(lively music) >> Good afternoon cloud community and welcome back to beautiful Las Vegas, Nevada. We are here at AWS re:Invent, day four of our wall to wall coverage. It is day four in the afternoon and we are holding strong. I'm Savannah Peterson, joined by my fabulous co-host Paul Gillen. Paul, how you doing? >> I'm doing well, fine Savannah. You? >> You look great. >> We're in the home stretch here. >> Yeah, (laughs) we are. >> You still look fresh as a daisy. I don't know how you do it. >> (laughs) You're too kind. You're too kind, but I'm vain enough to take that compliment. I'm very excited about the conversation that we're going to have up next. We get to get a little DevRel and we got a little swagger on the stage. Welcome, Austin. How you doing? >> Hey, great to be here. Thanks for having me. >> Savannah: Yeah, it's our pleasure. How's the show been for you so far? >> Busy, exciting. Feels a lot like, you know it used to be right? >> Yeah, I know. A little reminiscent of the before times. >> Well, before times. >> Before we dig into the technical stuff, you're the most intriguingly dressed person we've had on the show this week. >> Austin: I feel extremely underdressed. >> Well, and we were talking about developer fancy. Talk to me a little bit about your approach to fashion. Wasn't expecting to lead with this, but I like this but I like this actually. >> No, it's actually good with my PR. You're going to love it. My approach, here's the thing, I give free advice all the time about developer relations, about things that work, have worked, and don't work in community and all that stuff. I love talking about that. Someone came up to me and said, "Where do you get your fashion tips from? What's the secret Discord server that I need to go on?" I'm like, "I will never tell." >> Oh, okay. >> This is an actual trait secret. >> Top secret. Wow! Talk about. >> If someone else starts wearing the hat, then everyone's going to be like, "There's so many white guys." Look, I'm a white guy with a beard that works in technology. >> Savannah: I've never met one of those. >> Exactly, there's none of them at all. So, you have to do something to kind stand out from the crowd a little bit. >> I love it, and it's a talk trigger. We're talking about it now. Production team loved it. It's fantastic. >> It's great. >> So your DevRel for Lightstep, in case the audience isn't familiar tell us about Lightstep. >> So Lightstep is a cloud native observability platform built at planet scale, and it powers observability at some places you've heard of like Spotify, GitHub, right? We're designed to really help developers that are working in the cloud with Kubernetes, with these huge distributed systems, understand application performance and being able to find problems, fix problems. We're also part of the ServiceNow family and as we all know ServiceNow is on a mission to help the world of work work better by powering digital transformation around IT and customer experiences for their many, many, many global 2000 customers. We love them very much. >> You know, it's a big love fest here. A lot of people have talked about the collaboration, so many companies working together. You mentioned unified observability. What is unified observability? >> So if you think about a tradition, or if you've heard about this traditional idea of observability where you have three pillars, right? You have metrics, and you have logs, and you have traces. All those three things are different data sources. They're picked up by different tools. They're analyzed by different people for different purposes. What we believe and what we're working to accomplish right now is to take all that and if you think those pillars, flip 'em on their side and think of them as streams of data. If we can take those streams and integrate them together and let you treat traces and metrics and logs not as these kind of inviolate experiences where you're kind of paging between things and going between tab A to tab B to tab C, and give you a standard way to query this, a standard way to display this, and letting you kind of find the most relevant data, then it really unlocks a lot of power for like developers and SREs to spend less time like managing tools. You know, figuring out where to build their query or what dashboard to check, more just being able to like kind of ask a question, get an answer. When you have an incident or an outage that's the most important thing, right? How quickly can you get those answers that you need so that you can restore system health? >> You don't want to be looking in multiple spots to figure out what's going on. >> Absolutely. I mean, some people hear unified observability and they go to like tool consolidation, right? That's something I hear from a lot of our users and a lot of people in re:Invent. I'll talk to SREs, they're like, "Yeah, we've got like six or seven different metrics products alone, just on services that they cover." It is important to kind of consolidate that but we're really taking it a step lower. We're looking at the data layer and trying to say, "Okay, if the data is all consistent and vendor neutral then that gives you flexibility not only from a tool consolidation perspective but also you know, a consistency, reliability. You could have a single way to deploy your observability out regardless of what cloud you're on, regardless if you're using Kubernetes or Fargate or whatever else. or even just Bare Metal or EC2 Bare Metal, right? There's been so much historically in this space. There's been a lot of silos and we think that unify diversability means that we kind of break down those silos, right? The way that we're doing it primarily is through a project called OpenTelemetry which you might have heard of. You want to talk about that in a minute? . >> Savannah: Yeah, let's talk about it right now. Why don't you tell us about it? Keep going, you're great. You're on a roll. >> I am. >> Savannah: We'll just hang out over here. >> It's day four. I'm going to ask the questions and answer the questions. (Savannah laughs) >> Yes, you're right. >> I do yeah. >> Open Tele- >> OpenTelemetry . >> Explain what OpenTelemetry is first. >> OpenTelemetry is a CNCF project, Cloud Native Computing Foundation. The goal is to make telemetry data, high quality telemetry data, a builtin feature of cloud native software right? So right now if you wanted to get logging data out, depending on your application stack, depending on your application run time, depending on language, depending on your deployment environment. You might have a lot... You have to make a lot of choices, right? About like, what am I going to use? >> Savannah: So many different choices, and the players are changing all the time. >> Exactly, and a lot of times what people will do is they'll go and they'll say like, "We have to use this commercial solution because they have a proprietary agent that can do a lot of this for us." You know? And if you look at all those proprietary agents, what you find very quickly is it's very commodified right? There's no real difference in what they're doing at a code level and what's stopped the industry from really adopting a standard way to create this logs and metrics and traces, is simply just the fact that there was no standard. And so, OpenTelemetry is that standard, right? We've got dozens of companies many of them like very, many of them here right? Competitors all the same, working together to build this open standard and implementation of telemetry data for cloud native software and really any software right? Like we support over 12 languages. We support Kubernetes, Amazon. AWS is a huge contributor actually and we're doing some really exciting stuff with them on their Amazon distribution of OpenTelemetry. So it's been extremely interesting to see it over the past like couple years go from like, "Hey, here's this like new thing that we're doing over here," to really it's a generalized acceptance that this is the way of the future. This is what we should have been doing all along. >> Yeah. >> My opinion is there is a perception out there that observability is kind of a commodity now that all the players have the same set of tools, same set of 15 or 17 or whatever tools, and that there's very little distinction in functionality. Would you agree with that? >> I don't know if I would characterize it that way entirely. I do think that there's a lot of duplicated effort that happens and part of the reason is because of this telemetry data problem, right? Because you have to wind up... You know, there's this idea of table stakes monitoring that we talk about right? Table stakes monitoring is the stuff that you're having to do every single day to kind of make sure your system is healthy to be able to... When there's an alert, gets triggered, to see why it got triggered and to go fix it, right? Because everyone has the kind of work on that table stake stuff and then build all these integrations, there's very little time for innovation on top of that right? Because you're spending all your time just like working on keeping up with technology. >> Savannah: Doing the boring stuff to make sure the wheels don't fall off, basically. >> Austin: Right? What I think the real advantage of OpenTelemetry is that it really, from like a vendor perspective, like it unblocks us from having to kind of do all this repetitive commodified work. It lets us help move that out to the community level so that... Instead of having to kind of build, your Kubernetes integration for example, you can just have like, "Hey, OpenTelemetry is integrated into Kubernetes and you just have this data now." If you are a commercial product, or if you're even someone that's interested in fixing a, scratching a particular itch about observability. It's like, "I have this specific way that I'm doing Kubernetes and I need something to help me really analyze that data. Well, I've got the data now I can just go create a project. I can create an analysis tool." I think that's what you'll see over time as OpenTelemetry promulgates out into the ecosystem is more people building interesting analysis features, people using things like machine learning to analyze this large amount, large and consistent amount of OpenTelemetry data. It's going to be a big shakeup I think, but it has the potential to really unlock a lot of value for our customers. >> Well, so you're, you're a developer relations guy. What are developers asking for right now out of their observability platforms? >> Austin: That's a great question. I think there's two things. The first is that they want it to just work. It's actually the biggest thing, right? There's so many kind of... This goes back to the tool proliferation, right? People have too much data in too many different places, and getting that data out can still be really challenging. And so, the biggest thing they want is just like, "I want something that I can... I want a lot of these questions I have to ask, answered already and OpenTelemetry is going towards it." Keep in mind it's the project's only three years old, so we obviously have room to grow but there are people running it in production and it works really well for them but there's more that we can do. The second thing is, and this isn't what really is interesting to me, is it's less what they're asking for and more what they're not asking for. Because a lot of the stuff that you see people, saying around, "Oh, we need this like very specific sort of lower level telemetry data, or we need this kind of universal thing." People really just want to be able to get questions or get questions answered, right? They want tools that kind of have these workflows where you don't have to be an expert because a lot of times this tooling gets locked behind sort of is gate kept almost in a organization where there are teams that's like, "We're responsible for this and we're going to set it up and manage it for you, and we won't let you do things outside of it because that would mess up- >> Savannah: Here's your sandbox and- >> Right, this is your sandbox you can play in and a lot of times that's really useful and very tuned for the problems that you saw yesterday, but people are looking at like what are the problems I'm going to get tomorrow? We're deploying more rapidly. We have more and more intentional change happening in the system. Like it's not enough to have this reactive sort of approach where our SRE teams are kind of like or this observability team is building a platform for us. Developers want to be able to get in and have these kind of guided workflows really that say like, "Hey, here's where you're starting at. Let's get you to an answer. Let's help you find the needle in the haystack as it were, without you having to become a master of six different or seven different tools." >> Savannah: Right, and it shouldn't be that complicated. >> It shouldn't be. I mean we've certainly... We've been working on this problem for many years now, starting with a lot of our team that started at Google and helped build Google's planet scale monitoring systems. So we have a lot of experience in the field. It's actually one... An interesting story that our founder or now general manager tells BHS, Ben Sigelman, and he told me this story once and it's like... He had built this really cool thing called Dapper that was a tracing system at Google, and people weren't using it. Because they were like, "This is really cool, but I don't know how to... but it's not relevant to me." And he's like, the one thing that we did to get to increase usage 20 times over was we just put a link. So we went to the place that people were already looking for that data and we added a link that says, "Hey, go over here and look at this." It's those simple connections being able to kind of draw people from like point A to point B, take them from familiar workflows into unfamiliar ones. You know, that's how we think about these problems right? How is this becoming a daily part of someone's usage? How is this helping them solve problems faster and really improve their their life? >> Savannah: Yeah, exactly. It comes down to quality of life. >> Warner made the case this morning that computer architecture should be inherently event-driven and that we are moving toward a world where the person matters less than what the software does, right? The software is triggering events. Does this complicate observability or simplify it? >> Austin: I think that at the end of the day, it's about getting the... Observability to me in a lot of ways is about modeling your system, right? It's about you as a developer being able to say this is what I expect the system to do and I don't think the actual application architecture really matters that much, right? Because it's about you. You are building a system, right? It can be event driven, can be support request response, can be whatever it is. You have to be able to say, "This is what I expect to... For these given inputs, this is the expected output." Now maybe there's a lot of stuff that happens in the middle that you don't really care about. And then, I talk to people here and everyone's talking about serverless right? Everyone... You can see there's obviously some amazing statistics about how many people are using Lambda, and it's very exciting. There's a lot of stuff that you shouldn't have to care about as a developer, but you should care about those inputs and outputs. You will need to have that kind of intermediate information and understand like, what was the exact path that I took through this invented system? What was the actual resources that were being used? Because even if you trust that all this magic behind the scenes is just going to work forever, sometimes it's still really useful to have that sort of lower level abstraction, to say like, "Well, this is what actually happened so that I can figure out when I deployed a new change, did I make performance better or worse?" Or being able to kind of segregate your data out and say like... Doing AB testing, right? Doing canary releases, doing all of these things that you hear about as best practices or well architected applications. Observability is at the core of all that. You need observability to kind of do any of, ask any of those higher level interesting questions. >> Savannah: We are here at ReInvent. Tell us a little bit more about the partnership with AWS. >> So I would have to actually probably refer you to someone at Service Now on that. I know that we are a partner. We collaborate with them on various things. But really at Lightstep, we're very focused on kind of the open source part of this. So we work with AWS through the OpenTelemetry project, on things like the AWS distribution for OpenTelemetry which is really... It's OpenTelemetry, again is really designed to be like a neutral standard but we know that there are going to be integrators and implementers that need to package up and bundle it in a certain way to make it easy for their end users to consume it. So that's what Amazon has done with ADOT which is the shortening for it. So it's available in several different ways. You can use it as like an SDK and drop it into your application. There's Lambda layers. If you want to get Lambda observability, you just add this extension in and then suddenly you're getting OpenTelemetry data on the other side. So it's really cool. It's been a really exciting to kind of work with people on the AWS side over the past several years. >> Savannah: It's exciting, >> I've personally seen just a lot of change. I was talking to a PM earlier this week... It's like, "Hey, two years ago I came and talked to you about OpenTelemetry and here we are today. You're still talking about OpenTelemetry." And they're like, "What changes?" Our customers have started coming to us asking for OpenTelemetry and we see the same thing now. >> Savannah: Timing is right. >> Timing is right, but we see the same thing... Even talking to ServiceNow customers who are... These very big enterprises, banks, finance, healthcare, whatever, telcos, it used to be... You'd have to go to them and say like, "Let me tell you about distributed tracing. Let me tell you about OpenTelemetry. Let me tell you about observability." Now they're coming in and saying, "Yeah, so we're standard." If you think about Kubernetes and how Kubernetes, a lot of enterprises have spent the past five-six years standardizing, and Kubernetes is a way to deploy applications or manage containerized applications. They're doing the same journey now with OpenTelemetry where they're saying, "This is what we're betting on and we want partners we want people to help us go along that way." >> I love it, and they work hand in hand in all CNCF projects as well that you're talking about. >> Austin: Right, so we're integrated into Kubernetes. You can find OpenTelemetry and things like kept in which is application standards. And over time, it'll just like promulgate out from there. So it's really exciting times. >> A bunch of CNCF projects in this area right? Prometheus. >> Prometheus, yeah. Yeah, so we inter-operate with Prometheus as well. So if you have Prometheus metrics, then OpenTelemetry can read those. It's a... OpenTelemetry metrics are like a super set of Prometheus. We've been working with the Prometheus community for quite a while to make sure that there's really good compatibility because so many people use Prometheus you know? >> Yeah. All right, so last question. New tradition for us here on theCUBE. We're looking for your 32nd hot take, Instagram reel, biggest theme, biggest buzz for those not here on the show floor. >> Oh gosh. >> Savannah: It could be for you too. It could be whatever for... >> I think the two things that are really striking to me is one serverless. Like I see... I thought people were talking about servers a lot and they were talking about it more than ever. Two, I really think it is observability right? Like we've gone from observability being kind of a niche. >> Savannah: Not that you're biased. >> Huh? >> Savannah: Not that you're biased. >> Not that I'm biased. It used to be a niche. I'd have to go niche thing where I would go and explain what this is to people and nowpeople are coming up. It's like, "Yeah, yeah, we're using OpenTelemetry." It's very cool. I've been involved with OpenTelemetry since the jump, since it was started really. It's been very exciting to see and gratifying to see like how much adoption we've gotten even in a short amount of time. >> Yeah, absolutely. It's a pretty... Yeah, it's been a lot. That was great. Perfect soundbite for us. >> Austin: Thanks, I love soundbites. >> Savannah: Yeah. Awesome. We love your hat and your soundbites equally. Thank you so much for being on the show with us today. >> Thank you for having me. >> Savannah: Hey, anytime, anytime. Will we see you in Amsterdam, speaking of KubeCon? Awesome, we'll be there. >> There's some real exciting OpenTelemetry stuff coming up for KubeCon. >> Well, we'll have to get you back on theCUBE. (talking simultaneously) Love that for us. Thank you all for tuning in two hour wall to wall coverage here, day four at AWS re:Invent in fabulous Las Vegas, Nevada, with Paul Gillin. I'm Savannah Peterson and you're watching theCUBE, the leader in high tech coverage. (lively music)

>> Announcer: Live from Copenhagen Denmark, it's theCUBE covering Kubecon and CloudnativeCon Europe 2018. Brought to you by the Cloud Native Computing Foundation and its ecosystem partners. >> Welcome back everyone, live here at Copenhagen, Denmark, Cube's coverage of Kubecon 2018 in Europe, this is all about the Kubernetes the future of cloud native, CloudNativeCon part of the CNCF Cloud Native Foundation, I'm John Furrier and my co-host Lauren Cooney, founder of Spark Labs industry expert of open source. So, we have two end user customers of Kubernetes and Cloud Native, Zach Arnold, software engineer Ygenre energy fund, and Austin Adams software development manager, same company. You guys are doing really interesting business model around energy and equity in buildings and homes, but you're writing code, so you have to make all this stuff work, so I'm sure you're cloud native, why have a data center when you can have the cloud >> Austin : We were born in the cloud. >> You were born in the cloud. So take us through, explain the business real quick, and then what's your back end, technical scaling situation look like in terms of infrastructure, software and what's the make up of the systems. >> Zach: You know the business best. >> Yeah, so Ygrene operates under something called PACE, property assess clean energy. We operate in a couple of different states. We work with local governments to create a PACE program that is accepted in different counties or jurisdictions within the state, and then we allow homeowners and contracting companies to provide financing for home improvements that are specifically within the domain of renewable energy or energy efficiency. >> So, you basically finance a solar panel that I put on my house or building if there's benefits there, and then you guys get the financing and you tie in with the government so the property taxes, the leverage the security is the building right, or the asset. >> Yeah, and the way that we're chartered is basically we can put a tax on the property which gives us some guarantees on repayment and things like that, and it's a great model so far. >> It's a new financial engineering around energy efficiancy so you've got to build systems, so you're working with government, so now we all know how government systems work, so you've got to be agile and nimble. Take us through how the back end works, what's it look like, what's the system look like, you're hosted in the cloud, is it Amazon, Google? >> So everything that we have is in a cloud provider that starts with an A, and ends with an S, it's AWS I don't know if I can say that, I think I can say that, AWS all the way-- >> Yes, it's good. >> And we have tons of services, we have Kubernetes running most of our main services. Within our migration we actually started with our main service. A lot of people start with, you know, their smallest microservice, we just went whole-hog and just went in for it, so they system is mainly a lone-management system. Underwriting data aggregation and underwriting processing, so every application that comes in we have to underwrite it and make sure every little thing checks out, and our underwriting system has won awards for how accurate it is and how high quality it is as well. >> So, I'm doing a mental white board in my mind, just kind of graphing this so just help me out here and take us through this. So, you guys are a cutting edge company, new progressive business model, real innovative, great stuff. Cloud native, so you're born in the cloud no data center, cool, check, it's what everyone does, and now you're like okay, now I've got to deal with these legacy systems. So, you're putting containers around things, so you have to interface, you build your own system so that's cool, but you're dealing with other systems and then how are you handling that, you are just containerizing it, so take us through some of those linkages. >> Yeah, so where we're creating, a lot of times when we have to integrate with another system, we'll create a small service that is code that we own, and we'll reach out to those integrations, those vendors and we'll do aggregation within our system and provide an interface back to our systems. You know, like everyone, we're breaking up the monolith or whatever, maybe in 10 years we'll go back to a monolith, who knows but you know we're slicing out things, making microservices, it looks like a mess on the back end, just tons of microservices going everywhere and that's why we're using all these Cloud Native tools to be able to manage that. So, in order to move quickly, we're wanting to containerize everything, everything runs in a container at this point. >> Lauren: Great. >> A lot of our services follow this kind of we're kind of calling the container adaptor pattern, it follows the software adaptor pattern where, just like Austin was saying, let's say for example we're interfacing with a credit vendor, we create a service where we talk to our own service that has a well defined interface that we know will always get a credit report back with the following fields, but then where that information actually comes from, whether it's one of the big three credit vendors or someone else who has a well defined API, that's largely not the concern of the main loan management system, it's the concern of the microservice that's responsible for reaching out to that other entity there. So, that's how we've kind of gotten to beat around the legacy interfacing of all these other different financial services and tools that help to aggregate data.. >> It's super clever you can optimize on a service basis but now you have to orchestrate and kind of conduct everything through-- >> And keep everything secure. >> That's really interesting, I mean I think what I'm looking at here is a huge ecosystem of partners and companies and end users coming together and one of the questions, beyond why you are here, what are you looking at here, what is interesting to you, what do you want to learn about that you might bring into your, you know, architecture essentially? >> Austin and I were talking about this, we kind of tend to look at the CNCF list of projects as a dinner menu. (laughs) >> We're refreshing that page frequently, because we're adding projects at an alarming rate, but one project we're using FluentD, Notary, Kubernetes, of course, Prometheus, things like that, we want to start using those things more extensively. One's that we're really excited about are Spire and Spiffy, the identity, kind of a new take, not necessarily new but new for cloud native take on identity of services and authentication, as well as the open policy agent to provide a single DSL to do all of your policy and authorization-- >> Lauren: That's a lot of work, load and management and identity correct? >> Yeah, yes. >> Authorization and authentication are two of the most important things that happen in our system and we have so many different ways that it happens right now, it can tend to look a little clogy, just from the sense of the fact that we need a little more coordination or standardization around it, I mean we have well written policies that are documented but the way that those actually get enforced are, it's individualized based on the service, you know, if it's a cloud based policy, then it's AWS IAM, if it's Kubernetes based policy it's RBAC using Kubernetes RBAC, so it kind of looks like if we can abstact a lot of that functionality out of the services, the containers, the orchestration tool or the cloud, to making those decisions, that would really, really simplify things for us. >> So, you guys are end users, so are you part of like an end user group that gives feedback directly into the community or how does that work, and do you contribute to that? >> Yes, so we're on the fringes of the contributor community as well, and we're definitely on GitHub on all these projects posting issues and in some cases providing our own PR's or whatever. None of us are within the Kubernetes orb but that's definitely something we all are achieving or aspiring to be is jumping into some of these projects, especially some of the smaller projects that we're using on a daily basis on our build servers like, Portheurs or Notary, some of those things we're actively contributing to those. >> So, you've traded on mastery of product but being active on the project is the key, the balance there. >> Yeah, I mean typically what you find in the fiance industry is when they go for a solution, they lead with their wallet as for what we can purchase, or what we can sponsor, but Ygrene has been, our managers and management have been incredibly empowering this way, they say well what can we give, we lead with our hands. >> Yeah, and this is interesting, if you have a good business model innovation, which you guys have, you can be a completely clean sheet of paper to build it. >> Right >> So, that's the best thing about the cloud. You can really move fast and go from, you know, point A to point B, move the needle. >> Yeah, with it at the same time there's kind of a clean slate, there's even a clean slate in terms of best practices within our industry. Now if we were in mortgage, there's a lot of rules, there's a lot of clear guidelines on how to do security and auditing and things that you need, where in our industry that's all emerging, so we have a chance to also set the pace, set the tone for what security might look like, or what cloud usage might look like within the PACE industry. But at the same time, we're getting increasing government regulations, so we're having to make these decisions around, what are the tools that are going help us achieve maximum customer protection and audit-ability while maintaining our business model without totally-- >> And you're going to need flexibility because you don't know what's going to come next you've got to be ready for anything, and that is what leads to my next question, two points, how do you guys prepare for what's next, what's the main ethos around, technical architecture around being prepared for that, ready state that's coming to you, and then two, what have you learned over the, what's the scar tissue look like, what's the moments of joy and despair going on because you're reiterating, your learning, you're always constantly getting knocked down, standing back up. so this is what innovation is, it can be fun and also grueling at the same time. >> Yeah, so how we deal with what's new beyond our like software process, we have a well-defined process that everything gets churned into. Government is really good about giving us notice about when stuff's going into effect, so we always have target dates that we're going toward. But, in terms of what's next in terms of our software, we have this interesting culture within our organization, everyone wants to improve everything, I think it's called a Kaizen culture, just people are looking at stuff they want to improve it, and so our process allows for anyone to throw something on the backlog. It will get prioritized and put around, but we're allowing all of our engineers to say, hey we want to do this, and you know, putting it into an open forum where, you know, we might not do it but we have the discussion, and we have all the channels to have those discussions and, like most technology companies or technology focused companies, we spend a lot of time talking about technologies, and making those decisions. >> You guys really have the cultural ethos but the people to bate and then commit. >> And that's one of my, you know, recommendations for any company trying to move to cloud native or Kubernetes is, always, you have to have your evangelists, on your team, because you can't expect people who have been doing it one way forever to instantly be onboard. You need some sort of technical evangelist whether that's outside company, it works best, I think, if it's someone you've hired, or someone in your organization who's preaching the gospel of Kubernetes or cloud native. >> Spark Labs, Lauren's company's doing a lot of that work, but that really nails it, I mean, you got to just, it's not a technical issue, per se-- >> Exactly. >> We're hearing that all through the show here. What's on your wish list, what is the holiday's want to bring for you? If you could throw your wish list out there, and you can, a magic wand, crystal ball >> EKS, if Amazon would respond to our request. >> Okay, we just had AG on yesterday, he said it's coming >> It's coming. >> He said, months, >> Did he say months, I thought it was a few months, So maybe >> We'll check the transcripts. >> Alright >> Yeah, it wasn't tomorrow. >> That's alright. >> And that's one of our, that's our scar tissue right? We're doing this ourself, you know, there's this huge control board and we got people, you know, doing the knobs and things and we're relatively small, you know, we're a small engineering organization so we're doing a lot of this ourselves where we can abstract a lot of that work out to a cloud provider that we are already on. >> Well it's going to be good reps for you guys as this thing gets abstracted away, you're going to have a great core competencies in Kubernetes, I think that is a notable thing there. >> Austin: For sure. >> One of the things on my wish list, I was speaking to Jace and Josh Burkus and a lot of the core contributors in Kubernetes at the Contributors Summit, I kind of realized that I would love to see a coordinated cross cutting after, either on part of the CNCF or on part of The Kubernetes Project proper, to have a proactive security, I wouldn't call it a working group, I guess a SIG, a Special Interest Group. It would be, I know that we can deal with zero day issues really, really quickly. For example, the Azure host path mapping issue that was a few months ago, but right now it's kind of on the responsibility of each SIG to implement whatever security looks like to them individually, which is great, it means there are people thinking about security, that makes me sleep better at night. But, seeing some coordination around that and kind of driving towards, okay we have this tool that seems to be changing the game, how are we going to change the game with security? Like is there a way to look at that and even, 'cause authentication and authorization have been around since more than one user used a terminal in the 1960's and 70's. But, even with this new step of admission controllers, where we have more fine grain control around how stuff gets into the cluster. I think it would be great to look at what a coordinated cloud native security effort would look like. >> I think that's great, I mean we've been talking to a lot of vendors here and a lot of folks that have projects, and we bring security every single time and they kind of have an answer, but they really don't. >> They body swerve you, we've got this we've got that. >> Or you're the developer and you have to build it in yourself, so I totally agree with that recommendation I think it's fabulous. >> Yeah, Kubernetes is making so many things simpler at certain levels. Now, if we can focus those efforts at making security simple for people, because they're security experts, they can put their two cents in >> Lauren: Let's build it in and not block it on. >> Build it in and not expect every developer to know. >> Zach: Don't bolt it on, build it in. >> Build it from the beginning, there are all kinds of new ways. The fact there is no perimeter with the cloud brings up, really kind of throws everyone for a loop because you have to go to the chipset down, I mean what Google got, I think is a very interesting approach, they're trying to push forward this multilayer approach from chip to kernel to OS to app, interesting. They've got, managing through all their security, they've got android, I mean spear phishing is a huge problem right now, we're seeing and a lot of enterprises we talk to are like, well, it's like the firewalls and VPN's like that's old school, they need to modernize that so this is going to get them thinking about that. So great, hey guys, thank you for coming on and sharing your feedback-- >> Thank you. >> And your data and your place and how you are architected on AWS and your work with Kubernetes. Congratulations. >> Thank you. >> Cube coverage here in Copenhagen. It's theCUBE's coverage at Kubecon 2018. We'll be back with more after this short break.

