this problem big for us we will get silos in which this problem is solved we'll get groups working together inside of maybe uh industry or subgroups within the industry to say that hey we're going to share or federate identity across our three or four or five or a dozen organizations we'll be able to share data we're going to solve that data problem but in the same individual organizations in another part of the super cloud problem are going to again just be silos i can't uh i can't run machine learning against my web assets for the community group that i run because that's not part of the working group that solved a different data science problem so yes we're going to have these uh bifurcations and forks within the super cloud the question is where is the focus for each individual organization where do i point my smart people and what problems they solve okay i want to throw out a premise and get you guys reaction to it because i think this again i go back to the maribel's tcpip example it changed the industry it opened up an ecosystem and to me this is what digital transformation is all about you've got now industry participants marc andreessen says every company is a software company you've now got industry participants and here's some examples it's not i wouldn't call them true super clouds yet but walmart's doing their hybrid thing with azure you got goldman sachs announced at the last reinvent and it's going to take its tools its software its data and which is on-prem and connect that to the aws cloud and actually deliver a service capital one we saw sanjiv at the snowflake summit is is taking their tooling and doing it now granted just within snowflake and aws but i fully expect them to expand that across other clouds these are industry examples capital one software is the name of the division that are now it's to the re reason why i don't get so worried that we're not solving the lord of the rings problem that maribel mentioned is because it opens up tremendous opportunities for companies we got like just under five minutes left i want to throw that out there and see what you guys think yeah i would just i want to build upon what maribel said i love what she said you're not going to build a mouse driver so if multi-cloud supercloud is a multi-cloud os the mouse driver would be identity or maybe it's data quality and to teach point that data quality is not going to come from a single vendor that is going to come from a different vendor whose job is to to harmonize data because there might be data might be for the same identity but it may be a different granularity level so you cannot just mix and match so you need to have some sort of like resolution and that is is an example of a driver for multi-cloud interesting okay so you know octa might be the identity cloud or z scaler might be the security cloud or calibre has its cloud etc any thoughts on that keith or maribel yeah so let's talk about where the practical challenges run into this we did some really great research that was sponsored by one of the large cloud providers in which we took all we looked at all the vmware cloud solutions when i say vmware cloud vmware has a lot of products across multi-cloud now in the rock broadcloud portfolio but we're talking about the og solution vmware vsphere it would seem like on paper if i put vmware vsphere in each cloud that is therefore a super cloud i think we would all agree to that in principle what we found in our research was that when we put hands on keyboard the differences of the clouds show themselves in the training gap and that skills gap between the clouds show themselves if i needed to expose less our favorite friend a friend a tc pip address to the public internet that is a different process on each one of the clouds that needs to be done on each one of the clouds and not abstracted in vmware vsphere so as we look at the nuance yes we can give the big controls but where the capital ones the uh jp morgan chase just spent two billion dollars on this type of capability where the spin effort is done is taking it from that 80 percent to that 90 95 experience and that's where the effort and money is spent on that last mile maribel we're out of time but please you know bring us home give us your closing thoughts hey i think we're still going to be working on what the multi-cloud thing is for a while and you know super cloud i think is a direction of the future of cloud computing but we got some real problems to solve around authentication uh identity data lineage data security so i think those are going to be sort of the tactical things that we're working on for the next couple years right guys always a pleasure having you on the cube i hope we see you around keith i understand you're you're bringing your airstream to vmworld or vmware explorer putting it on the on the floor i can't wait to see that and uh mrs cto advisor i'm sure we'll be uh by your side so looking forward to that hopefully sanjeev and maribel we'll see you uh on the circuit as well yes hope to see you there right looking forward to hopefully even doing some content with you guys at vmware explorer too awesome looking forward all right keep it right there for more content from super cloud 22 right back [Music] you

Published Date : Jul 20 2022

SUMMARY :

that problem so keith my question to you

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
marc andreessenPERSON

0.99+

maribel lopezPERSON

0.99+

threeQUANTITY

0.99+

amazonORGANIZATION

0.99+

10 minutesQUANTITY

0.99+

twoQUANTITY

0.99+

two billion dollarsQUANTITY

0.99+

maribelPERSON

0.99+

sanjeevPERSON

0.99+

fourQUANTITY

0.99+

ciscoORGANIZATION

0.99+

fiveQUANTITY

0.99+

keithPERSON

0.99+

80 percentQUANTITY

0.99+

sanjiPERSON

0.99+

walmartORGANIZATION

0.99+

aviatrixORGANIZATION

0.99+

bostonLOCATION

0.99+

sanjmoORGANIZATION

0.99+

cto advisorORGANIZATION

0.99+

two levelsQUANTITY

0.98+

15 yearsQUANTITY

0.98+

sanjeev mohanPERSON

0.98+

21st centuryDATE

0.98+

more than one cloudQUANTITY

0.97+

uh project alpineORGANIZATION

0.96+

each oneQUANTITY

0.96+

awsORGANIZATION

0.96+

lopezORGANIZATION

0.96+

each cloudQUANTITY

0.96+

under five minutesQUANTITY

0.96+

senjiPERSON

0.96+

todayDATE

0.95+

oneQUANTITY

0.94+

first exampleQUANTITY

0.94+

firstQUANTITY

0.94+

vmwareTITLE

0.93+

bothQUANTITY

0.93+

one roomQUANTITY

0.92+

vmworldORGANIZATION

0.92+

azureTITLE

0.92+

single cloudQUANTITY

0.92+

keith townsendPERSON

0.91+

one wayQUANTITY

0.91+

googleORGANIZATION

0.9+

three different waysQUANTITY

0.89+

two separateQUANTITY

0.89+

single wayQUANTITY

0.89+

eachQUANTITY

0.88+

adobeTITLE

0.88+

each individual organizationQUANTITY

0.86+

gartnerORGANIZATION

0.86+

dellORGANIZATION

0.86+

awsTITLE

0.86+

vmwareORGANIZATION

0.85+

uhORGANIZATION

0.85+

single paneQUANTITY

0.84+

next couple yearsDATE

0.83+

single vendorQUANTITY

0.83+

a dozen organizationsQUANTITY

0.83+

floyerPERSON

0.82+

tons of codeQUANTITY

0.81+

one cloudQUANTITY

0.81+

super cloudTITLE

0.8+

maribelLOCATION

0.79+

three top technology industry analystsQUANTITY

0.78+

dell tech worldORGANIZATION

0.78+

davePERSON

0.77+

cloudsORGANIZATION

0.77+

theCUBE on Supercloud | AWS Summit New York 2022


 

welcome back to thecube's live coverage coming to you from the big apple in new york city we're talking all things aws summit but right now i've got two powerhouses you know them you love them john furrier dave vellante going to be talking about super cloud guys we've been talking a lot about this there's a big event coming up on the cube august 9th and i gotta start dave with you because we talk about it pretty much in every interview where it's relevant why super cloud yeah so john furrier years ago started a tradition lisa prior to aws which was to lay down the expectation for our audiences what they should be looking for at aws reinvent okay john when did that start 2012 2013. actually 2013 was our first but 2015 was the first time when we get access to andy jassy who wasn't doing any briefings and we realized that the whole industry started looking at amazon web services as a structural forcing function of massive change uh some say inflection point we were saying complete redefinition so you wrote the trillion dollar baby yeah right which actually turns into probably multi-trillion dollars we got it right on that one surprisingly it was pretty obvious so every year since then john has published the seminal article prior to reinvent so this year we were talking we're coming out of the isolation economy and john hedwig also also adam silevski was the new ceo so we had a one-on-one with adam that's right and then that's where the convergence between andy jassy and adam celebski kicked in which is essentially those guys work together even though they he went off and boomerang back in as they say in aws but what's interesting was is that adam zluski's point of view piggyback jassy but he had a different twist yeah some so you know low you know people who didn't have really a lot of thought into it said oh he's copying microsoft moving up the stack we're like no no no no no something structural is happening again and so john wrote the piece and he started sharing it we're collaborating he said hey dave take a take a look add your perspectives and then jerry chen had just written castles in the cloud and he talked about sub-markets and we were sort of noodling and one of the other things was in 2018 2019 around that time at aws re invent there was this friction between like snowflake and aws because redshift separated compute from storage which was snowflake's whole thing now fast forward to 2021 after we're leaving you know the covert economy by the way everyone was complaining they are asking jassy are you competing with your ecosystem the classic right trope and then in in remember jason used to use cloudera as the example i would like to maybe pick a better example snowflake became that example and what the transition was it went from hey we're kind of competitive for sure there's a lot of examples but it went from we're competitive they're stealing our stuff to you know what we're making so much money building on top of aws specifically but also the clouds and cross clouds so we said there's something new happening in the ecosystem and then just it popped up this term super cloud came up to connote a layer that floats above the hyperscale capex not is it's not pass it's not sas it's the combination of the of those things on top of a new digital infrastructure and we chose the term super cloud we liked it better than multi-cloud because multiplayer at least one other point too i think four or five years earlier dave and i across not just aws reinvent all of our other events we were speculating that there might be a tier two cloud service provider models and we've talked with intel about this and others just kind of like evaluating it staring at it and we met by tier two like maybe competing against amazon but what happened was it wasn't a tier two cloud it was a super cloud built on the capex of aws which means initially was a company didn't have to build aws to be like aws and everybody wanted to be like aws so we saw the emergence of the smart companies saying hey let's refactor our business model in the category or industry scope and to dominate with cloud scale and they did it that then continued that was the premise of chen's post which was kind of rift on the cube initially which is you can have a moat in a castle in the cloud and have a competitive advantage and a sustainable differentiation model and that's exactly what's happening and then you introduce the edge and hybrid you now have a cloud operating model that that super cloud extends as a substrate across all environments so it's not multi-cloud which sounds broken and like put it distance jointed joint barriers hybrid cloud which is the hybrid operating model at scale and you don't have to be amazon to take advantage of all the value creation since they took care of the capex now they win too on the other side because because they're selling ec2 and storage and ml and ai and this is new and this is information that people don't might not know about internally at aws there was a debate dave okay i heard this from sources do we go all in and compete and just own the whole category or open the ecosystem and coexist with [ __ ] why do we have these other companies or snowflake and guess what the decision was let's make it open ecosystem and let's have our own offerings as well and let the winner take off smart because they can't hire enough people and we just had aws and snowflake on the cube a few weeks ago talking about the partnership the co-op petition the value in it but what's been driving it is the voice of the customer but i want to ask you paint the picture for the audience of the critical key components of super cloud what are those yeah so i think first and foremost super cloud as john was saying it's not multi-cloud chuck whitten had a great phrase at dell tech world he said multi-cloud by default right versus multi-cloud by design and multi-cloud has been by default it's been this sort of i run in aws and i run my stack in azure or i run my stack in gcp and it works or i wrap my stack in a container and host it in the cloud that's what multi-cloud has been so the first sort of concept is it's a layer that that abstracts the underlying complexity of all the clouds all the primitives uh it takes advantage of maybe graviton or microsoft tooling hides all that and builds new value on top of that the other piece of of super cloud is it's ecosystem driven really interesting story you just told because literally amazon can't hire everybody right so they have to rely on the ecosystem for feature acceleration so it's it also includes a path layer a super pass layer we call it because you need to develop applications that are specific to the problem that the super cloud is solving so it's not a generic path like openshift it's specific to whether it's snowflake or [ __ ] or aviatrix so that developers can actually build on top of and not have to worry about that underlying and also there's some people that are criticizing um what we're doing in a good way because we want to have an open concept sure but here's the thing that a lot of people don't understand they're criticizing or trying to kind of shoot holes in our new structural change that we're identifying to comparing it to old that's like saying mainframe and mini computers it's like saying well the mainframe does it this way therefore there's no way that's going to be legitimate so the old thinking dave is from people that have no real foresight in the new model right and so they don't really get it right so what i'm saying is that we look at structural change structural change is structural change it either happens or it doesn't so what we're observing is the fact that a snowflake didn't design their solution to be multi-cloud they did it all on aws and then said hey why would we why are we going to stop there let's go to azure because microsoft's got a boatload of customers because they have a vertically stacking integration for their install base so if i'm snowflake why wouldn't i be on azure and the same for gcp and the same for other things so this idea that you can get the value of an amp what amazon did leverage and all that value without paying for it up front is a huge dynamic and that's not just saying oh that's cloud that's saying i have a cloud-like scale cloud-like value proposition which which will look like an ecosystem so to me the acid test is if i build on top of say [ __ ] or say snowflake or super cloud by default i'm either a category leader i own the data at scale or i'm sharing data at scale and i have an ecosystem people are building on top of me so that's a platform so that's really difficult so what's happening is these ecosystem partners are taking advantage as john said of all the hyperscale capex and they're building out their version of a distributed global system and then the other attribute of super cloud is it's got metadata management capability in other words it knows if i'm optimizing for latency where in the super cloud to get the data or how to protect privacy or sovereignty or how many copies to make to have the proper data protection or where the air gap should be for ransomware so these are examples of very specific purpose-built super clouds that are filling gaps that the hyperscalers aren't going after what's a good example of a specific super cloud that you think really articulates what you guys are talking about i think there are a lot of them i think snowflake is a really good example i think vmware is building a multi-cloud management system i think aviatrix and virtual you know private cloud networking and for high performance networking i think to a certain extent what oracle is doing with azure is is is definitely looks like a super cloud i think what capital one is doing by building on to taking their own tools and and and moving that to snowflake now that they're not cross-cloud yet but i predict that they will be of i think uh what veeam is doing in data protection uh dell what they showed at dell tech world with project alpine these are all early examples of super well here's an indicator here's how you look at the example so to me if you're just lifting and shifting that was the first gen cloud that's not changing the business model so i think the number one thing to look at is is the company whether they're in a vertical like insurance or fintech or financial are they refactoring their spend not as an i.t cost but as a refactoring of their business model yes like what snowflake did dave or they say okay i'm gonna change how i operate not change my business model per se or not my business identity if i'm gonna provide financial services i don't have to spend capex it's operating expenses i get the capex leverage i redefine i get the data at scale and now i become a service provider to everybody else because scale will determine the power law of who wins in the verticals and in the industry so we believe that snowflake is a data warehouse in the cloud they call it a data cloud now i don't think snowflake would like that dave i call them a data warehouse no a super data cloud but but so the other key here is you know the old saying that andreessen came up with i guess with every company's a software company well what does that mean it means every company software company every company is going digital well how are they going to do that they're going to do that by taking their business their data their tooling their proprietary you know moat and moving that to the cloud so they can compete at scale every company should be if they're not thinking about doing a super cloud well walmart i think i think andreessen's wrong i think i would revise and say that andreessen and the brain trust at andreas and horowitz is that that's no longer irrelevant every company isn't a software company the software industry is called open source everybody is an open source company and every company will be at super cloud that survives yeah to me to me if you're not looking at super cloud as a strategy to get value and refactor your business model take advantage of what you're paying it for but you're paying now in a new way you're building out value so that's you're either going to be a super cloud or get services from a super cloud so if you're not it's like the old joke dave if you're at the table and you don't know who the sucker is it's probably you right so if you're looking at the marketplace you're saying if i'm not a super cloud i'm probably gonna have to work with one because they're gonna have the data they're gonna have the insights they're gonna have the scale they're going to have the castle in the cloud and they will be called a super cloud so in customer conversations helping customers identify workloads to move to the cloud what are the ideal workloads and services to run in super cloud so i honestly think virtually any workload could be a candidate and i think that it's really the business that they're in that's going to define the workload i'll say what i mean so there's certain businesses where low latency high performance transactions are going to matter that's you know kind of the oracle's business there's certain businesses like snowflake where data sharing is the objective how do i share data in a governed way in a secure way in any location across the world that i can monetize so that's their objective you take a data protection company like veeam their objective is to protect data so they have very specific objectives that ultimately dictate what the workload looks like couchbase is another one they they in my opinion are doing some of the most interesting things at the edge because this is where when you when you really push companies in the cloud including the hyperscalers when they get out to the far edge it starts to get a little squishy couchbase actually is developing capabilities to do that and that's to me that's the big wild card john i think you described it accurately the cloud is expanding you've got public clouds no longer just remote services you're including on-prem and now expanding out to the near edge and the deep what do you call it deep edge or far edge lower sousa called the tiny edge right deep edge well i mean look at look at amazon's outpost announcement to me hp e is opportunity dell has opportunities the hardware box guys companies they have an opportunity to be that gear to be an outpost to be their own output they get better stacks they have better gear they just got to run cloud on it yeah right that's an edge node right so so that's that would be part of the super cloud so this is where i think people that are looking at the old models like operating systems or systems mindsets from the 80s they look they're not understanding the new architecture what i would say to them is yeah i hear what you're saying but the structural change is the nodes on the network distributed computing if you will is going to run hybrid cloud all the way across the fact that it's multiple clouds is just coincidence on who's got the best capex value that people build on for their super cloud capability so why wouldn't i be on azure if microsoft's going to give me all their customers that are running office 365 and teams great if i want to be on amazon's kind of sweet which is their ecosystem why wouldn't i want to tap into that so again you can patch it all together in the super cloud so i think the future will be distributed computing cloud architecture end to end and and we felt that was different from multi-cloud you know if you want to call it multi-cloud 2.0 that's fine but you know frankly you know sometimes we get criticized for not defining it tightly enough but we continue to evolve that definition i've never really seen a great definition from multi-cloud i think multi-cloud by default was the definition i run in multiple clouds you know it works in azure it's not a strategy it's a broken name it's a symptom right it's a symptom of multi-vendor is really what multi-cloud has been and so we felt like it was a new term of examples look what we're talking about snowflake data bricks databricks another good one these are these are examples goldman sachs and we felt like the term immediately connotes something bigger something that sits above the clouds and is part of a digital platform you know the people poo poo the metaverse because it's really you know not well defined but every 15 or 20 years this industry goes through dave let me ask you a question so uh lisa you too if i'm in the insurance vertical uh and i'm a i'm an insurance company i have competitors my customers can go there and and do business with that company and you know and they all know that they go to the same conferences but in that sector now you have new dynamics your i.t spend isn't going to keep the lights on and make your apps work your back-end systems and your mobile app to get your whatever now it's like i have cloud scale so what if i refactored my business model become a super cloud and become the major primary service provider to all the competitors and the people that are the the the channel partners of the of the ecosystem that means that company could change the category totally okay and become the dominant category leader literally in two three years if i'm geico okay i i got business in the cloud because i got the app and i'm doing transactions on geico but with all the data that they're collecting there's adjacent businesses that they can get into maybe they're in the safety business maybe they can sell data to governments maybe they can inform logistics and highway you know patterns roll up all the people that don't have the same scale they have and service them with that data and they get subscription revenue and they can build on top of the geico super insurance cloud right yes it's it's unlimited opportunity that's why it's but the multi-trillion dollar baby so talk to us you've done an amazing job of talking which i know you would of why super cloud what it is the critical components the key workloads great examples talk to us in our last few minutes about the event the cube on super cloud august 9th what's the audience going to who are they going to hear from what are they going to learn yeah so august 9th live out of our palo alto studio we're going to have a program that's going to run from 9 a.m to 1 p.m and we're going to have a number of industry luminaries in there uh kit colbert from from vmware is going to talk about you know their strategy uh benoit de javille uh from snowflake is going to is going to be there of g written house of sky-high security um i i i don't want to give it away but i think steve mullaney is going to come on adrian uh cockroft is coming on the panel keith townsend sanjeev mohan will be on so we'll be running that live and also we'll be bringing in pre-recorded interviews that we'll have prior to the show that will run post the live event it's really a pilot virtual event we want to do a physical event we're thinking but the pilot is to bring our trusted friends together they're credible that have industry experience to try to understand the scope of what we're talking about and open it up and help flesh out the definition make it an open model where we can it's not just our opinion we're observing identifying the structural changes but bringing in smart people our smart friends and companies are saying yeah we get behind this because it has it has legs for a reason so we're gonna zoom out and let people participate and let the conversation and the community drive the content and that is super important to the cube as you know dave but i think that's what's going on lisa is that it's a pilot if it has legs we'll do a physical event certainly we're getting phones to bring it off the hook for sponsors so we don't want to go and go all in on sponsorships right now because it's not about money making it's about getting that super cloud clarity around to help companies yeah we want to evolve the concept and and bring in outside perspectives well the community is one of the best places to do that absolutely organic it's an organic community where i mean people want to find out what's going on with the best practices of how to transform a business and right now digital transformation is not just getting digitized it's taking advantage of the technology to leapfrog the competition so all the successful people we talked to at least have the same common theme i'm changing my game but not changing my game to the customer i'm just going to do it differently better faster cheaper more efficient and have higher margins and beat the competition that's the company doesn't want to beat the competition go to thecube.net if you're not all they're all ready to register for the cube on supercloud august 9th 9am pacific you won't want to miss it for john furrier and dave vellante i'm lisa martin we're all coming at you from new york city at aws summit 22. i'll be right back with our next guest [Music] you

