 Good morning and welcome back to the Windy City. My name's Savannah Peterson, and we're here at KubeCon, CloudNativeCon, CNCF's largest North American event. We've had some thrilling conversations already, but I am personally, particularly stoked for this one. We're going to be talking about the Edge. John, what excites you about Edge? It's the future of computing. It's cloud on premise and Edge. That's the areas that are the most dynamic in cloud. And as the AI wave hits, Edge is our next area that's going to see massive innovation. Yeah, we like it because it's the future. And we've got two future leaders right over here from Red Hat. Let's start with so we get everybody on the same page announcements. There were some Edge announcements from Red Hat. Sally, can you tell me about those? Yes, Red Hat Device Edge is now GA and also includes the Ansible Automation Platform. So it's very exciting. What does that mean for your community? It means that Red Hat Enterprise Linux is now extended out to the Edge in an optimized for Edge way. So it's really enabling our customers to extend their workloads out beyond the data center. We've worked closely with customers like ABB and Lockheed Martin. And they've been with us along the whole journey from when we were first developing a micro shift, which is an optional workload on Red Hat Device Edge all the way through today, GA, yeah. Shuman, do you have any business specifics to add? Red Hat Device Edge is like Sally said, right? We just announced general availability. It's a flexible platform, regardless of where customers are in their app modernization journey. And we were talking about this earlier, right? Edge computing is growing really fast. Some people say 20 times faster than Core and various industries are going through transformation, whether they are manufacturing control systems, healthcare, retail. So we wanted to have a platform that gives them the flexibility, regardless of whether they are traditional workloads, containers on Linux or Kubernetes all the way at the far edge. It's a driver for the, oh, go ahead. Yeah, we really have to meet our customers where they are because there is such a mix. Some of our customers have never used a containerization. And so for that, Red Hat Enterprise Linux, Red Hat Device Edge is flexible enough to where customers can deploy things as RPMs as containers or as Kubernetes native. Yeah, Kubernetes is maturing, containers is getting more secure. I have to ask you, what do you see as the acceleration? What's the driver for the Edge expansion? What's the big dynamic? What's the power dynamic? Yeah, well, hardware accelerators becoming more accessible. You know, different types of hardware that is good for the Edge workloads. That's been a driver, yeah. Yeah, and from a customer's or partner's perspective, it's the same thing that's been happening in the IT world. Now they want to do it in operations technology world because everybody wants to move to subscription-based pricing models. And the way they can achieve that is by being agile and delivering software innovation rapidly. So that's one of the big drivers as well. I got to ask you, one of the things we're seeing with AI is the surge and enthusiasm around vertical industries. So Edge, industrial, retail, these use cases are emerging. What's going on there? How do you guys see that emerging faster? How's AI and Red Hat converging in on these verticals? Because you think retail, you think industrial Edge, which people have been playing at, is super hot right now because he got kind of AI coming into the fold. How do you guys see that? What's your vision? Yeah, well, enabling the Edge really means enabling AI. And when you're able to harness data right where it's being generated and really act on that with real-time analytics of that Edge data, that's where it's going. The value of the exhaust, the data, the data. Yeah, we have so many devices all over the world generating data, but we haven't fully realized how to harness it, how to improve our lives with it. And so that's where Edge computing is going for sure. Yeah, so many sensors and different data points and there's still that, we need that central processing like our human brain to discern what this actually means. Yeah, you always need for the data to go back to a semi-central location to process, to filter. Only a small percentage of data generated is really useful. So it's important. Relevance is a big part of this. Yeah, it's important to know how to filter out the data and use it, yeah. What are some of the use cases and customers you're working with? You mentioned Lockheed Martin, but I would imagine you get to see some of the coolest instances of this. I understand there's probably a few you can't tell me about. But do you have some favorite examples? Brian, let's go with you first. Yeah, sure, so in the defense industry, Lockheed Martin, this is a public story, they have a really small compute on their stocker drone and they wanted to be able to rapidly iterate and deploy new AIML models for image processing because these drones are used for surveillance and whether it's in the training period or in production missions, the mission parameters change dynamically. They may not be out surveying for forest fires and then suddenly you have to redeploy the drone for surveying for a capsized boat, right? So that requires the ability to rapidly change the AIML software. So that's why they wanted to use a lightweight Kubernetes platform, right? All the way on this really small compute. So that's why they worked with us, right? With Sally, who was one of the pioneers working on Microsoft from day one. Yeah, yeah. And we worked hand in hand with Lockheed. Yeah, Microsoft is such an interesting project. I'm really honored to have been a part of it. So we took the core of Kubernetes, the API server, the kubelet at CD, and we embed that into a single binary. And then from the OpenShift perspective, a lot of thought went into what parts of OpenShift are really important for the edge? And we landed on things like our security context constraints that are specific to OpenShift. And like the service CA operator of OpenShift, which manages TLS certificates. So we include those. We include a few OpenShifty things on this very lightweight Kubernetes that can run on the edge. And at the end of the day, Microsoft is just a