(upbeat music) >> theCUBE presents KubeCon and CloudNativeCon Europe 22, brought to you by the Cloud Native Computing Foundation. >> Valencia, Spain, a KubeCon, CloudNativeCon Europe 2022. I'm Keith Towns along with Paul Gillon, Senior Editor Enterprise Architecture for Silicon Angle. Welcome Paul. >> Thank you Keith, pleasure to work with you. >> We're going to have some amazing people this week. I think I saw stat this morning, 65% of the attendees, 7,500 folks. First time KubeCon attendees, is this your first conference? >> It is my first KubeCon and it is amazing to see how many people are here and to think of just a couple of years ago, three years ago, we were still talking about, what the Cloud was, what the Cloud was going to do and how we were going to integrate multiple Clouds. And now we have this whole new framework for computing that is just rifled out of nowhere. And as we can see by the number of people who are here this has become the dominant trend in Enterprise Architecture right now how to adopt Kubernetes and containers, build microservices based applications, and really get to that transparent Cloud that has been so elusive. >> It has been elusive. And we are seeing vendors from startups with just a few dozen people, to some of the traditional players we see in the enterprise space with 1000s of employees looking to capture kind of lightning in a bottle so to speak, this elusive concept of multicloud. >> And what we're seeing here is very typical of an early stage conference. I've seen many times over the years where the floor is really dominated by companies, frankly, I've never heard of that. The many of them are only two or three years old, you don't see the big dominant computing players with the presence here that these smaller companies have. That's very typical. We saw that in the PC age, we saw it in the early days of Unix and it's happening again. And what will happen over time is that a lot of these companies will be acquired, there'll be some consolidation. And the nature of this show will change, I think dramatically over the next couple or three years but there is an excitement and an energy in this auditorium today that is really a lot of fun and very reminiscent of other new technologies just as they requested. >> Well, speaking of new technologies, we have Dave Cole, CRO, Chief Revenue Officer. >> That's right. >> Chief Marketing Officer of Spectrum Cloud. Welcome to the show. >> Thank you. It's great to be here. >> So let's talk about this big ecosystem, Kubernetes. >> Yes. >> Solve problem? >> Well the dream is... Well, first of all applications are really the lifeblood of a company, whether it's our phone or whether it's a big company trying to connect with its customers about applications. And so the whole idea today is how do I build these applications to build that tight relationship with my customers? And how do I reinvent these applications rapidly in along comes containerization which helps you innovate more quickly? And certainly a dominant technology there is Kubernetes. And the question is, how do you get Kubernetes to help you build applications that can be born anywhere and live anywhere and take advantage of the places that it's running? Because everywhere has pluses and minuses. >> So you know what, the promise of Kubernetes from when I first read about it years ago is, runs on my laptop? >> Yeah. >> I can push it to any Cloud, any platforms. >> That's right, that's right. >> Where's the gap? Where are we in that phase? Like talk to me about scale? Is it that simple? >> Well, that is actually the problem is that today, while the technology is the dominant containerization technology in orchestration technology, it really still takes a power user, it really hasn't been very approachable to the masses. And so was these very expensive highly skilled resources that sit in a dark corner that have focused on Kubernetes, but that now is trying to evolve to make it more accessible to the masses. It's not about sort of hand wiring together, what is a typical 20 layer stack, to really manage Kubernetes and then have your engineers manually can reconfigure it and make sure everything works together. Now it's about how do I create these stacks, make it easy to deploy and manage at scale? So we've gone from sort of DIY Developer Centric to all right, now how do I manage this at scale? >> Now this is a point that is important, I think is often overlooked. This is not just about Kubernetes. This is about a whole stack of Cloud Native Technologies. And you who is going to integrate that all that stuff, piece that stuff together? Obviously, you have a role in that. But in the enterprise, what is the awareness level of how complex this stack is and how difficult it is to assemble? >> We see a recognition of that we've had developers working on Kubernetes and applications, but now when we say, how do we weave it into our production environments? How do we ensure things like scalability and governance? How do we have this sort of interesting mix of innovation, flexibility, but with control? And that's sort of an interesting combination where you want developers to be able to run fast and use the latest tools, but you need to create these guardrails to deploy it at scale. >> So where do the developers fit in that operation stack then? Is Kubernetes an AIOps or an ops task or is it sort of a shared task across the development spectrum? >> Well, I think there's a desire to allow application developers to just focus on the application and have a Kubernetes related technology that ensures that all of the infrastructure and related