Published Date : Jul 14 2022

SUMMARY :

and the deep what do you call it deep

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
adam silevskiPERSON

0.99+

jerry chenPERSON

0.99+

john hedwigPERSON

0.99+

2015DATE

0.99+

thecube.netOTHER

0.99+

august 9thDATE

0.99+

lisa martinPERSON

0.99+

amazonORGANIZATION

0.99+

john furrierPERSON

0.99+

adamPERSON

0.99+

august 9thDATE

0.99+

2013DATE

0.99+

2012DATE

0.99+

2018DATE

0.99+

new yorkLOCATION

0.99+

microsoftORGANIZATION

0.99+

9 a.mDATE

0.99+

adam celebskiPERSON

0.99+

johnPERSON

0.99+

davePERSON

0.99+

2021DATE

0.99+

1 p.mDATE

0.99+

dave vellantePERSON

0.99+

august 9th 9amDATE

0.99+

multi-trillion dollarsQUANTITY

0.99+

first timeQUANTITY

0.99+

walmartORGANIZATION

0.99+

multi-trillion dollarQUANTITY

0.99+

adam zluskiPERSON

0.98+

steve mullaneyPERSON

0.98+

20 yearsQUANTITY

0.98+

firstQUANTITY

0.98+

first genQUANTITY

0.97+

jasonPERSON

0.97+

two three yearsQUANTITY

0.97+

new york cityLOCATION

0.96+

andy jassyPERSON

0.96+

project alpineORGANIZATION

0.96+

awsORGANIZATION

0.96+

this yearDATE

0.96+

aviatrixORGANIZATION

0.96+

geicoORGANIZATION

0.95+

gravitonORGANIZATION

0.95+

super cloudORGANIZATION

0.92+

twoQUANTITY

0.92+

oneQUANTITY

0.92+

andreasORGANIZATION

0.92+

vmwareORGANIZATION

0.91+

jassyPERSON

0.91+

80sDATE

0.89+

adrianPERSON

0.89+

yearsDATE

0.89+

trillion dollarQUANTITY

0.88+

palo alto studioORGANIZATION

0.88+

tier twoQUANTITY

0.88+

lot of peopleQUANTITY

0.87+

office 365TITLE

0.87+

keith townsendPERSON

0.86+

azureTITLE

0.85+

a few weeks agoDATE

0.84+

azureORGANIZATION

0.84+

every companyQUANTITY

0.8+

andreessenPERSON

0.8+

intelORGANIZATION

0.8+

reinventEVENT

0.79+

clouderaTITLE

0.79+

Breaking Analysis: Answering the top 10 questions about supercloud


 

>> From theCUBE Studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE and ETR. This is "Breaking Analysis" with Dave Vallante. >> Welcome to this week's Wikibon CUBE Insights powered by ETR. As we exited the isolation economy last year, Supercloud is a term that we introduced to describe something new that was happening in the world of cloud. In this "Breaking Analysis," we address the 10 most frequently asked questions we get around Supercloud. Okay, let's review these frequently asked questions on Supercloud that we're going to try to answer today. Look at an industry that's full of hype and buzzwords. Why the hell does anyone need a new term? Aren't hyperscalers building out Superclouds? We'll try to answer why the term Supercloud connotes something different from hyperscale clouds. And we'll talk about the problems that Superclouds solve specifically, and we'll further define the critical aspects of a Supercloud architecture. We often get asked, "Isn't this just multi-cloud?" Well, we don't think so, and we'll explain why in this "Breaking Analysis." Now, in an earlier episode, we introduced the notion of super PaaS. Well, isn't a plain vanilla PaaS already a super PaaS? Again, we don't think so, and we'll explain why. Who will actually build and who are the players currently building Superclouds? What workloads and services will run on Superclouds? And eight A or number nine, what are some examples that we can share of Supercloud? And finally, we'll answer what you can expect next from us on Supercloud. Okay, let's get started. Why do we need another buzzword? Well, late last year ahead of re:Invent, we were inspired by a post from Jerry Chen called castles in the cloud. Now, in that blog post, he introduced the idea that there were submarkets emerging in cloud that presented opportunities for investors and entrepreneurs. That the cloud wasn't going to suck the hyperscalers, weren't going to suck all the value out of the industry. And so we introduced this notion of Supercloud to describe what we saw as a value layer emerging above the hyperscalers CAPEX gift, we sometimes call it. Now, it turns out that we weren't the only ones using the term, as both Cornell and MIT, have used the phrase in somewhat similar, but different contexts. The point is, something new was happening in the AWS and other ecosystems. It was more than IS and PaaS, and wasn't just SaaS running in the cloud. It was a new architecture that integrates infrastructure, platform and software as services, to solve new problems that the cloud vendors, in our view, weren't addressing by themselves. It seemed to us that the ecosystem was pursuing opportunities across clouds that went beyond conventional implementations of multi-cloud. And we felt there was a structural change going on at the industry level. The Supercloud metaphorically was highlighting. So that's the background on why we felt a new catch phrase was warranted. Love it or hate it, it's memorable and it's what we chose. Now, to that last point about structural industry transformation. Andy Rapaport is sometimes and often credited with identifying the shift from the vertically integrated IBM mainframe era to the fragmented PC microprocesor based era in his HBR article in 1991. In fact, it was David Moschella, who at the time was an IDC analyst who first introduced the concept in 1987, four years before Rapaport's article was published. Moschella saw that it was clear that Intel, Microsoft, Seagate and others would replace the system vendors and put that forth in a graphic that looked similar to the first two on this chart. We don't have to review the shift from IBM as the center of the industry to Wintel. That's well understood. What isn't as well known or accepted is what Moschella put out in his 2018 book called "Seeing Digital" which introduced the idea of the matrix that's shown on the right hand side of this chart. Moschella posited that new services were emerging, built on top of the internet and hyperscale clouds that would integrate other innovations and would define the next era of computing. He used the term matrix, because the conceptual depiction included, not only horizontal technology rows, like the cloud and the internet, but for the first time included connected industry verticals, the columns in this chart. Moschella pointed out that, whereas historically, industry verticals had a closed value chain or stack and ecosystem of R&D and production and manufacturing and distribution. And if you were in that industry, the expertise within that vertical generally stayed within that vertical and was critical to success. But because of digital and data, for the first time, companies were able to traverse industries jump across industries and compete because data enabled them to do that. Examples, Amazon and content, payments, groceries, Apple and payments, and content and so forth. There are many examples. Data was now this unifying enabler and this marked a change in the structure of the technology landscape. And Supercloud is meant to imply more than running in hyperscale clouds. Rather, it's the combination of multiple technologies, enabled by cloud scale with new industry participants from those verticals; financial services, and healthcare, and manufacturing, energy, media, and virtually all and any industry. Kind of an extension of every company is a software company. Basically, every company now has the opportunity to build their own cloud or Supercloud. And we'll come back to that. Let's first address what's different about Superclouds relative to hyperscale clouds. Now, this one's pretty straightforward and obvious, I think. Hyperscale clouds, they're walled gardens where they want your data in their cloud and they want to keep you there. Sure, every cloud player realizes that not all data will go to their particular cloud. So they're meeting customers where their data lives with initiatives like Amazon Outposts and Azure Arc and Google Antos. But at the end of the day, the more homogeneous they can make their environments, the better control, security, costs, and performance they can deliver. The more complex the environment, the more difficult it is to deliver on their brand promises. And, of course, the less margin that's left for them to capture. Will the hyperscalers get more serious about cross cloud services? Maybe, but they have plenty of work to do within their own clouds and within enabling their own ecosystems. They have a long way to go, a lot of runway. So let's talk about specifically, what problems Superclouds solve. We've all seen the stats from IDC or Gartner or whomever, that customers on average use more than one cloud, two clouds, three clouds, five clouds, 20 clouds. And we know these clouds operate in disconnected silos for the most part. And that's a problem, because each cloud requires different skills, because the development environment is different as is the operating environment. They have different APIs, different primitives, and different management tools that are optimized for each respective hyperscale cloud. Their functions and value props don't extend to their competitors' clouds for the most part. Why would they? As a result, there's friction when moving between different clouds. It's hard to share data. It's hard to move work. It's hard to secure and govern data. It's hard to enforce organizational edicts and policies across these clouds and on-prem. Supercloud is an architecture designed to create a single environment that enables management of workloads and data across clouds in an effort to take out complexity, accelerate application development, streamline operations, and share data safely, irrespective of location. It's pretty straightforward, but non-trivial, which is why I always ask a company's CEO and executives if stock buybacks and dividends will yield as much return as building out Superclouds that solve really specific and hard problems and create differential value. Okay, let's dig a bit more into the architectural aspects of Supercloud. In other words, what are the salient attributes of Supercloud? So, first and foremost, a Supercloud runs a set of specific services designed to solve a unique problem, and it can do so in more than one cloud. Superclouds leverage the underlying cloud native tooling of a hyperscale cloud, but they're optimized for a specific objective that aligns with the problem that they're trying to solve. For example, Supercloud might be optimized for lowest cost or lowest latency or sharing data or governing or securing that data or higher performance for networking, for example. But the point is, the collection of services that is being delivered is focused on a unique value proposition that is not being delivered by the hyperscalers across clouds. A Supercloud abstracts the underlying and siloed primitives of the native PaaS layer from the hyperscale cloud, and then using its own specific platform as a service tooling, creates a common experience across clouds for developers and users. And it does so in the most efficient manner, meaning it has the metadata knowledge and management capabilities that can optimize for latency, bandwidth, or recovery or data sovereignty, or whatever unique value that Supercloud is delivering for the specific use case in their domain. And a Supercloud comprises a super PaaS capability that allows ecosystem partners through APIs to add incremental value on top of the Supercloud platform to fill gaps, accelerate features, and of course, innovate. The services can be infrastructure related, they could be application services, they could be data services, security services, user services, et cetera, designed and packaged to bring unique value to customers. Again, that hyperscalers are not delivering across clouds or on premises. Okay, so another common question we get is, "Isn't that just multi-cloud?" And what we'd say to that is yeah, "Yes, but no." You can call it multi-cloud 2.0, if you want. If you want to use, it's kind of a commonly used rubric. But as Dell's Chuck Whitten proclaimed at Dell Technologies World this year, multi-cloud, by design, is different than multi-cloud by default. Meaning, to date, multi-cloud has largely been a symptom of what we've called multi-vendor or of M&A. You buy a company and they happen to use Google cloud. And so you bring it in. And when you look at most so-called multi-cloud implementations, you see things like an on-prem stack, which is wrapped in a container and hosted on a specific cloud. Or increasingly, a technology vendor has done the work of building a cloud native version of their stack and running it on a specific cloud. But historically, it's been a unique experience within each cloud, with virtually no connection between the cloud silos. Supercloud sets out to build incremental value across clouds and above hyperscale CAPEX that goes beyond cloud compatibility within each cloud. So, if you want to call it multi-cloud 2.0, that's fine, but we chose to call it Supercloud. Okay, so at this point you may be asking, "Well isn't PaaS already a version of Supercloud?" And again, we would say, "No." That Supercloud and its corresponding super PaaS layer, which is a prerequisite, gives the freedom to store, process, and manage and secure and connect islands of data across a continuum with a common experience across clouds. And the services offered are specific to that Supercloud and will vary by each offering. OpenShift, for example, can be used to construct a super PaaS, but in and of itself, isn't a super PaaS, it's generic. A super PaaS might be developed to support, for instance, ultra low latency database work. It would unlikely, again, taking the OpenShift example, it's unlikely that off the shelf OpenShift would be used to develop such a low latency, super PaaS layer for ultra low latency database work. The point is, Supercloud and its inherent super PaaS will be optimized to solve specific problems like that low latency example for distributed databases or fast backup in recovery for data protection and ransomware, or data sharing or data governance. Highly specific use cases that the Supercloud is designed to solve for. Okay, another question we often get is, "Who has a Supercloud today and who's building a Supercloud and who are the contenders?" Well, most companies that consider themselves cloud players will, we believe, be building or are building Superclouds. Here's a common ETR graphic that we like to show with net score or spending momentum on the Y axis, and overlap or pervasiveness in the ETR surveys on the X axis. And we've randomly chosen a number of players that we think are in the Supercloud mix. And we've included the hyperscalers because they are enablers. Now, remember, this is a spectrum of maturity. It's a maturity model. And we've added some of those industry players that we see building Superclouds like Capital One, Goldman Sachs, Walmart. This is in deference to Moschella's observation around the matrix and the industry structural changes that are going on. This goes back to every company being a software company. And rather than pattern match and outdated SaaS model, we see new industry structures emerging where software and data and tools specific to an industry will lead the next wave of innovation and bring in new value that traditional technology companies aren't going to solve. And the hyperscalers aren't going to solve. We've talked a lot about Snowflake's data cloud as an example of Supercloud. After being at Snowflake Summit, we're more convinced than ever that they're headed in this direction. VMware is clearly going after cross cloud services, perhaps creating a new category. Basically, every large company we see either pursuing Supercloud initiatives or thinking about it. Dell showed Project Alpine at Dell Tech World. That's a Supercloud. Snowflake introducing a new application development capability based on their super PaaS, our term, of course. They don't use the phrase. Mongo, Couchbase, Nutanix, Pure Storage, Veeam, CrowdStrike, Okta, Zscaler. Yeah, all of those guys. Yes, Cisco and HPE. Even though on theCUBE at HPE Discover, Fidelma Russo said on theCUBE, she wasn't a fan of cloaking mechanisms. (Dave laughing) But then we talked to HPE's head of storage services, Omer Asad, and he's clearly headed in the direction that we would consider Supercloud. Again, those cross cloud services, of course, their emphasis is connecting as well on-prem. That single experience, which traditionally has not existed with multi-cloud or hybrid. And we're seeing the emergence of smaller companies like Aviatrix and Starburst and Clumio and others that are building versions of Superclouds that solve for a specific problem for their customers. Even ISVs like Adobe, ADP, we've talked to UiPath. They seem to be looking at new ways to go beyond the SaaS model and add value within their cloud ecosystem, specifically around data as part of their and their customer's digital transformations. So yeah, pretty much every tech vendor with any size or momentum, and new industry players are coming out of hiding and competing, building Superclouds that look a lot like Moschella's matrix, with machine intelligence and blockchains and virtual realities and gaming, all enabled by the internet and hyperscale cloud CAPEX. So it's moving fast and it's the future in our opinion. So don't get too caught up in the past or you'll be left behind. Okay, what about examples? We've given a number in the past but let's try to be a little bit more specific. Here are a few we've selected and we're going to answer the two questions in one section here. What workloads and services will run in Superclouds and what are some examples? Let's start with analytics. Our favorite example of Snowflake. It's one of the furthest along with its data cloud, in our view. It's a Supercloud optimized for data sharing and governance, and query performance, and security, and ecosystem enablement. When you do things inside of that data cloud, what we call a super data cloud. Again, our term, not theirs. You can do things that you could not do in a single cloud. You can't do this with Redshift. You can't do this with SQL server. And they're bringing new data types now with merging analytics or at least accommodate analytics and transaction type data and bringing open source tooling with things like Apache Iceberg. And so, it ticks the boxes we laid out earlier. I would say that a company like Databricks is also in that mix, doing it, coming at it from a data science perspective trying to create that consistent experience for data scientists and data engineering across clouds. Converge databases, running transaction and analytic workloads is another example. Take a look at what Couchbase is doing with Capella and how it's enabling stretching the cloud to the edge with arm based platforms and optimizing for low latency across clouds, and even out to the edge. Document database workloads, look at Mongo DB. A very developer friendly platform that where the Atlas is moving toward a Supercloud model, running document databases very, very efficiently. How about general purpose workloads? This is where VMware comes into play. Very clearly, there's a need to create a common operating environment across clouds and on-prem and out to the edge. And I say, VMware is hard at work on that, managing and moving workloads and balancing workloads, and being able to recover very quickly across clouds for everyday applications. Network routing, take a look at what Aviatrix is doing across clouds. Industry workloads, we see Capital One. It announced its cost optimization platform for Snowflake, piggybacking on Snowflake's Supercloud or super data cloud. And in our view, it's very clearly going to go after other markets. It's going to test it out with Snowflake, optimizing on AWS, and it's going to expand to other clouds as Snowflake's business and those other clouds grows. Walmart working with Microsoft to create an on-premed Azure experience that's seamless. Yes, that counts, on-prem counts. If you can create that seamless and continuous experience, identical experience from on-prem to a hyperscale cloud, we would include that as a Supercloud. We've written about what Goldman is doing. Again, connecting its on-prem data and software tooling, and other capabilities to AWS for scale. And you can bet dollars to donuts that Oracle will be building a Supercloud in healthcare with its Cerner acquisition. Supercloud is everywhere you look. So I'm sorry, naysayers, it's happening all around us. So what's next? Well, with all the industry buzz and debate about the future, John Furrier and I have decided to host an event in Palo Alto. We're motivated and inspired to further this conversation. And we welcome all points of view, positive, negative, multi-cloud, Supercloud, HyperCloud, all welcome. So theCUBE on Supercloud is coming on August 9th out of our Palo Alto studios. We'll be running a live program on the topic. We've reached out to a number of industry participants; VMware, Snowflake, Confluent, Skyhigh Security, G. Written House's new company, HashiCorp, CloudFlare. We've hit up Red Hat and we expect many of these folks will be in our studios on August 9th. And we've invited a number of industry participants as well that we're excited to have on. From industry, from financial services, from healthcare, from retail, we're inviting analysts, thought leaders, investors. We're going to have more detail in the coming weeks, but for now, if you're interested, please reach out to me or John with how you think you can advance the discussion, and we'll see if we can fit you in. So mark your calendars, stay tuned for more information. Okay, that's it for today. Thanks to Alex Myerson who handles production and manages the podcast for "Breaking Analysis." And I want to thank Kristen Martin and Cheryl Knight. They help get the word out on social and in our newsletters. And Rob Hof is our editor in chief over at SiliconANGLE, who does a lot of editing and appreciate you posting on SiliconANGLE, Rob. Thanks to all of you. Remember, all these episodes are available as podcasts wherever you listen. All you got to do is search, breaking analysis podcast. I publish each week on wikibon.com and siliconangle.com. Or you can email me directly at david.vellante@siliconangle.com. Or DM me @DVallante, or comment on my LinkedIn post. And please, do check out etr.ai for the best survey data in the enterprise tech business. We'll be at AWS NYC summit next Tuesday, July 12th. So if you're there, please do stop by and say hello to theCUBE. It's at the Javits Center. This is Dave Vallante for theCUBE Insights, powered by ETR. Thanks for watching. And we'll see you next time on "Breaking Analysis." (slow music)