>> Narrator: Live from Las Vegas, it's theCUBE, covering Oracle Modern Customer Experience 2017, brought to you by Oracle. (bright, lively music) >> Hello and welcome back to a CUBE coverage of Oracle's Modern Customer Conference here at the Mandalay Bay in Las Vegas. I'm John Furrier with SiliconANGLE, theCUBE, with my co-host this week, Peter Burris, head of research at Wikibon.com, part of SiliconANGLE Media, and our next guest is Austin Miller, Product Marketing Director for Oracle Marketing Cloud. Welcome to theCUBE conversation. >> Thank you very much for having me. >> This coveted post-launch spot. >> Yeah, we have a lunch coma kicking in, but no, seriously, you have a really tough job because you're seeing the growth of the Platform Play, right, really robust horizontal platform, but how you got here through some really smart acquisitions but handled well, and integrated, we covered that last year. You guys are seeing some nice tailwinds with some momentum certainly around the expectations of what the customers want. >> Yeah, I think that one of the best things when we start thinking about, to your point, product integration, it's also the way that we are talking to our customers about how they can use the products together. It's not really enough just to have maybe one talk to another, but unless we prove out the use cases, you don't get the utilization, and I think this year what we've really seen is getting those use cases to actually start getting some traction in the field. >> So this integrated marketing idea seems to be the reality that everyone wants. >> Where are we on that progress bar, because this seems to be pretty much unanimous with customers, the question is how to get there, the journey, and the heroes that are going to drive and the theme of the conference. But the reality is this digital transformation is being forced for business change. >> Austin: Absolutely. >> And marketing is part of that digital fabric. >> I think that one of the most interesting things about this is if you look at kind of the history of when did the stacks start becoming actually part of the story, it was at a point where we didn't really necessarily even have the capabilities to do it. As a result many marketers who thought they were maybe buying into a stack approach got a little bit burned. I think now we are actually at that place where that value is not only something that they can see inherently and say "oh, I'd like all these applications to talk together," but it's actually feasible, it's something that they're going to be able to use, and they can be optimistic about, frankly. >> Where are they getting burned, you mentioned that, from buying into a full stack of software for a point solution, is that kind of what you meant? >> No, I think that in the marketing realm, when you're talking to marketers, it is very easy to think about all the horrible things that they have to deal with on a daily basis, all these problems. And the reality is that oftentimes you've had to have this conversation with them that says, you know, there are not going to be easy answers to hard problems. There are usually hard answers to hard problems. We can help alleviate some of that friction, especially when we start talking about data silos or things about interoperability, so being able to not just have integration, but pre-built function within these particular platforms, but realistically, it just wasn't something that we necessarily in the market in general were able to deliver on until somewhat recently. >> So, I am very happy that I heard you use the word "use cases," especially at a launch, because that's been one of the biggest challenges of both marketing technology when we think about big data, there's been such a focus on the technology, getting the technology right, and then the use cases and how it changed the way the business or the function did things, kind of either did or didn't happen. Talk about how a focus in use case is actually getting people to emphasize the outcomes, and how Oracle is helping people then turn that into technology decisions. >> This may sound almost counterintuitive, but in reality the way that use cases we see helping us the most is that it really helps spur about the organizational changes that we need in order to actually have some of this happen, 'cause it's very easy to say, "we have all this technology marketer and you should be using it all," but if you don't actually prove it out and how that's going to impact let's say the way that they're creating their marketing messages, on even a kind of not exciting basis, like how are you creating your emails, how are you creating your mobile messaging, how are you doing your website, and then start talking about those in actual use cases, it's very hard for people to organize their organizations around this kind of transformation. They need something tangible to hold onto. >> And the old way with putting things in buckets, >> Austin: Exactly. >> Right, so so hey we got one covered, move on to the next one ... >> Peter: Or by channels even. We got an email solution, or we got a web solution and as the customer moves amongst these different mechanisms, or engages differently with these mechanisms, the data then becomes, we've talked a lot about this, becomes the integration point, and that as you said affects a significant change on how folks think about organizing, but what do you think are going to be some of the big use cases if people are going to be ... you're providing advice and counsel to folks on the 2017. >> Yeah, so I think that talking about marketing-specific use cases is really important, especially when we start thinking about how am I using my first-party data that I may have within a particular channel. And I'm using that to contextually change the way I'm communicating to somebody on another channel. But if we kind of take that theme, and we think about let's not just expand it to marketing but let's really talk about customer experience, because as a customer, I go in-store, I go on email, I go on your mobile app, I don't view those as different things. That's just my experience with your brand. And even as we start getting to maybe some of the service things, am I calling a call center? The way that we're really thinking about marketing is not only bringing all this information across our traditional marketing channels, but how are we helping marketers drive organizational change beyond the traditional bounds of even their own marketing department into service, into sales, into on-store, because in reality that's where kind of the next step is. It's not just about, to your point, promotional emails. It's about how are we bringing this experience across the full spectrum. >> So it's really how is first-person data going to drive the role of marketer differently, the tasks of marketing as a consequence, and therefore how we institutionalize that work. >> Absolutely, and I think that you can see this in the investments that we've made in the ODC, Oracle Data Cloud. It's first step, let's start thinking about how we can start moving around on first-party data, that'll be a nice starting point, but then afterwards, how are we taking third-party data let's say from offline purchases, starting to incorporate that and that store's third-party data, 'cause then we really start getting to that simultaneously good experience or at least consistent experience across digital, across in-store, we start piecing together, but we really need to start at that baseline. >> A lot of people have been talking about the convergence of adtech and martech for years, and we had a CUBE alumni on our CUBE many years ago, when the Big Data movement started to happen, and he was a visionary, revolutionary kind of guy, Jeff Hammerbacher, the founder of Cloudera, who's now doing some pioneering work in New York City around science. He's since left Cloudera. But he said on theCUBE what really bothered him was some of the brightest minds in the industry were working on using data and put an ad in the right place. And he was being kind of critical of, use it for cooler things, but we look at what's happening on martech side, when you have customer experience, that same kind of principle of predictive thinking around how to use an asset can be applied to the customer journey, so now you bring up the question of A.I. If you broaden the scope of adtech and martech to say all things consumer, in any context, at any given time, you got to have an A.I. or machine learning approach to put the right thing at the right place at the right time that benefits the user >> Austin: It's not scalable. That's the reality of it. To you point, if you're going to start thinking about this across all these different channels, including advertising as well, the idea of being able to do these on a one-off basis, from a manual perspective, it's completely untenable, you're completely correct, but to that point, where you're talking about the best minds in the industry maybe dedicated to figuring out, "if I put a little target here, am I going to get somebody to click on that ad one time, or how am I placing it," that is very much the way that we were at the very beginning parts of marketing technology, where it was bash and blast messaging, how can we just kind of get the clicks and the engagement, and how do we send out >> John: spray and pray >> Exactly. And now I think that we are getting to a much more nuanced understanding of the way that we advertise because it's much more reliant on context, it's not just how can I get my stuff in front of somebody's eyeballs, it's how am I placing it when they're actually showing some sort of intention for maybe the products I already have. >> Adaptive intelligence is interesting to me because what that speaks to is, one, being adapted to a real time, not batch, spray and pray and the old methodology of database-driven things, no offense to the main database cache at Oracle, but it's a system of record, but now new systems of data are available, and that seems to be the key message here, that the customer experience is changing, multiple channels, that's omnichannel, there needs to be ... everyone's looking for the silver bullet. They think it's A.I., augmented intelligence or artificial intelligence. How do you see that product roadmap looking, because you're going to need to automate, you're going to need to use software differently to handle literally real time. >> Completely. I think that this is a really important distinction about the way that we view A.I. and how it factors into marketing technology and the way that I think a lot of people in the industry do. I think that once again this theme of there aren't easy answers to hard problems, it is very pleasant to think that I'm just going to have one product that's going to solve everything, from when I should send my next email, to if there's clean water in this particular area in a third-world country, and that's just something that maybe sounds nice, but it's not necessarily something that's actually tangible. The way that we view A.I. is it's something that's going to be embedded and actually built into each of these different functions so that we can do the mission-critical things on the actual practical level, and kind of make it real for marketers, make it something that's isn't just "oh, buy this and it will solve all your problems." >> So I'm going to ask you the question, the old adage, "Use the right tool for the right job, and if you're a hammer everything looks like a nail." A lot of people use email marketing that way, they're using it for notifications when in reality that's not the expectation of the consumer, some are building in a notification engine separate from email. All that stuff's kind of under the covers, in the weeds, but the bigger question to you is, I want to get your insight on this because you're talking to customers all the time, is as customers as you said need to change organizationally, they're essentially operationalizing this modern era of CX, customer experience, so it's a platform-based concept which pretty much everyone agrees on, but we're in the early innings of operationalizing this >> Austin: Oh yeah. >> So how do you see that evolving and what do you want customers to do to be set up properly if they're coming in for the first inning of their journey, or even if they're midstream with legacy stuff? >> I think that that's a really good perspective, because you don't want to necessarily force people to go through excruciating organizational change in preparation if we're in maybe the first inning, but it is really just about setting up the organization to adjust as realistically we get into the middle innings and into the later innings. And really the kind of beginning foundation of this is understanding that these arbitrary almost like tribal distinctions between who owns what channel, who's the email marketer, or who's the mobile person, they need to be broken down, and start thinking about things instead of these promotional blasts to your point, or even maybe reactionary notifications. How is this contributing to the number of times your brand is touching me in a day, or the way that I'm actually communicating, so I think that it's an interesting kind of perspective of how we were organizationally set up for that, but the short answer is that A.I. is going to fundamentally change the way that marketers are operating. It's not going to fundamentally change maybe everything that they're doing or it's not going to be replacing it. It's going to be a complementary role that they need to be ready to adjust to. >> So you are, you're in product, product management. >> Austin: Product marketing >> Product marketing. So you are at that interface between product and marketing, both moving more towards agile. How are you starting to use data differently and how would you advise folks like you in other businesses not selling software that might not have the same digital component today but might have a comparable digital component in the future, what would you tell them to do differently? >> So, I think that the first step is to actually have an honest assessment of what we have and what we don't have. I think that there's a lot of people who like to kind of close their eyes or maybe plug their ears and just sort of continue down the path of least resistance. >> Peter: Give me ... >> Oh, an honest assessment of what kind of data we do have today, what kind of data we might actually need, and then most importantly, is that actually feasible data to get. Because you can't >> you can wish it but you can't get it >> You can wave a magic wand and say these are the numbers that I need on this particular maybe interest level of these particular ... >> John: The fatal flaw is hoping that you're going to get data that you never get, or is ungettable. >> Or, this is really something that I think a lot, would resonate more with marketers is that we have now set up all these different points of interaction that are firehoses of data spraying it at me, I may be able to retroactively look at it and maybe garner some kind of insight, but there's just no real way for me to take that and make it actionable right away. It is a complete mess of data in a lot of these organizations. >> And that's where A.I. comes in. >> Austin: Absolutely. It's able to automate that, reaction ... >> Peter: Triage at a bare minimum. >> Correct >> So the first starts with data. What would be the second thing? >> So it's data, presume that you're going to need help on the triage and organizing that data. Is there a third thing? >> I would say that you're going down the right path with the steps there, but once again, we're all talking about these concepts that do require a great deal of specialization and a lot of actual understanding of the way we're dealing with data. So honest assessment is definitely that first part, but then do I have the actual people that I need in order to actually take action on this? Because it is a specialized kind of role that really hasn't traditionally been within marketing organizations. >> I know you guys have a big account-based, focus-account-based marketing, you know, doing all kinds of things, but I'm a person, I'm not a company, so that's a database saying "hey, what company do you work for?" And all the people who work for that company and their target list. I'm a person. I'm walking around, I've got a wearable, I might be doing a retail transaction, so the persona base seems to be the rage and seems to be the center and we heard from Mark Hurd's keynote, that's obviously his perspective and others as well so it's not like a secret, but how do you take it to the next level? An account base could help there too, but you need to organize around the person, and that seems to open up the identity question of okay, how do I know it's John? >> I think that goes beyond just personal taste, but into what does this person actually do at this company, because I can go in and give a headspinning presentation to maybe a C-level executive and say, "look at all this crazy stuff you can do," and meanwhile the guy who might be making the buying decision at the end of the table's looking at that and being like, "there's no way we can do that, we don't have the personnel to do that, there's no chance," and you have already dissension from the innards of the actual people who are making the buying decisions. The vision can't be so big that it resonates with no one. And you need to understand on a persona level what is actually resonated with them. 'Cause feasibility is a very important thing to our end user, and we need to actually incorporate that into our messaging, so it's not just so pie-in-the-sky visioning. >> I did a piece of research, sorry John, I did a piece of research a number of years ago that looked at the impact of selling mainly to the CIO. And if you sell successfully to the CIO, you can probably guarantee nine months additional time before the sale closes. >> Austin: Yeah. Because the CIO says "this is a great idea," and then everybody in the organization who's now responsible for doing it says "hold on, don't put this in my KPIs while I take a look at it and what it really means and blah blah blah. Don't make me responsible for this stuff." You just added nine months. >> Absolutely. I even have a very minute example for something that we rolled out. This was a great learning opportunity. Because we rolled out a feature called multi-variant testing. It's not important what exactly it is for the purposes of this, but basically it's the idea of you can take one email and eight versions of it, test it, and then send out the best one. Sounds great, right? I'm an executive, I'm like boy, I'm going to get every last ounce of revenue from my emails, I'm only going to send out the best content. If you don't pitch that right, the end user, all they hear is wait, the thing that I do one of, I have to create eight of now? Am I going to get to see my kids ever again? That's just the way you have to adjust ... >> And seven of 'em are going to be thrown away. I'm going to be called a failure. >> Exactly. So it's just not something that you can take for granted because marketers have a variety of different roles and a variety of firm responsibilities. >> And compound that with everything's going digital. >> Exactly. >> So (mumbles) Austin, great to have you on theCUBE. Spend the last minute though, I'd like you just to share for the last minute, what's the most important thing happening here at #ModernCX besides the simplicity of the messaging of modern era of customer expectations, experiences, all that's really awesome, but what should people know about that aren't here, watching. >> I'd just say that the one thing that at least resonates most with me, and this is once again coming from a product and sort of edging on marketing, is that the things that we've been talking about with not only A.I. but even just simple things like having systems that are communicating to each other, they're actually real and we're seeing that as real. You can actually see them working together in products and serving up experiences to customers that we're even doing now as part of the sales process and saying "hey, this is how you would actually do this," as opposed to just "here's our Chinese menu of different options. Pick what you want and then we can just kind of serve it up." Because I think that there's something that's very heartening to maybe marketers who have a little bit of, I don't know, doubt about whether or not this is real. It is real, it's here today, and we're able to execute on it. >> And that's the integration of a multi-product and technology solution. >> I would almost say that it's slightly different from that though, in terms of, it's not just integration of these pieces, it's integration that's pre-built, so we actually have it pre-built together and then we also have these tremendous, new, innovative features and functionality that are coming with those integrations. It's not just portability, it's actual use cases. >> Would you say that it's as real as the data? >> It's as real as the data. I think that that's ... >> If you have the data, then you can do what you need to do. >> That's a very, a very good point. >> Austin Miller, Product Marketing Director at Oracle Marketing Cloud. Thanks for sharing the data here on theCUBE where we're agile, agile marketing is the focus. I'm John Furrier, Peter Burris. More coverage from day one at Mandalay Bay for Oracle Modern Customer Experience show. We'll be right back with more after this short break. (bright, lively music)

(upbeat music) >> Welcome back to Vegas. Lisa Martin and Dave Vellante here with theCUBE live on the Venetian Expo Hall Floor, talking all things AWS re:Invent 2022. This is the first full day of coverage. It is jam-packed here. People are back. They are ready to hear all the new innovations from AWS. Dave, how does it feel to be back yet again in Vegas? >> Yeah, Vegas. I think it's my 10th time in Vegas this year. So, whatever. >> This year alone. You must have a favorite steak restaurant then. >> There are several. The restaurants in Vegas are actually really good. >> You know? >> They are good. >> They used to be terrible. But I'll tell you. My favorite? The place that closed. >> Oh! >> Yeah, closed. In between where we are in the Wynn and the Venetian. Anyway. >> Was it CUT? >> No, I forget what the name was. >> Something else, okay. >> It was like a Greek sort of steak place. Anyway. >> Now, I'm hungry. >> We were at Pure Accelerate a couple years ago. >> Yes, we were. >> When they announced Cloud Block Store. >> That's right. >> Pure was the first- >> In Austin. >> To do that. >> Yup. >> And then they made the acquisition of Portworx which was pretty prescient given that containers have been going through the roof. >> Yeah. >> So I'm sort of excited to have these guys on and talk about that. >> We're going to unpack all of this. We've got one of our alumni back with us, Venkat Ramakrishna, VP of Product, Portworx by Pure Storage. And Dan Kogan joins us for the first time, VP of Product Management and Product Marketing, FlashArray at Pure Storage. Guys, welcome to the program. >> Thank you. >> Hey, guys. >> Dan: Thanks for having us. >> Do you have a favorite steak restaurant in Vegas? Dave said there's a lot of good choices. >> There's a lot of good steak restaurants here. >> I like SDK. >> Yeah, that's a good one. >> That's the good one. >> That's a good one. >> Which one? >> SDK. >> SDK. >> Where's that? >> It's, I think, in Cosmopolitan. >> Ooh. >> Yeah. >> Oh, yeah, yeah, yeah. >> It's pretty good, yeah. >> There's one of the Western too that's pretty. >> I'm an Herbs and Rye guy. Have you ever been there? >> No. >> No. >> Herbs and Rye is off strip, but it's fantastic. It's kind of like a locals joint. >> I have to dig through all of this great stuff today and then check that out. Talk to me. This is our first day, obviously. First main day. I want to get both of your perspectives. Dan, we'll start with you since you're closest to me. How are you finding this year's event so far? Obviously, tons of people. >> Busy. >> Busy, yeah. >> Yeah, it is. It is old times. Bigger, right? Last re:Invent I was at was 2019 right before everything shut down and it's probably half the size of this which is a different trend than I feel like most other tech conferences have gone where they've come back, but a little bit smaller. re:Invent seems to be the IT show. >> It really does. Venkat, are you finding the same? In terms of what you're experiencing so far on day one of the events? >> Yeah, I mean... There's tremendous excitement. Overall, I think it's good to be back. Very good crowd, great turnout, lot of excitement around some of the new offerings we've announced. The booth traffic has been pretty good. And just the quality of the conversations, the customer meetings, have been really good. There's very interesting use cases shaping up and customers really looking to solve real large scale problems. Yeah, it's been a phenomenal first day. >> Venkat, talk a little bit about, and then we'll get to you Dan as well, the relationship that Portworx by Pure Storage has with AWS. Maybe some joint customers. >> Yeah, so we... Definitely, we have been a partner of AWS for quite some time, right? Earlier this year, we signed what is called a strategic investment letter with AWS where we kind of put some joint effort together like to better integrate our products. Plus, kind of get in front of our customers more together and educate them on how going to how they can deploy and build vision critical apps on EKS and EKS anywhere and Outpost. So that partnership has grown a lot over the last year. We have a lot of significant mutual customer wins together both on the public cloud on EKS as well as on EKS anywhere, right? And there are some exciting use cases around Edge and Edge deployments and different levels of Edge as well with EKS anywhere. And there are pretty good wins on the Outpost as well. So that partnership I think is kind of like growing across not just... We started off with the one product line. Now our Portworx backup as a service is also available on EKS and along with the Portworx Data Services. So, it is also expanded across the product lanes as well. >> And then Dan, you want to elaborate a bit on AWS Plus Pure? >> Yeah, it's for kind of what we'll call the core Pure business or the traditional Pure business. As Dave mentioned, Cloud Block Store is kind of where things started and we're seeing that move and evolve from predominantly being a DR site and kind of story into now more and more production applications being lifted and shifted and running now natively in AWS honor storage software. And then we have a new product called Pure Fusion which is our storage as code automation product essentially. It takes you from moving and managing of individual arrays, now obfuscates a fleet level allows you to build a very cloud-like backend and consume storage as code. Very, very similar to how you do with AWS, with an EBS. That product is built in AWS. So it's a SaaS product built in AWS, really allowing you to turn your traditional Pure storage into an AWS-like experience. >> Lisa: Got it. >> What changed with Cloud Block Store? 