application services are just there to support them. And because the typical stack from the operating system to the application can be up to 20 different layers, components, you just want all those components to work together, you don't want application developers to worry about those things. And the latest technologies like Spectra Cloud there's others are making that easy application engineers focus on their apps, all of the infrastructure and the services are taken care of. And those apps can then live natively on any environment. >> So help paint this picture for us. I get AKS, EKS, Anthos, all of these distributions OpenShift, the Tanzu, where's Spectra Cloud helping me to kind of cobble together all these different distros, I thought distro was the thing just like Linux has different distros, Randy said different distros. >> That actually is the irony, is that sort of the age of debating the distros largely is over. There are a lot of distros and if you look at them there are largely shades of gray in being different from each other. But the Kubernetes distribution is just one element of like 20 elements that all have to work together. So right now what's happening is that it's not about the distribution it's now how do I again, sorry to repeat myself, but move this into scale? How do I move it into deploy at scale to be able to manage ongoing at scale to be able to innovate at-scale, to allow engineers as I said, use the coolest tools but still have technical guardrails that the enterprise knows, they'll be in control of. >> What does at-scale mean to the enterprise customers you're talking to now? What do they mean when they say that? >> Well, I think it's interesting because we think scale's different because we've all been in the industry and it's frankly, sort of boring old word. But today it means different things, like how do I automate the deployment at-scale? How do I be able to make it really easy to provision resources for applications on any environment, from either a virtualized or bare metal data center, Cloud, or today Edge is really big, where people are trying to push applications out to be closer to the source of the data. And so you want to be able to deploy it-scale, you want to manage at-scale, you want to make it easy to, as I said earlier, allow application developers to build their applications, but ITOps wants the ability to ensure security and governance and all of that. And then finally innovate at-scale. If you look at this show, it's interesting, three years ago when we started Spectra Cloud, there are about 1400 businesses or technologies in the Kubernetes ecosystem, today there's over 1800 and all of these technologies made up of open source and commercial all version in a different rates, it becomes an insurmountable problem, unless you can set those guardrails sort of that balance between flexibility, control, let developers access the technologies. But again, manage it as a part of your normal processes of a scaled operation. >> So Dave, I'm a little challenged here, because I'm hearing two where I typically consider conflicting terms. Flexibility, control. >> Yes. >> In order to achieve control, I need complexity, in order to choose flexibility, I need t-shirt, one t-shirt fits all and I get simplicity. How can I get both that just doesn't compute. >> Well, that's the opportunity and the challenge at the same time. So you're right. So developers want choice, good developers want the ability to choose the latest technology so they can innovate rapidly. And yet ITOps, wants to be able to make sure that there are guardrails. And so with some of today's technologies, like Spectra Cloud, it is, you have the ability to get both. We actually worked with dimensional research, and we sponsor an annual state of Kubernetes survey. We found this last summer, that two out of three IT executives said, you could not have both flexibility and control together, but in fact they want it. And so it is this interesting balance, how do I give engineers the ability to get anything they want, but ITOps the ability to establish control. And that's why Kubernetes is really at its next inflection point. Whereas I mentioned, it's not debates about the distro or DIY projects. It's not big incumbents creating siloed Kubernetes solutions, but in fact it's about allowing all these technologies to work together and be able to establish these controls. And that's really where the industry is today. >> Enterprise , enterprise CIOs, do not typically like to take chances. Now we were talking about the growth in the market that you described from 1400, 1800 vendors, most of these companies, very small startups, our enterprises are you seeing them willing to take a leap with these unproven companies? Or are they holding back and waiting for the IBMs, the HPS, the MicrosoftS to come in with the VMwares with whatever they solution they have? >> I think so. I mean, we sell to the global 2000. We had yesterday, as a part of Edge day here at the event, we had GE Healthcare as one of our customers telling their story, and they're a market share leader in medical imaging equipment, X-rays, MRIs, CAT scans, and they're starting to treat those as Edge devices. And so here is a very large established company, a leader in their industry, working with people like Spectra Cloud, realizing that Kubernetes is interesting technology. The Edge is an interesting thought but how do I marry the two together? So we are seeing large corporations seeing so much of an opportunity that they're working with the smaller companies, the latest technology. >> So let's talk about the Edge