Published Date : Jul 8 2022

SUMMARY :

This is "Breaking Analysis" stretching the cloud to the edge

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Alex MyersonPERSON

0.99+

SeagateORGANIZATION

0.99+

1987DATE

0.99+

Dave VallantePERSON

0.99+

MicrosoftORGANIZATION

0.99+

WalmartORGANIZATION

0.99+

1991DATE

0.99+

Andy RapaportPERSON

0.99+

Jerry ChenPERSON

0.99+

MoschellaPERSON

0.99+

OracleORGANIZATION

0.99+

Cheryl KnightPERSON

0.99+

David MoschellaPERSON

0.99+

Rob HofPERSON

0.99+

Palo AltoLOCATION

0.99+

August 9thDATE

0.99+

IntelORGANIZATION

0.99+

CiscoORGANIZATION

0.99+

HPEORGANIZATION

0.99+

Chuck WhittenPERSON

0.99+

IBMORGANIZATION

0.99+

Goldman SachsORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

Fidelma RussoPERSON

0.99+

20 cloudsQUANTITY

0.99+

AWSORGANIZATION

0.99+

WintelORGANIZATION

0.99+

DatabricksORGANIZATION

0.99+

two questionsQUANTITY

0.99+

DellORGANIZATION

0.99+

John FurrierPERSON

0.99+

2018DATE

0.99+

AppleORGANIZATION

0.99+

JohnPERSON

0.99+

BostonLOCATION

0.99+

AviatrixORGANIZATION

0.99+

StarburstORGANIZATION

0.99+

ConfluentORGANIZATION

0.99+

five cloudsQUANTITY

0.99+

ClumioORGANIZATION

0.99+

CouchbaseORGANIZATION

0.99+

first timeQUANTITY

0.99+

NutanixORGANIZATION

0.99+

MoschellaORGANIZATION

0.99+

Skyhigh SecurityORGANIZATION

0.99+

MITORGANIZATION

0.99+

HashiCorpORGANIZATION

0.99+

last yearDATE

0.99+

RobPERSON

0.99+

two cloudsQUANTITY

0.99+

three cloudsQUANTITY

0.99+

david.vellante@siliconangle.comOTHER

0.99+

first twoQUANTITY

0.99+

Kristen MartinPERSON

0.99+

MongoORGANIZATION

0.99+

GartnerORGANIZATION

0.99+

CrowdStrikeORGANIZATION

0.99+

OktaORGANIZATION

0.99+

Pure StorageORGANIZATION

0.99+

Omer AsadPERSON

0.99+

Capital OneORGANIZATION

0.99+

each cloudQUANTITY

0.99+

SnowflakeORGANIZATION

0.99+

VeeamORGANIZATION

0.99+

OpenShiftTITLE

0.99+

10 most frequently asked questionsQUANTITY

0.99+

RapaportPERSON

0.99+

SiliconANGLEORGANIZATION

0.99+

CloudFlareORGANIZATION

0.99+

one sectionQUANTITY

0.99+

Seeing DigitalTITLE

0.99+

VMwareORGANIZATION

0.99+

IDCORGANIZATION

0.99+

ZscalerORGANIZATION

0.99+

each weekQUANTITY

0.99+

Javits CenterLOCATION

0.99+

late last yearDATE

0.98+

firstQUANTITY

0.98+

AdobeORGANIZATION

0.98+

more than one cloudQUANTITY

0.98+

each offeringQUANTITY

0.98+

Manyam Mallela, Blueshift | AWS Startup Showcase S2 E3


 

(upbeat music) >> Welcome everyone to theCUBE's presentation of the AWS Startup Showcase. Topic is MarTech: Emerging Cloud-Scale Experience. This is season two, episode three of the ongoing series covering the exciting startups from the AWS ecosystem. Talk about their value proposition and their company and all the good stuff that's going on. I'm your host, John Furrier. And today we're excited to be joined by Manyam Mallela who's the co-founder and head of AI at Blueshift. Great to have you on here to talk about the Blueshift-Intelligent Customer Engagement, Made Simple. Thanks for joining us today. >> Thank you, John. Thank you for having me. >> So last time we did our intro video. We put it out in the web. Got great feedback. One of the things that we talked about, which is resonating out there in the viral Twitter sphere and in the thought leadership circles is this concept that you mentioned called 10X marketer. That idea that you have a solution that can provide 10X value. Kind of a riff on the 10X engineer in the DevOps cloud world. What does it mean? And how does someone get there? >> Yeah, fantastic. I think that's a great way to start our discussion. I think a lot of organizations, especially as of this current economic environment are looking to say, I have limited resources, limited budgets, how do I actually achieve digital and customer engagement that helps move the needle for my key metrics, whether it's average revenue per user, lifetime value of the user and frequent interactions. Above all, the more frequently a brand is able to interact with their customers, the better they understand them, the better they can actually engage them. And that usually leads to long term good outcomes for both customer and the brand and the organizations. So the way I see 10X marketer is that you need to have tools that give you that speed and agility without hindering your ability to activate any of the campaigns or experience that you want to create. And I see the roadblocks usually for many organizations, is that kind of threefold. One is your data silos. Usually data that is on your sites, does not talk to your app data, does not talk to your social data, does not talk to your CRM data and so forth. So how do I break those silos? The second is channel silos. I actually have customers who are only engaging on email or some are on email and mobile apps. Some are on email and mobile apps and maybe the OTT TV in a Roku or one of the connected TV experiences, or maybe in the future, another Web3 environments. How do I actually break those channel silos so that I get a comprehensive view of the customer and my marketing team can engage with all of them in respect to the channel? So break the channel silos. And the last part, what I call like some of the little talked about is I call the inside silo, which is that, not only do you need to have the data, but you also have to have a common language to share and talk about within your organizations. What are we learning from our customers? What do we translate our learning and insight on this common data platform or fabric into an action? And that requires the shared language of how do I actually know my customers and what do I do with them? Like either the inside silo as well. I think a lot of times organizations do get into this habit like each one speaks their own language, but they don't actually are talking the common language of what did we actually know about the real customer there. >> Yeah, and I think that's a great conversation because there's two, when you hear 10X marketer or 10X conversations, it implies a couple things. One is you're breaking an old way and bringing in something new. And the new is a force multiplier, in this case, 10X marketer. But this is the cloud scale so marketing executives, chiefs, staffs, chiefs of staffs of CMOs and their staffs. They want to get that scale. So marketing at scale is now the table stakes. Now budget constraints are there as well. So you're starting to see, okay, I need to do more with less. Now the big question comes up is ROI. So I want to have AI. I want to have all these force multipliers. What do I got to do with the old? How do I handle that? How do I bring the new in and operationalize it? And if that's the case, I'm making a change. So I have to ask you, what's your view on the ROI of AI marketing, because this is a key component 'cause you've got scale factor here. You've got to force multiplier opportunity. How do you get that ROI on the table? >> I think that as you rightly said, it's table stakes. And I think the ROI of AI marketing starts with one very key simple premise that today some of the tools allow you to do things one at a time. So I can actually say, "can I run this campaign today?" And you can scramble your team, hustle your way, get everybody involved and run that campaign. And then tomorrow I'd say like, Hey, I looked at the results. Can I do this again? And they're like, oh, we just asked for all of us to get that done. How do I do it tomorrow? How do I do it next week? How do I do it for every single week for the rest of the year? That's where I think the AI marketing is essentially taking your insight, taking your creativity, and creating a platform and a tool that allows you to run this every single day. And that's agility at scale. That is not only a scale of the customer base, but scale across time. And that AI-based automation is the key ROI piece for a lot of AI marketing practitioners. So Forrester, for example, did a comprehensive total economic impact study with our customers. And what they found out was actually the 781% ROI that they reported in that particular report is based on three key factors. One is being able to do experiences that are intelligent at scale, day in and day out. So do your targeting, do your recommendations. Not just one day, but do it every single day. And don't hold back yourself on being able to do that. >> I think they got to get the return. They got to get the sales too. This is the numbers. >> That's right. They actually have real dollars, real numbers attached to it. They have a calculator. You can actually go in and plug your own numbers and get what you might expect from your existing customer base. The second is that once you have a unified platform like ours, the 10X marketer that we're talking about is actually able to do more. It's sometimes actually, it's kind of counterintuitive to think that a smaller team does more. But in reality, what we have seen, that is the case. When you actually have the right tools, the smaller teams actually achieve more. And that's the redundant operations, conflicting insights that go away into something more coherent and comprehensive. And that's the second insight that they found. And the third is just having reporting and all of the things in one place means that you can amplify it. You can amplify it across your paid media channels. You can amplify it across your promotions programs and other partnerships that you're running. >> That's the key thing about platforms that people don't understand is that you have a platform and it enables a lot of value. In this case, force multiplier value. It enables more value than you pay for it. But the key is it enables customers to do things without a line of code, meaning it's a platform. They're innovating on top of it. And that's, I think, where the ROI comes in and this leads me where the next question is. I wanted to ask you is, not to throw a wet blanket on the MarTech industry, but I got to think of when I hear marketing automation, I kind of think old. I think old, inadequate antiquated technologies. I think email blasting and just some boring stuff that just gets siloed or it's bespoke from something else. Are marketing automation tools created equal? Does something like, what you guys are doing with SmartHub? Change that, and can you just talk about that 'cause it's not going to go away. It's just another level that's going to be abstracted away under the coverage. >> Yeah, great question. Certainly, email marketing has been practiced for two or three decades now and in some form or another. I think we went from essentially what people call list-based marketing. I have a list, let me keep blasting the same message to everybody and then hopefully something will come out of it. A little bit more of saying, then they can, okay, maybe now I have CRM database and can I do database marketing, which they will call like, "Hey, Hi John. Hi Manyam", which is the first name. And that's all they think will get the customer excited about because you'll call them by name, which is certainly helpful, but not enough. I think now what we call like, the new age that we live in is that we call it graph-based marketing. And the way we materialize that is that every single user is interacting with a brand with their offerings. So that this interaction graph that's happening across millions of customers, across thousands of content articles, videos, shows, products, items, and that graph actually has much richer knowledge of what the customer wants than the first names or list-based ones. So I think the next evolution of marketing automation, even though the industry has been there a while, there is a step change in what can actually be done at scale. And which is taking that interaction graph and making that a part of the experience for the customer, and that's what we enable. That's why we do think of that as a big step change from how people are being practicing list-based marketing. And within that, certainly there is a relation of curve as to how people approach AI marketing and they are in a different spectrum. Some people are still at list-based marketing. Some people are database marketing. And hopefully will move them to this new interaction graph-based marketing. >> Yeah and I think the context is key. I like how you bring up the graph angle on this because the graph databases imply there's a lot of different optionality around what's happened contextually both over time and currently and it adds to it. Makes it smarter. It's not just siloed, just one dimensional. It feels like it's got a lot there. This is clearly I'm a big fan of and I think this is the way to go. As you get more personalization, you get more data. Graphic database makes a lot of sense. So I have to ask you, this is a really cutting edge value proposition, who are the primary buyers and users in an organization that you guys are working with? >> Yeah, great question. So we typically have CMO organizations approaching us with this problem and they usually talk to their CIO organizations, their counterparts, and the chief information officers have been investing in data fabrics, data lakes, data warehouses for the better part of last decade or two, and have some very cutting edge technology that goes into organizing all this data. But that doesn't still solve the problem of how do I take this data and make a meaningful, relevant, authentic experience for the customer. That's the CMO problem. And CMO are now challenge with creating product level experience with every interaction and that's where we coming. So the CMO are the buyers of our SmartHub CDP platform. And we're looking for consolidating hundreds of tools that they had in the past and making that one or two channel marketers. Actually, the 10X marketer that we talk about. And you need the right tool on top of your data lakes and data warehouses to be able to do that. So CMO are also the real drivers of using this technology. >> I think that also place the ROI equation around ROI and having that unified platform. Great call out there. I got to ask you the question here 'cause this comes up a lot and when I hear you talking, I think, okay, all the great stuff you guys have there. But if I'm a company, I want to make my core competencies mine. I don't really want to outsource or buy something that's going to be core to my business. But at the same time as market shifts, the business changes. And sometimes people don't even know what business they're in at the end of the day. And as it gets more complicated too, by the way. So the question comes up with companies and I can see this clearly, do I buy it? Do I build it? When it comes to AI because that's a core competency. Wait a minute, AI. I'm going to maybe buy some chatbot technology. That's not really AI, but it feels like AI, but I'm a company, I want to buy it or build it. That's a choice. What do you see there? 'Cause you guys have a very comprehensive platform. It's hard to replicate, imitates, inimitable. So what's your customers doing with respect buy and build? And where do they get the core competency? What do they get to have as a core competency? >> Fantastic. I think certainly, AI as it applies to at the organization level, I've seen this at my previous organization that I was part of, and there will be product and financial applications that are using AI for the service of that organization. So we do see, depending upon the size of the organization having in-house AI and data science teams. They are focused on these long term problems that they are doing as part of their product itself. Adjacent to that, the CMO organization gets some resources, but not certainly a lot. I think the CMO organization is usually challenged with the task, but not given the hundred people data science and engineering team to be able to go solve that. So what we see among our customer base is that they need agile platform to do most of the things that they need to do on a day to day basis, but augmented with what our in-house data science they have. So we are an extensible platform. What we have seen is that half of our customers use us solely for the AI needs. The other half certainly uses both AI modules that we provide and are actually augmented with things that they've already built. And we do not have a fight in that ring. But we do acknowledge and we do provide the right hooks for getting the data out of our system and bringing their AI back into our system. And we think that at the end of the day, if you want agility for the CMO, there should not be any barriers. >> It's like they're in the data business and that's the focus. So I think with what I hear you saying is that with your technology and platform, you're enabling to get them to be in the data business as fast as possible. >> That's right. >> Versus algorithm business, which they could add to over time. >> Certainly they could add to. But I think the bulk of competencies for the CMO are on the creative side. And certainly wrangling with data pipelines day in and day out and wondering what actually happened to a pipeline in the middle of the night is not probably what they would want to focus on. >> Not their core confidence. Yeah, I got that. >> That's right. >> You can do all the heavy lifting. I love that. I got to ask you on the Blueshift side on customer experience consumption. how can someone experience the product before buying? Is there a trial or POC? What's the scale and scope of operationalizing and getting the Blueshift value proposition in them? >> Yeah, great. So we actually recently released a fantastic way to experience our product. So if you go to our website, there's only one call-to-action saying, explore Blueshift. And if you click on that, without asking, anything other than your business email address, you're shown the full product. You're given a guided tour of all the possibilities. So you can actually experience what your marketing team would be doing in the product. And they call it Project Rover. We launched it very recently and we are seeing fantastic reception to that. I think a lot of times, as you said, there is that question mark of like, I have a marketing team that is already doing X, Y, Z. Now you are asking me to implement Blueshift. How would they actually experience the product? And now they can go in and experience the product. It's a great way to get the gist of the product in 10 clicks. Much more than going through any number of videos or articles. I think people really want to say, let me do those 10 clicks. And I know what impression that I can get from platform. So we do think that's a great way to experience the product and it's easily available from the main website. >> It's in the value proposition. It isn't always a straight line. And you got that technology. And I got to ask from between your experience with the customers that you're talking to, prospects, and customers, where do you see yourself winning deals on Customer Engagement, Made Simple because the word customer engagement's been around for a while, and it's become, I won't say cliche, but there's been different generational evolutions of technology that made that possible. Obviously, we're living in an era of high velocity Omni-Channel, a lot of data, the graph databases you mentioned are in there, big part of it. Where are you winning deals? Where are customers pain points where you are solving that specifically? >> Yeah, great question. So the organizations that come to us usually have one of the dimensions of either they have offering complexity, which is what catalog of content or videos or items do they offer to the customers. And on the data complexity on the other side is to what the scale of customer base that I usually target. And that problem has not gone away. I think the customer engagement, even though has been around for a while, the problem of engaging those customers at scale hasn't gone away and it only is getting harder and harder and organizations that have, especially on what we call the business-to-consumer side where the bulk of what marketing organizations in a B2C segments are doing. I have tens to millions of customers and how do I engage them day in and day out. And I think that all that problem is only getting harder because consumer preferences keeps shifting all the time. >> And where's your sweet spot for your customer? What size? Can you just share the target organization? Is it medium enterprise, large B2C, B2B2C? What's the focus area? >> Yeah, great question. So we have seen like startups that are in Silicon Valley. I have now half a million monthly active users, how do I actually engage them to customers and clients like LendingTree and PayPal and Discovery and BBC who have been in the business for multiple decades, have tens of millions of customers that they're engaging with. So that's kind of our sweet spot. We are certainly not maybe for small shop with maybe a hundred plus customers. But as you reach the scale of tens of thousands of customers, you start seeing this problem. And then you start to look out for solutions that are beyond, especially list-based marketing and email blast. >> So as the scale, you can dial up and down, but you have to have some enough scale to get the data pattern. >> That's right. >> If I can connect the dots there. >> I would probably say, looking at a hundred thousand or more monthly active customer base, and then you're trying to ramp up your own growth based on what you're learning and to engage those customers. >> It's like a bulldozer. You need the heavy equipment. Great conversation. For the last minute we have here Manyam, give you a plug for the company. What's going on? What are you guys doing? What's new? Give some success stories, your latest achievements. Take a minute to give a plug for the company. >> Yeah, great. We have been recognized by Deloitte as the fastest growth startup two years in a row and continuing to be on that streak. We have released currently integrations with AWS partners and Snowflake partners and data lake partners that allow implementing Blueshift a much streamlined experience with bidirectional integrations. We have now hundred plus data connectors and data integrations in our system and that takes care of many of our needs. And now, I think organizations that have been budget constraint and are trying to achieve a lot with a small team are actually going to look at these solutions and say, "Can I get there?" and "Can I become that 10X marketing organization? And as you have said, agility at scale is very, very hard to achieve. Being able to take your marketing team and achieve 10X requires the right platform and the right solution. We are ready for it. >> And every company's in the data business that's the asset. You guys make that sing for them. It's good stuff. Love the 10X. Love the scale. Manyam Mallela, thanks for coming on. Co-founder, Head of AI at Blueshift. This is the AWS Startup Showcase season two, episode three of the ongoing series covering the exciting startups from the AWS ecosystem. I'm John Furrier, your host. Thanks for watching. >> Thank you, John. (upbeat music)