'Cause if I recall, am I right that you basically did it on S3 originally? >> S3 is a big... It's a number of components. >> And you had a high performance EC2 instances. >> Dan: Yup, that's right. >> On top of lower cost object store. Is that still the case? >> That's still the architecture. Yeah, at least for AWS. It's a different architecture in Azure where we leverage their disc storage more. But in AWS were just based on essentially that backend. >> And then what's the experience when you go from, say, on-prem to AWS to sort of a cross cloud? >> Yeah, very, very simple. It's our replication technology built in. So our sync rep, our async rep, our active cluster technology is essentially allowing you to move the data really, really seamlessly there and then again back to Fusion, now being that kind of master control plan. You can have availability zones, running Cloud Block Store instances in AWS. You can be running your own availability zones in your data centers wherever those may happen to be, and that's kind of a unification layer across it all. >> It looks the same to the customer. >> To the customer, at the end of the day, it's... What the customer sees is the purity operating system. We have FlashArray proprietary hardware on premises. We have AWS's hardware that we run it on here. But to the customer, it's just the FlashArray. >> That's a data super cloud actually. Yeah, it's a data super cloud. >> I'd agree. >> It spans multiple clouds- >> Multiple clouds on premises. >> It extracts all the complexity of the underlying muck and the primitives and presents a common experience. >> Yeah, and it's the same APIs, same management console. >> Dave: Yeah, awesome. >> Everything's the same. >> See? It's real. It's a thing, On containers, I have a question. So we're in this environment, everybody wants to be more efficient, what's happening with containers? Is there... The intersection of containers and serverless, right? You think about all the things you have to do to run containers in VMs, configure everything, configure the memory, et cetera, and then serverless simplifies all that. I guess Knative in between or I guess Fargate. What are you seeing with customers between stateless apps, stateful apps, and how it all relates to containers? >> That's a great question, right? I think that one of the things that what we are seeing is that as people run more and more workloads in the cloud, right? There's this huge movement towards being the ability to bring these applications to run anywhere, right? Not just in one public cloud, but in the data centers and sometimes the Edge clouds. So there's a lot of portability requirements for the applications, right? I mean, yesterday morning I was having breakfast with a customer who is a big AWS customer but has to go into an on-prem air gap deployment for one of their large customers and is kind of re-platforming some other apps into containers in Kubernetes because it makes it so much easier for them to deploy. So there is no longer the debate of, is it stateless versus it stateful, it's pretty much all applications are moving to containers, right? And in that, you see people are building on Kubernetes and containers is because they wanted multicloud portability for their applications. Now the other big aspect is cost, right? You can significantly run... You know, like lower cost by running with Kubernetes and Portworx and by on the public cloud or on a private cloud, right? Because it lets you get more out of your infrastructure. You're not all provisioning your infrastructure. You are like just deploying the just-enough infrastructure for your application to run with Kubernetes and scale it dynamically as your application load scales. So, customers are better able to manage costs. >> Does serverless play in here though? Right? Because if I'm running serverless, I'm not paying for the compute the whole time. >> Yeah. >> Right? But then stateless and stateful come into play. >> Serverless has a place, but it is more for like quick event-driven decision. >> Dave: The stateless apps. >> You know, stuff that needs to happen. The serverless has a place, but majority of the applications have need compute and more compute to run because there's like a ton of processing you have to do, you're serving a whole bunch of users, you're serving up media, right? Those are not typically good serverless apps, right? The several less apps do definitely have a place. There's a whole bunch of minor code snippets or events you need to process every now and then to make some decisions. In that, yeah, you see serverless. But majority of the apps are still requiring a lot of compute and scaling the compute and scaling storage requirements at a time. >> So what Venkat was talking about is cost. That is probably our biggest tailwind from a cloud adoption standpoint. I think initially for on-premises vendors like Pure Storage or historically on-premises vendors, the move to the cloud was a concern, right? In that we're getting out the data center business, we're going all in on the cloud, what are you going to do? That's kind of why we got ahead of that with Cloud Block Store. But as customers have matured in their adoption of cloud and actually moved more applications, they're becoming much more aware of the costs. And so anywhere you can help them save money seems to drive adoption. So they see that on the Kubernetes side, on our side, just by adding in things that we do really well: Data reduction, thin provisioning, low cost snaps. Those kind of things, massive cost savings. And so it's actually brought a lot of customers who thought they weren't going to be using our storage moving forward back into the fold. >> Dave: Got it. >> So cost saving is great, huge business outcomes potentially for customers. But what are some of the barriers that you're helping customers to overcome on the storage side and also in terms of moving applications to Kubernetes? What are some of those barriers that you could help us? >> Yeah, I mean, I can answer it simply from a core FlashArray side, it's enabling migration of applications without having to refactor them entirely, right? That's Kubernetes side is when they think about changing their applications and building them, we'll call quote unquote more cloud native, but there are a lot of customers that can't or won't or just aren't doing that, but they want to run those applications in the cloud. So the movement is easier back to your data super cloud kind of comment, and then also eliminating this high cost associated with it. >> I'm kind of not a huge fan of the whole repatriation narrative. You know, you look at the numbers and it's like, "Yeah, there's something going on." But the one use case that looks like it's actually valid is, "I'm going to test in the cloud and I'm going to deploy on-prem." Now, I dunno if that's even called repatriation, but I'm looking to help the repatriation narrative because- >> Venkat: I think it's- >> But that's a real thing, right? >> Yeah, it's more than repatriation, right? It's more about the ability to run your app, right? It's not just even test, right? I mean, you're going to have different kinds of governance and compliance and regulatory requirements have to run your apps in different kinds of cloud environments, right? There are certain... Certain regions may not have all of the compliance and regulatory requirements implemented in that cloud provider, right? So when you run with Kubernetes and containers, I mean, you kind of do the transformation. So now you can take that app and run an infrastructure that allows you to deliver under those requirements as well, right? So that portability is the major driver than repatriation. >> And you would do that for latency reasons? >> For latency, yeah. >> Or data sovereign? >> Data sovereignty. >> Data sovereignty. >> Control. >> I mean, yeah. Availability of your application and data just in that region, right? >> Okay, so if the capability is not there in the cloud region, you come in and say, "Hey, we can do that on-prem or in a colo and get you what you need to comply to your EDX." >> Yeah, or potentially moves to a different cloud provider. It's just a lot more control that you're providing on customer at the end of the day. >> What's that move like? I mean, now you're moving data and everybody's going to complain about egress fees. >> Well, you shouldn't be... I think it's more of a one-time move. You're probably not going to be moving data between cloud providers regularly. But if for whatever reasons you decide that I'm going to stop running in X Cloud and I'm going to move to this cloud, what's the most seamless way to do? >> So a customer might say, "Okay, that's certification's not going to be available in this region or gov cloud or whatever for a year, I need this now." >> Yeah, or various commercial. Whatever it might be. >> "And I'm going to make the call now, one-way door, and I'm going to keep it on-prem." And then worry about it down the road. Okay, makes sense. >> Dan, I got to talk to you about the sustainability element there because it's increasingly becoming a priority for organizations in every industry where they need to work with companies that really have established sustainability programs. What are some of the factors that you talk with customers about as they have choice in all FlashArray between Pure and competitors where sustainability- >> Yeah, I mean we've leaned very heavily into that from a marketing standpoint recently because it has become so top of mind for so many customers. But at the end of the day, sustainability was built into the core of the Purity operating system in FlashArray back before it was FlashArray, right? In our early generation of products. The things that drive that sustainability of high density, high data reduction, small footprint, we needed to build that for Pure to exist as a company. And we are maybe kind of the last all-flash vendor standing that came ground up all-flash, not just the disc vendor that's refactored, right? And so that's sort of engineering from the ground up that's deeply, deeply into our software as a huge sustainability payout now. And we see that and that message is really, really resonating with customers. >> I haven't thought about that in a while. You actually are. I don't think there's any other... Nobody else made it through the knothole. And you guys hit escape velocity and then some. >> So we hit escape velocity and it hasn't slowed down, right? Earnings will be tomorrow, but the last many quarters have been pretty good. >> Yeah, we follow you pretty closely. I mean, there was one little thing in the pandemic and then boom! It's just kept cranking since, so. >> So at the end of the day though, right? We needed that level to be economically viable as a flash bender going against disc. And now that's really paying off in a sustainability equation as well because we consume so much less footprint, power cooling, all those factors. >> And there's been some headwinds with none pricing up until recently too that you've kind of blown right through. You know, you dealt with the supply issues and- >> Yeah, 'cause the overall... One, we've been, again, one of the few vendors that's been able to navigate supply really well. We've had no major delays in disruptions, but the TCO argument's real. Like at the end of the day, when you look at the cost of running on Pure, it's very, very compelling. >> Adam Selipsky made the statement, "If you're looking to tighten your belt, the cloud is the place to do it." Yeah, okay. It might be that, but... Maybe. >> Maybe, but you can... So again, we are seeing cloud customers that are traditional Pure data center customers that a few years ago said, "We're moving these applications into the cloud. You know, it's been great working with you. We love Pure. We'll have some on-prem footprint, but most of everything we're going to do is in the cloud." Those customers are coming back to us to keep running in the cloud. Because again, when you start to factor in things like thin provisioning, data reduction, those don't exist in the cloud. >> So, it's not repatriation. >> It's not repatriation. >> It's we want Pure in the cloud. >> Correct. We want your software. So that's why we built CBS, and we're seeing that come all the way through. >> There's another cost savings is on the... You know, with what we are doing with Kubernetes and containers and Portworx Data Services, right? So when we run Portworx Data Services, typically customers spend a lot of money in running the cloud managed services, right? Where there is obviously a sprawl of those, right? And then they end up spending a lot of item costs. So when we move that, like when they run their data, like when they move their databases to Portworx Data Services on Kubernetes, because of all of the other cost savings we deliver plus the licensing costs are a lot lower, we deliver 5X to 10X savings to our customers. >> Lisa: Significant. >> You know, significant savings on cloud as well. >> The operational things he's talking about, too. My Fusion engineering team is one of his largest customers from Portworx Data Services. Because we don't have DBAs on that team, it's just developers. But they need databases. They need to run those databases. We turn to PDS. >> This is why he pays my bills. >> And that's why you guys have to come back 'cause we're out of time, but I do have one final question for each of you. Same question. We'll start with you Dan, the Venkat we'll go to you. Billboard. Billboard or a bumper sticker. We'll say they're going to put a billboard on Castor Street in Mountain View near the headquarters about Pure, what does it say? >> The best container for containers. (Dave and Lisa laugh) >> Venkat, Portworx, what's your bumper sticker? >> Well, I would just have one big billboard that goes and says, "Got PX?" With the question mark, right? And let people start thinking about, "What is PX?" >> I love that. >> Dave: Got Portworx, beautiful. >> You've got a side career in marketing, I can tell. >> I think they moved him out of the engineering. >> Ah, I see. We really appreciate you joining us on the program this afternoon talking about Pure, Portworx, AWS. Really compelling stories about how you're helping customers just really make big decisions and save considerable costs. We appreciate your insights. >> Awesome. Great. Thanks for having us. >> Thanks, guys. >> Thank you. >> For our guests and for Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage. (upbeat music)

>>Good afternoon everyone, and thank you so much for joining us. My name is Savannah Peterson, joined by my co-host Paul for the afternoon. Very excited. Oh, Savannah. Hello. I'm, I'm pumped for this. This is our first bit together. Exactly. >>It's gonna be fun. Yes. We have a great guest to kick off with. >>We absolutely do. We're at Supercomputing 2022 today, and very excited to talk to our next guest. We're gonna be talking about data at scale and data that really matters to us joining us. Kelly Gayer, thank you so much for being here and you are with tech. Tell everyone what TAC is. >>Tech is the Texas Advanced Computing Center at the University of Texas at Austin. And thank you so much for having me here. >>It is wonderful to have you. Your smile's contagious. And one of the themes that's come up a lot with all of our guests, and we just talked about it, is how good it is to be back in person, how good it is to be around our hardware, community tech. You did some very interesting research during the pandemic. Can you tell us about that? >>I can. I did. So when we realized sort of mid-March, we realized that, that this was really not normal times and the pandemic was statement. Yes. That pandemic was really gonna touch everyone. I think a lot of us at the center and me personally, we dropped everything to plug in and that's what we do. So UT's tagline is what starts here changes the world and tax tagline is powering discoveries that change the world. So we're all about impact, but I plugged in with the research group there at UT Austin, Dr. Lauren Myers, who's an epidemiologist, and just we figured out how to plug in and compute so that we could predict the spread of, of Covid 19. >>And you did that through the use of mobility data, cell phone signals. Tell us more about what exactly you were choreographing. >>Yeah, so that was really interesting. Safe graph during the pandemic made their mobility data. Typically it was used for marketing purposes to know who was going into Walmart. The offenses >>For advertising. >>Absolutely, yeah. They made all of their mobility data available for free to people who were doing research and plugging in trying to understand Covid. 19, I picked that data up and we used it as a proxy for human behavior. So we knew we had some idea, we got weekly mobility updates, but it was really mobility all day long, you know, anonymized. I didn't know who they were by cell phones across the US by census block group or zip code if we wanted to look at it that way. And we could see how people were moving around. We knew what their neighbor, their home neighborhoods were. We knew how they were traveling or not traveling. We knew where people were congregating, and we could get some idea of, of how people were behaving. Were they really, were they really locking down or were they moving in their neighborhoods or were they going outside of their neighborhoods? >>What a, what a fascinating window into our pandemic lives. So now that you were able to do this for this pandemic, as we look forward, what have you learned? How quickly could we forecast? What's the prognosis? >>Yeah, so we, we learned a tremendous amount. I think during the pandemic we were reacting, we were really trying. It was a, it was an interesting time as a scientist, we were reacting to things almost as if the earth was moving underneath us every single day. So it was something new every day. And I've told people since I've, I haven't, I haven't worked that hard since I was a graduate student. So it was really daylight to dark 24 7 for a long period of time because it was so important. And we knew, we, we knew we were, we were being a part of history and affecting something that was gonna make a difference for a really long time. And, and I think what we've learned is that indeed there is a lot of data being collected that we can use for good. We can really understand if we get organized and we get set up, we can use this data as a means of perhaps predicting our next pandemic or our next outbreak of whatever. It is almost like using it as a canary in the coal mine. There's a lot in human behavior we can use, given >>All the politicization of, of this last pandemic, knowing what we know now, making us better prepared in theory for the next one. How confident are you that at least in the US we will respond proactively and, and effectively when the next one comes around? >>Yeah, I mean, that's a, that's a great question and, and I certainly understand why you ask. I think in my experience as a scientist, certainly at tech, the more transparent you are with what you do and the more you explain things. Again, during the pandemic, things were shifting so rapidly we were reacting and doing the best that we could. And I think one thing we did right was we admitted where we felt uncertain. And that's important. You have to really be transparent to the general public. I, I don't know how well people are gonna react. I think if we have time to prepare, to communicate and always be really transparent about it. I think those are three factors that go into really increasing people's trust. >>I think you nailed it. And, and especially during times of chaos and disaster, you don't know who to trust or what to believe. And it sounds like, you know, providing a transparent source of truth is, is so critical. How do you protect the sensitive data that you're working with? I know it's a top priority for you and the team. >>It is, it is. And we, we've adopted the medical mantra, do no harm. So we have, we feel a great responsibility there. There's, you know, two things that you have to really keep in mind when you've got sensitive data. One is the physical protection of it. And so that's, that's governed by rule, federal rules, hipaa, ferpa, whatever, whatever kind of data that you have. So we certainly focus on the physical protection of it, but there's also sort of the ethical protection of it. What, what is the quote? There's lies, damn lies and statistics. >>Yes. Twain. >>Yeah. So you, you really have to be responsible with what you're doing with the data, how you're portraying the results. And again, I think it comes back to transparency is is basically if people are gonna reproduce what I did, I have to be really transparent with what I did. >>I, yeah, I think that's super important. And one of the themes with, with HPC that we've been talking about a lot too is, you know, do people trust ai? Do they trust all the data that's going into these systems? And I love that you just talked about the storytelling aspect of that, because there is a duty, it's not, you can cut data kind of however you want. I mean, I come from marketing background and we can massage it to, to do whatever we want. So in addition to being the deputy director at Tech, you are also the DEI officer. And diversity I know is important to you probably both as an individual, but also in the work that you're doing. Talk to us about that. >>Yeah, I mean, I, I very passionate about diversity, equity and inclusion in a sense of belongingness. I think that's one of the key aspects of it. Core >>Of community too. >>I got a computer science degree back in the eighties. I was akin to a unicorn in a, in an engineering computer science department. And, but I was really lucky in a couple of respects. I had a, I had a father that was into science that told me I could do anything I, I wanted to set my mind to do. So that was my whole life, was really having that support system. >>He was cheers to dad. >>Yeah. Oh yeah. And my mom as well, actually, you know, they were educators. I grew up, you know, in that respect, very, very privileged, but it was still really hard to make it. And I couldn't have told you back in that time why I made it and, and others didn't, why they dropped out. But I made it a mission probably back, gosh, maybe 10, 15 years ago, that I was really gonna do all that I could to change the needle. And it turns out that there are a number of things that you can do grassroots. There are certainly best practices. There are rules and there are things that you really, you know, best practices to follow to make people feel more included in an organization, to feel like they belong it, shared mission. But there are also clever things that you can do with programming to really engage students, to meet people and students where they are interested and where they are engaged. And I think that's what, that's what we've done over, you know, the course of our programming over the course of about maybe since 2016. We have built a lot of programming ATAC that really focuses on that as well, because I'm determined the needle is gonna change before it's all said and done. It just really has to. >>So what, what progress have you made and what goals have you set in this area? >>Yeah, that, that's a great question. So, you know, at first I was a little bit reluctant to set concrete goals because I really didn't know what we could accomplish. I really wasn't sure what grassroots efforts was gonna be able to, you're >>So honest, you can tell how transparent you are with the data as well. That's >>Great. Yeah, I mean, if I really, most of the successful work that I've done is both a scientist and in the education and outreach space is really trust relationships. If I break that trust, I'm done. I'm no longer effective. So yeah, I am really transparent about it. But, but what we did was, you know, the first thing we did was we counted, you know, to the extent that we could, what does the current picture look like? Let's be honest about it. Start where we are. Yep. It was not a pretty picture. I mean, we knew that anecdotally it was not gonna be a great picture, but we put it out there and we leaned into it. We said, this is what it is. We, you know, I hesitated to say we're gonna look 10% better next year because I'm, I'm gonna be honest, I don't always know we're gonna do our best. >>The things that I think we did really well was that we stopped to take time to talk and find out what people were interested in. It's almost like being present and listening. My grandmother had a saying, you have two errors in one mouth for a reason, just respect the ratio. Oh, I love that. Yeah. And I think it's just been building relationships, building trust, really focusing on making a difference, making it a priority. And I think now what we're doing is we've been successful in pockets of people in the center and we are, we are getting everybody on board. There's, there's something everyone can do, >>But the problem you're addressing doesn't begin in college. It begins much, much, that's right. And there's been a lot of talk about STEM education, particularly for girls, how they're pushed out of the system early on. Also for, for people of color. Do you see meaningful progress being made there now after years of, of lip service? >>I do. I do. But it is, again, grassroots. We do have a, a, a researcher who was a former teacher at the center, Carol Fletcher, who is doing research and for CS for all we know that the workforce, so if you work from the current workforce, her projected workforce backwards, we know that digital skills of some kind are gonna be needed. We also know we have a, a, a shortage. There's debate on how large that shortage is, but about roughly about 1 million unmet jobs was projected in 2020. It hasn't gotten a lot better. We can work that problem backwards. So what we do there is a little, like a scatter shot approach. We know that people come in all forms, all shapes, all sizes. They get interested for all different kinds of reasons. We expanded our set of pathways so that we can get them where they can get on to the path all the way back K through 12, that's Carol's work. Rosie Gomez at the center is doing sort of the undergraduate space. We've got Don Hunter that does it, middle school, high school space. So we are working all parts of the problem. I am pretty passionate about what we consider opportunity youth people who never had the opportunity to go to college. Is there a way that we can skill them and get, get them engaged in some aspect and perhaps get them into this workforce. >>I love that you're starting off so young. So give us an example of one of those programs. What are you talking to kindergartners about when it comes to CS education? >>You know, I mean, gaming. Yes. Right. It's what everybody can wrap their head around. So most kids have had some sort of gaming device. You talk in the context, in the context of something they understand. I'm not gonna talk to them about high performance computing. It, it would go right over their heads. And I think, yeah, you know, I, I'll go back to something that you said Paul, about, you know, girls were pushed out. I don't know that girls are being pushed out. I think girls aren't interested and things that are being presented and I think they, I >>Think you're generous. >>Yeah. I mean, I was a young girl and I don't know why I stayed. Well, I do know why I stayed with it because I had a father that saw something in me and I had people at critical points in my life that saw something in me that I didn't see. But I think if we ch, if we change the way we teach it, maybe in your words they don't get pushed out or they, or they won't lose interest. There's, there's some sort of computing in everything we do. Well, >>Absolutely. There's also the bro culture, which begins at a very early >>Age. Yeah, that's a different problem. Yeah. That's just having boys in the classroom. Absolutely. You got >>It. That's a whole nother case. >>That's a whole other thing. >>Last question for you, when we are sitting here, well actually I've got, it's two parter, let's put it that way. Is there a tool or something you wish you could flick a magic wand that would make your job easier? Where you, you know, is there, can you identify the, the linchpin in the DEI challenge? Or is it all still prototyping and iterating to figure out the best fit? >>Yeah, that is a, that's a wonderful question. I can tell you what I get frustrated with is that, that >>Counts >>Is that I, I feel like a lot of people don't fully understand the level of effort and engagement it takes to do something meaningful. The >>Commitment to a program, >>The commitment to a program. Totally agree. It's, there is no one and done. No. And in fact, if I do that, I will lose them forever. They'll be, they will, they will be lost in the space forever. Rather. The engagement is really sort of time intensive. It's relationship intensive, but there's a lot of follow up too. And the, the amount of funding that goes into this space really is not, it, it, it's not equal to the amount of time and effort that it really takes. And I think, you know, I think what you work in this space, you realize that what you gain is, is really more of, it's, it really feels good to make a difference in somebody's life, but it's really hard to do on a shoer budget. So if I could kind of wave a magic wand, yes, I would increase understanding. I would get people to understand that it's all of our responsibility. Yes, everybody is needed to make the difference and I would increase the funding that goes to the programs. >>I think that's awesome, Kelly, thank you for that. You all heard that. More funding for diversity, equity, and inclusion. Please Paul, thank you for a fantastic interview, Kelly. Hopefully everyone is now inspired to check out tac perhaps become a, a Longhorn, hook 'em and, and come deal with some of the most important data that we have going through our systems and predicting the future of our pandemics. Ladies and gentlemen, thank you for joining us online. We are here in Dallas, Texas at Supercomputing. My name is Savannah Peterson and I look forward to seeing you for our next segment.