a little, you kind of opened it up there. How should customers think about the Edge versus the Cloud Data Center or even bare metal? >> Actually it's a... Well bare metal is fairly easy is that many people are looking to reduce some of the overhead or inefficiencies of the virtualized environment. But we've had really sort of parallel little white tornadoes, we've had bare metal as infrastructure that's been developing, and then we've had orchestration developing but they haven't really come together very well. Lately, we're finally starting to see that come together. Spectra Cloud contributed to open source a metal as a service technology that finally brings these two worlds together, making bare metal much more approachable to the enterprise. Edge is interesting, because it seems pretty obvious, you want to push your application out closer to your source of data, whether it's AI inferencing, or IoT or anything like that, you don't want to worry about intermittent connectivity or latency or anything like that. But people have wanted to be able to treat the Edge as if it's almost like a Cloud, where all I worry about is the app. So really, the Edge to us is just the next extension in a multi-Cloud sort of motif where I want these Edge devices to require low IT resources, to automate the provisioning, automate the ongoing version management, patch management, really act like a Cloud. And we're seeing this as very popular now. And I just used the GE Healthcare example of that, imagine a CAT scan machine, I'm making this part up in China and that's just an Edge device and it's doing medical imagery which is very intense in terms of data, you want to be able to process it quickly and accurately, as close to the endpoint, the healthcare provider is possible. >> So let's talk about that in some level of details, we think about kind of Edge and these fixed devices such as imaging device, are we putting agents on there, or we looking at something talking back to the Cloud? Where does special Cloud inject and help make that simple, that problem of just having dispersed endpoints all over the world simpler? >> Sure. Well we announced our Edge Kubernetes, Edge solution at a big medical conference called HIMMS, months ago. And what we allow you to do is we allow the application engineers to develop their application, and then you can de you can design this declarative model this cluster API, but beyond Cluster profile which determines which additional application services you need and the Edge device, all the person has to do with the endpoint is plug in the power, plug in the communications, it registers the Edge device, it automates the deployment of the full stack and then it does the ongoing versioning and patch management, sort of a self-driving Edge device running Kubernetes. And we make it just very easy. No IT resources required at the endpoint, no expensive field engineering resources to go to these endpoints twice a year to apply new patches and things like that, all automated. >> But there's so many different types of Edge devices with different capabilities, different operating systems, some have no operating system. I mean that seems, like a much more complex environment, just calling it the Edge is simple, but what you're really talking about is 1000s of different devices, that you have to run your applications on how are you dealing with that? >> So one of the ways is that we're really unbiased. In other words, we're OS and distro agnostic. So we don't want to debate about which distribution you like, we don't want to debate about which OS you want to use. The truth is, you're right. There's different environments and different choices that you'll want to make. And so the key is, how do you incorporate those and also recognize everything beyond those, OS and Kubernetes and all of that and manage that full stack. So that's what we do, is we allow you to choose which tools you want to use and let it be deployed and managed on any environment. >> And who's... >> So... >> I'm sorry Keith, who's responsible for making Kubernetes run on the Edge device. >> We do. We provision the entire stack. I mean, of course the company does using our product, but we provision the entire Kubernetes infrastructure stack, all the application services and the application itself on that device. >> So I would love to dig into like where pods happen and all that. But, provisioning is getting to the point that is a solve problem. Day two. >> Yes. >> Like you just mentioned HIMMS, highly regulated environments. How does Spectra Cloud helping with configuration management, change control, audit, compliance, et cetera, the hard stuff. >> Yep. And one of the things we do, you bring up a good point is we manage the full life cycle from day zero, which is sort of create, deploy, all the way to day two, which is about access control, security, it's about ongoing versioning in a patch management. It's all of that built into the platform. But you're right, like the medical industry has a lot of regulations. And so you need to be able to make sure that everything works, it's always up to the latest level have the highest level of security. And so all that's built into the platform. It's not just a fire and forget it really is about that full life cycle of deploying, managing on an ongoing basis. >> Well, Dave, I'd love to go into a great deal of detail with you about kind of this day two ops and I think we'll be covering a lot more of that topic, Paul, throughout the week, as we talk about just as we've gotten past, how do I deploy Kubernetes pod, to how do I actually operate IT? >> Absolutely, absolutely. The devil is in the details as they say. >> Well, and also too, you have to recognize that the Edge has some very unique requirements, you want very small form factors, typically, you want low IT resources, it has to be sort of zero touch or low touch because if you're a large food provider with 20,000 store locations, you don't want to send out field engineers two or three times a year to update them. So it really is an interesting beast and we have some exciting technology and people like GE are using that. >> Well, Dave, thanks a lot for coming on theCUBE, you're now KubeCon, you've not been on before? >> I have actually, yes its... But I always enjoy it. >> Great conversation. From Valencia, Spain. I'm Keith Towns, along with Paul Gillon and you're watching theCUBE, the leader in high tech coverage. (upbeat music)