Published Date : Jun 29 2022

SUMMARY :

and all the good stuff that's going on. Thank you for having me. and in the thought leadership And that requires the shared language And if that's the case, Hey, I looked at the results. This is the numbers. and all of the things in one place is that you have a platform and making that a part of the the graph angle on this But that doesn't still solve the problem I got to ask you the question here that they need to do and that's the focus. which they could add to over time. for the CMO are on the creative side. Yeah, I got that. I got to ask you on the Blueshift side of all the possibilities. the graph databases you And on the data complexity And then you start to look out So as the scale, you and to engage those customers. For the last minute we have here Manyam, and the right solution. And every company's in the Thank you, John.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
John FurrierPERSON

0.99+

Manyam MallelaPERSON

0.99+

JohnPERSON

0.99+

10 clicksQUANTITY

0.99+

BBCORGANIZATION

0.99+

DeloitteORGANIZATION

0.99+

Silicon ValleyLOCATION

0.99+

oneQUANTITY

0.99+

next weekDATE

0.99+

tomorrowDATE

0.99+

781%QUANTITY

0.99+

AWSORGANIZATION

0.99+

hundred peopleQUANTITY

0.99+

ForresterORGANIZATION

0.99+

tensQUANTITY

0.99+

twoQUANTITY

0.99+

one dayQUANTITY

0.99+

two yearsQUANTITY

0.99+

OneQUANTITY

0.99+

BlueshiftORGANIZATION

0.99+

thirdQUANTITY

0.99+

DiscoveryORGANIZATION

0.99+

todayDATE

0.99+

thousandsQUANTITY

0.99+

second insightQUANTITY

0.99+

bothQUANTITY

0.99+

PayPalORGANIZATION

0.99+

Project RoverORGANIZATION

0.98+

secondQUANTITY

0.98+

ManyamPERSON

0.98+

10XQUANTITY

0.97+

MarTechORGANIZATION

0.97+

SmartHubORGANIZATION

0.97+

firstQUANTITY

0.97+

three decadesQUANTITY

0.96+

BlueshiftTITLE

0.96+

each oneQUANTITY

0.96+

one placeQUANTITY

0.96+

millionsQUANTITY

0.95+

tens of thousands of customersQUANTITY

0.95+

LendingTreeORGANIZATION

0.94+

last decadeDATE

0.94+

SnowflakeORGANIZATION

0.94+

hundreds of toolsQUANTITY

0.94+

three key factorsQUANTITY

0.92+

two channelQUANTITY

0.92+

TwitterORGANIZATION

0.91+

theCUBEORGANIZATION

0.91+

Startup ShowcaseEVENT

0.89+

halfQUANTITY

0.89+

hundred plusQUANTITY

0.89+

tens of millions of customersQUANTITY

0.87+

CMOTITLE

0.84+

MarTech: Emerging Cloud-Scale ExperienceTITLE

0.83+

half a million monthlyQUANTITY

0.82+

single dayQUANTITY

0.82+

single weekQUANTITY

0.81+

a hundred plus customersQUANTITY

0.81+

AWS Startup ShowcaseEVENT

0.81+

a hundred thousand or moreQUANTITY

0.77+

half of our customersQUANTITY

0.77+

season twoQUANTITY

0.75+

Breaking Analysis: Broadcom, Taming the VMware Beast


 

>> From theCUBE studios in Palo Alto in Boston, bringing you data driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante. >> In the words of my colleague CTO David Nicholson, Broadcom buys old cars, not to restore them to their original luster and beauty. Nope. They buy classic cars to extract the platinum that's inside the catalytic converter and monetize that. Broadcom's planned 61 billion acquisition of VMware will mark yet another new era and chapter for the virtualization pioneer, a mere seven months after finally getting spun out as an independent company by Dell. For VMware, this means a dramatically different operating model with financial performance and shareholder value creation as the dominant and perhaps the sole agenda item. For customers, it will mean a more focused portfolio, less aspirational vision pitches, and most certainly higher prices. Hello and welcome to this week's Wikibon CUBE Insights powered by ETR. In this Breaking Analysis, we'll share data, opinions and customer insights about this blockbuster deal and forecast the future of VMware, Broadcom and the broader ecosystem. Let's first look at the key deal points, it's been well covered in the press. But just for the record, $61 billion in a 50/50 cash and stock deal, resulting in a blended price of $138 per share, which is a 44% premium to the unaffected price, i.e. prior to the news breaking. Broadcom will assume 8 billion of VMware debt and promises that the acquisition will be immediately accretive and will generate 8.5 billion in EBITDA by year three. That's more than 4 billion in EBITDA relative to VMware's current performance today. In a classic Broadcom M&A approach, the company promises to dilever debt and maintain investment grade ratings. They will rebrand their software business as VMware, which will now comprise about 50% of revenues. There's a 40 day go shop and importantly, Broadcom promises to continue to return 60% of its free cash flow to shareholders in the form of dividends and buybacks. Okay, with that out of the way, we're going to get to the money slide literally in a moment that Broadcom shared on its investor call. Broadcom has more than 20 business units. It's CEO Hock Tan makes it really easy for his business unit managers to understand. Rule number one, you agreed to an operating plan with targets for revenue, growth, EBITDA, et cetera, hit your numbers consistently and we're good. You'll be very well compensated and life will be wonderful for you and your family. Miss the number, and we're going to have a frank and uncomfortable bottom line discussion. You'll four, perhaps five quarters to turn your business around, if you don't, we'll kill it or sell it if we can. Rule number two, refer to rule number one. Hello, VMware, here's the money slide. I'll interpret the bullet points on the left for clarity. Your fiscal year 2022 EBITDA was 4.7 billion. By year three, it will be 8.5 billion. And we Broadcom have four knobs to turn with you, VMware to help you get there. First knob, if it ain't recurring revenue with rubber stamp renewals, we're going to convert that revenue or kill it. Knob number two, we're going to focus R&D in the most profitable areas of the business. AKA expect the R&D budget to be cut. Number three, we're going to spend less on sales and marketing by focusing on existing customers. We're not going to lose money today and try to make it up many years down the road. And number four, we run Broadcom with 1% GNA. You will too. Any questions? Good. Now, just to give you a little sense of how Broadcom runs its business and how well run a company it is, let's do a little simple comparison with this financial snapshot. All we're doing here is taking the most recent quarterly earnings reports from Broadcom and VMware respectively. We take the quarterly revenue and multiply by four X to get the revenue run rate and then we calculate the ratios off of the most recent quarters revenue. It's worth spending some time on this to get a sense of how profitable the Broadcom business actually is and what the spreadsheet gurus at Broadcom are seeing with respect to the possibilities for VMware. So combined, we're talking about a 40 plus billion dollar company. Broadcom is growing at more than 20% per year. Whereas VMware's latest quarter showed a very disappointing 3% growth. Broadcom is mostly a hardware company, but its gross margin is in the high seventies. As a software company of course VMware has higher gross margins, but FYI, Broadcom's software business, the remains of Symantec and what they purchased as CA has 90% gross margin. But the I popper is operating margin. This is all non gap. So it excludes things like stock based compensation, but Broadcom had 61% operating margin last quarter. This is insanely off the charts compared to VMware's 25%. Oracle's non gap operating margin is 47% and Oracle is an incredibly profitable company. Now the red box is where the cuts are going to take place. Broadcom doesn't spend much on marketing. It doesn't have to. It's SG&A is 3% of revenue versus 18% for VMware and R&D spend is almost certainly going to get cut. The other eye popper is free cash flow as a percentage of revenue at 51% for Broadcom and 29% for VMware. 51%. That's incredible. And that my dear friends is why Broadcom a company with just under 30 billion in revenue has a market cap of 230 billion. Let's dig into the VMware portfolio a bit more and identify the possible areas that will be placed under the microscope by Hock Tan and his managers. The data from ETR's latest survey shows the net score or spending momentum across VMware's portfolio in this chart, net score essentially measures the net percent of customers that are spending more on a specific product or vendor. The yellow bar is the most recent survey and compares the April 22 survey data to April 21 and January of 22. Everything is down in the yellow from January, not surprising given the economic outlook and the change in spending patterns that we've reported. VMware Cloud on AWS remains the product in the ETR survey with the most momentum. It's the only offering in the portfolio with spending momentum above the 40% line, a level that we consider highly elevated. Unified Endpoint Management looks more than respectable, but that business is a rock fight with Microsoft. VMware Cloud is things like VMware Cloud foundation, VCF and VMware's cross cloud offerings. NSX came from the Nicira acquisition. Tanzu is not yet pervasive and one wonders if VMware is making any money there. Server is ESX and vSphere and is the bread and butter. That is where Broadcom is going to focus. It's going to look at VSAN and NSX, which is software probably profitable. And of course the other products and see if the investments are paying off, if they are Broadcom will keep, if they are not, you can bet your socks, they will be sold off or killed. Carbon Black is at the far right. VMware paid $2.1 billion for Carbon Black. And it's the lowest performer on this list in terms of net score or spending momentum. And that doesn't mean it's not profitable. It just doesn't have the momentum you'd like to see, so you can bet that is going to get scrutiny. Remember VMware's growth has been under pressure for the last several years. So it's been buying companies, dozens of them. It bought AirWatch, bought Heptio, Carbon Black, Nicira, SaltStack, Datrium, Versedo, Bitnami, and on and on and on. Many of these were to pick up engineering teams. Some of them were to drive new revenue. Now this is definitely going to be scrutinized by Broadcom. So that helps explain why Michael Dell would sell VMware. And where does VMware go from here? It's got great core product. It's an iconic name. It's got an awesome ecosystem, fantastic distribution channel, but its growth is slowing. It's got limited developer chops in a world that developers and cloud native is all the rage. It's got a far flung R&D agenda going at war with a lot of different places. And it's increasingly fighting this multi front war with cloud companies, companies like Cisco, IBM Red Hat, et cetera. VMware's kind of becoming a heavy lift. It's a perfect acquisition target for Broadcom and why the street loves this deal. And we titled this Breaking Analysis taming the VMware beast because VMware is a beast. It's ubiquitous. It's an epic software platform. EMC couldn't control it. Dell used it as a piggy bank, but really didn't change its operating model. Broadcom 100% will. Now one of the things that we get excited about is the future of systems architectures. We published a breaking analysis about a year ago, talking about AWS's secret weapon with Nitro and it's Annapurna custom Silicon efforts. Remember it acquired Annapurna for a measly $350 million. And we talked about how there's a new architecture and a new price performance curve emerging in the enterprise, driven by AWS and being followed by Microsoft, Google, Alibaba, a trend toward custom Silicon with the arm based Nitro and which is AWS's hypervisor and Nick strategy, enabling processor diversity with things like Graviton and Trainium and other diverse processors, really diversifying away from x86 and how this leads to much faster product cycles, faster tape out, lower costs. And our premise was that everyone in the data center is going to competes, is going to need a Nitro to be competitive long term. And customers are going to gravitate toward the most economically favorable platform. And as we describe the landscape with this chart, we've updated this for this Breaking Analysis and we'll come back to nitro in a moment. This is a two dimensional graphic with net score or spending momentum on the vertical axis and overlap formally known as market share or presence within the survey, pervasiveness that's on the horizontal axis. And we plot various companies and products and we've inserted VMware's net score breakdown. The granularity in those colored bars on the bottom right. Net score is essentially the green minus the red and a couple points on that. VMware in the latest survey has 6% new adoption. That's that lime green. It's interesting. The question Broadcom is going to ask is, how much does it cost you to acquire that 6% new. 32% of VMware customers in the survey are increasing spending, meaning they're increasing spending by 6% or more. That's the forest green. And the question Broadcom will dig into is what percent of that increased spend (chuckles) you're capturing is profitable spend? Whatever isn't profitable is going to be cut. Now that 52% gray area flat spending that is ripe for the Broadcom picking, that is the fat middle, and those customers are locked and loaded for future rent extraction via perpetual renewals and price increases. Only 8% of customers are spending less, that's the pinkish color and only 3% are defecting, that's the bright red. So very, very sticky profile. Perfect for Broadcom. Now the rest of the chart lays out some of the other competitor names and we've plotted many of the VMware products so you can see where they fit. They're all pretty respectable on the vertical axis, that's spending momentum. But what Broadcom wants is that core ESX vSphere base where we've superimposed the Broadcom logo. Broadcom doesn't care so much about spending momentum. It cares about profitability potential and then momentum. AWS and Azure, they're setting the pace in this business, in the upper right corner. Cisco very huge presence in the data center, as does Intel, they're not in the ETR survey, but we've superimposed them. Now, Intel of course, is in a dog fight within Nvidia, the Arm ecosystem, AMD, don't forget China. You see a Google cloud platform is in there. Oracle is also on the chart as well, somewhat lower on the vertical axis, but it doesn't have that spending momentum, but it has a big presence. And it owns a cloud as we've talked about many times and it's highly differentiated. It's got a strategy that allows it to differentiate from the pack. It's very financially driven. It knows how to extract lifetime value. Safra Catz operates in many ways, similar to what we're seeing from Hock Tan and company, different from a portfolio standpoint. Oracle's got the full stack, et cetera. So it's a different strategy. But very, very financially savvy. You could see IBM and IBM Red Hat in the mix and then Dell and HP. I want to come back to that momentarily to talk about where value is flowing. And then we plotted Nutanix, which with Acropolis could suck up some V tax avoidance business. Now notice Symantec and CA, relatively speaking in the ETR survey, they have horrible spending momentum. As we said, Broadcom doesn't care. Hock Tan is not going for growth at the expense of profitability. So we fully expect VMware to come down on the vertical axis over time and go up on the profit scale. Of course, ETR doesn't measure the profitability here. Now back to Nitro, VMware has this thing called Project Monterey. It's essentially their version of Nitro and will serve as their future architecture diversifying off x86 and accommodating alternative processors. And a much more efficient performance, price in energy consumption curve. Now, one of the things that we've advocated for, we said this about Dell and others, including VMware to take a page out of AWS and start developing custom Silicon to better integrate hardware and software and accelerate multi-cloud or what we call supercloud. That layer above the cloud, not just running on individual clouds. So this is all about efficiency and simplicity to own this space. And we've challenged organizations to do that because otherwise we feel like the cloud guys are just going to have consistently better costs, not necessarily price, but better cost structures, but it begs the question. What happens to Project Monterey? Hock Tan and Broadcom, they don't invest in something that is unproven and doesn't throw off free cash flow. If it's not going to pay off for years to come, they're probably not going to invest in it. And yet Project Monterey could help secure VMware's future in not only the data center, but at the edge and compete more effectively with cloud economics. So we think either Project Monterey is toast or the VMware team will knock on the door of one of Broadcom's 20 plus business units and say, guys, what if we work together with you to develop a version of Monterey that we can use and sell to everyone, it'd be the arms dealer to everyone and be competitive with the cloud and other players out there and create the de facto standard for data center performance and supercloud. I mean, it's not outrageously expensive to develop custom Silicon. Tesla is doing it for example. And Broadcom obviously is capable of doing it. It's got good relationships with semiconductor fabs. But I think this is going to be a tough sell to Broadcom, unless VMware can hide this in plain site and make it profitable fast, like AWS most likely has with Nitro and Graviton. Then Project Monterey and our pipe dream of alternatives to Nitro in the data center could happen but if it can't, it's going to be toast. Or maybe Intel or Nvidia will take it over or maybe the Monterey team will spin out a VMware and do a Pensando like deal and demonstrate the viability of this concept and then Broadcom will buy it back in 10 years. Here's a double click on that previous data that we put in tabular form. It's how the data on that previous slide was plotted. I just want to give you the background data here. So net score spending momentum is the sorted on the left. So it's sorted by net score in the left hand chart, that was the y-axis in the previous data set and then shared and or presence in the data set is the right hand chart. In other words, it's sorted on the right hand chart, right hand table. That right most column is shared and you can see it's sorted top to bottom, and that was the x-axis on the previous chart. The point is not many on the left hand side are above the 40% line. VMware Cloud on AWS is, it's expensive, so it's probably profitable and it's probably a keeper. We'll see about the rest of VMware's portfolio. Like what happens to Tanzu for example. On the right, we drew a red line, just arbitrarily at those companies and products with more than a hundred mentions in the survey, everything but Tanzu from VMware makes that cut. Again, this is no indication of profitability here, and that's what's going to matter to Broadcom. Now let's take a moment to address the question of Broadcom as a software company. What the heck do they know about software, right. Well, they're not dumb over there and they know how to run a business, but there is a strategic rationale to this move beyond just doing portfolios and extracting rents and cutting R&D, et cetera, et cetera. Why, for example, isn't Broadcom going after coming back to Dell or HPE, it could pick up for a lot less than VMware, and they got way more revenue than VMware. Well, it's obvious, software's more profitable of course, and Broadcom wants to move up the stack, but there's a trend going on, which Broadcom is very much in touch with. First, it sells to Dell and HPE and Cisco and all the OEM. so it's not going to disrupt that. But this chart shows that the value is flowing away from traditional servers and storage and networking to two places, merchant Silicon, which itself is morphing. Broadcom... We focus on the left hand side of this chart. Broadcom correctly believes that the world is shifting from a CPU centric center of gravity to a connectivity centric world. We've talked about this on theCUBE a lot. You should listen to Broadcom COO Charlie Kawwas speak about this. It's all that supporting infrastructure around the CPU where value is flowing, including of course, alternative GPUs and XPUs, and NPUs et cetera, that are sucking the value out of the traditional x86 architecture, offloading some of the security and networking and storage functions that traditionally have been done in x86 which are part of the waste right now in the data center. This is that shifting dynamic of Moore's law. Moore's law, not keeping pace. It's slowing down. It's slower relative to some of the combinatorial factors. When you add up in all the CPU and GPU and NPU and accelerators, et cetera. So we've talked about this a lot in Breaking Analysis episodes. So the value is shifting left within that middle circle. And it's shifting left within that left circle toward components, other than CPU, many of which Broadcom supplies. And then you go back to the middle, value is shifting from that middle section, that traditional data center up into hyperscale clouds, and then to the right toward infrastructure software to manage all that equipment in the data center and across clouds. And look Broadcom is an arms dealer. They simply sell to everyone, locking up key vectors of the value chain, cutting costs and raising prices. It's a pretty straightforward strategy, but not for the fate of heart. And Broadcom has become pretty good at it. Let's close with the customer feedback. I spoke with ETRs Eric Bradley this morning. He and I both reached out to VMware customers that we know and got their input. And here's a little snapshot of what they said. I'll just read this. Broadcom will be looking to invest in the core and divest of any underperforming assets, right on. It's just what we were saying. This doesn't bode well for future innovation, this is a CTO at a large travel company. Next comment, we're a Carbon Black customer. VMware didn't seem to interfere with Carbon Black, but now that we're concerned about short term disruption to their tech roadmap and long term, are they going to split and be sold off like Symantec was, this is a CISO at a large hospitality organization. Third comment, I got directly from a VMware practitioner, an IT director at a manufacturing firm. This individual said, moving off VMware would be very difficult for us. We have over 500 applications running on VMware, and it's really easy to manage. We're not going to move those into the cloud and we're worried Broadcom will raise prices and just extract rents. Last comment, we'll share as, Broadcom sees the cloud data center and IoT is their next revenue source. The VMware acquisition provides them immediate virtualization capabilities to support a lightweight IoT offering. Big concern for customers is what technology they will invest in and innovate, and which will be stripped off and sold. Interesting. I asked David Floyer to give me a back of napkin estimate for the following question. I said, David, if you're running mission critical applications on VMware, how much would it increase your operating cost moving those applications into the cloud? Or how much would it save? And he said, Dave, VMware's really easy to run. It can run any application pretty much anywhere, and you don't need an army of people to manage it. All your processes are tied to VMware, you're locked and loaded. Move that into the cloud and your operating cost would double by his estimates. Well, there you have it. Broadcom will pinpoint the optimal profit maximization strategy and raise prices to the point where customers say, you know what, we're still better off staying with VMware. And sadly, for many practitioners there aren't a lot of choices. You could move to the cloud and increase your cost for a lot of your applications. You could do it yourself with say Zen or OpenStack. Good luck with that. You could tap Nutanix. That will definitely work for some applications, but are you going to move your entire estate, your application portfolio to Nutanix? It's not likely. So you're going to pay more for VMware and that's the price you're going to pay for two decades of better IT. So our advice is get out ahead of this, do an application portfolio assessment. If you can move apps to the cloud for less, and you haven't yet, do it, start immediately. Definitely give Nutanix a call, but going to have to be selective as to what you actually can move, forget porting to OpenStack, or do it yourself Hypervisor, don't even go there. And start building new cloud native apps where it makes sense and let the VMware stuff go into manage decline. Let certain apps just die through attrition, shift your development resources to innovation in the cloud and build a brick wall around the stable apps with VMware. As Paul Maritz, the former CEO of VMware said, "We are building the software mainframe". Now marketing guys got a hold of that and said, Paul, stop saying that, but it's true. And with Broadcom's help that day we'll soon be here. That's it for today. Thanks to Stephanie Chan who helps research our topics for Breaking Analysis. Alex Myerson does the production and he also manages the Breaking Analysis podcast. Kristen Martin and Cheryl Knight help get the word out on social and thanks to Rob Hof, who was our editor in chief at siliconangle.com. Remember, these episodes are all available as podcast, wherever you listen, just search Breaking Analysis podcast. Check out ETRs website at etr.ai for all the survey action. We publish a full report every week on wikibon.com and siliconangle.com. You can email me directly at david.vellante@siliconangle.com. You can DM me at DVellante or comment on our LinkedIn posts. This is Dave Vellante for theCUBE Insights powered by ETR. Have a great week, stay safe, be well. And we'll see you next time. (upbeat music)

