>> Announcer: From around the globe, it's theCUBE with digital coverage of IBM Think 2021, brought to you by IBM. >> Hi, welcome back to theCUBES coverage of IBM Think 2021 virtual. We're not yet in real life, we're doing another remote interviews with two great guests CUBI alumni. Of course, I'm John for your host of theCUBE. We got Jason MacGee, IBM fellow VP and CTO of IBM's cloud platform and Octavian Tanase senior vice president Hybrid Cloud Engineering at NetApp both CUBE alumni, it's great to see you both. Thanks for coming on theCUBE. >> Yeah, great to be here. >> Thanks for having us. >> So we were just talking before we came on camera that we it feels like we've had this conversation a long time ago we have. Hybrid cloud has been on a trajectory for both of you guys and many times on theCUBE. So now it's mainstream, it's here in the real world, everyone gets it, there's no real debate, now multicloud, people are debating that which means that's right around the corner. So hybrid cloud is here now, Jason this is really the focus and this is also brings together the NetApp in your partnership and talk about the relationship first with hybrid cloud. >> Yeah, I mean, look we've talked a number of times together I think in the industry. Maybe a few years ago people were debating whether hybrid cloud was a real thing, we don't have that conversation anymore. I think enterprises today, especially maybe in the face of COVID and kind of how we work differently now realize that their cloud journey is going to be a mix of on-prem and off-prem systems probably going to be a mix of multiple public cloud providers. And what they're looking for now is how do I do that? And how do I manage that hybrid environment? How do I have a consistent platform across the different environments I want to operate in? And then how do I get more and more of my workload into those environments? And it's been interesting. I think the first waves of cloud where infrastructure centric and externally application focused, they were easier things, and now we're moving into more mission critical more stateful, more data oriented workloads, and that brings with it new challenges on where applications run and how we leverage the club. >> Octavian, you guys had a great relationship with IBM over the years data centric company, NetApp has always been great engineering team, you're on the hybrid cloud engineering. What's the current status of the relationship, give us an update on how the it's vectoring into the hybrid cloud since you're senior vice president of Hybrid Cloud Engineering. >> Well, so first of all, I want to recognize 20 years of a successful partnership with IBM. I think NetApp have been IBM have been companies that have embraced digital transformation and technology trends to enable that digital transformation for our customers, and we've been very successful. I think there is a very strong joint hybrid cloud value proposition for customers on NetApp storage and data services compliment. What IBM does in terms of products and solutions both for on-premise deployments in the cloud. I think together we can build more complete solutions that span data mobility, data governance for the new workrooms that Jason has talked about. >> And how has some of the customer challenges that you're seeing obviously software defined networking software defined storage, DevOps is now turned into DevSecOps. So you have now that programmability requirement with for dynamic applications, application driven infrastructure, all these buzz words point to one thing. The infrastructure has to be resilient and respond to the applications. >> I would say infrastructure will continue to be a top of mind for everybody, whether they're building a private cloud or whether they're trying to leverage something like IBM Cloud. I think people want to consume infrastructure as an API, I think they want a simplicity, security, I think they want to manage their costs very well. I think we're very proud to be partnering with IBM Cloud to build such capabilities. >> Jason how are you guys helping some of these customers as they look at new things and sometimes retrofitting and refactoring previous stuff during transforming but also innovating at the same time. There's a lot of that going on. What are you guys doing to help with the hybrid challenges? >> Yeah, I mean there's a lot of dimensions to that problem but the one that I think has been kind of most interesting over the last year has been how kind of the consumption model public cloud, API driven self service, capabilities operated for you. How that consumption model is starting to spread. Because I think one of the challenges with hybrid and one of the challenges as customers are looking at these more mission critical data centric kind of workloads was well, I can't always move that application to the public cloud data center or I need that application to live out on the network closer to my end users, so out where data is being generated maybe in an IoT context. And when you had those requirements you had to kind of switch operating models, you had to kind of move away from a public cloud service consumption model to a software deployment model, and we have a common platform and things like OpenShift that can run everywhere but the missing piece was how do I consume everything as a service everywhere? And so recently we launched this thing called IBM Cloud Satellite which we've been working with Octavian and his team on how we can actually extend the public cloud experience back into the data center out to the edge and allow people to kind of mix both location flexibility with public cloud consumption. And when you do that, you of course running a much more diverse infrastructure environment, you have to integrate with different storage environments and you wind up with like multi-tiered applications, some stuff on the edge and some stuff in the core. And so data replication and data management start to become really interesting because you're kind of distributing your workloads across this more complex environment. >> We've seen that relationship between compute and storage change a lot over the past decade as the evolution goes. Octavian, I got to ask you this is critical path for companies, they want the storage ready infrastructure, you guys have been doing that for many decades partnering with IBM for sure but now they're all getting hybrid cloud big time and it's attributed computing is what it is, it's the operating model. When someone asks you guys what your capabilities are, how do you answer that in today's world? Because you have storage as well knowing you got a great product people know that, but what is NetApp's capabilities when I say I'm going all in a hybrid cloud complete changeover. >> So what we have been doing is basically rewriting a lot of our software with a few design points in mind. The software defined has been definitely one of the key design points, the second is the hybrid cloud in the containerization of our operating systems so they can run both in traditional environments as well as in the cloud. I think the last