>> Hello everyone and welcome back to theCUBE, where we're live from Dallas, Texas here at Super computing 2022. I am joined by my cohost David Nicholson. Thank you so much for being here with me and putting up with my trashy jokes all day. >> David: Thanks for having me. >> Yeah. Yes, we are going to be talking about AI this morning and I'm very excited that our guest has has set the stage for us here quite well. Please welcome Andrea Booker. Andrea, thank you so much for being here with us. >> Absolutely. Really excited to be here. >> Savannah: How's your show going so far? >> It's been really cool. I think being able to actually see people in person but also be able to see the latest technologies and and have the live dialogue that connects us in a different way than we have been able to virtually. >> Savannah: Oh yeah. No, it's all, it's all about that human connection and that it is driving towards our first question. So as we were just chit chatting. You said you are excited about making AI real and humanizing that. >> Andrea: Absolutely. >> What does that mean to you? >> So I think when it comes down to artificial intelligence it means so many different things to different people. >> Savannah: Absolutely. >> I was talking to my father the other day for context, he's in his late seventies, right. And I'm like, oh, artificial intelligence, this or that, and he is like, machines taking over the world. Right. >> Savannah: Very much the dark side. >> A little bit Terminator. And I'm like, well, not so much. So that was a fun discussion. And then you flip it to the other side and I'm talking to my 11 year old daughter and she's like, Alexa make sure you know my song preferences. Right. And that's the other very real way in which it's kind of impacting our lives. >> Savannah: Yeah. >> Right. There's so many different use cases that I don't think everyone understands how that resonates. Right. It's the simple things from, you know, recommend Jason Engines when you're on Amazon and it suggests just a little bit more. >> Oh yeah. >> I'm a little bit to you that one, right. To stuff that's more impactful in regards to getting faster diagnoses from your doctors. Right. Such peace of mind being able to actually hear that answer faster know how to go tackle something. >> Savannah: Great point, yeah. >> You know, and, and you know, what's even more interesting is from a business perspective, you know the projections are over the next five years about 90% of customers are going to use AI applications in in some fashion, right. >> Savannah: Wow. >> And the reason why that's interesting is because if you look at it today, only about 15% of of them are doing so. Right. So we're early. So when we're talking growth and the opportunity, it's, it's amazing. >> Yeah. I can, I can imagine. So when you're talking to customers, what are are they excited? Are they nervous? Are you educating them on how to apply Dell technology to advance their AI? Where are they off at because we're so early? >> Yeah well, I think they're figuring it out what it means to them, right? >> Yeah. Because there's so many different customer applications of it, right? You have those in which, you know, are on on the highest end in which that our new XE products are targeting that when they think of it. You know, I I, I like to break it down in this fashion in which artificial intelligence can actually save human lives, right? And this is those extreme workloads that I'm talking about. We actually can develop a Covid vaccine faster, right. Pandemic tracking, you know with global warming that's going on. And we have these extreme weather events with hurricanes and tsunamis and all these things to be able to get advanced notice to people to evacuate, to move. I mean, that's a pretty profound thing. And it is, you know so it could be used in that way to save lives, right? >> Absolutely. >> Which is it's the natural outgrowth of the speeds and feeds discussions that we might have internally. It's, it's like, oh, oh, speed doubled. Okay. Didn't it double last year? Yeah. Doubled last year too. So it's four x now. What does that mean to your point? >> Andrea: Yeah, yeah. >> Savannah: Yeah. >> Being able to deliver faster insight insights that are meaningful within a timeframe when otherwise they wouldn't be meaningful. >> Andrea: Yeah. >> If I tell you, within a two month window whether it's going to rain this weekend, that doesn't help you. In hindsight, we did the calculation and we figured out it's going to be 40 degrees at night last Thursday >> Knowing it was going to completely freeze here in Dallas to our definition in Texas but we prepare better to back to bring clothes. >> We were talking to NASA about that yesterday too. I mean, I think it's, it's must be fascinating for you to see your technology deployed in so many of these different use cases as well. >> Andrea: Absolutely, absolutely. >> It's got to be a part of one of the more >> Andrea: Not all of them are extreme, right? >> Savannah: Yeah. >> There's also examples of, you know natural language processing and what it does for us you know, the fact that it can break down communication barriers because we're global, right? We're all in a global environment. So if you think about conference calls in which we can actually clearly understand each other and what the intent is, and the messaging brings us closer in different ways as well. Which, which is huge, right? You don't want things lost in translation, right? So it, it helps on so many fronts. >> You're familiar with the touring test idea of, of, you know whether or not, you know, the test is if you can't discern within a certain number of questions that you're interacting with an AI versus a real human, then it passes the touring test. I think there should be a natural language processing test where basically I say, fine >> Andrea: You see if people was mad or not. >> You tell me, you tell me. >> I love this idea, David. >> You know? >> Yeah. This is great. >> Okay. AI lady, >> You tell me what I meant. >> Yeah, am I actually okay? >> How far from, that's silly example but how far do you think we are from that? I mean, what, what do you seeing out there in terms of things where you're kind of like, whoa, they did this with technology I'm responsible for, that was impressive. Or have you heard of things that are on the horizon that, you know, again, you, you know they're the big, they're the big issues. >> Yeah. >> But any, anything kind of interesting and little >> I think we're seeing it perfected and tweaked, right? >> Yeah. >> You know, I think going back to my daughter it goes from her screaming at Alexa 'cause she did hear her right the first time to now, oh she understands and modifies, right? Because we're constantly tweaking that technology to have a better experience with it. And it's a continuum, right? The voice to text capabilities, right. You know, I I'd say early on it got most of those words, right Right now it's, it's getting pretty dialed in. Right. >> Savannah: That's a great example. >> So, you know, little things, little things. >> Yeah. I think I, I love the, the this thought of your daughter as the example of training AI. What, what sort of, you get to look into the future quite a bit, I'm sure with your role. >> Andrea: Absolutely. >> Where, what is she going to be controlling next? >> The world. >> The world. >> No, I mean if you think about it just from a generational front, you know technology when I was her age versus what she's experiencing, she lives and breathes it. I mean, that's the generational change. So as these are coming out, you have new folks growing with it that it's so natural that they are so open to adopting it in their common everyday behaviors. Right? >> Savannah: Yeah. >> But they'd they never, over time they learn, oh well how it got there is 'cause of everything we're doing now, right. >> Savannah: Yeah. >> You know, one, one fun example, you know as my dad was like machines are taking over the world is not, not quite right. Even if when you look at manufacturing, there's a difference in using AI to go build a digital simulation of a factory to be able to optimize it and design it right before you're laying the foundation that saves cost, time and money. That's not taking people's jobs in that extreme event. >> Right. >> It's really optimizing for faster outcomes and, and and helping our customers get there which is better for everyone. >> Savannah: Yeah and safer too. I mean, using the factory example, >> Totally safer. >> You're able to model out what a workplace injury might be or what could happen. Or even the ergonomics of how people are using. >> Andrea: Yeah, should it be higher so they don't have to bend over? Right. >> Exactly. >> There's so many fantastic positive ways. >> Yeah so, so for your dad, you know, I mean it's going to help us, it's going to make, it's going to take away when I. Well I'm curious what you think, David when I think about AI, I think it's going to take out a lot of the boring things in life that, that we don't like >> Andrea: Absolutely. Doing. The monotony and the repetitive and let us optimize our creative selves maybe. >> However, some of the boring things are people's jobs. So, so it is, it it it will, it will it will push a transition in our economy in the global economy, in my opinion. That would be painful for some, for some period of time. But overall beneficial, >> Savannah: Yes. But definitely as you know, definitely there will be there will be people who will be disrupted and, you know. >> Savannah: Tech's always kind of done that. >> We No, but we need, I, I think we need to make sure that the digital divide doesn't get so wide that you know that, that people might not be negative, negatively affected. And, but, but I know that like organizations like Dell I believe what you actually see is, >> Andrea: Yeah. >> No, it's, it's elevating people. It's actually taking away >> Andrea: Easier. >> Yeah. It's, it's, it's allowing people to spend their focus on things that are higher level, more interesting tasks. >> Absolutely. >> David: So a net, A net good. But definitely some people disrupted. >> Yes. >> I feel, I feel disrupted. >> I was going to say, are, are we speaking for a friend or for ourselves here today on stage? >> I'm tired of software updates. So maybe if you could, if you could just standardize. So AI and ML. >> Andrea: Yeah. >> People talk about machine learning and, and, and and artificial intelligence. How would you differentiate the two? >> Savannah: Good question. >> It it, it's, it's just the different applications and the different workloads of it, right? Because you actually have artificial intelligence you have machine learning in which the learn it's learning from itself. And then you have like the deep learning in which it's diving deeper in in its execution and, and modeling. And it really depends on the workload applications as long as well as how large the data set is that's feeding into it for those applications. Right. And that really leads into the, we have to make sure we have the versatility in our offerings to be able to meet every dimension of that. Right. You know our XE products that we announced are really targeted for that, those extreme AI HPC workloads. Right. Versus we also have our entire portfolio products that we make sure we have GPU diversity throughout for the other applications that may be more edge centric or telco centric, right? Because AI isn't just these extreme situations it's also at the edge. It's in the cloud, it's in the data center, right? So we want to make sure we have, you know versatility in our offerings and we're really meeting customers where they're at in regards to the implementation and and the AI workloads that they have. >> Savannah: Let's dig in a little bit there. So what should customers expect with the next generation acceleration trends that Dell's addressing in your team? You had three exciting product announcements here >> Andrea: We did, we did. >> Which is very exciting. So you can talk about that a little bit and give us a little peek. >> Sure. So, you know, for, for the most extreme applications we have the XE portfolio that we built upon, right? We already had the XC 85 45 and we've expanded that out in a couple ways. The first of which is our very first XC 96 88 way offering in which we have Nvidia's H 100 as well as 8 100. 'Cause we want choice, right? A choice between performance, power, what really are your needs? >> Savannah: Is that the first time you've combined? >> Andrea: It's the first time we've had an eight way offering. >> Yeah. >> Andrea: But we did so mindful that the technology is emerging so much from a thermal perspective as well as a price and and other influencers that we wanted that choice baked into our next generation of product as we entered the space. >> Savannah: Yeah, yeah. >> The other two products we have were both in the four way SXM and OAM implementation and we really focus on diversifying and not only from vendor partnerships, right. The XC 96 40 is based off Intel Status Center max. We have the XE 86 40 that is going to be in or Nvidia's NB length, their latest H 100. But the key differentiator is we have air cold and we have liquid cold, right? So depending on where you are from that data center journey, I mean, I think one of the common themes you've heard is thermals are going up, performance is going up, TBPs are going up power, right? >> Savannah: Yeah. >> So how do we kind of meet in the middle to be able to accommodate for that? >> Savannah: I think it's incredible how many different types of customers you're able to accommodate. I mean, it's really impressive. I feel lucky we've gotten to see these products you're describing. They're here on the show floor. There's millions of dollars of hardware literally sitting in your booth. >> Andrea: Oh yes. >> Which is casual only >> Pies for you. Yeah. >> Yeah. We were, we were chatting over there yesterday and, and oh, which, which, you know which one of these is more expensive? And the response was, they're both expensive. It was like, okay perfect >> But assume the big one is more. >> David: You mentioned, you mentioned thermals. One of the things I've been fascinated by walking around is all of the different liquid cooling solutions. >> Andrea: Yeah. >> And it's almost hysterical. You look, you look inside, it looks like something from it's like, what is, what is this a radiator system for a 19th century building? >> Savannah: Super industrial? >> Because it looks like Yeah, yeah, exactly. Exactly, exactly. It's exactly the way to describe it. But just the idea that you're pumping all of this liquid over this, over this very, very valuable circuitry. A lot of the pitches have to do with, you know this is how we prevent disasters from happening based on the cooling methods. >> Savannah: Quite literally >> How, I mean, you look at the power requirements of a single rack in a data center, and it's staggering. We've talked about this a lot. >> Savannah: Yeah. >> People who aren't kind of EV you know electric vehicle nerds don't appreciate just how much power 90 kilowatts of power is for an individual rack and how much heat that can generate. >> Andrea: Absolutely. >> So Dell's, Dell's view on this is air cooled water cooled figure it out fit for for function. >> Andrea: Optionality, optionality, right? Because our customers are a complete diverse set, right? You have those in which they're in a data center 10 to 15 kilowatt racks, right? You're not going to plum a liquid cool power hungry or air power hungry thing in there, right? You might get one of these systems in, in that kind of rack you know, architecture, but then you have the middle ground the 50 to 60 is a little bit of choice. And then the super extreme, that's where liquid cooling makes sense to really get optimized and have the best density and, and the most servers in that solution. So that's why it really depends, and that's why we're taking that approach of diversity, of not only vendors and, and choice but also implementation and ways to be able to address that. >> So I think, again, again, I'm, you know electric vehicle nerd. >> Yeah. >> It's hysterical when you, when you mention a 15 kilowatt rack at kind of flippantly, people don't realize that's way more power than the average house is consuming. >> Andrea: Yeah, yeah >> So it's like your entire house is likely more like five kilowatts on a given day, you know, air conditioning. >> Andrea: Maybe you have still have solar panel. >> In Austin, I'm sorry >> California, Austin >> But, but, but yeah, it's, it's staggering amounts of power staggering amounts of heat. There are very real problems that you guys are are solving for to drive all of these top line value >> Andrea: Yeah. >> Propositions. It's super interesting. >> Savannah: It is super interesting. All right, Andrea, last question. >> Yes. Yes. >> Dell has been lucky to have you for the last decade. What is the most exciting part about you for the next decade of your Dell career given the exciting stuff that you get to work on. >> I think, you know, really working on what's coming our way and working with my team on that is is just amazing. You know, I can't say it enough from a Dell perspective I have the best team. I work with the most, the smartest people which creates such a fun environment, right? So then when we're looking at all this optionality and and the different technologies and, and, and you know partners we work with, you know, it's that coming together and figuring out what's that best solution and then bringing our customers along that journey. That kind of makes it fun dynamic that over the next 10 years, I think you're going to see fantastic things. >> David: So I, before, before we close, I have to say that's awesome because this event is also a recruiting event where some of these really really smarts students that are surrounding us. There were some sirens going off. They're having competitions back here. >> Savannah: Yeah, yeah, yeah. >> So, so when they hear that. >> Andrea: Where you want to be. >> David: That's exactly right. That's exactly right. >> Savannah: Well played. >> David: That's exactly right. >> Savannah: Well played. >> Have fun. Come on over. >> Well, you've certainly proven that to us. Andrea, thank you so much for being with us This was such a treat. David Nicholson, thank you for being here with me and thank you for tuning in to theCUBE a lot from Dallas, Texas. We are all things HPC and super computing this week. My name's Savannah Peterson and we'll see you soon. >> Andrea: Awesome.

>>Good afternoon friends, and welcome back to Supercomputing. We're live here at the Cube in Dallas. I'm joined by my co-host, David. My name is Savannah Peterson and our a fabulous guest. I feel like this is almost his show to a degree, given his role at Dell. He is the Vice President of HPC over at Dell. Raja Phan, thank you so much for being on the show with us. How you doing? >>Thank you guys. I'm doing okay. Good to be back in person. This is a great show. It's really filled in nicely today and, and you know, a lot of great stuff happening. >>It's great to be around all of our fellow hardware nerds. The Dell portfolio grew by three products. It it did, I believe. Can you give us a bit of an intro on >>That? Sure. Well, yesterday afternoon and yesterday evening, we had a series of events that announced our new AI portfolio, artificial intelligence portfolio, you know, which will really help scale where I think the world is going in the future with, with the creation of, of all this data and what we can do with it. So yeah, it was an exciting day for us. Yesterday we had a, a session over in a ballroom where we did a product announce and then in the evening had an unveil in our booth here at the SUPERCOMPUTE conference, which was pretty eventful cupcakes, you know, champagne drinks and, and most importantly, Yeah, I know. Good time. Did >>You get the invite? >>No, I, most importantly, some really cool new servers for our customers. >>Well, tell us about them. Yeah, so what's, what's new? What's in the news? >>Well, you know, as you think about artificial intelligence and what customers are, are needing to do and the way artificial intelligence is gonna change how, you know, frankly, the world works. We have now developed and designed new purpose-built hardware, new purpose-built servers for a variety of AI and artificial intelligence needs. We launched our first eight way, you know, Invidia H 100 a a 100 s XM product. Yesterday we launched a four u four way H 100 product yesterday and a two u fully liquid cooled intel data center, Max GPU server yesterday as well. So, you know, a full range of portfolio for a variety of customer needs, depending on their use cases, what they're trying to do, their infrastructure, we're able to now provide, you know, servers to and hardware that help, you know, meet those needs in those use cases. >>So I wanna double click, you just said something interesting, water cooled. >>Yeah. So >>Where does, at what point do you need to move in the direction of water cooling and, you know, I know you mentioned, you know, GPU centric, but, but, but talk about that, that balance between, you know, a density and what you can achieve with the power that's going into the system. Well, you system, >>It all depends on what the customers are trying to accommodate, right? I, I think that there's a dichotomy that's existing now between customers who have already or are planning liquid cooled infrastructures and power distribution to the rack. So you take those two together and if you have the power distribution to the rack, you wanna take advantage of the density to take advantage of the density you need to be able to cool the servers and therefore liquid cooling comes into play. Now you have other customers that either don't have the power to the rack or aren't ready for liquid cooling, and at that point, you know, they're not gonna want to take advantage. They can't take advantage of the density. So there's this dichotomy in products, and that's why we've got our XE 96 40, which is in two U dense liquid cooled, but we also have our XE 86 40, which is a four U air cold, right? Or liquid assisted air cold, right? So depending on where you are on your journey, whether it's power infrastructure, liquid cooling, infrastructure, we've got the right solution for you that, you know, meets your needs. You don't have to take advantage of the density, the expense of liquid cooling, unless you're ready to do that. Otherwise we've got this other option for you. And so that's really what dichotomy is beginning to exist in our customers infrastructures today. >>I was curious about that. So do you see, is there a category or a vertical that is more in the liquid cooling zone because that's a priority in terms of the density or >>Yeah, yeah. I mean, you've got your, your large HTC installations, right? Your large clusters that not only have the power have, you know, the liquid cooling density that they've built in, you've got, you know, federal government installations, you've got financial tech installations, you've got colos that are built for sustainability and density and space that, that can also take advantage of it. Then you've got others that are, you know, more enterprises, more in the mainstream of what they do, where, you know, they're not ready for that. So it just, it just depends on the scale of the customer that we're talking about and what they're trying to do and, and where they're, and where they're doing it. >>So we hear, you know, we hear at Supercomputing conference and HPC is sort of the kind of trailing mini version of supercomputing in a way where maybe you have someone who they don't need 2 million CPU cores, but maybe they need a hundred thousand CPU cores. So it's all a matter of scale. What is, can you identify kind of an HPC sweet spot right now as, as Dell customers are adopting the kinds of things that you just just announced? >>You know, I think >>How big are these clusters at this >>Point? Well, let, let me, let me hit something else first. Yeah, I think people talk about HPC as, as something really specific and what we're seeing now with the, you know, vast amount of data creation, the need for computational analytics, the need for artificial intelligence, the HPC is kind of morphing right into, into, you know, more and more general customer use cases. And so where before you used to think about HPC is research and academics and computational dynamics. Now, you know, there's a significant Venn diagram overlap with just regular artificial intelligence, right? And, and so that is beginning to change the nature of how we think about hpc. You think about the vast data that's being created. You've got data driven HPC where you're running computational analytics on this data that's giving you insights or outcomes or information. It's not just, Hey, I'm running, you know, physics calculations or astronomical how, you know, calculations. It is now expanding in a variety of ways where it's democratizing into, you know, customers who wouldn't actually talk about themselves as HVC customers. And when you meet with them, it's like, well, yeah, but your compute needs are actually looking like HPC customers. So let's talk to you about these products. Let's talk to you about these solutions, whether it's software solutions, hardware solutions, or even purpose-built hardware. Like we're, like we talked about that now becomes the new norm. >>Customer feedback and community engagement is big for you. I know this portfolio of products that was developed based on customer feedback, correct? Yep. >>So everything we do at Dell is customer driven, right? We want to be, we want to drive, you know, customer driven innovation, customer driven value to meet our customer's needs. So yeah, we spent a while, right, researching these products, researching these needs, understanding is this one product? Is it two products? Is it three products? Talking to our partners, right? Driving our own innovation in IP and then where they're going with their roadmaps to be able to deliver kind of a harmonized solution to customers. So yeah, it was a good amount of customer engagement. I know I was on the road quite a bit talking to customers, you know, one of our products was, you know, we almost named after one of our customers, right? I'm like, Hey, this, we've talked about this. This is what you said you wanted. Now he, he was representative of a group of customers and we validated that with other customers and it's also a way of me making sure he buys it. But great, great. Yeah, >>Sharing sales there, >>That was good. But you know, it's heavily customer driven and that's where understanding those use cases and where they fit drove the various products. And, you know, in terms of, in terms of capability, in terms of size, in terms of liquid versus air cooling, in terms of things like number of P C I E lanes, right? What the networking infrastructure was gonna look like. All customer driven, all designed to meet where customers are going in their artificial intelligence journey, in their AI journey. >>It feels really collaborative. I mean, you've got both the intel and the Nvidia GPU on your new product. There's a lot of CoLab between academics and the private sector. What has you most excited today about supercomputing? >>What it's going to enable? If you think about what artificial intelligence is gonna enable, it's gonna enable faster medical research, right? Genomics the next pandemic. Hopefully not anytime soon. We'll be able to diagnose, we'll be able to track it so much faster through artificial intelligence, right? That the data that was created in this last one is gonna be an amazing source of research to, to go address stuff like that in the future and get to the heart of the problem faster. If you think about a manufacturing and, and process improvement, you can now simulate your entire manufacturing process. You don't have to run physical pilots, right? You can simulate it all, get 90% of the way there, which means your, your either factory process will get reinvented factor faster, or a new factory can get up and running faster. Think about retail, how retail products are laid out. >>You can use media analytics to track how customers go through the store, what they're buying. You can lay things out differently. You're not gonna have in the future people going, you know, to test cell phone reception. Can you hear me now? Can you hear me? Now you can simulate where customers are patterns to ensure that the 5G infrastructure is set up, you know, to the maximum advantage. All of that through digital simulation, through digital twins, through media analytics, through natural language processing. Customer experience is gonna be better, communication's gonna be better. All of this stuff with, you know, using this data, training it, and then applying it is probably what excites me the most about super computing and, and really compute in the future. >>So on the hardware front, kind of digging down below the, the covers, you know, the surface a little more, Dell has been well known for democratizing things in it, making them available to, at a variety of levels. Never a one size fits all right? Company, these latest announcements would be fair to say. They represent sort of the tip of the spear in terms of high performance. What about, what about rpc regular performance computing? Where's, where's the overlap? Cause you know, we're in this season where we've got AMD and Intel leapfrogging one another, new bus architectures. The, the, you know, the, the connectivity that's plugged into these things are getting faster and faster and faster. So from a Dell perspective, where does my term rpc regular performance computing and, and HPC begin? Are you seeing people build stuff on kind of general purpose clusters also? >>Well, sure, I mean, you can run a, a good amount of artificial acceleration on, you know, high core count CPUs without acceleration, and you can do it with P C I E accelerators and then, then you can do it with some of the, the, the very specific high performance accelerators like that, the intel, you know, data center, Max GPUs or NVIDIAs a 100 or H 100. So there are these scale up opportunities. I mean, if you think about, >>You know, >>Our mission to democratize compute, not just hpc, but general compute is about making it easier for customers to implement, to get the value out of what they're trying to do. So we focus on that with, you know, reference designs or validated designs that take out a good amount of time that customers would have to do it on their own, right? We can cut by six to 12 months the ability for customers in, in, I'm gonna use an HPC example and then I'll come back to your, your regular performance compute by us doing the work us, you know, setting, you know, determining the configuration, determining the software packages, testing it, tuning it so that by the time it gets to the customer, they get to take advantage of the expertise of Dell Engineers Dell Scale and they are ready to go in a much faster point of view. >>The challenge with AI is, and you talk to customers, is they all know what it can lead to and the benefits of it. Sometimes they just dunno how to start. We are trying to make it easier for customers to start, whether it is using regular RPC or you know, non optimized, non specialized compute, or as you move up the value stack into compute capability, our goal is to make it easier for customers to start to get on their journey and to get to what they're trying to do faster. So where do I see, you know, regular performance compute, you know, it's, it's, you know, they go hand in hand, right? As you think about what customers are trying to do. And I think a lot of customers, like we talked about, don't actually think about what they're trying to do as high performance computing. They don't think of themselves as one of those specialized institutions as their hpc, but they're on this glide path to greater and greater compute needs and greater and greater compute attributes that that merge kind of regular performance computing and high performance computing to where it's hard to really draw the line, especially when you get to data driven HPC data's everywhere >>And so much data. And it sounds like a lot people are very early in this journey. From our conversation with Travis, I mean five AI programs per very large company or less at this point for 75% of customers, that's pretty wild. I mean you're, you're an educational coach, you're teachers, you're innovating on the hardware front, you're doing everything at Dell. Last question for you. You've been at 24 years, >>25 in this coming march. >>What has a company like that done to retain talent like you for more than two and a half decades? >>You know, for me and I, I, and I'd like to say I had an atypical journey, but I don't think I have right there, there has always been opportunity for me, right? You know, I started off as a quality engineer. A couple years later I'm living in Singapore running or you know, running services for Enterprise and apj. I come back couple years in Austin, then I'm in our Bangalore development center helping set that up. Then I come back, then I'm in our Taiwan development center helping with some of the work out there. And then I come back. There has always been the next opportunity before I could even think about am I ready for the next opportunity? Oh. And so for me, why would I leave? Right? Why would I do anything different given that there's always been the next opportunity? The other thing is jobs are what you make of it and Dell embraces that. So if there's something that needs to be done or there was an opportunity, or even in the case of our AI ML portfolio, we saw an opportunity, we reviewed it, we talked about it, and then we went all in. So that innovation, that opportunity, and then most of all the people at Dell, right? I can't ask to work with a better set of set of folks from from the top on down. >>That's fantastic. Yeah. So it's culture. >>It is culture B really, at the end of the day, it is culture. >>That's fantastic. Raja, thank you so much for being here with us. >>Thank you guys, the >>Show. >>Really appreciate it. >>Questions? Yeah, this was such a pleasure. And thank you for tuning into the Cube Live from Dallas here at Supercomputing. My name is Savannah Peterson, and we'll see y'all in just a little bit.