Published Date : May 28 2022

SUMMARY :

This is Breaking Analysis and promises that the acquisition

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
DavidPERSON

0.99+

Stephanie ChanPERSON

0.99+

CiscoORGANIZATION

0.99+

Dave VellantePERSON

0.99+

SymantecORGANIZATION

0.99+

Rob HofPERSON

0.99+

Alex MyersonPERSON

0.99+

April 22DATE

0.99+

HPORGANIZATION

0.99+

David FloyerPERSON

0.99+

AWSORGANIZATION

0.99+

DellORGANIZATION

0.99+

OracleORGANIZATION

0.99+

HPEORGANIZATION

0.99+

Paul MaritzPERSON

0.99+

BroadcomORGANIZATION

0.99+

VMwareORGANIZATION

0.99+

NvidiaORGANIZATION

0.99+

Eric BradleyPERSON

0.99+

April 21DATE

0.99+

NSXORGANIZATION

0.99+

IBMORGANIZATION

0.99+

Cheryl KnightPERSON

0.99+

DavePERSON

0.99+

JanuaryDATE

0.99+

$61 billionQUANTITY

0.99+

8.5 billionQUANTITY

0.99+

$2.1 billionQUANTITY

0.99+

MicrosoftORGANIZATION

0.99+

Palo AltoLOCATION

0.99+

EMCORGANIZATION

0.99+

AcropolisORGANIZATION

0.99+

Kristen MartinPERSON

0.99+

90%QUANTITY

0.99+

6%QUANTITY

0.99+

4.7 billionQUANTITY

0.99+

GoogleORGANIZATION

0.99+

Hock TanORGANIZATION

0.99+

60%QUANTITY

0.99+

44%QUANTITY

0.99+

40 dayQUANTITY

0.99+

61%QUANTITY

0.99+

8 billionQUANTITY

0.99+

Michael DellPERSON

0.99+

52%QUANTITY

0.99+

47%QUANTITY

0.99+

The Future Is Built On InFluxDB


 