>> Announcer: From around the globe, it's theCUBE with coverage of KubeCon and CloudNativeCon Europe 2021-Virtual, brought to you by Red Hat, the Cloud Native Computing Foundation and Ecosystem Partners. >> Hey, welcome back everyone to theCUBE's coverage of KubeCon and CloudNativeCon 2021-Virtual. I'm John Furrier, your host here on theCUBE. We've got Steve Gordon, Director of Product Management, Cloud Platforms at Red Hat. Steve, welcome to theCUBE, good to see you, thanks for coming on. >> Hey John, thanks for having me on, it's great to be back. >> So soon we'll be in real life, I think North America show, this is for the Europe Virtual, I think the North American one might be in person. It's not yet official. We'll hear, but we'll find out, but looking good so far. But thanks for all your collaboration. You guys have been a big part of the CNCF we've been covering on theCUBE, as you know, since the beginning. But, I wanted to get into the Edge conversation that's been going on. And first I want to just get this out there. You guys are sponsoring Edge Day here at KubeCon. I want you to bring that together for us, because this is a big part of what Red Hat's talking about and frankly customers. The Edge is the most explosive growth area. It's got the most complexity, it's crazy. It's got data, it's got everything at the Edge. Everything's happening. How important is Kubernetes to Edge Computing? >> Yeah, it's certainly interesting to be here talking about it now, and having kind of a dedicated Kubernetes Edge Day. I was thinking back earlier, I think it was one of the last in-person KubeCon events I think, if not the last, the San Diego event where there was already kind of a cresting of interest in Edge and kind of topics on the agenda around Edge. And it's just great to see that momentum has continued up to where we are today. And really more and more people not only talking about using Kubernetes for Edge, but actually getting in there and doing it. And I think, when we look at why people are doing that, they're really leaning into some of the things that they saw as strengths of Kubernetes in general, that they're now able to apply to edge computing use cases in terms of what they can actually do in terms of having a common interface to this very powerful platform that you can take to a growing multitude of footprints, be they your public cloud providers, where a lot of people may have started their Kubernetes journey or their own data center, to these edge locations where they're increasingly trying to do processing closer to where they're collecting data, basically. >> You know, when you think about Edge and all the evolution with Cloud Native, what's interesting is Kubernetes is enabling a lot of value. I'd like to get your thoughts. What are you hearing from customers around use cases? I mean, you are doing product management, you've got to document all the features, the wishlist. You have the keys to the kingdom on what's going on over at Red Hat. You know, we're seeing just the amazing connectivity between businesses with hybrid cloud. It's a game changer. Haven't seen this kind of change at this level since the late '80s, early '90s in terms of inflection point impact. This is huge. What are you hearing? >> I think it's really interesting that you use the word connectivity there because one of the first edge computing use cases that I've really been closely involved with and working a lot on, which then grows into the others, is around telecommunications and 5G networking. And the reason we're working with service providers on that adoption of Kubernetes as they build 5G basically as a cloud native platform from the ground up, is they're really leveraging what they've seen with Kubernetes elsewhere and taking that to deliver this connectivity, which is going to be crucial for other use cases. If you think about people whether they're trying to do automotive edge cases, where they're increasingly putting more sensors on the car to make smarter decisions, but also things around the infotainment system using more and more data there as well. If you think about factory edge, all of these use cases build on connectivity as one of the core fundamental things they need. So that's why we've been really zoomed in there with the service providers and our partners, trying to deliver a 5G networking capabilities as fast as we can and the throughput and latency benefits that come with that. >> If you don't mind me asking, I got to just go one step deeper if you don't mind. You mentioned some of these use cases, the connectivity. You know, IoT was the big buzz word, okay IoT. It's an Edge, it's Operational Technology, or it's a dumb endpoint or a node on the network has connectivity. It's got power. It's a purpose built device. It's