thing that we wanted to do it's enabled the speed of scale and that has been by building intrinsically in the product both support or in also using Kubernetes as an infrastructure to achieve that agility that scale. >> So how about this data fabric vision? Because to me, this is comes up all the time in my conversations with practitioners, the number one problem that they're solving to solve in the conversation tends to, I hear words like control plane, Kubernetes, horizontally scalable, this all points to data being available. So how do you create that availability? What does data fabric mean? What does all this mean in a hybrid context? >> Well, if you think about it data fabric it's a hybrid cloud concept, this is about enabling data governance, data mobility, data security in an environment where some of the applications were run on premises or at the edge or the smart edge and many of the perhaps data lakes and analytics, and services, rich services will be in a central locations or on many or perhaps some large data centers. So you need to have the type of capabilities data services to enable that mobility that governance that security across this continuum that spans the edge the core and the cloud. >> Jason, you mentioned satellite before cloud satellite. Could you go into more detail on that? I know it's kind of a new product, what is that about, and tell me what's the benefits and why is it exist and what problems does it solve? >> Yeah, so in the most simple terms, cloud satellite is the capability to extend IBM's public cloud into on-prem infrastructure at the edge or in a multicloud context to other public cloud infrastructures. And so you can consume all the services in the public cloud that you need to to build their application, OpenShift as a service database, as DevTools, AI capabilities instead of being limited to only being able to consume those services in IBM's cloud regions you can now add your private data center or add your Metro provider or add your AWS or Azure accounts and now consume those services consistently across all those environments. And that really allows you to kind of combine the benefits of public cloud with the kind of location independence you see in hybrid and lets us solve new problems. It's really interesting we're seeing like AI and data being a primary driver. I need my application to live in a certain country or to live next to my mainframe or to live like in a Metro because all of my, I'm doing like video analytics on a bunch of cameras and I'm not going to stream all that data back to halfway across the country to some cloud region now. And so it lets you extend out in that way. And when you do that, of course, you now move the cloud into a more diverse infrastructure environment. And so like we've been working with NetApp on how do we then expose NetApp storage into this environment when I'm running in the data center or I'm running at the edge and I need to store that data replicate the data, secure it. Well, how do I kind of plug those two things together? I think John, at the beginning you kind of alluded to this idea of things are becoming more application centric, right? And we're trying to run IT architecture that's more centered around the application. Well, by combining clouds knowledge of kind of where everything's running with that common platform like OpenShift with a Kubernetes aware data fabric and storage layer, you really can achieve that. You can have an application centric kind of management that spans those environments. >> Yeah, I want to come back to that whole impact on IT because this has come up as a major theme here. Think that the IT transformation is going to be more about cloud scale, but I want to get to Octavian on the satellite on NetApp's role and how you compliment that, how do you guys fit in? He just mentioned that you guys are playing with cloud satellite, obviously this was like an operating model. How does that fit in? >> Simply we extend and enable the capabilities that IBM satellite platform provides. I think Jason referred to the storage aspects and what we are doing it's enabling not only storage but rich data services around peering based on temperature or replicated snapshots or capabilities around caching, high availability, encryption and so forth. So we believe that our technology integrate very well with Red Hat OpenShift and the Kubernetes aspect enable the application mobility and in that translation of really distributed computing at scale from the traditional data center to the edge and to the massive hubs that IBM is building. >> You know, I got to say but watching you guys work together for many decades now and covering you with theCUBE for the past 10 years or 11 years now been a great partnership. I got to say one thing that's obviously too obvious to me and our team and mainly the world is now you've got a new CEO over at IBM, you have a cloud focus that's on unwavering, Octavian loves the cloud we all know that. Ecosystems are changing, IBM already had a big ecosystem and partnerships. Now it seems to be moving to a level where you got to have that ecosystem really thrive in the cloud, so I guess we'll use the last couple of minutes if you guys don't mind explaining how the IBM NetApp relationship in the new context of this new partnership a new ecosystem or a new kind of world helps customers and how you guys are working together? >> Yeah, I mean I think you're right that cloud is all about platforms and about kind of the overall environment people operate in and the ecosystem is really critical. And I think things like satellite have given us new ways to work together. I mean, IBM and NetApp, as we set up, been working together for a long time we rely on the MoD in our public cloud, for example, in our storage tiers, but with the kind of idea of distributed cloud and the boundaries of public cloud spreading to all these new environments those are just new places where we can build really interesting valuable integrations for our clients so that they can deal with data, deal with these more complex apps in all the places that they exist. So I think it's been actually really exciting to kind of leverage that opportunity to find new ways to work together and deliver solutions for our clients. >> Octavian. >> I will say that data is the ecosystem and we all know that there's more data right now being created outside of the traditional data center be it in the cloud or at the edge. So our mission is to enable that hybrid cloud or that data mobility and enable know persistence rich data storage services, whatever data is being created. I think IBM's new satellite platform comes in and broadens the aperture of people being able to consume IBM's services at the edge and or remote office and I think that's very exciting. >> You guys are both experts and solely seasoned executives to DevOps, DevSecOps, DevDataOps, what are we going to call data's here ecosystems. Guys, thanks for coming on the queue, really appreciate the insight. >> Thank you. >> Thank you. >> Okay, IBM, Think CUBE coverage, I'm John for your host. Thanks for watching. (upbeat music)