>>Hey everyone, welcome to this Cube's special program series Women of the Cloud, brought to you by aws. I'm your host for the series, Lisa Martin. Very pleased to be joined by Patty Jordan, the VP of enabling processes and technology at Optimus. My next guest, Patty, welcome to the program. >>Hi Lisa. Thank you for having me. >>Tell me a little bit about yourself, a little bit about your role so the audience gets that understanding of exactly who you are. >>Sure thing. Hi, my name is Patty Jordan. As we mentioned, I am originally from Cameroon, Central Africa, but I was raised in the DC area. I'm called and what you call a bank brat. My father worked for an international organization, the the World Bank. Lived in, like I said, grew up in dc, moved to Austin, Texas about seven years ago. Been with Optum for the last nine years of my working career. And I've had multiple roles, but currently my role as is with the enabling technologies and processes, which means that I manage teams that support the platform of a lot of analytics products in Optum. >>Got it. All right. Bank Brett, that's a new one to me. I hadn't heard that. I love that you're a bank, Brit and proud of it. I can tell. Talk to me a little bit about your, the career path that you have navigated and what are some of your sort of tactical and also strategic recommendations for the audiences looking to grow their career in tech? >>So the interesting thing is, I did not start in tech. My background is as an economist. I have a bachelor's of economics from the women, from the College of Women, Mary. I also have a financial master's in public policy from American University. However, I did take some IT classes and as a kid I'm probably dating myself a little bit, but I programmed in dos, so I, I was always excited by it and I had internships as a programmer that helped me pay for my master's degree in when I graduated. I just felt like I was having fun and I was getting paid very well and I was able to pay off my graduate schools. So I just stayed with tech. >>Love that. But it sounds like you had that interest from when you were quite young and as a lot of us and end up in tech, we didn't start there originally. There's a lot of zigzaggy paths to get there. Sounds like you had that as well. What are some of your recommendations for people, either those that are in tech now or aren't who want to get into it and really expand and climb that ladder? >>So definitely, so one of the things to understand is tech could be many different things. Like one of the things could be programming, which I started doing and now dislike intensely. And then another thing could be like being in the business analyst in tech, getting the business requirements versus product management or even, you know, management. And what I would encourage people to do is really focus on what you feel happy doing, which for me is problem solving and collaborating and getting the right people together to solve very complex problems. And if you focus on that then you'll find your, your the role for you even in tech. >>I love that problem solving is such an important skill to be able to have and to cultivate regardless of the industry that you're in. But I'd love to know a little bit more about some of the successes that you've had helping organizations really navigate their cloud journeys, their migration to cloud as we've seen the last couple of years, a massive acceleration to the cloud that was really born outta the pandemic. Talk to me about some of the successes that you've been able to achieve. >>So the first, I guess most obvious thing is understanding the technology. What do you have at your disposal? What do you need for your team to succeed in the cloud or even OnPrem? But what I've learned most in the last four to five years with the projects that I work on, whether it was migrating from a host data center to one that we owned ourselves or migrating from that data center to AWS recently was you really need to get the business organization engaged. And that's not just getting the sponsorship and getting them this to write that check, but really helping them understand how this journey to the cloud is a combined journey between both organizations, right? And they will be able to be more successful as well with us going to the cloud with improved processing with revenue protection because we, there's more tools available with revenue expansion because now we can now expand faster address client needs faster. And you know, so there's various different aspects of going to cloud that are more than just we're using the coolest technology. >>You're a problem solver, has there. And one of the challenges with organizations and from a cloud migration standpoint that we often talk about is it's a cultural migration as well, which is really challenging to do for any type of organization regardless of industry. Do you have a favorite example where as a, as the problem solver, you came in and really helped the organization, the business side understand, be able to transform their cultural direction, understand why cloud migration can be such a facilitator of the business from the top line in a bottom line perspective. >>So from a bottom line perspective, I think the hardest thing for them to understand or what does not compute for them is you can't give them a set. This is what you're gonna cost in the cloud, right? Because the benefit of being in the cloud is being able to scale shrink, et cetera. So that's one hurdle that we're still fighting to be a hundred percent candid. But from a a top line perspective, what's what's been great is we've been able to ramp up more clients with the same, right? So we haven't had to go out and procure more servers, more storage, hire more staff because we're in the cloud and we've actually been able to scale our teams as well because we incorporated the DevOps functions and we do not need a team to manage a data center anymore. So that they absolutely understood, you know, savings ratified, but really just how do we get to market faster? How do we get to revenue faster and how do we get more revenue with the same pool of resources is something that they've really, really resonated with. >>Well, you're starting to speak their language so that to your point that resonates well, but there's so much productivity improvements, efficiencies to be gained by leveraging cloud computing that that really hit the bottom line of an organization that businesses, if you put it in the right way. And it sounds like as the problem solver you have, they understand the immense value and competitive advantage that cloud can bring to their organization and become sort of a ah, the blinders are off. I get it. >>Exactly. Exactly. You're just not trying to, to play with the latest toys, you are actually solving a business problem even before it happens. >>And that's the key solving business problems before they happen. Being able to predict and forecast is huge for businesses, especially as we've seen the last couple of years. Everybody racing to digital, to to pivot, to survive Now to be competitive. If they don't do that and embrace that emerging technology suite, there's a competitor that's right back here that if they're more culturally willing and able to, to be more agile, they're gonna take the place of a competing organization. So yeah, so it absolutely is a huge differentiator for organizations. And it sounds like you've had some great successes there in helping organizations really navigate the challenges, the cultural challenges, but the benefits of cloud computing. Yes. I do wanna talk to you a little bit about in your expertise, diversity is something that is talked about in every industry. We talk about it in tech all the time, there's still challenges there. What are, what's, what are your thoughts on diversity? What are you seeing and what are some of those challenges that are still sitting on the table? >>So I guess the first thing I would say is there's multiple facets to diversity, right? The first one we always lean to is gender and race, but there's also diversity of thought. And being in the healthcare industry is very important for us to have a diversity of thought and experiences so that we can target a lot of these health equity issues that are, you know, that, that are ongoing. So that's one thing that we've, we've been trying to do is making sure that I don't just have people that think like me on the team. And typically that also means not having people that look like me. So making sure that we have the right pipelines to hire for partnering with our, with some of our vendors. AWS for example, is a good one where they had avenues and they had non-profits that they worked with and they connected us with some of our staff augmentation people also did the same thing, really just expanding the scope of where we're looking for talent and, and that helps also bring that diversity of thought and the diversity of gender race into the, into the full >>It is. And it and, and there's also, there's so much data if we follow the data and of course in tech we're all about data. Every company these days, regardless of industry needs to be a data company. If we follow the data, we can see that organizations with, for example, females within the C-suite are far more profitable than those organizations that don't have that even that element of diversity. So the data is demonstrating there's tremendous business value, tremendous competitive advantage, faster time to market, more products and services that can be delivered if there is thought diversity among the entire organization, not just the C-suite. >>Exactly. And and since we have an impact on what is being delivered as an engineering organization, we also need that in engineering, right? One of the things that's very keen right now is machine language and ai. If we don't have the right models for example, then we either introduced bias or perpetuate by it. So we definitely need people on our teams as well that understand how these technologies work, how we can leverage 'em on our data sets so that we could run counter to this bias >>And countering that bias is incredibly important. Machine learning ai, so driven by data, the volumes of data, but the data needs to be as clean and and non-biased as possible. And that's a big challenge for organizations to undertake. Is there advice that you have for those folks watching who might be, I, I don't see me in this organization, I don't feel represented. How can I change that? >>Well, one would be to speak up, right? Even if you don't see you apply for the job, right? And one of the things that we're trying to address even in the DEI space is making sure that our job descriptions are not introducing any biases so that people will eliminate themselves immediately, right? But really just if you have the skill set and you feel like you can ramp up to the talent, then just apply for the job. Talk to somebody. You do have a network whether you realize it or not. So leverage that network. But really like there's this expression that my kid taught me saying, you miss a hundred percent of the shots you don't take, right? So if you don't try, you're not gonna make it by default. If you do try, there's a chance to make it right. At the very least, you build a connection with someone who can potentially help you down the line. >>That is one of my absolute favorite sayings. You miss a hundred percent of the shots that you don't take. So encouraging people to raise their hand there, there are stats, data, speaking of data we've been talking about that, that demonstrate that women are far less likely to apply for jobs like on LinkedIn for example, unless they need 100% of the job requirements, which we all know are quite stringent and not necessary in a lot of cases. So I love your advice of just try raise your hand, ask the question. All the can say is no. And at the end of the day, what is that? It's a word but can also be directional and and really guiding for people on their journey to wherever that, if it's an engineering, cloud, engineering, DevOps, whatever happen that happens to be, raise your hand the question. And to your point, you have a network, it is there, open that up. There's so much potential for people that just raise, I think that's to raise their hand and ask the question. >>And the corollary to that though is I would also encourage people who are in leader leadership roles to be strong allies, right? Like we need to be aware of what biases we might be introducing or candidates that we might be leaving on the table because we're being too stringent because we're not expanding our, our our search, right? So definitely that's something that I've started doing about five, six years old shortly after I moved to Austin, which I kind of beat myself up about not having done before, is really contributing to that community, helping out, being a mentor, being a coach, being a guide. Sometimes it's just reviewing somebody's resume. Other times it's talking to 'em about a role that I have and helping them map their current state to that role. But really just being an ally to everyone and anyone who wants to come into this space. >>I love that. I, and I have a feeling, Patty, that you're a great mentor and ally for those in your organization across organizations and those out there that may not know yet. Patty can be an ally for me. I'd love to get your take in our final minutes on a couple things. One, the, what's next in cloud from your perspective, the things that you've seen, what you've been able to achieve, and how do you see your role evolving in the industry at Optum? >>So what's next in cloud, and we've talked about that a lot, is data. How do we manage all this data? How do we catalog this data, how to reuse this data, how to reshift this data? We have data in various different environments. We're a multi-cloud company. So how do we make sure that we don't have the same data everywhere? Or even if we do, how do we reconcile that? So data, data, data, right? And from data, get to information so that we can monetize it and we can share it. So that's the, that's for me is really next step. I mean we, we know the applications that we can build, we know the analytics that we can build, but if we don't have the right data, we're limiting ourselves. So that's definitely one aspect that I know that we wanna drive. And as far as my role, I was fortunate enough to be provided with the leadership of development of a platform for analytics, which yes, involves data. >>So I'm very excited about this, right? Cuz that's, that's next level for me. I've been typically in roles that protect revenue in the DevOps and operations role. And now I'm in a revenue generating role and it has a shift in mindset. But I, I really appreciate it and I'm really taking everything I've learned up to now as a DevOps team. I knew when the bad things came. So now I'm trying to prevent, prevent my team from pushing bad things down the pipe, right? So I'm just really excited about what's, what's, what's to come because there's so many opportunities for improving the products that we build. And I'm so excited to be part of this platform. >>There are the, the horizon of opportunities is really endless, which is exciting. And to your point about data, like I mentioned, for every company, whether it's your grocery store, a retailer, the postal service has to become a data driven company. Cuz as consumers we expect that we bring that into our business lives and we expect to be able to transact in business as easily as we do on the consumer side. And that all requires organizations to not just have access to data, but to be able to build the right data infrastructure, toing insights to act on that, to feed the AI and ML models so that products services can get better, more personalized and meet the demands of the ever demanding consumer, which I know I, one of them. I wanna ask you one more final question and that is, what do you think some of the biggest challenges have been with, with respect to tech innovation in the workforce over the past five years? What are some of those things that, that you've seen that you think we're on the right track moving forward to eliminate some of these? >>That is a good question. I think one of the biggest challenges for me has been not to remain in the status quo, right? Like not to do something because it's what we've been doing, but being in the cloud allows us with so many opportunities where we can fail fast. That let's give it a shot, let's do a quick sprint, let's figure out whether it is a possibility or not. Eliminate it if it's not, and then keep moving, right? Like we don't have the same development methodology before that we had to do three months, five months, six months. You can iterate in two week chunks, get it done, confirm your, your statement or not, or negate it, but at the very least have an answer, right? So that for me is the biggest challenge. We're aware of the thinking we're just not doing. So it'd be very exciting when we, when we pivot from that and really start innovating because we have the time >>Innovating because we have the time, as I mentioned, you know, with the demand of consumers, whether it's consumer in, in on the personal side, business side, those demands are there. But the, the exciting thing is to your point, the innovations are there. The capabilities are there, the data is there. We have a lot of what we need to be able to take advantage of that. So it's gonna be exciting to see what happens over the next few years. Patty, it's been such a pleasure having you on the cube today. Thank you so much for joining. You are clearly a, a leader in terms of women in the cloud. We appreciate what you're doing, your insights, your recommendations, and your insights as to what you see in the future. You've been a great guest. Thank you so much for joining me today. >>Thank you for having me Lisa. >>My pleasure For Patty Jordan, I'm Lisa Martin. You're watching The Cubes coverage of Women of the Cloud, brought to you by aws, a special program series. We thank you so much for watching. Take care.

>>Hello everyone and welcome back to Motor City, Michigan. We're live from the Cube and my name is Savannah Peterson. Joined this afternoon with my co-host John Ferer. John, how you doing? Doing >>Great. This next segment's gonna be awesome about application modernization, scaling pluses. This is what's gonna, how are the next generation software revolution? It's gonna be >>Fun. You know, it's kind of been a theme of our day today is scale. And when we think about the complex orchestration platform that is Kubernetes, everyone wants to scale faster, quicker, more efficiently, and our guests are here to tell us all about that. Please welcome to Char and Andy, thank you so much for being here with us. You were on the Red Hat OpenShift team. Yeah. I suspect most of our audience is familiar, but just in case, let's give 'em a quick one-liner pitch so everyone's on the same page. Tell us about OpenShift. >>I, I'll take that one. OpenShift is our ES platform is our ES distribution. You can consume it as a self-managed platform or you can consume it as a managed service on on public clouds. And so we just call it all OpenShift. So it's basically Kubernetes, but you know, with a CNCF ecosystem around it to make things more easier. So maybe there's two >>Lights. So what does being at coupon mean for you? How does it feel to be here? What's your initial takes? >>Exciting. I'm having a fantastic time. I haven't been to coupon since San Diego, so it's great to be back in person and see old friends, make new friends, have hallway conversations. It's, it's great as an engineer trying to work in this ecosystem, just being able to, to be in the same place with these folks. >>And you gotta ask, before we came on camera, you're like, this is like my sixth co con. We were like, we're seven, you know, But that's a lot of co coupons. It >>Is, yes. I mean, so what, >>Yes. >>Take us status >>For sure. Where we are now. Compare and contrast co. Your first co con, just scope it out. What's the magnitude of change? If you had to put a pin on that, because there's a lot of new people coming in, they might not have seen where it's come from and how we got here is maybe not how we're gonna get to the next >>Level. I've seen it grow tremendously since the first one I went to, which I think was Austin several years ago. And what's great is seeing lots of new people interested in contributing and also seeing end users who are trying to figure out the best way to take advantage of this great ecosystem that we have. >>Awesome. And the project management side, you get the keys to the Kingdom with Red Hat OpenShift, which has been successful. Congratulations by the way. Thank you. We watched that grow and really position right on the wave. It's going great. What's the update on on the product? Kind of, you're in a good, good position right now. Yeah, >>No, we we're feeling good about it. It's all about our customers. Obviously the fact that, you know, we have thousands of customers using OpenShift as the cloud native platform, the container platform. We're very excited. The great thing about them is that, I mean you can go to like OpenShift Commons is kind of a user group that we run on the first day, like on Tuesday we ran. I mean you should see the number of just case studies that our customers went through there, you know? And it is fantastic to see that. I mean it's across so many different industries, across so many different use cases, which is very exciting. >>One of the things we've been reporting here in the Qla scene before, but here more important is just that if you take digital transformation to the, to its conclusion, the IT department and developers, they're not a department to serve the business. They are the business. Yes. That means that the developers are deciding things. Yeah. And running the business. Prove their code. Yeah. Okay. If that's, if that takes place, you gonna have scale. And we also said on many cubes, certainly at Red Hat Summit and other ones, the clouds are distributed computer, it's distributed computing. So you guys are focusing on this project, Andy, that you're working on kcp. >>Yes. >>Which is, I won't platform Kubernetes platform for >>Control >>Planes. Control planes. Yes. Take us through, what's the focus on why is that important and why is that relate to the mission of developers being in charge and large scale? >>Sure. So a lot of times when people are interested in developing on Kubernetes and running workloads, they need a cluster of course. And those are not cheap. It takes time, it takes money, it takes resources to get them. And so we're trying to make that faster and easier for, for end users and everybody involved. So with kcp, we've been able to take what looks like one normal Kubernetes and partition it. And so everybody gets a slice of it. You're an administrator in your little slice and you don't have to ask for permission to install new APIs and they don't conflict with anybody else's APIs. So we're really just trying to make it super fast and make it super flexible. So everybody is their own admin. >>So the developer basically looks at it as a resource blob. They can do whatever they want, but it's shared and provisioned. >>Yes. One option. It's like, it's like they have their own cluster, but you don't have to go through the process of actually provisioning a full >>Cluster. And what's the alternative? What's the what's, what's the, what's the benefit and what was the alternative to >>This? So the alternative, you spin up a full cluster, which you know, maybe that's three control plane nodes, you've got multiple workers, you've got a bunch of virtual machines or bare metal, or maybe you take, >>How much time does that take? Just ballpark. >>Anywhere from five minutes to an hour you can use cloud services. Yeah. Gke, E Ks and so on. >>Keep banging away. You're configuring. Yeah. >>Those are faster. Yeah. But it's still like, you still have to wait for that to happen and it costs money to do all of that too. >>Absolutely. And it's complex. Why do something that's been done, if there's a tool that can get you a couple steps down the path, which makes a ton of sense. Something that we think a lot when we're talking about scale. You mentioned earlier, Tohar, when we were chatting before the cams were alive, scale means a lot of different things. Can you dig in there a little bit? >>Yeah, I >>Mean, so when, when >>We talk about scale, >>We are talking about from a user perspective, we are talking about, you know, there are more users, there are more applications, there are more workloads, there are more services being run on Kubernetes now, right? So, and OpenShift. So, so that's one dimension of this scale. The other dimension of the scale is how do you manage all the underlying infrastructure, the clusters, the name spaces, and all the observability data, et cetera. So that's at least two levels of scale. And then obviously there's a third level of scale, which is, you know, there is scale across not just different clouds, but also from cloud to the edge. So there is that dimension of scale. So there are several dimensions of this scale. And the one that again, we are focused on here really is about, you know, this, the first one that I talk about is a user. And when I say user, it could be a developer, it could be an application architect, or it could be an application owner who wants to develop Kubernetes applications for Kubernetes and wants to publish those APIs, if you will, and make it discoverable and then somebody consumes it. So that's the scale we are talking about >>Here. What are some of the enterprise, you guys have a lot of customers, we've talked to you guys before many, many times and other subjects, Red Hat, I mean you guys have all the customers. Yeah. Enterprise, they've been there, done that. And you know, they're, they're savvy. Yeah. But the cloud is a whole nother ballgame. What are they thinking about? What's the psychology of the customer right now? Because now they have a lot of choices. Okay, we get it, we're gonna re-platform refactor apps, we'll keep some legacy on premises for whatever reasons. But cloud pretty much is gonna be the game. What's the mindset right now of the customer base? Where are they in their, in their psych? Not the executive, but more of the the operators or the developers? >>Yeah, so I mean, first of all, different customers are at different levels of maturity, I would say in this. They're all on a journey how I like to describe it. And in this journey, I mean, I see a customers who are really tip of the sphere. You know, they have containerized everything. They're cloud native, you know, they use best of tools, I mean automation, you know, complete automation, you know, quick deployment of applications and all, and life cycle of applications, et cetera. So that, that's kind of one end of this spectrum >>Advanced. Then >>The advances, you know, and, and I, you know, I don't, I don't have any specific numbers here, but I'd say there are quite a few of them. And we see that. And then there is kind of the middle who are, I would say, who are familiar with containers. They know what app modernization, what a cloud application means. They might have tried a few. So they are in the journey. They are kind of, they want to get there. They have some other kind of other issues, organizational or talent and so, so on and so forth. Kinds of issues to get there. And then there are definitely the quota, what I would call the lag arts still. And there's lots of them. But I think, you know, Covid has certainly accelerated a lot of that. I hear that. And there is definitely, you know, more, the psychology is definitely more towards what I would say public cloud. But I think where we are early also in the other trend that I see is kind of okay, public cloud great, right? So people are going there, but then there is the so-called edge also. Yeah. That is for various regions. You, you gotta have a kind of a regional presence, a edge presence. And that's kind of the next kind of thing taking off here. And we can talk more >>About it. Yeah, let's talk about that a little bit because I, as you know, as we know, we're very excited about Edge here at the Cube. Yeah. What types of trends are you seeing? Is that space emerges a little bit more firmly? >>Yeah, so I mean it's, I mean, so we, when we talk about Edge, you're talking about, you could talk about Edge as a, as a retail, I mean locations, right? >>Could be so many things edges everywhere. Everywhere, right? It's all around us. Quite literally. Even on the >>Scale. Exactly. In space too. You could, I mean, in fact you mentioned space. I was, I was going to >>Kinda, it's this world, >>My space actually Kubernetes and OpenShift running in space, believe it or not, you know, So, so that's the edge, right? So we have Industrial Edge, we have Telco Edge, we have a 5g, then we have, you know, automotive edge now and, and, and retail edge and, and more, right? So, and space, you know, So it's very exciting there. So the reason I tag back to that question that you asked earlier is that that's where customers are. So cloud is one thing, but now they gotta also think about how do I, whatever I do in the cloud, how do I bring it to the edge? Because that's where my end users are, my customers are, and my data is, right? So that's the, >>And I think Kubernetes has brought that attention to the laggards. We had the Laed Martin on yesterday, which is an incredible real example of Kubernetes at the edge. It's just incredible story. We covered it also wrote a story about it. So compelling. Cuz it makes it real. Yes. And Kubernetes is real. So then the question is developer productivity, okay, Things are starting to settle in. We've got KCP scaling clusters, things are happening. What about the tool chains? And how do I develop now I got scale of development, more code coming in. I mean, we are speculating that in the future there's so much code in open source that no one has to write code anymore. Yeah. At some point it's like this gluing things together. So the developers need to be productive. How are we gonna scale the developer equation and eliminate the, the complexity of tool chains and environments. Web assembly is super hyped up at this show. I don't know why, but sounds good. No one, no one can tell me why, but I can kind of connect the dots. But this is a big thing. >>Yeah. And it's fitting that you ask about like no code. So we've been working with our friends at Cross Plain and have integrated with kcp the ability to no code, take a whole bunch of configuration and say, I want a database. I want to be a, a provider of databases. I'm in an IT department, there's a bunch of developers, they don't wanna have to write code to create databases. So I can just take, take my configuration and make it available to them. And through some super cool new easy to use tools that we have as a developer, you can just say, please give me a database and you don't have to write any code. I don't have to write any code to maintain that database. I'm actually using community tooling out there to get that spun up. So there's a lot of opportunities out there. So >>That's ease of use check. What about a large enterprise that's got multiple tool chains and you start having security issues. Does that disrupt the tool chain capability? Like there's all those now weird examples emerging, not weird, but like real plumbing challenges. How do you guys see that evolving with Red >>Hat and Yeah, I mean, I mean, talking about that, right? The software, secure software supply chain is a huge concern for everyone after, especially some of the things that have happened in the past few >>Years. Massive team here at the show. Yeah. And just within the community, we're all a little more aware, I think, even than we were before. >>Before. Yeah. Yeah. And, and I think the, so to step back, I mean from, so, so it's not just even about, you know, run time vulnerability scanning, Oh, that's important, but that's not enough, right? So we are talking about, okay, how did that container, or how did that workload get there? What is that workload? What's the prominence of this workload? How did it get created? What is in it? You know, and what, what are, how do I make, make sure that there are no unsafe attack s there. And so that's the software supply chain. And where Red Hat is very heavily invested. And as you know, with re we kind of have roots in secure operating system. And rel one of the reasons why Rel, which is the foundation of everything we do at Red Hat, is because of security. So an OpenShift has always been secure out of the box with things like scc, rollbacks access control, we, which we added very early in the product. >>And now if you kind of bring that forward, you know, now we are talking about the complete software supply chain security. And this is really about right how from the moment the, the, the developer rights code and checks it into a gateway repository from there on, how do you build it? How do you secure it at each step of the process, how do you sign it? And we are investing and contributing to the community with things like cosign and six store, which is six store project. And so that secures the supply chain. And then you can use things like algo cd and then finally we can do it, deploy it onto the cluster itself. And then we have things like acs, which can do vulnerability scanning, which is a container security platform. >>I wanna thank you guys for coming on. I know Savannah's probably got a last question, but my last question is, could you guys each take a minute to answer why has Kubernetes been so successful today? What, what was the magic of Kubernetes that made it successful? Was it because no one forced it? Yes. Was it lightweight? Was it good timing, right place at the right time community? What's the main reason that Kubernetes is enabling all this, all this shift and goodness that's coming together, kind of defacto unifies people, the stacks, almost middleware markets coming around. Again, not to use that term middleware, but it feels like it's just about to explode. Yeah. Why is this so successful? I, >>I think, I mean, the shortest answer that I can give there really is, you know, as you heard the term, I think Satya Nala from Microsoft has used it. I don't know if he was the original person who pointed, but every company wants to be a software company or is a software company now. And that means that they want to develop stuff fast. They want to develop stuff at scale and develop at, in a cloud native way, right? You know, with the cloud. So that's, and, and Kubernetes came at the right time to address the cloud problem, especially across not just one public cloud or two public clouds, but across a whole bunch of public clouds and infrastructure as, and what we call the hybrid clouds. I think the ES is really exploded because of hybrid cloud, the need for hybrid cloud. >>And what's your take on the, the magic Kubernetes? What made it, what's making it so successful? >>I would agree also that it came about at the right time, but I would add that it has great extensibility and as developers we take it advantage of that every single day. And I think that the, the patterns that we use for developing are very consistent. And I think that consistency that came with Kubernetes, just, you have so many people who are familiar with it and so they can follow the same patterns, implement things similarly, and it's just a good fit for the way that we want to get our software out there and have, and have things operate. >>Keep it simple, stupid almost is that acronym, but the consistency and the de facto alignment Yes. Behind it just created a community. So, so then the question is, are the developers now setting the standards? That seems like that's the new way, right? I mean, >>I'd like to think so. >>So I mean hybrid, you, you're touching everything at scale and you also have mini shift as well, right? Which is taking a super macro micro shift. You ma micro shift. Oh yeah, yeah, exactly. It is a micro shift. That is, that is fantastic. There isn't a base you don't cover. You've spoken a lot about community and both of you have, and serving the community as well as your engagement with them from a, I mean, it's given that you're both leaders stepping back, how, how Community First is Red Hat and OpenShift as an organization when it comes to building the next products and, and developing. >>I'll take and, and I'm sure Andy is actually the community, so I'm sure he'll want to a lot of it. But I mean, right from the start, we have roots in open source. I'll keep it, you know, and, and, and certainly with es we were one of the original contributors to Kubernetes other than Google. So in some ways we think about as co-creators of es, they love that. And then, yeah, then we have added a lot of things in conjunction with the, I I talk about like SCC for Secure, which has become part security right now, which the community, we added things like our back and other what we thought were enterprise features needed because we actually wanted to build a product out of it and sell it to customers where our customers are enterprises. So we have worked with the community. Sometimes we have been ahead of the community and we have convinced the community. Sometimes the community has been ahead of us for other reasons. So it's been a great collaboration, which is I think the right thing to do. But Andy, as I said, >>Is the community well set too? Are well said. >>Yes, I agree with all of that. I spend most of my days thinking about how to interact with the community and engage with them. So the work that we're doing on kcp, we want it to be a community project and we want to involve as many people as we can. So it is a heavy focus for me and my team. And yeah, we we do >>It all the time. How's it going? How's the project going? You feel good >>About it? I do. It is, it started as an experiment or set of prototypes and has grown leaps and bounds from it's roots and it's, it's fantastic. Yeah. >>Controlled planes are hot data planes control planes. >>I >>Know, I love it. Making things work together horizontally scalable. Yeah. Sounds like cloud cloud native. >>Yeah. I mean, just to add to it, there are a couple of talks that on KCP at Con that our colleagues s Stephan Schemanski has, and I, I, I would urge people who have listening, if they have, just Google it, if you will, and you'll get them. And those are really awesome talks to get more about >>It. Oh yeah, no, and you can tell on GitHub that KCP really is a community project and how many people are participating. It's always fun to watch the action live to. Sure. Andy, thank you so much for being here with us, John. Wonderful questions this afternoon. And thank all of you for tuning in and listening to us here on the Cube Live from Detroit. I'm Savannah Peterson. Look forward to seeing you again very soon.