operating, it's getting surveillance data, whatever the hell it's doing, right. It's got Edge. Now you're bringing in more intelligent, which is an IT kind of thing, state, databases, caching. Is the database too slow? Is it too fast? So again, it brings up more complexity. Can you just talk about how you view that? Because this is what I'm hearing, what do you think? >> Yeah, I agree. I think there's a real spectrum, when we talk about edge computing, both in terms of the footprints and the locations, and the various constraints that each of those imply. And sometimes those strengths can be, as you're talking about as a specially designed board which has a very specific chip on it, has very specific memory and storage constraints or it can be a literal physical constraint in terms of I only have this much space in this location to actually put something, or that space is subject to excess heat or other considerations environmentally. And I think when we look at what we're trying to provide, not just with Kubernetes but also with Linux, is a variety of solutions that can help people no matter where they are along that spectrum of the smallest devices where maybe Red Hat Enterprise Linux, or REL for Edge is suitable to those use cases where maybe there's a little more flexibility in terms of, what are the workloads I might want to run on that in the future? Or how do I want to grow that environment potentially in the future as well? If I want to add nodes, then all of a sudden, the capability that nannies brings can be a more flexible building base for them to start with. >> So with all of these use cases and the changing dynamics and the power dynamics between Operational Technology in IT, which we're kind of riffing on, what should developers take away from that when they're considering their development, whether they just want an app, be app developers, programming the infrastructure or they're tinkering with the underlying, some database work, or if they're under the hood kind of full dev ops? What should developers take into consideration for all these new use cases? >> Yeah, I think one of the key things is that we're trying to minimize the impact to the developer as much as we can. Now of course, with an edge computing use case where you may be designing your application specifically for that board or device, then that's a more challenging proposition. But there's also the case increasingly where that intelligence already exists in the application somewhere, whether it's in the data center or in the cloud, and they're just trying to move it closer to that endpoint, where the actual data is collected. And that's where I think there's a really powerful story in terms of being able to use Kubernetes and OpenShift as that interface that the application developer interacts with but can use that same interface, whether they're running in the cloud maybe for development purposes, but also when they take it to production and it's running somewhere else. >> I got to ask you the AI impact because every conversation I have or everyone I interview that's an expert as a practitioner is usually something along the lines of chief architect of cloud and AI. You're seeing a lot of cloud, SRE, cloud-scale architects meeting and also running the AI piece, especially in industries. So AI as a certain component seems to be resonating from a functional persona standpoint. People who are doing these transformations tend to have cloud and AI responsibility. Is that a fluke or is that just the pattern that's real? >> No, I think that's very real. And I think when you look at AI and machine learning and how it works, it's very data centric in terms of what is the data I'm collecting, sending back to the mothership, maybe in terms of actually training my model. But when I actually go to processing something, I want to make that as close as I can to the actual data collection, so that I can minimize what I'm trying to send back. Particularly, people may not be as cognizant of it, but even today, many times we're talking about sites where that connectivity is actually fairly limited in some of these edge use cases still today. So what you're actually putting over the pipe is something you're still trying to minimize, while trying to advance your business and improve your agility, by making these decisions closer to the edge. >> What's the advantage for Red Hat? Talk about the benefits. What are you guys bringing to the table? Obviously, hybrid cloud is the new shift. Everyone's agreed to that. I mean, pretty much the consensus is public clouds, great, been there, done that. It's out there pumping out as a resource, but now enterprise is goading us to keep stuff on premises, especially when you talk about factories or whatever, on premises, things that they might need, stuff on premise. So it's clear hybrid is happening. Everyone's in agreement. What does Red Hat bring to the table? What's in it for the customer? >> Yeah, I think I would say hybrid is really an evolving at the moment in terms of, I think, Hybrid has kind of gone through this transition where, first of all, it was maybe moving from my data center to public cloud and I'm managing most of those through that transition, and maybe I'm (indistinct) public clouds. And now we're seeing this transition where it's almost that some of that processing is moving back out again closer to the use case of the data. And that's where we really see as an extension of our existing hybrid cloud story, which is simply to say that we're trying to provide a consistent experience and interface for any footprint, any location, basically. And