Rebooting Enterprise AI with MCP and Kubernetes

Welcome to the Practical AI podcast, where we break down the real world applications of artificial intelligence and how it's shaping the way we live, work, and create. Our goal is to help make AI technology practical, productive, and accessible to everyone. Whether you're a developer, business leader, or just curious about the tech behind the buzz, you're in the right place. Be sure to connect with us on LinkedIn, X, or Blue Sky to stay up to date with episode drops, behind the scenes content, and AI insights. You can learn more at practicalai.fn. Now on to the show. Welcome to another episode of the Practical AI podcast. This is Daniel Leitnak. I am CEO of Prediction Guard, and I'm joined as always by my co host, Chris Benson, who is a principal AI and autonomy research engineer. How are you doing, Chris? Doing great today, Daniel. How's it going? It's it's going it's going really good. I I feel like I'm going to, you know, just add a bunch of tools to my to my toolkit today, via via MCP, because today, we have with us Craig McLuckie, who is CEO of Stack Lock, which we'll learn a little bit more about and, of course, talk a a good bit about MCP and other things. Welcome, Craig. It's great to have you. Hey. Thanks for having me on the show. Yeah. Well, I I kind of I mean, and people can look, look up the the projects, that you're working on now in Stack Lock. A lot of that has to do with MCP and AI on top of Kubernetes. Do you wanna just give us a a little bit of a of a kind of setup of why you are spending your time thinking about this intersection of AI, MCP, Kubernetes? Yeah. I mean, I think for me, it's it's sort of interesting. And my you know, maybe I can just introduce my background a little bit. You know, I'm an infrastructure guy. I've been building infrastructure technology for pretty much the totality of my career. You know, I built a lot of infrastructure tech when I was at Microsoft. And then at Google, I was, happy to meet my friend Joe, and we built out a Google Compute Engine, which is, you know, virtual machine infrastructure technology. We started the Kubernetes project, did a few other things, you know, inside there. We and subsequently, we've built a lot of other, technologies together, you know, either as in the startup context or or as part of, larger companies. You know, I think for me, there's this sort of a lot of interesting parallels. I think, you know, history doesn't repeat itself, but it often rhymes. And, you know, one of the things that, you know, that got me really kinda captivated by this whole MTP thing was you know, taking me back to my earlier career, I remember the first time I saw Docker. And so Docker …