>>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.

>>Hey everyone. Lisa Martin of the cube here, HPE and AMD better together with Shi is the name of our segment. And I'm here with four guests. Please. Welcome Charlie Mulrooney global presales engineering manager at Athi John saws also of Shi joins this global pre-sales technical consultant. And back with me are Terry Richardson, north American channel chief and Dr. John Fry, chief technologist, sustainable transformation at HPE. Welcome gang. Great to have you all here. >>Thank you, Lisa. Thanks. You good to be here? >>All right, Charlie, let's go ahead and start with you. Keeping the earth sustainable and minimizing carbon emissions. Greenhouse gases is a huge priority for businesses, right? Everywhere. Globally. Can you talk Charlie about what Shi is seeing in the marketplace with respect to sustainable? It? >>Sure. So starting about a year and a half, two years ago, we really noticed that our customers certainly our largest enterprise customers were putting into their annual reports, their chairman's letters, their sec filings that they had sustainability initiatives ranging from achieving carbon neutral or carbon zero goals starting with 2050 dates. And then since then we've seen 20, 40, and 2030 targets to achieve net neutrality and RFPs, RFIs that we're fielding. Certainly all now contain elements of that. So this is certainly top of mind for our largest customers, our fortune two 50 and fortune 500 customers. For sure. We're, we're seeing an onslaught of requests for this. We get into many conversations with the folks that are leading these efforts to understand, you know, here's what we have today. What can we do better? What can we do different to help make an impact on those goals? >>So making an impact top of mind, pretty much for everyone, as you mentioned, John SAS, let's bring you into the conversation. Now, when you're in customer conversations, what are some of the things that you talk about with respect tohis approach to sustainability, sustainable it, are you seeing more folks that are implementing things tactically versus strategically what's going on in the customer space? >>Well, so Charlie touched on something really important that, you know, the, the wake up moment for us was receiving, you know, proposal requests or customer meeting requests that were around sustainability. And it was really around two years ago, I suppose, for the first time. And those requests started coming from European based companies, cuz they had a bit of a head start over the us based global companies even. And what we found was that sustainability was already well down the road and that they were doing very interesting things to use renewable energy for data centers utilize the, they were already considering sustainability for new technologies as a high priority versus just performance cost and other factors that you typically have at the top. So as we started working with them, I guess at beginning it was more tactical cuz we really had to find a way to respond. >>We were starting to be asked about our own efforts and in regards to sustainability, we have our headquarters in Somerset and our second headquarters in Austin, Texas, those are lead gold certified. We've been installing solar panels, reducing waste across the company, recycling efforts and so forth charging stations for electric vehicles, all that sort of thing to make our company more sustainable in, in, in our offices and in our headquarters. But it's a lot more than that. And what we found was that we wanted to look to our vast number of, of customers and partners. We have over 30,000 partners that would work with globally and tens of thousands of customers. And we wanted to find best practices and technologies and services that we could talk about with these customers and apply and help integrate together as a, as a really large global reseller and integrator. We can have a play there and bring these things together from multiple partners that we work with to help solve customer problems. And so over time it's become more strategic and we've been as a company building the, the, the, the, the forward efforts through organizing a true formal sustainability team and growing that, and then also reporting for CDP Ecova and so forth. And it's really that all has been coming about in the last couple of years. And we take it very seriously. >>It sounds like, and it also sounds like from the customer's perspective, they're shifting from that tactical, maybe early initial approach to being more strategic, to really enabling sustainable it across their organization. And I imagine from a business driver's perspective, John saws and Charlie, are you hearing customers? You talked about it being part of RFPs, but also where are customers in terms of, we need to have a sustainable it strategy so that we can attract and retain the right investors we can attract and retain customers. Charlie, John, what are your thoughts on that? >>Yeah, that's top of mind with, with all the folks that we're talking to, I would say there's probably a three way tie for the importance of attracting and retaining investors. As you said, plus customers, customers are shopping, their customers are shopping for who has aligned their ESG priorities and sustainable priorities with their own and who is gonna help them with their own reporting of, you know, scope two and ultimately scope three reporting from greenhouse gas emissions and then the attracting and retaining talent. It's another element now of when you're bringing on new talent to your organization, they have a choice and they're thinking with their decision to accept a role or not within your organization of what your strategies are and do they align. So we're seeing those almost interchangeable in terms of priorities with, with the customers we're talking to. And it was a little surprising, cuz it, we thought initially this is really focused on investors attracting the investors, but it really has become quite a bit more than that. And it's been actually very interesting to see the development of that prioritization >>More comprehensive across the organization. Let's bring Dr. John Fry into the conversation and Terry your next. So stay tuned. Dr. Fry, can you talk about HPE and S H I partnering together? What are some of the key aspects of the relationship that help one another support and enable each other's aggressive goals where sustainability is concerned? >>Yeah, it's a great question. And one of the things about the sustainability domain in solving these climate challenges that we all have is we've got to come together and partner to solve them. No one company's going to solve them by themselves and for our collective customers the same way. From an HPE perspective, we bring the expertise on our products. We bring in sustainable it point of view, where we've written many white papers on the topic and even workbooks that help companies implement a sustainable it program. But our direct sales forces can't reach all of our customers. And in many cases we don't have the local knowledge that our business partners like Shi bring to the table. So they extend the reach, they bring their own expertise. Their portfolio that they offer to the customer is wider than just enterprise products. So by working together, we can do a better job of helping the customer meet their own needs, give them the right technology solutions and enhance that customer experience because they get more value from us collectively. >>It really is better together, which is in a very appropriate name for our segment here. Terry, let's bring you into the conversation. Talk to us about AMD. How is it helping customers to create that sustainable it strategy? And what are some of the differentiators that what AMD is doing that, that are able to be delivered through partners like Shi? >>Well, Lisa, you used the word enabling just a short while ago. And fundamentally AMD enables HPE and partners like Shi to bring differentiated solutions to customers. So in the data center space, we began our journey in 2017 with some fundamental design elements for our processor technology that were really keenly focused on improving performance, but also efficiency. So now the, the most common measure that we see for the types of customers that Charlie and John were talking about is really that measure of performance per wat. And you'll continue to see AMD enabled customers to, to try to find ways to, to do more in a sustainable way within the constraints that they may be facing, whether it's availability of power data center space, or just needing to meet overall sustainability goals. So we have skills and expertise and tools that we make available to HPE and two Shi to help them have even stronger differentiated conversations with customers. >>Sounds like to me, Terry, that it's, that AMD can be even more of an more than an enabler, but really an accelerator of what customers are able to do from a strategic perspective on sustainability. >>You you're right about that. And, and we actually have tools, greenhouse gas, TCO tools that can be leveraged to really quantify the impact of some of the, the new technology decisions that customers are making to allow them to achieve their goals. So we're really proud of the work that we're doing in partnership with companies like HPE and Shi >>Better together. As we said at the beginning in just a minute ago, Charlie, let's bring you back in, talk to us a little bit about what Shi is doing to leverage sustainable it and enable your customers to meet their sustainability goals and their initiatives. >>So for quite a while, we've had some offerings to help customers, especially in the end user compute side. A lot of customers were interested in, I've got assets for, you know, let's say a large sales force that had been carrying tablets or laptops and, you know, those need to be refreshed. What do I do with those? How do I responsibly retire or recycle those? And we've been offering solutions for that for quite some time. It's within the last year or two, when we started offering for them guarantees and assurances assurances of how they can, if that equipment is reusable by somebody else, how can we issue them? You know, credits for carbon credits for reuse of that equipment somewhere else. So it's not necessarily going to be e-waste, it's something that can be recycled and reused. We have other programs with helping extend the life of, of some systems where they look at well, I have a awful lot of data on these machines where historically they might want to just retire those because the, the, the sensitivity of the data needed to be handled very specifically. We can help them properly remove the sensitive data and still allow reuse of that equipment. So we've been able to come up with some creative solutions specifically around end user compute in the past, but we are looking to new ways now to really help extend that into data center infrastructure and beyond to really help with what are the needs, what are the, the best ways to help our customers handle the things that are challenging them. >>That's a great point that you bring up. Charlie and security kind of popped into my head here, John Saul's question for you when you're in customer conversations and you're talking about, or maybe they're talking about help us with waste reduction with recycling, where are you having those customer conversations? Cause I know sustainability is a board level, it's a C level discussion, but where are you having those conversations within the customer organization? >>Well, so it's a, it's a combination of organizations within the customer. These are these global organizations. Typically when we're talking about asset life cycle management, asset recovery, how do you do that in a sustainable green way and securely the customers we're dealing with? I mean, security is top sustainability is right up there too. O obviously, but Charlie touched on a lot of those things and these are global rollouts, tens of thousands of employees typically to, to have mobile devices, laptops, and phones, and so forth. And they often are looking for a true managed service around the world that takes into consideration things like the most efficient way to ship products to, to the employees. And how do you do that in a sustainably? You need to think about that. Does it all go to a central location or to each individual's home during the pandemic that made a lot of sense to do it that way? >>And I think the reason I wanted to touch on those things is that, well for, for example, one European pharmaceutical that states in their reports that they're already in scope one in scope two they're fully net zero at this point. And, and they say, but that only solves 3% of our overall sustainability goals. 97% is scope three, it's travel, it's shipping. It's, it's, it's all the, the, all these things that are out of their direct control a lot of times, but they're coming to us now as a, as a supplier and as, and, and we're filling out, you know, forms and RFPs and so forth to show that we can be a sustainable supplier in their supply chain because that's their next big goal >>Sustain sustainable supply chain. Absolutely. Yes. Dr. John Fry and Terry, I want to kind of get your perspectives. Charlie talked about from a customer requirements perspective, customers coming through RFP saying, Hey, we've gotta work with vendors who have clear sustainability initiatives that are well underway, HPE and AMD hearing the same thing Dr. Fry will start with you. And then Terry >>Sure, absolutely. We receive about 2,500 customer questionnaires just on sustainability every year. And that's come up from a few hundred. So yeah, absolutely accelerating. Then the conversations turn deeper. Can you help us quantify our carbon emissions and power consumption? Then the conversation has recently gone even further to when can HPE offer net zero or carbon neutral technology solutions to the customer so that they don't have to account for those solutions in their own carbon footprint. So the questions are getting more sophisticated, the need for the data and the accuracy of the data is climbing. And as we see potential regulatory disclosure requirements around carbon emissions, I think this trend is just gonna continue up. >>Yeah. And we see the same thing. We get asked more and more from our customers and partners around our own corporate sustainability goals. But the surveying that survey work that we've done with customers has led us to, you know, understand that, you know, approximately 75% of customers are gonna make sustainability goals, a key component of their RFIs in 2023, which is right around the corner. And, and, you know, 60% of those same customers really expect to have business level KPIs in the new year that are really related to sustainability. So this is not just a, a kind of a buzzword topic. This is, this is kind of business imperatives that, you know, the company, the companies like HPE and AMD and the partners like I, that really stand behind it and really are proactive in getting out in front of customers to help are really gonna be ahead of the game. >>That's a great point that you make Terry there that this isn't, we're not talking about a buzzword here. We're talking about a business imperative for businesses of probably all sizes across all industries and Dr. Far, you mentioned regulations. And something that we just noticed is that the S E C recently said, it's proposing some rules where companies must disclose greenhouse gas emissions. If they were, if that were to, to come into play, I'm gonna pun back to Charlie and John saws. How would Shi and, and frankly at HPE and AMD be able to help companies comply if that type of regulation were to be implemented. Charlie. >>Yeah. So we are in the process right now of building out a service to help customers specifically with that, with the reporting, we know reporting is a challenge. The scope two reporting is a challenge and scope three that I guess people thought was gonna be a ways out now, all of a sudden, Hey, if you have made a public statement that you're going to make an impact on your scope three targets, then you have to report on them. So that, that has become really important very quickly as word about this requirement is rumbling around there's concern. So we are actually working right now on something it's a little too early to fully disclose, but stay tuned, cuz we have something coming. That's interesting. >>Definitely PED my, my ears are, are, are perk here. Charlie, we'll stay tuned for that. Dr. Fry. Terry, can you talk about together with Shi HPE and AMD enabling customers to manage access to the da data obviously, which is critical and it's doing nothing but growing and proliferating key folks need access to it. We talked a little bit about security, but how are from a better together perspective, Dr. Fry will start with you, how are you really helping organizations on that sustainability journey to ensure that data can be accessible to those who need it when they need it? And at these days what it's real time requirements. >>Yeah. It's, it's an increasing challenge. In fact, we have changed the H HP story the way we talk about H HP's value proposition to talk about data first modernization. So how often do you collect data? Where do you store it? How do you avoid moving it? How do you make sure if you're going to collect data, you get insights from that data that change your business or add business value. And then how long do you retain that data afterward and all of that factors into sustainable it, because when I talk to technology executives, what they tell me again, and again, is there's this presumption within their user community, that storage is free. And so when, when they have needs for collecting data, for example, if, if once an hour would do okay, but the system would collect it once a minute, the default, the user asks for of course, once a minute. And then are you getting insights from that data? Or are we moving it that becomes more important when you're moving data back and forth between the public cloud or the edge, because there is quite a network penalty for moving that equipment across your network. There's huge power and carbon implications of doing that. So it's really making a better decision about what do we collect, why do we collect it, what we're gonna do with it when we collect and how we store it. >>And, and for years, customers have really talked about, you know, modernization and the need to modernize their data center. You know, I, I fundamentally believe that sustainability is really that catalyst to really drive true modernization. And as they think forward, you know, when we work with, with HPE, you know, they offer a variety of purpose-built servers that can play a role in, you know, specific customer workloads from the largest, super computers down to kind of general purpose servers. And when we work with partners like Shi, not only can they deliver the full suite of offerings for on premise deployments, they're also very well positioned to leverage the public cloud infrastructure for those workloads that really belong there. And, and that certainly can help customers kind of achieve an end to end sustainability goal. >>That's a great point that, that it needs to be strategic, but it also needs to be an end to end goal. We're just about out of time, but I wanted to give John saws the last word here, take us out, John, what are some of the things Charlie kind of teased some of the things that are coming out that piqued my interest, but what are some of the things that you are excited about as HPE AMD and Shi really help customers achieve their sustainability initiatives? >>Sure. Couple comments here. So Charlie, yeah, you touched on some upcoming capabilities that Shi will have around the area of monitoring and management. See, this is difficult for all customers to be able to report in this formal way. This is a train coming at everybody very quickly and they're not ready. Most customers aren't ready. And if we can help as, as a reseller integrator assessments, to be able to understand what they're currently running compare to different scenarios of where they could go to in a future state, that seems valuable if we can help in that way. That's, those are things that we're looking into specifically, you know, greenhouse gas, emissions, relevant assessments, and, and, and within the comments of, of, of Terry and, and John around the, the power per wat and the vast portfolio of, of technologies that they, that they had to address various workloads is, is fantastic. >>We'd be able to help point to technologies like that and move customers in that direction. I think as a, as an integrator and a technical advisor to customers, I saw an article on BBC this morning that I, I, I think if, if we think about how we're working with our customers and we can help them maybe think differently about how they're using their technology to solve problems. The BBC article mentioned this was Ethereum, a cryptocurrency, and they have a big project called merge. And today was a go live date. And BBC us news outlets have been reporting on it. They basically changed the model from a model called power of work, which takes a, a lot of compute and graphic, GPU power and so forth around the world. And it's now called power of stake, which means that the people that validate that their actions in this environment are correct. >>They have to put up a stake of their own cryptocurrency. And if they're wrong, it's taken from them. This new model reduces the emissions of their environment by 99 plus percent. The June emissions from Ethereum were, it was 120 telos per, per year, a Terra terat hours per year. And they reduced it actually, that's the equivalent of what the net Netherlands needed for energy, so comparable to a medium sized country. So if you can think differently about how to solve problems, it may be on-prem, it may be GreenLake. It may be, it may be the public cloud in some cases or other, you know, interesting, innovative technologies that, that AMD HPE, other partners that we can bring in along, along with them as well, we can solve problems differently. There is a lot going on >>The opportunities that you all talked about to really make such a huge societal impact and impact to our planet are exciting. We thank you so much for talking together about how HPE AMD and SSHA are really working in partnership in synergy to help your customers across every organization, really become much more focused, much more collaborative about sustainable it. Guys. We so appreciate your time and thank you for your insights. >>Thank you, Lisa. Thank you. My >>Pleasure. Thank you, Lisa. You're watching the cube, the leader in high tech enterprise coverage.