process running on Red Hat Enterprise Linux. And so with a system D service. And the networking and the storage are really integrated with Red Hat Enterprise Linux with the host operating system. So it's different than other lightweight Kubernetes because other lightweight Kubernetes are fully containerized, but we really integrate with Linux at every point. And the benefit, what's the benefit to the environment? Baster, is it smaller? What's the benefit of the micro shift? Yeah, well, okay. So the benefit of Kubernetes native workloads at the edge is that streamlined, consistent pattern that you can develop AI workloads. You can train models in your core data center and then you can deploy them using the same patterns, the same CI CD system in a Kubernetes native way. And that's what our customers are. The ones that are used to running Kubernetes, that's what they want. We were talking, first of all, I love this topic as you know, Savannah does too. The edge, you asked us before we came on camera what we think the cool thing about the edge is, but I want to go back to that because this is kind of what I like about the edge. If you look at the digital work, business, it's a complex system. You got employees out there, you got customers, they could be anywhere around the world. So we did a case study on theCUBE around Uber and how their platform works. Because they have different databases, they got drivers, they got customers, things are moving, you got real-time data, you got maps, you got manage-ups. So if that's the architecture of the future, you got to roll your own. How do you build out a business architecture? Oh yeah, that is such a good observation. So that was very important to us when we were developing Red Hat Device Edge. So you get the base golden rel, and then it's really important for edge workloads to be able to customize the operating system. And if you think about how containers change the world, everything you need to run your workload is included, is packaged within a container image. And we're extending that to the operating system. So if you have workloads that are important workloads can be embedded right into the operating system rather than deploying them after the fact. And that's really exciting. That's real-time relevance. That's what we've been talking about. I'm smiling because the queue's been around for 13 years. We've interviewed all the CEOs of Red Hat over the years. And I knew Arvin Krishnip, when he was about to buy Red Hat at Red Hat 2018, I think it was. And I said to him back then, you know, if this cloud thing goes the way it's going to go, Arvin and Paul come here at that time. Oh, Paul. You know, I mean, I'm just speculating here, but like operating system, like you got cloud, you got to connect the edge, it's distributed come. Isn't it like an operating system? And they're like, because it's Red Hat, you guys make operating systems. Of course, that's why we're so well suited for the edge. We're talking about an operating system. That's where we're going with this. Absolutely. This is what the world will be. That's why we're so excited. Yeah. And the other thing about edge is that it's heterogeneous, right? Exactly. Because there's so many different industry specific hardware vendors, there's ARM, right? Like, you know, because these edge locations don't have enough power, space cooling, so you need that really efficient compute. So, and our Red Hats, you know, open source based innovation is really resonating well with customers. So we're excited to, we share their vision. I mean, the big Red Hat fans, as you know, we love the company and we love the operating system model. Enthusiasm is great. Confidence is what closes the deal for customers. So how do you guys talk to customers who are enthused? Some may be kind of neutral, but the ones that are enthused got to get confident. What are you guys doing to give that confidence that security's there, the right model's going to be loading at the right time, everything's assembling, running, loading and linking and all that good stuff that goes on at the edge and core. What's the confidence factor that you guys do convey? That's easy to answer, actually. We work very closely with our customers. The engineers, you know, I meet weekly with ABB and we go over like a small list of things that we need to enable over the next week and you know, we iterate like that and then the next week there's a new list. And so just working really closely with customers and the various customers, we find those common problems and that's what goes into the core product or the core solution. And if you're not having those convos with the community, you're not going to develop the right solution. Yeah and open source is at the forefront of everything we do. I want to stay there for a second sense. KubeCon is a bit of a celebration of the open source community to a degree. How important is open source to the edge, to the future of industrial IoT, to a lot of the different use cases that we're talking about. Shuman, let's go with you first. Yeah, so let's take the example of ABB, right? Another of our Lighthouse customers. They wanted to use open source based innovation because they're bringing together technologies from different vendors, whether that's hardware, right? Or software, right? Ecosystem, so our approach of having standard enterprise Linux and lightweight Kubernetes as well as Ansible, right? Is really beneficial for them because they can use the single platform, bring different hardware vendors, including, you know, X86 ARM or software ecosystem, and bring their industrial control systems, right? To the next generation. So they have this product called AdGenius, which is really harvesting all the data that's coming from their control systems, and they're able to bring that visibility to their end customers, and develop new apps, right? And deploy them rapidly. So I think for them, open source plus the lightweight Kubernetes, and our Red Hat devices really help them transform their control systems. Yeah, I have to add because I'm so excited about the work that we've been doing recently with ABB because they are all about harnessing data, and a lot of that is observability. How do you harness data? How do you collect it? And so an open source project that is one of my favorites is open telemetry, and we have found throughout Red