>>Time series data is any data that's stamped in time in some way that could be every second, every minute, every five minutes, every hour, every nanosecond, whatever it might be. And typically that data comes from sources in the physical world like devices or sensors, temperature, gauges, batteries, any device really, or things in the virtual world could be software, maybe it's software in the cloud or data and containers or microservices or virtual machines. So all of these items, whether in the physical or virtual world, they're generating a lot of time series data. Now time series data has been around for a long time, and there are many examples in our everyday lives. All you gotta do is punch up any stock, ticker and look at its price over time and graphical form. And that's a simple use case that anyone can relate to and you can build timestamps into a traditional relational database. >>You just add a column to capture time and as well, there are examples of log data being dumped into a data store that can be searched and captured and ingested and visualized. Now, the problem with the latter example that I just gave you is that you gotta hunt and Peck and search and extract what you're looking for. And the problem with the former is that traditional general purpose databases they're designed as sort of a Swiss army knife for any workload. And there are a lot of functions that get in the way and make them inefficient for time series analysis, especially at scale. Like when you think about O T and edge scale, where things are happening super fast, ingestion is coming from many different sources and analysis often needs to be done in real time or near real time. And that's where time series databases come in. >>They're purpose built and can much more efficiently support ingesting metrics at scale, and then comparing data points over time, time series databases can write and read at significantly higher speeds and deal with far more data than traditional database methods. And they're more cost effective instead of throwing processing power at the problem. For example, the underlying architecture and algorithms of time series databases can optimize queries and they can reclaim wasted storage space and reuse it. At scale time, series databases are simply a better fit for the job. Welcome to moving the world with influx DB made possible by influx data. My name is Dave Valante and I'll be your host today. Influx data is the company behind InfluxDB. The open source time series database InfluxDB is designed specifically to handle time series data. As I just explained, we have an exciting program for you today, and we're gonna showcase some really interesting use cases. >>First, we'll kick it off in our Palo Alto studios where my colleague, John furrier will interview Evan Kaplan. Who's the CEO of influx data after John and Evan set the table. John's gonna sit down with Brian Gilmore. He's the director of IOT and emerging tech at influx data. And they're gonna dig into where influx data is gaining traction and why adoption is occurring and, and why it's so robust. And they're gonna have tons of examples and double click into the technology. And then we bring it back here to our east coast studios, where I get to talk to two practitioners, doing amazing things in space with satellites and modern telescopes. These use cases will blow your mind. You don't want to miss it. So thanks for being here today. And with that, let's get started. Take it away. Palo Alto. >>Okay. Today we welcome Evan Kaplan, CEO of influx data, the company behind influx DB. Welcome Evan. Thanks for coming on. >>Hey John, thanks for having me >>Great segment here on the influx DB story. What is the story? Take us through the history. Why time series? What's the story >><laugh> so the history history is actually actually pretty interesting. Um, Paul dicks, my partner in this and our founder, um, super passionate about developers and developer experience. And, um, he had worked on wall street building a number of time series kind of platform trading platforms for trading stocks. And from his point of view, it was always what he would call a yak shave, which means you had to do a ton of work just to start doing work, which means you had to write a bunch of extrinsic routines. You had to write a bunch of application handling on existing relational databases in order to come up with something that was optimized for a trading platform or a time series platform. And he sort of, he just developed this real clear point of view is this is not how developers should work. And so in 2013, he went through why Combinator and he built something for, he made his first commit to open source in flu DB at the end of 2013. And, and he basically, you know, from my point of view, he invented modern time series, which is you start with a purpose-built time series platform to do these kind of workloads. And you get all the benefits of having something right outta the box. So a developer can be totally productive right away. >>And how many people in the company what's the history of employees and stuff? >>Yeah, I think we're, I, you know, I always forget the number, but it's something like 230 or 240 people now. Um, the company, I joined the company in 2016 and I love Paul's vision. And I just had a strong conviction about the relationship between time series and IOT. Cuz if you think about it, what sensors do is they speak time, series, pressure, temperature, volume, humidity, light, they're measuring they're instrumenting something over time. And so I thought that would be super relevant over long term and I've not regretted it. >>Oh no. And it's interesting at that time, go back in the history, you know, the role of databases, well, relational database is the one database to rule the world. And then as clouds started coming in, you starting to see more databases, proliferate types of databases and time series in particular is interesting. Cuz real time has become super valuable from an application standpoint, O T which speaks time series means something it's like time matters >>Time. >>Yeah. And sometimes data's not worth it after the time, sometimes it worth it. And then you get the data lake. So you have this whole new evolution. Is this the momentum? What's the momentum, I guess the question is what's the momentum behind >>You mean what's causing us to grow. So >>Yeah, the time series, why is time series >>And the >>Category momentum? What's the bottom line? >>Well, think about it. You think about it from a broad, broad sort of frame, which is where, what everybody's trying to do is build increasingly intelligent systems, whether it's a self-driving car or a robotic system that does what you want to do or a self-healing software system, everybody wants to build increasing intelligent systems. And so in order to build these increasing intelligent systems, you have to instrument the system well, and you have to instrument it over time, better and better. And so you need a tool, a fundamental tool to drive that instrumentation. And that's become clear to everybody that that instrumentation is all based on time. And so what happened, what happened, what happened what's gonna happen? And so you get to these applications like predictive maintenance or smarter systems. And increasingly you want to do that stuff, not just intelligently, but fast in real time. So millisecond response so that when you're driving a self-driving car and the system realizes that you're about to do something, essentially you wanna be able to act in something that looks like real time, all systems want to do that, want to be more intelligent and they want to be more real time. And so we just happen to, you know, we happen to show up at the right time in the evolution of a >>Market. It's interesting near real time. Isn't good enough when you need real time. >><laugh> yeah, it's not, it's not. And it's like, and it's like, everybody wants, even when you don't need it, ironically, you want it. It's like having the feature for, you know, you buy a new television, you want that one feature, even though you're not gonna use it, you decide that your buying criteria real time is a buying criteria >>For, so you, I mean, what you're saying then is near real time is getting closer to real time as possible, as fast as possible. Right. Okay. So talk about the aspect of data, cuz we're hearing a lot of conversations on the cube in particular around how people are implementing and actually getting better. So iterating on data, but you have to know when it happened to get, know how to fix it. So this is a big part of how we're seeing with people saying, Hey, you know, I wanna make my machine learning algorithms better after the fact I wanna learn from the data. Um, how does that, how do you see that evolving? Is that one of the use cases of sensors as people bring data in off the network, getting better with the data knowing when it happened? >>Well, for sure. So, so for sure, what you're saying is, is, is none of this is non-linear, it's all incremental. And so if you take something, you know, just as an easy example, if you take a self-driving car, what you're doing is you're instrumenting that car to understand where it can perform in the real world in real time. And if you do that, if you run the loop, which is I instrumented, I watch what happens, oh, that's wrong? Oh, I have to correct for that. I correct for that in the software. If you do that for a billion times, you get a self-driving car, but every system moves along that evolution. And so you get the dynamic of, you know, of constantly instrumenting watching the system behave and do it. And this and sets up driving car is one thing. But even in the human genome, if you look at some of our customers, you know, people like, you know, people doing solar arrays, people doing power walls, like all of these systems are getting smarter. >>Well, let's get into that. What are the top applications? What are you seeing for your, with in, with influx DB, the time series, what's the sweet spot for the application use case and some customers give some >>Examples. Yeah. So it's, it's pretty easy to understand on one side of the equation that's the physical side is sensors are sensors are getting cheap. Obviously we know that and they're getting the whole physical world is getting instrumented, your home, your car, the factory floor, your wrist, watch your healthcare, you name it. It's getting instrumented in the physical world. We're watching the physical world in real time. And so there are three or four sweet spots for us, but, but they're all on that side. They're all about IOT. So they're think about consumer IOT projects like Google's nest todo, um, particle sensors, um, even delivery engines like rapid who deliver the Instacart of south America, like anywhere there's a physical location do and that's on the consumer side. And then another exciting space is the industrial side factories are changing dramatically over time. Increasingly moving away from proprietary equipment to develop or driven systems that run operational because what, what has to get smarter when you're building, when you're building a factory is systems all have to get smarter. And then, um, lastly, a lot in the renewables sustainability. So a lot, you know, Tesla, lucid, motors, Cola, motors, um, you know, lots to do with electric cars, solar arrays, windmills, arrays, just anything that's gonna get instrumented that where that instrumentation becomes part of what the purpose >>Is. It's interesting. The convergence of physical and digital is happening with the data IOT. You mentioned, you know, you think of IOT, look at the use cases there, it was proprietary OT systems. Now becoming more IP enabled internet protocol and now edge compute, getting smaller, faster, cheaper AI going to the edge. Now you have all kinds of new capabilities that bring that real time and time series opportunity. Are you seeing IOT going to a new level? What was the, what's the IOT where's the IOT dots connecting to because you know, as these two cultures merge yeah. Operations, basically industrial factory car, they gotta get smarter, intelligent edge is a buzzword, but I mean, it has to be more intelligent. Where's the, where's the action in all this. So the >>Action, really, it really at the core, it's at the developer, right? Because you're looking at these things, it's very hard to get an off the shelf system to do the kinds of physical and software interaction. So the actions really happen at the developer. And so what you're seeing is a movement in the world that, that maybe you and I grew up in with it or OT moving increasingly that developer driven capability. And so all of these IOT systems they're bespoke, they don't come out of the box. And so the developer, the architect, the CTO, they define what's my business. What am I trying to do? Am I trying to sequence a human genome and figure out when these genes express theself or am I trying to figure out when the next heart rate monitor's gonna show up on my apple watch, right? What am I trying to do? What's the system I need to build. And so starting with the developers where all of the good stuff happens here, which is different than it used to be, right. Used to be you'd buy an application or a service or a SA thing for, but with this dynamic, with this integration of systems, it's all about bespoke. It's all about building >>Something. So let's get to the developer real quick, real highlight point here is the data. I mean, I could see a developer saying, okay, I need to have an application for the edge IOT edge or car. I mean, we're gonna have, I mean, Tesla's got applications of the car it's right there. I mean, yes, there's the modern application life cycle now. So take us through how this impacts the developer. Does it impact their C I C D pipeline? Is it cloud native? I mean, where does this all, where does this go to? >>Well, so first of all, you're talking about, there was an internal journey that we had to go through as a company, which, which I think is fascinating for anybody who's interested is we went from primarily a monolithic software that was open sourced to building a cloud native platform, which means we had to move from an agile development environment to a C I C D environment. So to a degree that you are moving your service, whether it's, you know, Tesla monitoring your car and updating your power walls, right. Or whether it's a solar company updating the arrays, right. To degree that that service is cloud. Then increasingly remove from an agile development to a C I C D environment, which you're shipping code to production every day. And so it's not just the developers, all the infrastructure to support the developers to run that service and that sort of stuff. I think that's also gonna happen in a big way >>When your customer base that you have now, and as you see, evolving with infl DB, is it that they're gonna be writing more of the application or relying more on others? I mean, obviously there's an open source component here. So when you bring in kind of old way, new way old way was I got a proprietary, a platform running all this O T stuff and I gotta write, here's an application. That's general purpose. Yeah. I have some flexibility, somewhat brittle, maybe not a lot of robustness to it, but it does its job >>A good way to think about this is versus a new way >>Is >>What so yeah, good way to think about this is what, what's the role of the developer slash architect CTO that chain within a large, within an enterprise or a company. And so, um, the way to think about it is I started my career in the aerospace industry <laugh> and so when you look at what Boeing does to assemble a plane, they build very, very few of the parts. Instead, what they do is they assemble, they buy the wings, they buy the engines, they assemble, actually, they don't buy the wings. It's the one thing they buy the, the material for the w they build the wings, cuz there's a lot of tech in the wings and they end up being assemblers smart assemblers of what ends up being a flying airplane, which is pretty big deal even now. And so what, what happens with software people is they have the ability to pull from, you know, the best of the open source world. So they would pull a time series capability from us. Then they would assemble that with, with potentially some ETL logic from somebody else, or they'd assemble it with, um, a Kafka interface to be able to stream the data in. And so they become very good integrators and assemblers, but they become masters of that bespoke application. And I think that's where it goes, cuz you're not writing native code for everything. >>So they're more flexible. They have faster time to market cuz they're assembling way faster and they get to still maintain their core competency. Okay. Their wings in this case, >>They become increasingly not just coders, but designers and developers. They become broadly builders is what we like to think of it. People who start and build stuff by the way, this is not different than the people just up the road Google have been doing for years or the tier one, Amazon building all their own. >>Well, I think one of the things that's interesting is is that this idea of a systems developing a system architecture, I mean systems, uh, uh, systems have consequences when you make changes. So when you have now cloud data center on premise and edge working together, how does that work across the system? You can't have a wing that doesn't work with the other wing kind of thing. >>That's exactly. But that's where the that's where the, you know, that that Boeing or that airplane building analogy comes in for us. We've really been thoughtful about that because IOT it's critical. So our open source edge has the same API as our cloud native stuff that has enterprise on pre edge. So our multiple products have the same API and they have a relationship with each other. They can talk with each other. So the builder builds it once. And so this is where, when you start thinking about the components that people have to use to build these services is that you wanna make sure, at least that base layer, that database layer, that those components talk to each other. >>So I'll have to ask you if I'm the customer. I put my customer hat on. Okay. Hey, I'm dealing with a lot. >>That mean you have a PO for <laugh> >>A big check. I blank check. If you can answer this question only if the tech, if, if you get the question right, I got all this important operation stuff. I got my factory, I got my self-driving cars. This isn't like trivial stuff. This is my business. How should I be thinking about time series? Because now I have to make these architectural decisions, as you mentioned, and it's gonna impact my application development. So huge decision point for your customers. What should I care about the most? So what's in it for me. Why is time series >>Important? Yeah, that's a great question. So chances are, if you've got a business that was, you know, 20 years old or 25 years old, you were already thinking about time series. You probably didn't call it that you built something on a Oracle or you built something on IBM's DB two, right. And you made it work within your system. Right? And so that's what you started building. So it's already out there. There are, you know, there are probably hundreds of millions of time series applications out there today. But as you start to think about this increasing need for real time, and you start to think about increasing intelligence, you think about optimizing those systems over time. I hate the word, but digital transformation. Then you start with time series. It's a foundational base layer for any system that you're gonna build. There's no system I can think of where time series, shouldn't be the foundational base layer. If you just wanna store your data and just leave it there and then maybe look it up every five years. That's fine. That's not time. Series time series is when you're building a smarter, more intelligent, more real time system. And the developers now know that. And so the more they play a role in building these systems, the more obvious it becomes. >>And since I have a PO for you and a big check, yeah. What is, what's the value to me as I, when I implement this, what's the end state, what's it look like when it's up and running? What's the value proposition for me. What's an >>So, so when it's up and running, you're able to handle the queries, the writing of the data, the down sampling of the data, they're transforming it in near real time. So that the other dependencies that a system that gets for adjusting a solar array or trading energy off of a power wall or some sort of human genome, those systems work better. So time series is foundational. It's not like it's, you know, it's not like it's doing every action that's above, but it's foundational to build a really compelling, intelligent system. I think that's what developers and archs are seeing now. >>Bottom line, final word. What's in it for the customer. What's what, what's your, um, what's your statement to the customer? What would you say to someone looking to do something in time series on edge? >>Yeah. So, so it's pretty clear to clear to us that if you're building, if you view yourself as being in the build business of building systems that you want 'em to be increasingly intelligent, self-healing autonomous. You want 'em to operate in real time that you start from time series. But I also wanna say what's in it for us influx what's in it for us is people are doing some amazing stuff. You know, I highlighted some of the energy stuff, some of the human genome, some of the healthcare it's hard not to be proud or feel like, wow. Yeah. Somehow I've been lucky. I've arrived at the right time, in the right place with the right people to be able to deliver on that. That's that's also exciting on our side of the equation. >>Yeah. It's critical infrastructure, critical, critical operations. >>Yeah. >>Yeah. Great stuff, Evan. Thanks for coming on. Appreciate this segment. All right. In a moment, Brian Gilmore director of IOT and emerging technology that influx day will join me. You're watching the cube leader in tech coverage. Thanks for watching >>Time series data from sensors systems and applications is a key source in driving automation and prediction in technologies around the world. But managing the massive amount of timestamp data generated these days is overwhelming, especially at scale. That's why influx data developed influx DB, a time series data platform that collects stores and analyzes data influx DB empowers developers to extract valuable insights and turn them into action by building transformative IOT analytics and cloud native applications, purpose built and optimized to handle the scale and velocity of timestamped data. InfluxDB puts the power in your hands with developer tools that make it easy to get started quickly with less code InfluxDB is more than a database. It's a robust developer platform with integrated tooling. That's written in the languages you love. So you can innovate faster, run in flex DB anywhere you want by choosing the provider and region that best fits your needs across AWS, Microsoft Azure and Google cloud flex DB is fast and automatically scalable. So you can spend time delivering value to customers, not managing clusters, take control of your time series data. So you can focus on the features and functionalities that give your applications a competitive edge. Get started for free with influx DB, visit influx data.com/cloud to learn more. >>Okay. Now we're joined by Brian Gilmore director of IOT and emerging technologies at influx data. Welcome to the show. >>Thank you, John. Great to be here. >>We just spent some time with Evan going through the company and the value proposition, um, with influx DV, what's the momentum, where do you see this coming from? What's the value coming out of this? >>Well, I think it, we're sort of hitting a point where the technology is, is like the adoption of it is becoming mainstream. We're seeing it in all sorts of organizations, everybody from like the most well funded sort of advanced big technology companies to the smaller academics, the startups and the managing of that sort of data that emits from that technology is time series and us being able to give them a, a platform, a tool that's super easy to use, easy to start. And then of course will grow with them is, is been key to us. Sort of, you know, riding along with them is they're successful. >>Evan was mentioning that time series has been on everyone's radar and that's in the OT business for years. Now, you go back since 20 13, 14, even like five years ago that convergence of physical and digital coming together, IP enabled edge. Yeah. Edge has always been kind of hyped up, but why now? Why, why is the edge so hot right now from an adoption standpoint? Is it because it's just evolution, the tech getting better? >>I think it's, it's, it's twofold. I think that, you know, there was, I would think for some people, everybody was so focused on cloud over the last probably 10 years. Mm-hmm <affirmative> that they forgot about the compute that was available at the edge. And I think, you know, those, especially in the OT and on the factory floor who weren't able to take Avan full advantage of cloud through their applications, you know, still needed to be able to leverage that compute at the edge. I think the big thing that we're seeing now, which is interesting is, is that there's like a hybrid nature to all of these applications where there's definitely some data that's generated on the edge. There's definitely done some data that's generated in the cloud. And it's the ability for a developer to sort of like tie those two systems together and work with that data in a very unified uniform way. Um, that's giving them the opportunity to build solutions that, you know, really deliver value to whatever it is they're trying to do, whether it's, you know, the, the out reaches of outer space or whether it's optimizing the factory floor. >>Yeah. I think, I think one of the things you also mentions genome too, dig big data is coming to the real world. And I think I, OT has been kind of like this thing for OT and, and in some use case, but now with the, with the cloud, all companies have an edge strategy now. So yeah, what's the secret sauce because now this is hot, hot product for the whole world and not just industrial, but all businesses. What's the secret sauce. >>Well, I mean, I think part of it is just that the technology is becoming more capable and that's especially on the hardware side, right? I mean, like technology compute is getting smaller and smaller and smaller. And we find that by supporting all the way down to the edge, even to the micro controller layer with our, um, you know, our client libraries and then working hard to make our applications, especially the database as small as possible so that it can be located as close to sort of the point of origin of that data in the edge as possible is, is, is fantastic. Now you can take that. You can run that locally. You can do your local decision making. You can use influx DB as sort of an input to automation control the autonomy that people are trying to drive at the edge. But when you link it up with everything that's in the cloud, that's when you get all of the sort of cloud scale capabilities of parallelized, AI and machine learning and all of that. >>So what's interesting is the open source success has been something that we've talked about a lot in the cube about how people are leveraging that you guys have users in the enterprise users that IOT market mm-hmm <affirmative>, but you got developers now. Yeah. Kind of together brought that up. How do you see that emerging? How do developers engage? What are some of the things you're seeing that developers are really getting into with InfluxDB >>What's? Yeah. Well, I mean, I think there are the developers who are building companies, right? And these are the startups and the folks that we love to work with who are building new, you know, new services, new products, things like that. And, you know, especially on the consumer side of IOT, there's a lot of that, just those developers. But I think we, you gotta pay attention to those enterprise developers as well, right? There are tons of people with the, the title of engineer in, in your regular enterprise organizations. And they're there for systems integration. They're there for, you know, looking at what they would build versus what they would buy. And a lot of them come from, you know, a strong, open source background and they, they know the communities, they know the top platforms in those spaces and, and, you know, they're excited to be able to adopt and use, you know, to optimize inside the business as compared to just building a brand new one. >>You know, it's interesting too, when Evan and I were talking about open source versus closed OT systems, mm-hmm <affirmative> so how do you support the backwards compatibility of older systems while maintaining open dozens of data formats out there? Bunch of standards, protocols, new things are emerging. Everyone wants to have a control plane. Everyone wants to leverage the value of data. How do you guys keep track of it all? What do you guys support? >>Yeah, well, I mean, I think either through direct connection, like we have a product called Telegraph, it's unbelievable. It's open source, it's an edge agent. You can run it as close to the edge as you'd like, it speaks dozens of different protocols in its own, right? A couple of which MQTT B, C U a are very, very, um, applicable to these T use cases. But then we also, because we are sort of not only open source, but open in terms of our ability to collect data, we have a lot of partners who have built really great integrations from their own middleware, into influx DB. These are companies like ke wear and high bite who are really experts in those downstream industrial protocols. I mean, that's a business, not everybody wants to be in. It requires some very specialized, very hard work and a lot of support, um, you know, and so by making those connections and building those ecosystems, we get the best of both worlds. The customers can use the platforms they need up to the point where they would be putting into our database. >>What's some of customer testimonies that they, that share with you. Can you share some anecdotal kind of like, wow, that's the best thing I've ever used. This really changed my business, or this is a great tech that's helped me in these other areas. What are some of the, um, soundbites you hear from customers when they're successful? >>Yeah. I mean, I think it ranges. You've got customers who are, you know, just finally being able to do the monitoring of assets, you know, sort of at the edge in the field, we have a customer who's who's has these tunnel boring machines that go deep into the earth to like drill tunnels for, for, you know, cars and, and, you know, trains and things like that. You know, they are just excited to be able to stick a database onto those tunnel, boring machines, send them into the depths of the earth and know that when they come out, all of that telemetry at a very high frequency has been like safely stored. And then it can just very quickly and instantly connect up to their, you know, centralized database. So like just having that visibility is brand new to them. And that's super important. On the other hand, we have customers who are way far beyond the monitoring use case, where they're actually using the historical records in the time series database to, um, like I think Evan mentioned like forecast things. So for predictive maintenance, being able to pull in the telemetry from the machines, but then also all of that external enrichment data, the metadata, the temperatures, the pressure is who is operating the machine, those types of things, and being able to easily integrate with platforms like Jupyter notebooks or, you know, all of those scientific computing and machine learning libraries to be able to build the models, train the models, and then they can send that information back down to InfluxDB to apply it and detect those anomalies, which >>Are, I think that's gonna be an, an area. I personally think that's a hot area because I think if you look at AI right now, yeah. It's all about training the machine learning albums after the fact. So time series becomes hugely important. Yeah. Cause now you're thinking, okay, the data matters post time. Yeah. First time. And then it gets updated the new time. Yeah. So it's like constant data cleansing data iteration, data programming. We're starting to see this new use case emerge in the data field. >>Yep. Yeah. I mean, I think you agree. Yeah, of course. Yeah. The, the ability to sort of handle those pipelines of data smartly, um, intelligently, and then to be able to do all of the things you need to do with that data in stream, um, before it hits your sort of central repository. And, and we make that really easy for customers like Telegraph, not only does it have sort of the inputs to connect up to all of those protocols and the ability to capture and connect up to the, to the partner data. But also it has a whole bunch of capabilities around being able to process that data, enrich it, reform at it, route it, do whatever you need. So at that point you're basically able to, you're playing your data in exactly the way you would wanna do it. You're routing it to different, you know, destinations and, and it's, it's, it's not something that really has been in the realm of possibility until this point. Yeah. Yeah. >>And when Evan was on it's great. He was a CEO. So he sees the big picture with customers. He was, he kinda put the package together that said, Hey, we got a system. We got customers, people are wanting to leverage our product. What's your PO they're sell. He's selling too as well. So you have that whole CEO perspective, but he brought up this notion that there's multiple personas involved in kind of the influx DB system architect. You got developers and users. Can you talk about that? Reality as customers start to commercialize and operationalize this from a commercial standpoint, you got a relationship to the cloud. Yep. The edge is there. Yep. The edge is getting super important, but cloud brings a lot of scale to the table. So what is the relationship to the cloud? Can you share your thoughts on edge and its relationship to the cloud? >>Yeah. I mean, I think edge, you know, edges, you can think of it really as like the local information, right? So it's, it's generally like compartmentalized to a point of like, you know, a single asset or a single factory align, whatever. Um, but what people do who wanna pro they wanna be able to make the decisions there at the edge locally, um, quickly minus the latency of sort of taking that large volume of data, shipping it to the cloud and doing something with it there. So we allow them to do exactly