that's where OpenShift is a really powerful platform for doing this. But also, it's got Kubernetes at the heart of it. but it's also worth considering when we look at Kubernetes, is there's this entire Cloud Native ecosystem around it. And that's an increasingly crucial part of why people are making these decisions as well. It's not just Kubernetes itself, but all of those other projects both directly in the CNCF ecosystem itself, but also in that broader CNCF landscape of projects which people can leverage, and even if they don't leverage them today, know they have options out there for when they need to change in the future if they have a new need for their application. >> Yeah, Steve, I totally agree with you. And I want to just get your thoughts on this because I was kind of riffing with Brian Gracely who works at Red Hat on your team. And he was saying that, you know, we were talking about KubeCon + CloudNativeCon as the name of the conference. He's a little bit more CloudNativeCon this year than KubeCon, inferring, implying, and saying that, okay so what about Kubernetes, Kubernetes, Kubernetes? Now it's like, whoa, CloudNative is starting to come to the table, which shows the enablement of Kubernetes. That was our point. The point was, okay, if Kubernetes does its job as creating a lever, some leverage to create value and that's being rendered in CloudNative, and that enterprise is, not the hardcore hyperscalers and/or the early adopters, I call it classic enterprise, are coming in. They're contributing to open source as participants, and they're harvesting the value in creating CloudNative. What's your reaction to that? And can you share your perspective on there's more CloudNative going on than ever before? >> Yeah, I certainly think, you know, we've always thought from the beginning of OpenShift that it was about more than just Linux and Kubernetes and even the container technologies that came before them from the point of view of, to really build a fully operational and useful platform, you need more than just those pieces. That's something that's been core to what we've been trying to build from the beginning. But it's also what you see in the community is people making those decisions as well, as you know, what are these pieces I need, whether it's fairly fundamental infrastructure concerns like logging and monitoring, or whether it's things like trying to enable different applications on top using projects like KubeVert for virtualization, Istio for service mesh and so on. You know, those are all considerations that people have been making gradually. I think what you're seeing now is there's a growing concern in some of these areas within that broad CNCF landscape in terms of, okay, what is the right option for each of these things that I need to build the platform? And certainly, we see our role is to guide customers to those solutions, but it's also great to see that consensus emerging in the communities that we care about, like the CNCF. >> Great stuff. Steve, I got to ask you a final question here. As you guys innovate in the open, I know your roadmaps are all out there in the open. And I got to ask you, product managing is about making decisions about what you what you work on. I know there's a lot of debates. Red Hat has a culture of innovation and engineering, so there's heated arguments, but you guys align at the end of the day. That's kind of the culture. What's top of mind, if someone asks you, "Hey, Steve, bottom line, I'm a Red Hat customer. I'm going full throttle as a hybrid. We're investing. You guys have the cloud platforms, what's in it for me? What's the bottom line?" What do you say? >> Yeah, I think the big thing for us is, you know, I talked about that this is extending the hybrid cloud to the edge. And we're certainly very conscious that we've done a great job at addressing a number of footprints that are core to the way people have done computing today. And now as we move to the edge, that there's a real challenge to go and address more of those footprints. And that's, whether it's delivering OpenShift on a single node of itself, but also working with cloud providers on their edge solutions, as they move further out from the cloud as well. So I think that's really core to the mission is continuing to enable those footprints so that we can be true to that mission of delivering a platform that is consistent across any footprint at any location. And certainly that's core to me. I think the other big trend that we're tracking and really continuing to work on, you know, you talked about AI machine learning, the other other space we really see kind of continuing to develop and certainly relevant in the work with the telecommunications companies I do but also increasingly in the accelerator space where there's really a lot of new and very interesting things happening with hardware and silicon, whether it be kind of FPGAs, EA6, and even the data processing units, lots of things happening in that space that I think are very interesting and going to be key to the next three to five years. >> Yeah, and software needs to run on hardware. Love your tagline there. It sounds like a nice marketing slogan. Any workload, any footprint, any location. (laughs) Hey, DevSecOps, you got to scale it up. So good job. Thank you very much for coming on. Steve Gordon, Director of Product Management, Clout Platforms, Red Hat, Steve, thanks for coming on. >> Thanks, John, really appreciate it. >> Okay, this is theCUBE coverage of KubeCon and CloudNativeCon 2021 Europe Virtual. I'm John Furrier, your host from theCUBE. Thanks for watching. (serene music)