Hat that open telemetry can fill gaps in so many places, and we're really working to integrate the open telemetry collector, and also we have some of the core maintainers at Red Hat working upstream in open telemetry, and that's how Red Hat does things. We integrate in open source communities. Sometimes we start open source communities ourselves, and then we bring those solutions in a supportable enterprise ready away. You guys are legends in open source, it's well known, well documented. We are. We have more work here. What's your take of here at KubeCon? This progress of this community has been great, the maturization of Kubernetes. Yeah, it's coming in here. How would you describe the status of where we are in the journey of Kubernetes, containers, and CloudNative because soon I think the show will be called CloudNativeCon because KubeCon, Kubernetes will be like, oh yeah, it's like Linux, it's in there. Exactly, yeah. It runs. You don't need a whole show about it, you can just. I always think, and when my kids ask me what I do, or anybody, you know, Kubernetes, I work on Kubernetes, and it's sort of the backbone of the internet. It's what, you know, all of their favorite video games, all of their favorite applications are running on Kubernetes, and it's just there, like you said, and it comes to this point where it's stable, and you know, all of the innovation is about what can you run on Kubernetes or integrate or plug into it, and yeah. How do you read the tea leaves here at this conference? We look at that, where it's at now, what's next? Because, you know, Kubernetes is a disruptive enabler in a good way, so what do you see as disruptive enabling that's going to come out of this world? Okay. I think, you know, like you said, right, it's all the applications because Kubernetes has matured now, right, so all the innovation, if you look at all the vendors here, it's around security, right? It's around observability, and it's about, you know, new ways, like, you know, new innovative ways or simplifying CI CD, right? It's about simplifying that day zero, day two experience, security and observability, and EVPF is one of my favorites. There are so many vendors out here talking about, including Red Hat, talking about EVPF, because that changes security and observability in a big way, right? Yeah, I like how you mentioned security and CI CD because they really need to be interwoven. I work a lot with Sigstore, and the right way to develop software is to integrate digital signing, cryptographic signing into your build process, and the build process itself is really critical to how secure your software is, and once you have that, then it doesn't do anything unless you're verifying or, you know, you set policies to enforce those security. The cliche, building security from day one, that's kind of the philosophy. Oh yeah, we've been saying it shifts left now. It's the responsibility of the developer, especially in open source, because these open source projects, they catch on, and it could be an 18-year-old kid developing in his basement, but it could be in, you know, many enterprise solutions, so we really need to encourage the good habits of security from the code. And that's the beautiful about open source, it could be anybody. Oh yeah. The innovation could come from the dorm room to the board room. Yeah, yep. And beyond, and at the edge. Unintended, perhaps. All right, last question for y'all. Let's take out our work hats for a second. Our red fedoras. Yeah, yeah, exactly, you're beautiful matching red fedoras, and I'm curious, what is your favorite, not just how it'll change our world, since it's been a disgrace, but what's your favorite edge use case? What gets you the most excited? Well, I'm going to take a sort of a virtual signaling stance here. This is a moment for it, go for it. My favorite project right now is a coworker of mine is enabling a remote hospital in, you know, far off remote Africa, I believe, I'm not sure, exactly sure, but he's using all these edge solutions to enable high tech scanning device for a community that would not have it otherwise. So, for me, yeah. I just felt that, I just got goosebumps as I was talking about it. This is the stuff that will change the world. I mean, it's decentralizing hardware, tooling, data that can inform medicine, or the planet, or whatever that is that will shape our future. And yeah, I'm with you. One of my favorite use cases is medical devices, right? So we're going to see so much innovation in medical devices. I mean, it's about people's lives, faster diagnosis with, you know, AIML based, you know, pre-diagnosis, right? Using the small compute on these devices. So I think we'll see a lot more accessibility of medical technology all over the world by bringing edge computing to these devices. I have a fun story. My sister, she's an endocrinologist, and that is all of her patients have diabetes. And a father who is a software engineer developed an open source solution for feedback loop in your insulin pump. And it took years and years for the FDA to finally approve this, but along the way, many, many patients were going to GitHub and downloading that solution because it was so life-changing for the patients to have that. Yeah, why wait? I mean, that's amazing. That's not the point. That's not the point. This patient who's never even thought about GitHub, let alone understood. Totally. I mean, what a cool. Just don't have to rip her mouth. Get that. That's awesome. Wow, what a beautiful. And he has started a company, and I wish that I could plug it because I don't remember the name of it, but yeah. We'll plug it in the comments of the YouTube video. Okay. Sally, I wish everyone had your enthusiasm. Oh my gosh, thank you. And Shivani both are great. I'm loving the smiles. You're even in your CNCF attire. Of course. Thank you both so much for being here. Hopefully we'll get to see you when we're in Paris. This has been a really exciting conversation. John, thank you for being here and your insights. I love that we both geek out on this as much as the other guy. I appreciate you being appreciated. Thank you. And thank you, viewers. Speaking of being grateful, we're grateful you're tuning in today to day two of KubeCon, CloudDate of Con, here in Chicago. My name's Savannah Peterson, and you're watching theCUBE, the leading source for emerging tech news.