that. Then what they can do is they can actually downsample that data or they can, you know, detect like the really important metrics or the anomalies. And then they can ship that to a central database in the cloud where they can do all sorts of really interesting things with it. Like you can get that centralized view of all of your global assets. You can start to compare asset to asset, and then you can do those things like we talked about, whereas you can do predictive types of analytics or, you know, larger scale anomaly detections. >>So in this model you have a lot of commercial operations, industrial equipment. Yep. The physical plant, physical business with virtual data cloud all coming together. What's the future for InfluxDB from a tech standpoint. Cause you got open. Yep. There's an ecosystem there. Yep. You have customers who want operational reliability for sure. I mean, so you got organic <laugh> >>Yeah. Yeah. I mean, I think, you know, again, we got iPhones when everybody's waiting for flying cars. Right. So I don't know. We can like absolutely perfectly predict what's coming, but I think there are some givens and I think those givens are gonna be that the world is only gonna become more hybrid. Right. And then, you know, so we are going to have much more widely distributed, you know, situations where you have data being generated in the cloud, you have data gen being generated at the edge and then there's gonna be data generated sort sort of at all points in between like physical locations as well as things that are, that are very virtual. And I think, you know, we are, we're building some technology right now. That's going to allow, um, the concept of a database to be much more fluid and flexible, sort of more aligned with what a file would be like. >>And so being able to move data to the compute for analysis or move the compute to the data for analysis, those are the types of, of solutions that we'll be bringing to the customers sort of over the next little bit. Um, but I also think we have to start thinking about like what happens when the edge is actually off the planet. Right. I mean, we've got customers, you're gonna talk to two of them, uh, in the panel who are actually working with data that comes from like outside the earth, like, you know, either in low earth orbit or you know, all the way sort of on the other side of the universe. Yeah. And, and to be able to process data like that and to do so in a way it's it's we gotta, we gotta build the fundamentals for that right now on the factory floor and in the mines and in the tunnels. Um, so that we'll be ready for that one. >>I think you bring up a good point there because one of the things that's common in the industry right now, people are talking about, this is kind of new thinking is hyper scale's always been built up full stack developers, even the old OT world, Evan was pointing out that they built everything right. And the world's going to more assembly with core competency and IP and also property being the core of their apple. So faster assembly and building, but also integration. You got all this new stuff happening. Yeah. And that's to separate out the data complexity from the app. Yes. So space genome. Yep. Driving cars throws off massive data. >>It >>Does. So is Tesla, uh, is the car the same as the data layer? >>I mean the, yeah, it's, it's certainly a point of origin. I think the thing that we wanna do is we wanna let the developers work on the world, changing problems, the things that they're trying to solve, whether it's, you know, energy or, you know, any of the other health or, you know, other challenges that these teams are, are building against. And we'll worry about that time series data and the underlying data platform so that they don't have to. Right. I mean, I think you talked about it, uh, you know, for them just to be able to adopt the platform quickly, integrate it with their data sources and the other pieces of their applications. It's going to allow them to bring much faster time to market on these products. It's gonna allow them to be more iterative. They're gonna be able to do more sort of testing and things like that. And ultimately it will, it'll accelerate the adoption and the creation of >>Technology. You mentioned earlier in, in our talk about unification of data. Yeah. How about APIs? Cuz developers love APIs in the cloud unifying APIs. How do you view view that? >>Yeah, I mean, we are APIs, that's the product itself. Like everything, people like to think of it as sort of having this nice front end, but the front end is B built on our public APIs. Um, you know, and it, it allows the developer to build all of those hooks for not only data creation, but then data processing, data analytics, and then, you know, sort of data extraction to bring it to other platforms or other applications, microservices, whatever it might be. So, I mean, it is a world of APIs right now and you know, we, we bring a very sort of useful set of them for managing the time series data. These guys are all challenged with. It's >>Interesting. You and I were talking before we came on camera about how, um, data is, feels gonna have this kind of SRE role that DevOps had site reliability engineers, which manages a bunch of servers. There's so much data out there now. Yeah. >>Yeah. It's like reigning data for sure. And I think like that ability to be like one of the best jobs on the planet is gonna be to be able to like, sort of be that data Wrangler to be able to understand like what the data sources are, what the data formats are, how to be able to efficiently move that data from point a to point B and you know, to process it correctly so that the end users of that data aren't doing any of that sort of hard upfront preparation collection storage's >>Work. Yeah. That's data as code. I mean, data engineering is it is becoming a new discipline for sure. And, and the democratization is the benefit. Yeah. To everyone, data science get easier. I mean data science, but they wanna make it easy. Right. <laugh> yeah. They wanna do the analysis, >>Right? Yeah. I mean, I think, you know, it, it's a really good point. I think like we try to give our users as many ways as there could be possible to get data in and get data out. We sort of think about it as meeting them where they are. Right. So like we build, we have the sort of client libraries that allow them to just port to us, you know, directly from the applications and the languages that they're writing, but then they can also pull it out. And at that point nobody's gonna know the users, the end consumers of that data, better than those people who are building those applications. And so they're building these user interfaces, which are making all of that data accessible for, you know, their end users inside their organization. >>Well, Brian, great segment, great insight. Thanks for sharing all, all the complexities and, and IOT that you guys helped take away with the APIs and, and assembly and, and all the system architectures that are changing edge is real cloud is real. Yeah, absolutely. Mainstream enterprises. And you got developer attraction too, so congratulations. >>Yeah. It's >>Great. Well, thank any, any last word you wanna share >>Deal with? No, just, I mean, please, you know, if you're, if you're gonna, if you're gonna check out influx TV, download it, try out the open source contribute if you can. That's a, that's a huge thing. It's part of being the open source community. Um, you know, but definitely just, just use it. I think when once people use it, they try it out. They'll understand very, >>Very quickly. So open source with developers, enterprise and edge coming together all together. You're gonna hear more about that in the next segment, too. Right. Thanks for coming on. Okay. Thanks. When we return, Dave LAN will lead a panel on edge and data influx DB. You're watching the cube, the leader in high tech enterprise coverage. >>Why the startup, we move really fast. We find that in flex DB can move as fast as us. It's just a great group, very collaborative, very interested in manufacturing. And we see a bright future in working with influence. My name is Aaron Seley. I'm the CTO at HBI. Highlight's one of the first companies to focus on manufacturing data and apply the concepts of data ops, treat that as an asset to deliver to the it system, to enable applications like overall equipment effectiveness that can help the factory produce better, smarter, faster time series data. And manufacturing's really important. If you take a piece of equipment, you have the temperature pressure at the moment that you can look at to kind of see the state of what's going on. So without that context and understanding you can't do what manufacturers ultimately want to do, which is predict the future. >>Influx DB represents kind of a new way to storm time series data with some more advanced technology and more importantly, more open technologies. The other thing that influx does really well is once the data's influx, it's very easy to get out, right? They have a modern rest API and other ways to access the data. That would be much more difficult to do integrations with classic historians highlight can serve to model data, aggregate data on the shop floor from a multitude of sources, whether that be P C U a servers, manufacturing execution systems, E R P et cetera, and then push that seamlessly into influx to then be able to run calculations. Manufacturing is changing this industrial 4.0, and what we're seeing is influx being part of that equation. Being used to store data off the unified name space, we recommend InfluxDB all the time to customers that are exploring a new way to share data manufacturing called the unified name space who have open questions around how do I share this new data that's coming through my UNS or my QTT broker? How do I store this and be able to query it over time? And we often point to influx as a solution for that is a great brand. It's a great group of people and it's a great technology. >>Okay. We're now going to go into the customer panel and we'd like to welcome Angelo Fasi. Who's a software engineer at the Vera C Ruben observatory in Caleb McLaughlin whose senior spacecraft operations software engineer at loft orbital guys. Thanks for joining us. You don't wanna miss folks this interview, Caleb, let's start with you. You work for an extremely cool company. You're launching satellites into space. I mean, there, of course doing that is, is highly complex and not a cheap endeavor. Tell us about loft Orbi and what you guys do to attack that problem. >>Yeah, absolutely. And, uh, thanks for having me here by the way. Uh, so loft orbital is a, uh, company. That's a series B startup now, uh, who and our mission basically is to provide, uh, rapid access to space for all kinds of customers. Uh, historically if you want to fly something in space, do something in space, it's extremely expensive. You need to book a launch, build a bus, hire a team to operate it, you know, have a big software teams, uh, and then eventually worry about, you know, a bunch like just a lot of very specialized engineering. And what we're trying to do is change that from a super specialized problem that has an extremely high barrier of access to a infrastructure problem. So that it's almost as simple as, you know, deploying a VM in, uh, AWS or GCP is getting your, uh, programs, your mission deployed on orbit, uh, with access to, you know, different sensors, uh, cameras, radios, stuff like that. >>So that's, that's kind of our mission. And just to give a really brief example of the kind of customer that we can serve. Uh, there's a really cool company called, uh, totem labs who is working on building, uh, IOT cons, an IOT constellation for in of things, basically being able to get telemetry from all over the world. They're the first company to demonstrate indoor T, which means you have this little modem inside a container container that you, that you track from anywhere in the world as it's going across the ocean. Um, so they're, it's really little and they've been able to stay a small startup that's focused on their product, which is the, uh, that super crazy complicated, cool radio while we handle the whole space segment for them, which just, you know, before loft was really impossible. So that's, our mission is, uh, providing space infrastructure as a service. We are kind of groundbreaking in this area and we're serving, you know, a huge variety of customers with all kinds of different missions, um, and obviously generating a ton of data in space, uh, that we've gotta handle. Yeah. >>So amazing Caleb, what you guys do, I, now I know you were lured to the skies very early in your career, but how did you kinda land on this business? >>Yeah, so, you know, I've, I guess just a little bit about me for some people, you know, they don't necessarily know what they wanna do like early in their life. For me, I was five years old and I knew, you know, I want to be in the space industry. So, you know, I started in the air force, but have, uh, stayed in the space industry, my whole career and been a part of, uh, this is the fifth space startup that I've been a part of actually. So, you know, I've, I've, uh, kind of started out in satellites, did spent some time in working in, uh, the launch industry on rockets. Then, uh, now I'm here back in satellites and you know, honestly, this is the most exciting of the difference based startups. That I've been a part of >>Super interesting. Okay. Angelo, let's, let's talk about the Ruben observatory, ver C Ruben, famous woman scientist, you know, galaxy guru. Now you guys the observatory, you're up way up high. You're gonna get a good look at the Southern sky. Now I know COVID slowed you guys down a bit, but no doubt. You continued to code away on the software. I know you're getting close. You gotta be super excited. Give us the update on, on the observatory and your role. >>All right. So yeah, Rubin is a state of the art observatory that, uh, is in construction on a remote mountain in Chile. And, um, with Rubin, we conduct the, uh, large survey of space and time we are going to observe the sky with, uh, eight meter optical telescope and take, uh, a thousand pictures every night with a 3.2 gig up peaks of camera. And we are going to do that for 10 years, which is the duration of the survey. >>Yeah. Amazing project. Now you, you were a doctor of philosophy, so you probably spent some time thinking about what's out there and then you went out to earn a PhD in astronomy, in astrophysics. So this is something that you've been working on for the better part of your career, isn't it? >>Yeah, that's that's right. Uh, about 15 years, um, I studied physics in college, then I, um, got a PhD in astronomy and, uh, I worked for about five years in another project. Um, the dark energy survey before joining rubing in 2015. >>Yeah. Impressive. So it seems like you both, you know, your organizations are looking at space from two different angles. One thing you guys both have in common of course is, is, is software. And you both use InfluxDB as part of your, your data infrastructure. How did you discover influx DB get into it? How do you use the platform? Maybe Caleb, you could start. >>Uh, yeah, absolutely. So the first company that I extensively used, uh, influx DBN was a launch startup called, uh, Astra. And we were in the process of, uh, designing our, you know, our first generation rocket there and testing the engines, pumps, everything that goes into a rocket. Uh, and when I joined the company, our data story was not, uh, very mature. We were collecting a bunch of data in LabVIEW and engineers were taking that over to MATLAB to process it. Um, and at first there, you know, that's the way that a lot of engineers and scientists are used to working. Um, and at first that was, uh, like people weren't entirely sure that that was a, um, that that needed to change, but it's something the nice thing about InfluxDB is that, you know, it's so easy to deploy. So as the, our software engineering team was able to get it deployed and, you know, up and running very quickly and then quickly also backport all of the data that we collected thus far into influx and what, uh, was amazing to see. >>And as kind of the, the super cool moment with influx is, um, when we hooked that up to Grafana Grafana as the visualization platform we used with influx, cuz it works really well with it. Uh, there was like this aha moment of our engineers who are used to this post process kind of method for dealing with their data where they could just almost instantly easily discover data that they hadn't been able to see before and take the manual processes that they would run after a test and just throw those all in influx and have live data as tests were coming. And, you know, I saw them implementing like crazy rocket equation type stuff in influx, and it just was totally game changing for how we tested. >>So Angelo, I was explaining in my open, you know, you could, you could add a column in a traditional RDBMS and do time series, but with the volume of data that you're talking about, and the example of the Caleb just gave you, I mean, you have to have a purpose built time series database, where did you first learn about influx DB? >>Yeah, correct. So I work with the data management team, uh, and my first project was the record metrics that measured the performance of our software, uh, the software that we used to process the data. So I started implementing that in a relational database. Um, but then I realized that in fact, I was dealing with time series data and I should really use a solution built for that. And then I started looking at time series databases and I found influx B. And that was, uh, back in 2018. The another use for influx DB that I'm also interested is the visits database. Um, if you think about the observations we are moving the telescope all the time in pointing to specific directions, uh, in the Skype and taking pictures every 30 seconds. So that itself is a time series. And every point in that time series, uh, we call a visit. So we want to record the metadata about those visits and flex to, uh, that time here is going to be 10 years long, um, with about, uh, 1000 points every night. It's actually not too much data compared to other, other problems. It's, uh, really just a different, uh, time scale. >>The telescope at the Ruben observatory is like pun intended, I guess the star of the show. And I, I believe I read that it's gonna be the first of the next gen telescopes to come online. It's got this massive field of view, like three orders of magnitude times the Hub's widest camera view, which is amazing, right? That's like 40 moons in, in an image amazingly fast as well. What else can you tell us about the telescope? >>Um, this telescope, it has to move really fast and it also has to carry, uh, the primary mirror, which is an eight meter piece of glass. It's very heavy and it has to carry a camera, which has about the size of a small car. And this whole structure weighs about 300 tons for that to work. Uh, the telescope needs to be, uh, very compact and stiff. Uh, and one thing that's amazing about it's design is that the telescope, um, is 300 tons structure. It sits on a tiny film of oil, which has the diameter of, uh, human hair. And that makes an almost zero friction interface. In fact, a few people can move these enormous structure with only their hands. Uh, as you said, uh, another aspect that makes this telescope unique is the optical design. It's a wide field telescope. So each image has, uh, in diameter the size of about seven full moons. And, uh, with that, we can map the entire sky in only, uh, three days. And of course doing operations everything's, uh, controlled by software and it is automatic. Um there's a very complex piece of software, uh, called the scheduler, which is responsible for moving the telescope, um, and the camera, which is, uh, recording 15 terabytes of data every night. >>Hmm. And, and, and Angela, all this data lands in influx DB. Correct. And what are you doing with, with all that data? >>Yeah, actually not. Um, so we are using flex DB to record engineering data and metadata about the observations like telemetry events and commands from the telescope. That's a much smaller data set compared to the images, but it is still challenging because, uh, you, you have some high frequency data, uh, that the system needs to keep up and we need to, to start this data and have it around for the lifetime of the price. Mm, >>Got it. Thank you. Okay, Caleb, let's bring you back in and can tell us more about the, you got these dishwasher size satellites. You're kind of using a multi-tenant model. I think it's genius, but, but tell us about the satellites themselves. >>Yeah, absolutely. So, uh, we have in space, some satellites already that as you said, are like dishwasher, mini fridge kind of size. Um, and we're working on a bunch more that are, you know, a variety of sizes from shoebox to, I guess, a few times larger than what we have today. Uh, and it is, we do shoot to have effectively something like a multi-tenant model where, uh, we will buy a bus off the shelf. The bus is, uh, what you can kind of think of as the core piece of the satellite, almost like a motherboard or something where it's providing the power. It has the solar panels, it has some radios attached to it. Uh, it handles the attitude control, basically steers the spacecraft in orbit. And then we build also in house, what we call our payload hub, which is, has all, any customer payloads attached and our own kind of edge processing sort of capabilities built into it. >>And, uh, so we integrate that. We launch it, uh, and those things, because they're in lower orbit, they're orbiting the earth every 90 minutes. That's, you know, seven kilometers per second, which is several times faster than a speeding bullet. So we've got, we have, uh, one of the unique challenges of operating spacecraft and lower orbit is that generally you can't talk to them all the time. So we're managing these things through very brief windows of time, uh, where we get to talk to them through our ground sites, either in Antarctica or, you know, in the north pole region. >>Talk more about how you use influx DB to make sense of this data through all this tech that you're launching into space. >>We basically previously we started off when I joined the company, storing all of that as Angelo did in a regular relational database. And we found that it was, uh, so slow in the size of our data would balloon over the course of a couple days to the point where we weren't able to even store all of the data that we were getting. Uh, so we migrated to influx DB to store our time series telemetry from the spacecraft. So, you know, that's things like, uh, power level voltage, um, currents counts, whatever, whatever metadata we need to monitor about the spacecraft. We now store that in, uh, in influx DB. Uh, and that has, you know, now we can actually easily store the entire volume of data for the mission life so far without having to worry about, you know, the size bloating to an unmanageable amount. >>And we can also seamlessly query, uh, large chunks of data. Like if I need to see, you know, for example, as an operator, I might wanna see how my, uh, battery state of charge is evolving over the course of the year. I can have a plot and an influx that loads that in a fraction of a second for a year's worth of data, because it does, you know, intelligent, um, I can intelligently group the data by, uh, sliding time interval. Uh, so, you know, it's been extremely powerful for us to access the data and, you know, as time has gone on, we've gradually migrated more and more of our operating data into influx. >>You know, let's, let's talk a little bit, uh, uh, but we throw this term around a lot of, you know, data driven, a lot of companies say, oh, yes, we're data driven, but you guys really are. I mean, you' got data at the core, Caleb, what does that, what does that mean to you? >>Yeah, so, you know, I think the, and the clearest example of when I saw this be like totally game changing is what I mentioned before at Astro where our engineer's feedback loop went from, you know, a lot of kind of slow researching, digging into the data to like an instant instantaneous, almost seeing the data, making decisions based on it immediately, rather than having to wait for some processing. And that's something that I've also seen echoed in my current role. Um, but to give another practical example, uh, as I said, we have a huge amount of data that comes down every orbit, and we need to be able to ingest all of that data almost instantaneously and provide it to the operator. And near real time, you know, about a second worth of latency is all that's acceptable for us to react to, to see what is coming down from the spacecraft and building that pipeline is challenging from a software engineering standpoint. >>Um, our primary language is Python, which isn't necessarily that fast. So what we've done is started, you know, in the, in the goal of being data driven is publish metrics on individual, uh, how individual pieces of our data processing pipeline are performing into influx as well. And we do that in production as well as in dev. Uh, so we have kind of a production monitoring, uh, flow. And what that has done is allow us to make intelligent decisions on our software development roadmap, where it makes the most sense for us to, uh, focus our development efforts in terms of improving our software efficiency. Uh, just because we have that visibility into where the real problems are. Um, it's sometimes we've found ourselves before we started doing this kind of chasing rabbits that weren't necessarily the real root cause of issues that we were seeing. Uh, but now, now that we're being a bit more data driven, there we are being much more effective in where we're spending our resources and our time, which is especially critical to us as we scale to, from supporting a couple satellites, to supporting many, many satellites at >>Once. Yeah. Coach. So you reduced those dead ends, maybe Angela, you could talk about what, what sort of data driven means to, to you and your teams? >>I would say that, um, having, uh, real time visibility, uh, to the telemetry data and, and metrics is, is, is crucial for us. We, we need, we need to make sure that the image that we collect with the telescope, uh, have good quality and, um, that they are within the specifications, uh, to meet our science goals. And so if they are not, uh, we want to know that as soon as possible and then, uh, start fixing problems. >>Caleb, what are your sort of event, you know, intervals like? >>So I would say that, you know, as of today on the spacecraft, the event, the, the level of timing that we deal with probably tops out at about, uh, 20 Hertz, 20 measurements per second on, uh, things like our, uh, gyroscopes, but the, you know, I think the, the core point here of the ability to have high precision data is extremely important for these kinds of scientific applications. And I'll give an example, uh, from when I worked at, on the rocket at Astra there, our baseline data rate that we would ingest data during a test is, uh, 500 Hertz. So 500 samples per second. And in some cases we would actually, uh, need to ingest much higher rate data, even up to like 1.5 kilohertz. So, uh, extremely, extremely high precision, uh, data there where timing really matters a lot. And, uh, you know, I can, one of the really powerful things about influx is the fact that it can handle this. >>That's one of the reasons we chose it, uh, because there's times when we're looking at the results of a firing where you're zooming in, you know, I talked earlier about how on my current job, we often zoom out to look, look at a year's worth of data. You're zooming in to where your screen is preoccupied by a tiny fraction of a second. And you need to see same thing as Angela just said, not just the actual telemetry, which is coming in at a high rate, but the events that are coming out of our controllers. So that can be something like, Hey, I opened this valve at exactly this time and that goes, we wanna have that at, you know, micro or even nanosecond precision so that we know, okay, we saw a spike in chamber pressure at, you know, at this exact moment, was that before or after this valve open, those kind of, uh, that kind of visibility is critical in these kind of scientific, uh, applications and absolutely game changing to be able to see that in, uh, near real time and, uh, with a really easy way for engineers to be able to visualize this data themselves without having to wait for, uh, software engineers to go build it for them. >>Can the scientists do self-serve or are you, do you have to design and build all the analytics and, and queries for your >>Scientists? Well, I think that's, that's absolutely from, from my perspective, that's absolutely one of the best things about influx and what I've seen be game changing is that, uh, generally I'd say anyone can learn to use influx. Um, and honestly, most of our users might not even know they're using influx, um, because what this, the interface that we expose to them is Grafana, which is, um, a generic graphing, uh, open source graphing library that is very similar to influx own chronograph. Sure. And what it does is, uh, let it provides this, uh, almost it's a very intuitive UI for building your queries. So you choose a measurement and it shows a dropdown of available measurements. And then you choose a particular, the particular field you wanna look at. And again, that's a dropdown, so it's really easy for our users to discover. And there's kind of point and click options for doing math aggregations. You can even do like perfect kind of predictions all within Grafana, the Grafana user interface, which is really just a wrapper around the APIs and functionality of the influx provides putting >>Data in the hands of those, you know, who have the context of domain experts is, is key. Angela, is it the same situation for you? Is it self serve? >>Yeah, correct. Uh, as I mentioned before, um, we have the astronomers making their own dashboards because they know what exactly what they, they need to, to visualize. Yeah. I mean, it's all about using the right tool for the job. I think, uh, for us, when I joined the company, we weren't using influx DB and we, we were dealing with serious issues of the database growing to an incredible size extremely quickly, and being unable to like even querying short periods of data was taking on the order of seconds, which is just not possible for operations >>Guys. This has been really formative it's, it's pretty exciting to see how the edge is mountaintops, lower orbits to be space is the ultimate edge. Isn't it. I wonder if you could answer two questions to, to wrap here, you know, what comes next for you guys? Uh, and is there something that you're really excited about that, that you're working on Caleb, maybe you could go first and an Angela, you can bring us home. >>Uh, basically what's next for loft. Orbital is more, more satellites, a greater push towards infrastructure and really making, you know, our mission is to make space simple for our customers and for everyone. And we're scaling the company like crazy now, uh, making that happen, it's extremely exciting and extremely exciting time to be in this company and to be in this industry as a whole, because there are so many interesting applications out there. So many cool ways of leveraging space that, uh, people are taking advantage of. And with, uh, companies like SpaceX and the now rapidly lowering cost, cost of launch, it's just a really exciting place to be. And we're launching more satellites. We are scaling up for some constellations and our ground system has to be improved to match. So there's a lot of, uh, improvements that we're working on to really scale up our control software, to be best in class and, uh, make it capable of handling such a large workload. So >>You guys hiring >><laugh>, we are absolutely hiring. So, uh, I would in we're we need, we have PE positions all over the company. So, uh, we need software engineers. We need people who do more aerospace, specific stuff. So, uh, absolutely. I'd encourage anyone to check out the loft orbital website, if there's, if this is at all interesting. >>All right. Angela, bring us home. >>Yeah. So what's next for us is really, uh, getting this, um, telescope working and collecting data. And when that's happen is going to be just, um, the Lu of data coming out of this camera and handling all, uh, that data is going to be really challenging. Uh, yeah. I wanna wanna be here for that. <laugh> I'm looking forward, uh, like for next year we have like an important milestone, which is our, um, commissioning camera, which is a simplified version of the, of the full camera it's going to be on sky. And so yeah, most of the system has to be working by them. >>Nice. All right, guys, you know, with that, we're gonna end it. Thank you so much, really fascinating, and thanks to influx DB for making this possible, really groundbreaking stuff, enabling value creation at the edge, you know, in the cloud and of course, beyond at the space. So really transformational work that you guys are doing. So congratulations and really appreciate the broader community. I can't wait to see what comes next from having this entire ecosystem. Now, in a moment, I'll be back to wrap up. This is Dave ante, and you're watching the cube, the leader in high tech enterprise coverage. >>Welcome Telegraph is a popular open source data collection. Agent Telegraph collects data from hundreds of systems like IOT sensors, cloud deployments, and enterprise applications. It's used by everyone from individual developers and hobbyists to large corporate teams. The Telegraph project has a very welcoming and active open source community. Learn how to get involved by visiting the Telegraph GitHub page, whether you want to contribute code, improve documentation, participate in testing, or just show what you're doing with Telegraph. We'd love to hear what you're building. >>Thanks for watching. Moving the world with influx DB made possible by influx data. I hope you learn some things and are inspired to look deeper into where time series databases might fit into your environment. If you're dealing with large and or fast data volumes, and you wanna scale cost effectively with the highest performance and you're analyzing metrics and data over time times, series databases just might be a great fit for you. Try InfluxDB out. You can start with a free cloud account by clicking on the link and the resources below. Remember all these recordings are gonna be available on demand of the cube.net and influx data.com. So check those out and poke around influx data. They are the folks behind InfluxDB and one of the leaders in the space, we hope you enjoyed the program. This is Dave Valante for the cube. We'll see you soon.