foreign [Music] Lisa Martin of the cube here hpe and AMD better together with Shi is the name of our segment and I'm here with four guests please welcome Charlie mulrooney Global pre-sales engineering manager at SHI John saw is also of shi joins us Global pre-sales Technical consultant and back with me are Terry Richardson North American Channel Chief and Dr John Fry Chief technologist of sustainable transformation at hpe welcome gang great to have you here all here Thank you Lisa thank you good to be here all right Charlie let's go ahead and start with you keeping the Earth sustainable and minimizing carbon emissions greenhouse gases is a huge priority for businesses right everywhere globally can you talk truly about what Shi is seeing in the marketplace with respect to sustainable I.T sure so starting about a year and a half two years ago we really noticed that our customers certainly our largest Enterprise customers were putting into their annual reports their Chairman's letters their SEC filings that they had sustainability initiatives ranging from achieving carbon neutral uh or carbon zero goals starting with 20 50 dates and then since then we've seen 20 40 and 2030 targets to achieve net neutrality and rfps rfis that we're Fielding certainly all now contain elements of that so this is certainly top of mind for our largest customers our Fortune 250 and Fortune 500 customers for sure where we're seeing an onslaught of requests for this we get into many conversations with the folks that are leading these efforts to understand you know here's what we have today what can we do better what can we do different to help make it an impact on those goals so making an impact top of Mind pretty much for everyone as you mentioned John Sal's let's bring you into the conversation now when you're in customer conversations what are some of the things that you talk about with respect to shi's approach to sustainability sustainable I.T are you seeing more folks that are implementing things tactically versus strategically what's going on in the customer space well so Charlie touched on something really important that you know the the wake-up moment for us was receiving you know proposal requests or customer meeting requests that were around sustainability and it was really around two years ago I suppose for the first time and those requests started coming from european-based companies because they had a bit of a head start uh over the U.S based global companies even um and what we found was that sustainability was already well down the road and that they were doing very interesting things to uh use renewable energy for data centers uh utilized they were already considering sustainability for new technologies as a high priority versus just performance costs and other factors that you typically had at the top so as we started working with them uh I guess that beginning was more tactical because we really had to find a way to respond uh we were starting to be asked about our own efforts and in regards to sustainability we have our headquarters in Somerset and our second Headquarters in Austin Texas um those are the gold certified we've been installing solar panels producing waste across the company recycling efforts and so forth charging stations for electric vehicles all that sort of thing to make our company more sustainable in in uh in our offices and in our headquarters um but it's a lot more than that and what we found was that we wanted to look to our vast number of supply of customers and partners we have over 30 000 partners that would work with globally and tens of thousands of customers and we wanted to find best practices and Technologies and services that we could uh talk about with these customers and apply and help integrate together as a as a really large Global uh reseller and integrator we can have a play there and bring these things together from multiple uh partners that we work with to help solve customer problems and so over time it's become more strategic and we've been uh as a company building the uh the the the forward efforts through organizing a true formal sustainability team and growing that um and then also reporting for CDP echovatus and so forth and it's really that all has been coming about in the last couple of years and we take it very seriously it sounds like it also sounds like from the customer's perspective they're shifting from that tactical maybe early initial approach to being more strategic to really enabling sustainable I.T across their organization and I imagine from a business driver's perspective John saws and Charlie are you hearing customers you talked about it being part of rfps but also where are customers in terms of we need to have a sustainable I.T strategy so that we can attract and retain the right investors we can attract and retain customers Charlie John what are your thoughts on that yeah that's top of mind with uh with all the folks that we're talking to uh I would say there's probably a three-way tie for the importance of uh attracting and retaining investors as you said plus customers customers are shopping their customers are shopping for who has aligned their ESG priorities in sustainable priorities uh with their own and who is going to help them with their own reporting of you know spoke to and ultimately scope three reporting from greenhouse gas emissions and then the attracting and retaining Talent uh it's another element now of when you're bringing on a new talent to your organization they have a choice and they're thinking with their decision to accept a role or not within your organization of what your strategies are and do they align so we're seeing those almost interchangeable in terms of priorities with with the customers we're talking to it was a little surprising because we thought initially this is really focused on investors attracting the investors but it really has become quite a bit more than that and it's been actually very interesting to see the development of that prioritization more comprehensive across the organization let's bring Dr John Fry into the conversation and Terry your neck so stay tuned Dr Frey can you talk about hpe and Shia partnering together what are some of the key aspects of the relationship that help one another support and enable each other's aggressive goals where sustainability is concerned yeah it's a great question and one of the things about the sustainability domain in solving these climate challenges that we all have is we've got to come together and partner to solve them no one company's going to solve them by themselves and for our Collective customers the same way from an hpe perspective we bring the expertise on our products we bring in a sustainable I.T point of view where we've written many white papers on the topic and even workbooks that help companies Implement a sustainable I.T program but our direct sales forces can't reach all of our customers and in many cases we don't have the local knowledge that our business partners like Shi bring to the table so they extend the reach they bring their own expertise their portfolio that they offer to the customer is wider than just Enterprise Products so by working together we can do a better job of helping the customer meet their own needs give them the right Technology Solutions and enhance that customer experience it's because they get more value from us collectively it really is better together which is a very appropriate name for our segment here Terry let's bring you into the conversation talk to us about AMD how is it helping customers to create that sustainable I.T strategy and what are some of the differentiators that what AMD is doing that that are able to be delivered through Partners like Shi well Lisa you use the word enabling um just a short while ago and fundamentally AMD enables hpe and partners like Shi to bring differentiated solutions to customers so in the data center space We Begin our journey in 2017 with some fundamental Design Elements for our processor technology that we're really keenly focused on improving performance but also efficiency so now the the most common measure that we see for the types of customers that Charlie and John were talking about was really that measure of performance per watt and you'll continue to see AMD enable um customers to to try to find ways to to do more in a sustainable way within the constraints that they may be facing whether it's availability of power data center space or just needing to meet overall sustainability goals so we have skills and expertise and tools that we make available to hpe and to Shi to help them have even stronger differentiated conversations with customers sounds like to me Terry that it's that AMD can be even more of an more than an enabler but really an accelerator of what customers are able to do from a strategic perspective on sustainability you're right about that and and we actually have tools greenhouse gas TCO tools that can be leveraged to really quantify the impact of some of the the new technology decisions that customers are making to allow them to achieve their goals so we're really proud of the work that we're doing in partnership with companies like hpe and Shi Better Together as we've said at the beginning and just a minute ago Charlie let's bring you back in talk to us a little bit about what Shi is doing to leverage sustainable I.T and enable your customers to meet their sustainability goals and their initiatives so for quite a while we've had uh some offerings to help customers especially in the end user compute side a lot of customers were interested in I've got assets for you know let's say a large sales force that had been carrying tablets or laptops and you know those need to be refreshed what do I do with those how do I responsibly retire or recycle those and we've been offering solutions for that for quite some time it's within the last year or two when we started offering for them guarantees and Assurance assurances of how they can if that equipment is reusable by somebody else how can we issue them you know credits for uh carving credits for reuse of that equipment somewhere else so it's not necessarily going to be E-Waste it's uh something that can be recycled and reused we have other programs with helping extend the life of of some systems where they look at boy I have an awful lot of data on these machines where historically they might want to just retire those because the the sensitivity of the data needed to be handled very specifically we can help them properly remove the sensitive data and still allow reuse of that equipment so we've been able to accomplish some Creative Solutions specifically around end user compute in the past but we are looking to new ways now to to really help extend that into Data Center infrastructure and Beyond to really help with what are the needs what are the the best ways to help our customers handle the things that are challenging them [Music] that's a great point that you bring up Charlie and the security kind of popped into my head here John saw his question for you when you're in customer conversations and you're talking about or maybe they're talking about help us with waste reduction with recycling where are you having those customer conversations I know sustainability is a board level it's a c-level discussion but where are you having those conversations within the customer organization well so it's a it's a combination of um organizations within the customer these are these Global organizations typically when we're talking about asset like cycle management asset recovery how do you do that in a sustainable Green Way and securely the customers we're dealing with I mean security is top sustainability is right up there too obviously but uh um Charlie touched on a lot of those things and these are Global rollouts tens of thousands of employees typically to to have mobile devices laptops and phones and so forth um and they often are looking for a true managed service around the world that takes into consideration things like the most efficient way to ship products to to the employees and how do you do that in a sustainable way you need to think about that does it all go to a central location um or to each individual's home during the pandemic that made a lot of sense to do it that way I think the reason I wanted to touch on those things is that well for for example one European pharmaceutical that the states and their reports that they are already in scope one in scope two they're fully uh Net Zero at this point and and they say but that only solves three percent of our overall sustainability goals uh 97 is scope three it's travel it's shipping it's it's uh it's all the all these things that are out of their direct control a lot of times but they're coming to us now as a as a supplier and ask and and we're filling out forms and rfps and so forth uh to show that we can be a sustainable supplier in their supply chain because that's their next big goal so sustainable supply chain absolutely Dr John Fry and Terry I want to kind of get your perspectives Charlie talked about from a customer requirements perspective customers coming through RFP saying hey we've got to work with vendors who have clear sustainability initiatives that are well underway hpe and AMD hearing the same thing Dr Fry will start with you and then Terry sure absolutely we receive about 2500 customer questionnaires just on sustainability every year and that's come up from a few hundred so yeah absolutely accelerating then the conversations turn deeper can you help us quantify our carbon emissions and power consumption then the conversation has recently gone even further to when can hpe offer Net Zero or carbon neutral Technology Solutions to the customer so that they don't have to account for those Solutions in their own carbon footprint so the questions are getting more sophisticated the need for the data and the accuracy of the data is climbing and as we see potential regulatory disclosure requirements around carbon emissions I think this trend is just going to continue up yeah and we see the same thing uh we get asked more and more from our customers and partners around our own corporate sustainability goals but the surveying that the survey work that we've done with customers has led us to you know understand that you know approximately 75 percent of customers are going to make sustainability goals a key component of their rfis in 2023 which is right around the corner and you know 60 of those same customers really expect to have business level kpis uh in the new year that are really related to sustainability so this is not just a a kind of a buzzword topic this is this is kind of business imperatives that you know the company the companies like hpe and AMD and the partners like Shi that really stand behind it and really are proactive in getting out in front of customers to help are really going to be ahead of the game that's a great point that you make Terry there that this isn't we're not talking about a buzzword here we're talking about a business imperative for businesses of probably all sizes across all Industries and Dr Farr you mentioned regulations and something that we just noticed is that the SEC recently said it's proposing some rules where companies must disclose greenhouse gas emissions um if they were if that were to to come into play I'm going to come back to Charlie and John saws how would Shi and frankly at hpe and AMD be able to help companies comply if that type of Regulation were to be implemented Charlie yeah so we are in the process right now of building out a service to help customers specifically with that with the reporting we know reporting is a challenge uh the scope 2 reporting is a challenge and scope three that I guess people thought was going to be a ways out now all of a sudden hey if you have made a public statement that you're going to make an impact on your scope three uh targets and you have to report on them so that that has become really important very quickly uh as word about this requirement is rumbling around uh there's concern so we are actually working right now on something it's a little too early to fully disclose but stay tuned because we have something coming that's interesting definitely peaked my ears are are parked here Charlie well stay tuned for that Dr Brian Terry can you talk about together with Shi hpe and AMD enabling customers to manage access to the data obviously which is critical and it's doing nothing but growing and proliferating key folks need access to it we talked a little bit about security but how are from a Better Together perspective Dr Fry will start with you how are you really helping organizations on that sustainability journey to ensure that data can be accessible to those who need it when they need it and these days what is real-time requirements yeah it's an increasing challenge in fact we have changed the HP Story the way we talk about hpe's value proposition to talk about data first modernization so how often do you collect data where do you store it how do you avoid moving it how do you make sure if you're going to collect data you get insights from that data that change your business or add business value and then how long do you retain that data afterward and all of that factors into sustainable I.T because when I talk to technology Executives what they tell me again and again is there's this presumption within their user community that storage is free and so when when they have needs for collecting data for example if if once an hour would do okay but the system would collect it once a minute the default the user asks for of course is once a minute and then are you getting insights from that data or are we moving it that becomes more important when you're moving data back and forth between the public cloud or the edge because there is quite a network penalty for moving that equipment across your network there's huge power and carbon implications of doing that so it's really making a better decision about what do we collect why do we collect it what we're going to do with it when we collect and how we store it and for years customers have really talked about you know modernization and the need to modernize their data center you know I fundamentally believe that sustainability is really that Catalyst to really Drive true modernization and as they think forward um you know when we work with with hpe you know they offer a variety of purpose-built servers that can play a role in you know specific customer workloads from the larger supercomputers down to kind of general purpose servers and when we work with Partners like Shi not only can they deliver the full Suite of um offerings for on-premise deployments they're also very well positioned to leverage the public Cloud infrastructure for those workloads that really belong there and that certainly can help customers kind of achieve an end-to-end sustainability goal that's a great point that that it needs to be strategic but it also needs to be an end-to-end goal we're just about out of time but I wanted to give John saws the last word here take us out John what are some of the things Charlie kind of teased some of the things that are coming out that piqued my interest but what are some of the things that you're excited about as hpe AMD and Shi really help customers achieve their sustainability initiatives sure um a couple of comments here um so Charlie yeah you touched on some upcoming capabilities uh that uh Shi will have around the area of monitoring and management see this is difficult for all customers to be able to report in this formal way this is a train coming at everybody very quickly and um they're not ready most customers aren't ready and if we can help um as as a reseller integrator assessments to be able to understand what they're currently running compared to different scenarios of where they could go to in a future state that seems valuable if we can help in that way that's those are things that we're looking into specifically uh you know greenhouse gas emissions relevant assessments and and um and what in the comments uh of Terry and John around the power per watt and um the vast um uh portfolio of technologies that they that they had to address various workloads is uh is fantastic we'd be able to help point to Technologies like that and move customers in that direction I think as a as an integrator and a technical advisor to customers I saw an article on BBC this morning that I I think if we think about how we're working with our customers and we can help them maybe think differently about how they're using their technology to solve problems um the BBC article mentioned this was ethereum a cryptocurrency and they have a big project called merge and today was a go live date and BBC US news outlets have been reporting on it they basically changed the model from a model called The Power of work which takes a a lot of compute and graphic GPU power and so forth around the world and it's now called a power of stake which means that the people that validate that their actions in this environment are correct they have to put up a stake of their own cryptocurrency and if they're wrong it's taken from them this new model reduces the emissions of their um uh environment by 99 plus percent the June emissions from ethereum were it was 120 uh terawatts per per year terawatt hours per year and they reduced it um actually that's the equivalent of what the Netherlands needed for energy so the comparable to a medium-sized country so if you can think differently about how to solve problems it may be on-prem it may be extremely it may be that may be the public cloud in some cases or other you know interesting Innovative Technologies that the AMD hpe other partners that we can bring in along along with them as well we can solve problems differently there is a lot going on the opportunities that you all talked about to really make such a huge societal impact and impact to our planet are exciting we thank you so much for talking together about how hpe AMD and sha are really working in partnership in Synergy to help your customers across every organization really become much more focused much more collaborative about sustainable I.T guys we so appreciate your time and thank you for your insights Thank you Lisa thank you my pleasure for my guests I'm Lisa Martin in a moment Dan Molina is going to join me he's the co-president and chief technology officer of nth generation you're watching the cube the leader in high tech Enterprise coverage [Music]

(upbeat music) >> Welcome back to San Francisco, "theCUBE" is live, our day two coverage of VMware Explore 2022 continues. Lisa Martin with Dave Nicholson. Dave and I are pleased to welcome Jason Collier, principal member of technical staff at AMD to the program. Jason, it's great to have you. >> Thank you, it's great to be here. >> So what's going on at AMD? I hear you have some juicy stuff to talk about. >> Oh, we've got a ton of juicy stuff to talk about. Clearly the Project Monterey announcement was big for us, so we've got that to talk about. Another thing that I really wanted to talk about was a tool that we created and we call it, it's the VMware Architecture Migration Tool, call it VAMT for short. It's a tool that we created and we worked together with VMware and some of their professional services crew to actually develop this tool. And it is also an open source based tool. And really the primary purpose is to easily enable you to move from one CPU architecture to another CPU architecture, and do that in a cold migration fashion. >> So we're probably not talking about CPUs from Tandy, Radio Shack systems, likely this would be what we might refer to as other X86 systems. >> Other X86 systems is a good way to refer to it. >> So it's interesting timing for the development and the release of a tool like this, because in this sort of X86 universe, there are players who have been delayed in terms of delivering their next gen stuff. My understanding is AMD has been public with the idea that they're on track for by the end of the year, Genoa, next gen architecture. So can you imagine a situation where someone has an existing set of infrastructure and they're like, hey, you know what I want to get on board, the AMD train, is this something they can use from the VMware environment? >> Absolutely, and when you think about- >> Tell us exactly what that would look like, walk us through 100 servers, VMware, 1000 VMs, just to make the math easy. What do you do? How does it work? >> So one, there's several things that the tool can do, we actually went through, the design process was quite extensive on this. And we went through all of the planning phases that you need to go through to do these VM migrations. Now this has to be a cold migration, it's not a live migration. You can't do that between the CPU architectures. But what we do is you create a list of all of the virtual machines that you want to migrate. So we take this CSV file, we import this CSV file, and we ask for things like, okay, what's the name? Where do you want to migrate it to? So from one cluster to another, what do you want to migrate it to? What are the networks that you want to move it to? And then the storage platform. So we can move storage, it could either be shared storage, or we could move say from VSAN to VSAN, however you want to set it up. So it will do those storage migrations as well. And then what happens is it's actually going to go through, it's going to shut down the VM, it's going to take a snapshot, it is going to then basically move the compute and/or storage resources over. And once it does that, it's going to power 'em back up. And it's going to check, we've got some validation tools, where it's going to make sure VM Tools comes back up where everything is copacetic, it didn't blue screen or anything like that. And once it comes back up, then everything's good, it moves onto the next one. Now a couple of things that we've got feature wise, we built into it. You can parallelize these tasks. So you can say, how many of these machines do you want to do at any given time? So it could be, say 10 machines, 50 machines, 100 machines at a time, that you want to go through and do this move. Now, if it did blue screen, it will actually roll it back to that snapshot on the origin cluster. So that there is some protection on that. A couple other things that are actually in there are things like audit tracking. So we do full audit logging on this stuff, we take a snapshot, there's basically kind of an audit trail of what happens. There's also full logging, SYS logging, and then also we'll do email reporting. So you can say, run this and then shoot me a report when this is over. Now, one other cool thing is you can also actually define a change window. So I don't want to do this in the middle of the afternoon on a Tuesday. So I want to do this later at night, over the weekend, you can actually just queue this up, set it, schedule it, it'll run. You can also define how long you want that change window to be. And what it'll do, it'll do as many as it can, then it'll effectively stop, finish up, clean up the tasks and then send you a report on what all was successfully moved. >> Okay, I'm going to go down the rabbit hole a little bit on this, 'cause I think it's important. And if I say something incorrect, you correct me. >> No problem. >> In terms of my technical understanding. >> I got you. >> So you've got a VM, essentially a virtual machine typically will consist of an entire operating system within that virtual machine. So there's a construct that containerizes, if you will, the operating system, what is the difference, where is the difference in the instruction set? Where does it lie? Is it in the OS' interaction with the CPU or is it between the construct that is the sort of wrapper around the VM that is the difference? >> It's really primarily the OS, right? And we've not really had too many issues doing this and most of the time, what is going to happen, that OS is going to boot up, it's going to recognize the architecture that it's on, it's going to see the underlying architecture, and boot up. All the major operating systems that we test worked fine. I mean, typically they're going to work on all the X86 platforms. But there might be instruction sets that are kind of enabled in one architecture that may not be in another architecture. >> And you're looking for that during this process. >> Well usually the OS itself is going to kind of detect that. So if it pops up, the one thing that is kind of a caution that you need to look for. If you've got an application that's explicitly using an instruction set that's on one CPU vendor and not the other CPU vendor. That's the one thing where you're probably going to see some application differences. That said, it'll probably be compatible, but you may not get that instruction set advantage in it. >> But this tool remediates against that. >> Yeah, and what we do, we're actually using VM Tools itself to go through and validate a lot of those components. So we'll look and make sure VM Tools is enabled in the first place, on the source system. And then when it gets to the destination system, we also look at VM Tools to see what is and what is not enabled. >> Okay, I'm going to put you on the spot here. What's the zinger, where doesn't it work? You already said cold, we understand, you can schedule for cold migrations, that's not a zinger. What's the zinger, where doesn't it work? >> It doesn't work like, live migrations just don't work. >> No live, okay, okay, no live. What about something else? What's the oh, you've got that version, you've got that version of X86 architecture, it-won't work, anything? >> A majority of those cases work, where it would fail, where it's going to kick back and say, hey, VM Tools is not installed. So where you would see this is if you're running a virtual appliance from some vendor, like insert vendor here that say, got a firewall, or got something like that, and they don't have VM Tools enabled. It's going to fail it out of the gate, and say, hey, VM Tools is not on this, you might want to manually do it. >> But you can figure out how to fix that? >> You can figure out how to do that. You can also, and there's a flag in there, so in kind of the options that you give it, you say, ignore VM Tools, don't care, move it anyway. So if you've got less, some VMs that are in there, but they're not a priority VM, then it's going to migrate just fine. >> Got It. >> Can you elaborate a little bit on the joint development work that AMD and VMware are doing together and the value in it for customers? >> Yeah, so it's one of those things we worked with VMware to basically produce this open source tool. So we did a lot of the core component and design and we actually engaged VMware Professional Services. And a big shout out to Austin Browder. He helped us a ton in this project specifically. And we basically worked, we created this, kind of co-designed, what it was going to look like. And then jointly worked together on the coding, of pulling this thing together. And then after that, and this is actually posted up on VMware's public repos now in GitHub. So you can go to GitHub, you can go to the VMware samples code, and you can download this thing that we've created. And it's really built to help ease migrations from one architecture to another. So if you're looking for a big data center move and you got a bunch of VMs to move. I mean, even if it's same architecture to same architecture, it's definitely going to ease the pain of going through and doing a migration of, it's one thing when you're doing 10 machines, but when you're doing 10,000 virtual machines, that's a different story. It gets to be quite operationally inefficient. >> I lose track after three. >> Yeah. >> So I'm good for three, not four. >> I was going to ask you what your target market segment is here. Expand on that a little bit and talk to me about who you're working with and those organizations. >> So really this is targeted toward organizations that have large deployments in enterprise, but also I think this is a big play with channel partners as well. So folks out there in the channel that are doing these migrations and they do a lot of these, when you're thinking about the small and mid-size organizations, it's a great fit for that. Especially if they're kind of doing that upgrade, the lift and shift upgrade, from here's where you've been five to seven years on an architecture and you want to move to a new architecture. This is really going to help. And this is not a point and click GUI kind of thing. It's command line driven, it's using PowerShell, we're using PowerCLI to do the majority of this work. And for channel partners, this is an excellent opportunity to put the value and the value add and VAR, And there's a lot of opportunity for, I think, channel partners to really go and take this. And once again, being