Published Date : May 12 2022

SUMMARY :

case that anyone can relate to and you can build timestamps into Now, the problem with the latter example that I just gave you is that you gotta hunt As I just explained, we have an exciting program for you today, and we're And then we bring it back here Thanks for coming on. What is the story? And, and he basically, you know, from my point of view, he invented modern time series, Yeah, I think we're, I, you know, I always forget the number, but it's something like 230 or 240 people relational database is the one database to rule the world. And then you get the data lake. So And so you get to these applications Isn't good enough when you need real time. It's like having the feature for, you know, you buy a new television, So this is a big part of how we're seeing with people saying, Hey, you know, And so you get the dynamic of, you know, of constantly instrumenting watching the What are you seeing for your, with in, with influx DB, So a lot, you know, Tesla, lucid, motors, Cola, You mentioned, you know, you think of IOT, look at the use cases there, it was proprietary And so the developer, So let's get to the developer real quick, real highlight point here is the data. So to a degree that you are moving your service, So when you bring in kind of old way, new way old way was you know, the best of the open source world. They have faster time to market cuz they're assembling way faster and they get to still is what we like to think of it. I mean systems, uh, uh, systems have consequences when you make changes. But that's where the that's where the, you know, that that Boeing or that airplane building analogy comes in So I'll have to ask you if I'm the customer. Because now I have to make these architectural decisions, as you mentioned, And so that's what you started building. And since I have a PO for you and a big check, yeah. It's not like it's, you know, it's not like it's doing every action that's above, but it's foundational to build What would you say to someone looking to do something in time series on edge? in the build business of building systems that you want 'em to be increasingly intelligent, Brian Gilmore director of IOT and emerging technology that influx day will join me. So you can focus on the Welcome to the show. Sort of, you know, riding along with them is they're successful. Now, you go back since 20 13, 14, even like five years ago that convergence of physical And I think, you know, those, especially in the OT and on the factory floor who weren't able And I think I, OT has been kind of like this thing for OT and, you know, our client libraries and then working hard to make our applications, leveraging that you guys have users in the enterprise users that IOT market mm-hmm <affirmative>, they're excited to be able to adopt and use, you know, to optimize inside the business as compared to just building mm-hmm <affirmative> so how do you support the backwards compatibility of older systems while maintaining open dozens very hard work and a lot of support, um, you know, and so by making those connections and building those ecosystems, What are some of the, um, soundbites you hear from customers when they're successful? machines that go deep into the earth to like drill tunnels for, for, you know, I personally think that's a hot area because I think if you look at AI right all of the things you need to do with that data in stream, um, before it hits your sort of central repository. So you have that whole CEO perspective, but he brought up this notion that You can start to compare asset to asset, and then you can do those things like we talked about, So in this model you have a lot of commercial operations, industrial equipment. And I think, you know, we are, we're building some technology right now. like, you know, either in low earth orbit or you know, all the way sort of on the other side of the universe. I think you bring up a good point there because one of the things that's common in the industry right now, people are talking about, I mean, I think you talked about it, uh, you know, for them just to be able to adopt the platform How do you view view that? Um, you know, and it, it allows the developer to build all of those hooks for not only data creation, There's so much data out there now. that data from point a to point B and you know, to process it correctly so that the end And, and the democratization is the benefit. allow them to just port to us, you know, directly from the applications and the languages Thanks for sharing all, all the complexities and, and IOT that you Well, thank any, any last word you wanna share No, just, I mean, please, you know, if you're, if you're gonna, if you're gonna check out influx TV, You're gonna hear more about that in the next segment, too. the moment that you can look at to kind of see the state of what's going on. And we often point to influx as a solution Tell us about loft Orbi and what you guys do to attack that problem. So that it's almost as simple as, you know, We are kind of groundbreaking in this area and we're serving, you know, a huge variety of customers and I knew, you know, I want to be in the space industry. famous woman scientist, you know, galaxy guru. And we are going to do that for 10 so you probably spent some time thinking about what's out there and then you went out to earn a PhD in astronomy, Um, the dark energy survey So it seems like you both, you know, your organizations are looking at space from two different angles. something the nice thing about InfluxDB is that, you know, it's so easy to deploy. And, you know, I saw them implementing like crazy rocket equation type stuff in influx, and it Um, if you think about the observations we are moving the telescope all the And I, I believe I read that it's gonna be the first of the next Uh, the telescope needs to be, And what are you doing with, compared to the images, but it is still challenging because, uh, you, you have some Okay, Caleb, let's bring you back in and can tell us more about the, you got these dishwasher and we're working on a bunch more that are, you know, a variety of sizes from shoebox sites, either in Antarctica or, you know, in the north pole region. Talk more about how you use influx DB to make sense of this data through all this tech that you're launching of data for the mission life so far without having to worry about, you know, the size bloating to an Like if I need to see, you know, for example, as an operator, I might wanna see how my, You know, let's, let's talk a little bit, uh, uh, but we throw this term around a lot of, you know, data driven, And near real time, you know, about a second worth of latency is all that's acceptable for us to react you know, in the, in the goal of being data driven is publish metrics on individual, So you reduced those dead ends, maybe Angela, you could talk about what, what sort of data driven means And so if they are not, So I would say that, you know, as of today on the spacecraft, the event, so that we know, okay, we saw a spike in chamber pressure at, you know, at this exact moment, the particular field you wanna look at. Data in the hands of those, you know, who have the context of domain experts is, issues of the database growing to an incredible size extremely quickly, and being two questions to, to wrap here, you know, what comes next for you guys? a greater push towards infrastructure and really making, you know, So, uh, we need software engineers. Angela, bring us home. And so yeah, most of the system has to be working by them. at the edge, you know, in the cloud and of course, beyond at the space. involved by visiting the Telegraph GitHub page, whether you want to contribute code, and one of the leaders in the space, we hope you enjoyed the program.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Brian GilmorePERSON

0.99+

JohnPERSON

0.99+

AngelaPERSON

0.99+

EvanPERSON

0.99+

2015DATE

0.99+

SpaceXORGANIZATION

0.99+

2016DATE

0.99+

Dave ValantePERSON

0.99+

AntarcticaLOCATION

0.99+

BoeingORGANIZATION

0.99+

CalebPERSON

0.99+

10 yearsQUANTITY

0.99+

ChileLOCATION

0.99+

BrianPERSON

0.99+

AmazonORGANIZATION

0.99+

Evan KaplanPERSON

0.99+

Aaron SeleyPERSON

0.99+

Angelo FasiPERSON

0.99+

2013DATE

0.99+

PaulPERSON

0.99+

TeslaORGANIZATION

0.99+

2018DATE

0.99+

IBMORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

two questionsQUANTITY

0.99+

Caleb McLaughlinPERSON

0.99+

40 moonsQUANTITY

0.99+

two systemsQUANTITY

0.99+

twoQUANTITY

0.99+

AngeloPERSON

0.99+

230QUANTITY

0.99+

300 tonsQUANTITY

0.99+

threeQUANTITY

0.99+

500 HertzQUANTITY

0.99+

3.2 gigQUANTITY

0.99+

15 terabytesQUANTITY

0.99+

eight meterQUANTITY

0.99+

two practitionersQUANTITY

0.99+

20 HertzQUANTITY

0.99+

25 yearsQUANTITY

0.99+

TodayDATE

0.99+

Palo AltoLOCATION

0.99+

PythonTITLE

0.99+

OracleORGANIZATION

0.99+

Paul dicksPERSON

0.99+

FirstQUANTITY

0.99+

iPhonesCOMMERCIAL_ITEM

0.99+

firstQUANTITY

0.99+

earthLOCATION

0.99+

240 peopleQUANTITY

0.99+

three daysQUANTITY

0.99+

appleORGANIZATION

0.99+

AWSORGANIZATION

0.99+

HBIORGANIZATION

0.99+

Dave LANPERSON

0.99+

todayDATE

0.99+

each imageQUANTITY

0.99+

next yearDATE

0.99+

cube.netOTHER

0.99+

InfluxDBTITLE

0.99+

oneQUANTITY

0.98+

1000 pointsQUANTITY

0.98+