open source. We expect this to be extensible, we want the community to contribute and put back into this to basically help grow it and make it a more useful tool for doing these cold migrations between CPU architectures. >> Have you seen any in the last couple of years of dynamics, obviously across the world, any industries in particular that are really leading edge for what you guys are doing? >> Yeah, that's really, really interesting. I mean, we've seen it, it's honestly been a very horizontal problem, pretty much across all vertical markets. I mean, we've seen it in financial services, we've seen it in, honestly, pretty much across the board. Manufacturing, financial services, healthcare, we have seen kind of a strong interest in that. And then also we we've actually taken this and presented this to some of our channel partners as well. And there's been a lot of interest in it. I think we presented it to about 30 different channel partners, a couple of weeks back about this. And I got contact from 30 different channel partners that said they're interested in basically helping us work on it. >> Tagging on to Lisa's question, do you have visibility into the AMD thought process around the timing of your next gen release versus others that are competitors in the marketplace? How you might leverage that in terms of programs where partners are going out and saying, hey, perfect time, you need a refresh, perfect time to look at AMD, if you haven't looked at them recently. Do you have any insight into that in what's going on? I know you're focused on this area. But what are your thoughts on, well, what's the buzz? What's the buzz inside AMD on that? >> Well, when you look overall, if you look at the Gartner Hype Cycle, when VMware was being broadly adopted, when VMware was being broadly adopted, I'm going to be blunt, and I'm going to be honest right here, AMD didn't have a horse in the race. And the majority of those VMware deployments we see are not running on AMD. Now that said, there's an extreme interest in the fact that we've got these very cored in systems that are now coming up on, now you're at that five to seven year refresh window of pulling in new hardware. And we have extremely attractive hardware when it comes to running virtualized workloads. The test cluster that I'm running at home, I've got that five to seven year old gear, and I've got some of the, even just the Milan systems that we've got. And I've got three nodes of another architecture going onto AMD. And when I got these three nodes completely maxed to the number of VMs that I can run on 'em, I'm at a quarter of the capacity of what I'm putting on the new stuff. So what you get is, I mean, we worked the numbers, and it's definitely, it's like a 30% decrease in the amount of resources that you need. >> That's a compelling number. >> It's a compelling number. >> 5%, 10%, nobody's going to do anything for that. You talk 30%. >> 30%. It's meaningful, it's meaningful. Now you you're out of Austin, right? >> Yes. >> So first thing I thought of when you talk about running clusters in your home is the cost of electricity, but you're okay. >> I'm okay. >> You don't live here, you don't live here, you don't need to worry about that. >> I'm okay. >> Do you have a favorite customer example that you think really articulates the value of AMD when you're in customer conversations and they go, why AMD and you hit back with this? >> Yeah. Actually it's funny because I had a conversation like that last night, kind of random person I met later on in the evening. We were going through this discussion and they were facing exactly this problem. They had that five to seven year infrastructure. It's funny, because the guy was a gamer too, and he's like, man, I've always been a big AMD fan, I love the CPUs all the way since back in basically the Opterons and Athlons right. He's like, I've always loved the AMD systems, loved the graphics cards. And now with what we're doing with Ryzen and all that stuff. He's always been a big AMD fan. He's like, and I'm going through doing my infrastructure refresh. And I told him, I'm just like, well, hey, talk to your VAR and have 'em plug some AMD SKUs in there from the Dells, HPs and Lenovos. And then we've got this tool to basically help make that migration easier on you. And so once we had that discussion and it was great, then he swung by the booth today and I was able to just go over, hey, this is the tool, this is how you use it, here's all the info. Call me if you need any help. >> Yeah, when we were talking earlier, we learned that you were at Scale. So what are you liking about AMD? How does that relate? >> The funny thing is this is actually the first time in my career that I've actually had a job where I didn't work for myself. I've been doing venture backed startups the last 25 years and we've raised couple hundred million dollars worth of investment over the years. And so one, I figured, here I am going to AMD, a larger corporation. I'm just like, am I going to be able to make it a year? And I have been here longer than a year and I absolutely love it. The culture at AMD is amazing. We still have that really, I mean, almost it's like that underdog mentality within the organization. And the team that I'm working with is a phenomenal team. And it's actually, our EVP and our Corp VP, were actually my executive sponsors, we were at a prior company. They were one of my executive sponsors when I was at Scale. And so my now VP boss calls me up and says, hey, I'm putting a band together, are you interested? And I was kind of enjoying a semi-retirement lifestyle. And then I'm just like, man, because it's you, yes, I am interested. And the group that we're in, the work that we're doing, the way that we're really focusing on forward looking things that are affecting the data center, what's going to be the data center like three to five years from now. It's exciting, and I am having a blast, I'm having the time of my life. I absolutely love it. >> Well, that relationship and the trust that you will have with each other, that bleeds into the customer conversations, the partner conversations, the employee conversations, it's all inextricably linked. >> Yes it is. >> And we want to know, you said three to five years out, like what? Like what? Just general futurist stuff, where do you think this is going. >> Well, it's interesting. >> So moon collides with the earth in 2025, we already know that. >> So we dialed this back to the Pensando acquisition. When you look at the Pensando acquisition and you look at basically where data centers are today, but then you look at where basically the big hyperscalers are. You look at an AWS, you look at their architecture, you specifically wrap Nitro around that, that's a very different architecture than what's being run in the data center. And when you look at what Pensando does, that's a lot of starting to bring what these real clouds out there, what these big hyperscalers are running into the grasps of the data center. And so I think you're going to see a fundamental shift. The next 10 years are going to be exciting because the way you look at a data center now, when you think of what CPUs do, what shared storage, how the networking is all set up, it ain't going to look the same. >> Okay, so the competing vision with that, to play devil's advocate, would be DPUs are kind of expensive. Why don't we just use NICs, give 'em some more bandwidth, and use the cheapest stuff. That's the competing vision. >> That could be. >> Or the alternative vision, and I imagine everything else we've experienced in our careers, they will run in parallel paths, fit for function. >> Well, parallel paths always exist, right? Otherwise, 'cause you know how many times you've heard mainframe's dead, tape's dead, spinning disk is dead. None of 'em dead, right? The reality is you get to a point within an industry where it basically goes from instead of a growth curve like that, it goes to a growth curve of like that, it's pretty flat. So from a revenue growth perspective, I don't think you're going to see the revenue growth there. I think you're going to see the revenue growth in DPUs. And when you actually take, they may be expensive now, but you look at what Monterey's doing and you look at the way that those DPUs are getting integrated in at the OEM level. It's going to be a part of it. You're going to order your VxRail and VSAN style boxes, they're going to come with them. It's going to be an integrated component. Because when you start to offload things off the CPU, you've driven your overall utilization up. When you don't have to process NSX on basically the X86, you've just freed up cores and a considerable amount of them. And you've also moved that to where there's a more intelligent place for that pack to be processed right, out here on this edge. 'Cause you know what, that might not need to go into the host bus at all. So you have just alleviated any transfers over a PCI bus, over the PCI lanes, into DRAM, all of these components, when you're like, but all to come with, oh, that bit needs to be on this other machine. So now it's coming in and it's making that decision there. And then you take and integrate that into things like the Aruba Smart Switch, that's running the Pensando technology. So now you got top of rack that is already making those intelligent routing decisions on where packets really need to go. >> Jason, thank you so much for joining us. I know you guys could keep talking. >> No, I was going to say, you're going to have to come back. You're going to have to come back. >> We've just started to peel the layers of the onion, but we really appreciate you coming by the show, talking about what AMD and VMware are doing, what you're enabling customers to achieve. Sounds like there's a lot of tailwind behind you. That's awesome. >> Yeah. >> Great stuff, thank you. >> It's a great time to be at AMD, I can tell you that. >> Oh, that's good to hear, we like it. Well, thank you again for joining us, we appreciate it. For our guest and Dave Nicholson, I'm Lisa Martin. You're watching "theCUBE Live" from San Francisco, VMware Explore 2022. We'll be back with our next guest in just a minute. (upbeat music)

>>Hello, everyone. Welcome to the cubes coverage, extended coverage of the V IP gala event. Earlier in the day, we were at the Monaco crypto summit, where we had 11 years, all the fault leaders here in MoCo coming together. It's a global event. It's an inner circle. It's a beginning, it's an ELG overall event. It's a kernel of the best of the best from finance entrepreneurship government coming together here with the gala event at the yacht club in Monaco. And we got a great lineup here. We have Sherman elder wish from decentralized investment group here with me. She and I was just talking and we're gonna have a great conversation. Welcome to the cube. Thank >>You so much. Thank you for having me. >>It's kind of our laid back to not only have an anchored desk, but we're kind of have conversations. You know, one of the things that we've been talking about is, you know, the technology innovation around decentralized, right? You've been an entrepreneur 9, 9, 9 years. Yes. Plus you're in a region of the world right now where it's exploding. You're in Dubai. Tell your story. You're in Dubai. There's a lot of action what's happening. >>So to Dubai is, is really the bridge between the east and the west. And it's grown. I've, I've had the privilege of witnessing Dubai's growth for over 16 years now. So I've been based in Dubai for 16 years. I'm originally from Jordan, lived in 11 countries. You can call me a global nomad home is where my suitcases and where I, you know, where I'm, I'm literally with my friends and community and the work that I do. So I've been there and I've witnessed this grow through working with the government there as well. So nine years ago, I jumped into the world of entrepreneurship. I specialize in art and education. Also, I work extensively now in decentralized with decentralized investment group. So we specialize in defi game five and also digital assets. So it's a beautiful time to be in Dubai right now. And witness that growth in web three, there's going to be a summit that's actually happening in September. And so it's attracting all the global leaders there with the government there. So they're really investing in, >>You know, the date on that. >>Sorry, >>You know the date on that? Yeah. Oh, >>September. They're going to be September, either 27th or >>28th. So later in the month, >>Yes. Later in the month of September. Okay. So it's very exciting to be a part >>Of that. Well, I love you're on here cause I want, first of all, you look fabulous. Great. Oh, thank you. Great event. Everyone's dressed up here. But one of the things I've been passionate about is women in tech. And I know you've got a project now you're working on this. Yes. Not only because it's it's needed. Yeah, but they're taking over. There's a lot of growth. Absolutely. The young entrepreneurs, young practitioners, absolutely young women all around the world. Absolutely. And we did a five region women in tech on March 7th with Stanford university, amazing. And Amazon web services. And I couldn't believe the stories. So we're gonna do more. And I want to get your take on this because there are stories that need to be told. Absolutely. What are, what are the, some of the stories that you're seeing, some of the, some of the cautionary tales, some of the successes, >>Well, you have, I mean the middle east right now is really a space, especially in Dubai, in the UAE, the growth of women in entrepreneurship, the support that we have from incubators, there, there is a hunger for growth and learning and innovation. And that is the beauty of being there. There are so many incredible stories, not one that I could say right now, but each and every story is exquisite and extraordinary. And what's really amazing is that you have the community there that supports one another, especially women in tech. I'm, I'm actually one of the co-founders of made for you global, which is a tech platform, which attracts entrepreneurship, female entrepreneurs, and really helping them kind of grow to their potential or maximize their potential. And we're actually going to have it on web three as well and integrate it within the blockchain. So there's a lot of, there's a lot of passion for, for growth in women, in tech and, and there's so many incredible stories to come, not just one, so many. And I invite you to come to Dubai so I can introduce you to all >>These incredible. So I'm really glad you're inclusive about men. >>Of course, we're inclusive >>About men, >>You know, men and women. I mean, it's a community that brings together these ideas. >>Yeah. I will say I had to go the microphone one time because I love doing the Stanford women in data science, but they, and we have female, a host. I just wanna do the interviews right there. So smart. I said, Chuck, can we have the female interviews cuz you know, like, okay, but they included me. Oh yes. But in all serious. Now this is a major force because women entrepreneurship make up 50% of the, the target audience of all products. Absolutely. So if, why, why isn't there more developers and input into the products and policies, right? That shape our society. This has been one of those head scratching moments and we're making progress, but not fast enough. >>Absolutely. And you know what, especially after COVID, so after COVID we all learned the lessons of the hybrid models of being more flexible of being more innovative of being making use of our time more effectively. And we've witnessed like an increase in women in tech over the years and especially in web three and decentralized investment group invest heavily into women and in tech as well, >>Give some examples of some things you're working on right now, projects you're investing in. So >>We're, well, everything that we do is inclusive of women. So with game five, for example, we specialize greatly in game five through our subsidiary company, based in the us, it's called X, Y, Z, Z Y it's gaming. And actually many of our creative team are women who are the developers behind the scenes who are bringing it to life. A lot of basically we're trying to educate the public as well about how to get meta mask wallets and to enter into this field. It's all about education and growing that momentum to be able to be more and more inclusive. >>Do you think you can help us get a cube host out there? Of course, of course they gotta be dynamic. Of course smart of course and no teleprompter of >>Course. And we would love for you to come so that we can really introduce you to >>All well now, now that COVID is over. We got a big plan on going cube global, digging it out in 2019, we had London, Bahrain, Singapore, amazing Dubai, Korea. Amazing. And so we wanted to really get out there and create a node, right? And open source kind of vibe where right. The folks all around the world can connect through the network effects. And one thing I noticed about the women in tech, especially in your area is the networking is really high velocity. Absolutely people like the network out there is that, do you see that as well? Absolutely. >>Because it's a, it's a city of transition, you know? So that's the beauty of Dubai, it's positioning power. And also it's a very innovative hub. And so with all of these summits that are coming up, it's attracting the communities and there's lots of networking that happens there. And I think more and more we're seeing with web three is that it is all about the community. It's all about bringing everyone together. >>Well, we got people walking through the sets. See, that's the thing that about a cocktail party. You got people walking through the set that's good. Made, had some color. Rachel Wolfson is in the house. Rachel is here. That's Rachel Woodson. If you didn't recognize her she's with coin Telegraph. Oh bless. I don't know who they, the Glo is as they say, but that's how he went cool to me. All right. So betting back to kinda what you're working on. Have you been to Silicon valley lately? Because you're seeing a lot of peering where people are looking at web three and saying, Hey, Silicon valley is going through a transition too. You're seeing beacons of outposts, right? Where you got people moving to Miami, you got Dubai, you got Singapore, you got, you know, Japan, all these countries. Now there's a, there's a network effect. >>Absolutely. It's all about. And honestly, when I see, I mean, I've been to Miami so many times this year for all the web three events and also in Austin and GTC as well. And what you see is that there is this ripple effect that's happening and it is attracting more and more momentum because the conversations are there and the openness to work together. It's all about partnerships and collaboration. This is a field which is based on collaboration communities. >>Awesome. What are some of the advice advice you have for women out there that are watching around being an entrepreneur? Because we were talking before we came on camera about it's hard. It's not easy. It's not for the faint of heart. Yeah. As Theresa Carlson, a friend of mine used, used to say all the time entrepreneurship was a rollercoaster. Of course, what's your advice don't give up or stay strong. What's your point of view? >>Honestly, if you're passionate about what you do. And I know it sounds very cliche. It's really important to stay focused, moving forward, always. And really it's about partnerships. It's about the ability to network. It's the ability to fail as well. Yeah. And to learn from your mistakes and to know when to ask for help. A lot of the times, you know, we shy away from asking for help or because we're embarrassed, but we need to be more open to failing, to growing and to also collaborating with one another. >>Okay. So final question for you while I got, by the way, you're an awesome guest. Oh, thank you. What are you what's next for you? What are you working on right now? Next year? What's on your goal list. What's your project? What's >>Your top goal? Oh my gosh. >>Top three, >>Top three, definitely immersing myself more into web three. Web three is definitely the future getting made for you global on the ground and running in terms of the networking aspect in a female entrepreneurship, more and more giving back as well. So using web three for social good. So a lot more charitable, innovative kind of campaigns that we hope to host within the web three community to be able to educate, to innovate and also help those that are, that need it the most as >>Well. Shaman, thank you for coming on the cube. I really appreciate it. And thanks for coming on. Thank you >>So much. >>I'm so grateful. Okay. You watching the queue, we're back in the more coverage here at the after party of the event, it's the VIP gala with prince Albert and all the top guests in Monica leaning into crypto I'm John furier. Thanks for watching.

(upbeat music) >> Okay, welcome back everyone to the Cube's live coverage in Monaco. I'm John Furrier, host of theCube. Monaco Crypto Summit is the event and there's a big conversation later at the yacht club with Prince Albert and everyone else will be there, and it'll be quite the scene. And Rachel Wolfson is here. She's with Cointelegraph. They're the media partner of the event, the official media partner of the Monaco Crypto Summit. She's also MCing the event on stage, presented by DigitalBits. Rachel, thanks for coming on. >> Thanks for having me, John. >> So I know you're busy, thanks for taking the time cause' you got to go jump back in and moderate, and keep things on track. This isn't an inaugural event. So DigitalBits has exploded on the scene. I just saw a thing on YouTube news around this soccer player in Rome, has DigitalBits logo on their jersey. They're a big to do cause everyone's popular and they got a couple teams. So real world, kind of, assets coming together, what's going on in the event that you're MCing? What's the focus? What's the agenda? What's some of the conversations like? >> Yeah, definitely. Well, it's a great event. It's my first time here in Monaco and I'm loving it. And I think that Monaco is really becoming the next crypto hotspot. Definitely in terms of Metaverse and Web3 innovation, I think that we're going to start seeing a lot of that here. That's what we're seeing today at the Summit. So a lot of the presentations that we're seeing are really focused on Web3 and NFT platforms, so for instance, obviously what DigitalBits is doing. We watched a video before the break on Ecosystem and the Metaverse that people can join and be a part of, in terms of real estate, but we're seeing a lot of innovation here today with that. I moderated a great panel with Britney Kaiser, Lauren Bissell, Taross, I'm blanking on his last name, but it was about blockchain and how governments are implementing blockchain. So that was also really interesting to hear about what the Ukrainian government is doing with blockchain. So there's kind of a mix, but I'd say that the overall theme is Web3 and NFTs. >> Yeah. Britney was mentioning some of that, how they're going to preserve buildings and artifacts, so that in case they're looted or destroyed, they can preserve them. >> Right. I think it's called the Heritage Fund. And I just think it's such an interesting use case in terms of how governments are using blockchain because the best use for blockchain in my opinion, is recording data, and having that data be permanent. And so when we can have artifacts in Ukraine recorded on the blockchain, you know by being scanned, it's really revolutionary. And I think that a lot of governments around the world are going to see that use case and say, "Oh wow, blockchain is a great technology for things like that." >> So DigitalBits had a press conference this morning and they talked about their exchange and some other things. Did you attend that press conference or did you get briefed on that? >> I did not attend the press conference. I was prepping for my MC role. >> So they got this exchange thing and then there's real interest from Prince Albert's foundations to bring this into Monaco. So Monaco's got this vibe, big time. >> Rachel: Right. There's a vibe (John chuckles) >> What does it all mean, when you're putting in your reporting? What do you see happening? >> So, I mean, I honestly haven't covered Monaco actually ever in my reporting. And John, you know I've been reporting since 2017, but the vibe that I'm getting just from this summit today is that Web3 and NFTs are going to be huge here. I'm speaking, I haven't... You know, there's a panel coming up about crypto regulations, and so we're going to talk a little bit about laws being passed here in Monaco in terms of Metaverse and digital identity. So I think that there are a few laws around that here that they're looking at, the government here is looking at to kind of add clarity for those topics. >> I had a couple guests on earlier. We were talking about the old days, a couple years ago. You mentioned 2017, so much has changed. >> Yes. >> You know, we had a up and down. 2018 was a good year, and then it kind of dived back and changed a little bit. Then NFTs brought it back up again, been a great hype cycle, but also movement. What's your take on the real progress that's been made? If you zoom out and look at the landscape, what's happened? >> Right. I mean, well, a lot has happened. When I first entered the space, I initially came in, I was interested in enterprise, blockchain and private networks being utilized by enterprises to record data. And then we saw public blockchains come in, like Ethereum and enterprises using them. And then we saw a mix. And now I feel like we're just seeing public blockchains and there's really... (John chuckles) But there's still our private blockchains. But today, I mean, we've gone from that in 2017 to right now, I think, you know, we're recently seeing a lot of these centralized exchanges kind of collapsing. What we've seen with Celsius, for instance, and people moving their crypto to hardware wallets. I think that the space is really undergoing a lot of transformation. It's really revolutionary, actually, to see the hardware wallet market is growing rapidly, and I think that that's going to continue to grow. I think centralized exchanges are still going to exist in custody crypto for enterprises and institutions, and you know, in individuals as well. But we are seeing a shift from centralized exchanges to hardware wallets. NFTs, although the space is, you know, not as big as it was a year ago, it's still quite relevant. But I think with the way the market is looking today, we're only seeing the top projects kind of lead the way now, versus all of the noise that we were seeing previously. So yeah, I think it's- >> So corrections, basically? >> Right. Exactly. Corrections. And I think it's necessary, right. It's very necessary. >> Yeah. It's interesting. You know, you mentioned the big players you got Bitcoin, Ethereum driving a lot. I remember interviewing the crypto kiddies when they first came out, it was kind of a first gen Ethereum, and then it just exploded from there. And I remember saying to myself, if the NFTs and the decentralized applications can have that scale, but then it felt like, okay, there was a lot of jocking for under the covers, under the hood, so to speak. And now you've got massive presence from all the VCs, and Jason Ho has like another crypto fund. I mean, >> Right. you can't go a day without another big crypto fund from you know, traditional venture capitalists. Meanwhile, you got investors who have made billions on crypto, they're investing. So you kind of got a diversity of investor base going on and different instruments. So the investor community's changing and evolving too. >> Right. >> How do you see that evolving? >> Well, it's a really good point you mentioned. So Cointelegraph research recently released a report showing that Web3 is the most sought after investment sector this year. So it was DeFi before, and Web3 is now leading the way over DeFi. And so we're seeing a lot of these venture capitalist funds as you mentioned, create funds allocated just to Web3 growth. And that's exactly what we're seeing, the vibe I'm getting from the Monaco Crypto Summit here today, this is all about Web3. It's all about NFT, it is all about the Metaverse. You know, this is really revolutionary. So I think we're definitely going to see that trend kind of, you know, conquer all of these other sectors that we're seeing in blockchain right now. >> Has Web3 become the coin term for Metaverse and NFTs? Or is that being globalized as all shifted, decentralized? What's the read on it? It seems to be like, kind of all inclusive but it tends to be more like NFT's the new thing and the young Gen Zs >> Yeah want something different than the Millennials and the Xs and the Boomers, who screwed everything up for everybody. >> Yeah. (John chuckles) No, I mean, it's a great question. So when I think of Web3, I categorize NFTs and the Metaverse in there. Obviously it's just, you know the new form of the internet. It's the way the internet is- >> Never fight fashion, as I always say, right? >> Right. Yeah. Right. (John chuckles) It's just decentralization. The fact that we can live in these virtual worlds and own our own assets through NFT, it's all decentralized. And in my opinion, that all falls under the category of Web3. >> Well, you're doing a great job MCing. Great to have you on theCube. >> Rachel: Thanks. I'd like to ask you a personal question if you don't mind. COVID's impacted us all with no events. When did you get back onto the events circuit? What's on your calendar? What have you been up to? >> Yeah, so gosh, with COVID, I think when COVID, you know, when it was actually really happening, (John chuckles) and it still is happening. But when it was, you know, >> John: Like, when it was >> impacting- shut down mode. >> Right. When we were shut down, there were virtual events. And then, I think it was late last year or early this year when the events started happening again. So most recently I was at NFT NYC. Before that, I was at Consensus, which was huge. >> Was that the one in Austin or Miami? >> In Austin. >> That's right, Austin. >> Right. Were you there? >> No, I missed it. >> Okay. It was a very high level, great event. >> Huge numbers, I heard. >> Yes. Massive turnout. (John chuckles) Tons of speakers. It was really informative. >> It feels like a festival. actually. >> It was. It was just like South by Southwest, except for crypto and blockchain. (John chuckles) And then coming up, gosh, there are a lot of events. I'll be at an event in Miami, it's an NFT event that's in a few months. I know that there's a summit happening, I think in Turkey that I may be at as well. >> You're on the road. You're traveling. You're doing a lot of hopping around. >> Yes I am. And there's a lot of events happening in Europe. I'm US-based, but I'm hoping to spend more time in Europe just so I can go to those events. But there's a lot happening. >> Yeah. Cool. What's the most important story people should be paying attention to in your mind? >> Wow. That's... (Rachel chuckles) That's a big question. It's a good question. I think most, you know, the transition that we're seeing now, so in terms of prices, I think people need to focus less on the price of Bitcoin and Ethereum and more on innovation that's happening. So for instance, Web3 innovation, what we're seeing here today, you know, innovation, isn't about prices, but it's more about like actually now is the time to build. >> Yeah. because the prices are a bit down. >> Yeah. I mean, as, you know, Lewis Hamilton's F1 driver had a quote, you know, "It takes a team. No matter who's in the driver's seat, it's a team." So community, Wayne Gretzky skates where the puck is going to be I think is much more what I'm hearing now, seeing what you're saying is that don't try to count the price trade of Bitcoin. This is an evolution. >> Right. >> And the dots are connecting. >> Exactly. And like I said, now is the time to build. What we're seeing with the project Britney mentioned, putting the heritage, you know, on the blockchain from Ukraine, like, that's a great use case for what we're seeing now. I want to see more of those real world use cases. >> Right. Well, Rachel, thanks for coming on theCube. I really appreciate it. Great to see you. >> Thanks, John. >> And thanks for coming out of your schedule. I know you're busy. >> Thanks. Now you get some lunchtime now and get some break. >> Yeah. Get back on stage. Thanks for coming on. >> Rachel: Thank you. >> All right. We're here at the Monaco Crypto Summit. Rachel's MCing the event as part of the official media partner, Cointelegraph. Rachel Wolfson here on theCube. I'm John Furrier. More coverage coming after this short break. >> Thank you. (upbeat music)