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The AI Kubernetes Show

The AI Kubernetes Show

The AI Kubernetes Show 30 Episodes Sep 23, 2026

The AI Kubernetes Show explores the practical challenges of running AI workloads on Kubernetes platforms. Episodes dig into real-world adoption stories, covering architecture decisions, tooling and operational pitfalls. Typical topics include GPU scheduling, model serving, autoscaling and resource management. The show is aimed at platform engineers, DevOps teams and machine learning practitioners working in cloud-native environments.

Episodes

Is It Easier to Write a Vulnerability Than to Find One?
Is It Easier to Write a Vulnerability Than to Find One? Sep 23, 2026 00:38:25 Static analysis tools used to be right about as often as a coin flip. Kathleen Goeschel, Principal Product Security Engineer at Red Hat, spent years using machine learning to fix that, and now she's watching large language models change both sides of the fight. How fast vulnerable code gets written, and how fast it gets found.Goeschel walks through how she trained machine learning models on ag
Durable Execution for AI Agents in Kubernetes
Durable Execution for AI Agents in Kubernetes Sep 9, 2026 00:44:16 If your AI agent restarts and loses everything it was doing, your platform team is stuck retrofitting recovery logic Kubernetes was never built for. Mark Fussell, CEO of Diagrid and creator of the Dapr project, joins the AI Kubernetes Show to explain why that's the real infrastructure problem in the agentic AI era, not the model.Fussell built the platform running Azure SQL Server at scale duri
Matt Barker (BoltMCP) on SPIFFE, AI Agent Identity, and Kubernetes
Matt Barker (BoltMCP) on SPIFFE, AI Agent Identity, and Kubernetes Aug 26, 2026 00:46:44 AI-generated code is 40% more likely to leak a secret. Matt Barker, co-founder of the company that built cert-manager and later led secure workload access at CyberArk, explains why SPIFFE might finally fix workload identity for AI agents.Matt and William Morgan cover why SPIFFE replaces long-lived secrets with short-lived, cryptographic workload identities, what Matt is building at BoltMCP to cont
Disaggregated Inference on Kubernetes
Disaggregated Inference on Kubernetes Aug 12, 2026 00:56:35 Every LLM inference request splits into two phases with completely different hardware profiles: pre-fill and decode. But most Kubernetes clusters still run them on the same pod. Morgan Foster, who works on the llm-d project and the AI Gateway Working Group out of Red Hat's Office of the CTO, joins William Morgan to explain what that means. Foster and Morgan get into why real-time inference wor
The State of Cloud Native AI and What’s Still Evolving
The State of Cloud Native AI and What’s Still Evolving Jul 29, 2026 00:48:19 There is no agreed upon definition of what cloud native AI means yet, but if you're trying to figure out where Kubernetes AI standards are really headed, check out this episode with someone who's worked on the CNCF's first attempt to define cloud native AI. William Morgan talks with Ron Petty (RXM, CNCF founding contributor, and member of the CNCF's TCG AI) about what's actuall
Treat Testing as a Platform Service on Kubernetes
Treat Testing as a Platform Service on Kubernetes Jul 15, 2026 00:48:12 Most testing tools bolt onto a CI pipeline and hope for the best. Ole Lensmar, CTO of Testkube, built a company that changes that script. Pull test execution out of CI/CD entirely and run tests as Kubernetes workloads instead.In this episode, Lensmar walks through why Testkube uses Kubernetes as its test execution engine, running Selenium, Playwright, K6, JMeter, and Postman tests as cluster workl
LLM Inference on Kubernetes: New Primitives, Real Challenges
LLM Inference on Kubernetes: New Primitives, Real Challenges Jul 1, 2026 00:43:33 Running LLM inference on Kubernetes requires new primitives for routing, autoscaling, and GPU scheduling. Here's what platform engineers need to know.
Running Multi-agent AI on Kubernetes: Lessons from Imagine Learning
Running Multi-agent AI on Kubernetes: Lessons from Imagine Learning Jun 17, 2026 00:48:09 In this episode of The AI Kubernetes Show, Blake Romano, Staff Software Engineer at Imagine Learning, walks through what it actually looks like to build and run AI agents on Kubernetes at scale. He talks about the architecture choices, the failures, and why the organizational context you bring to the LLM matters more than which Software Development Kit (SDK) you use.Imagine Learning is a K-12 educ
AI Agents Security: Guardrails & Production on Kubernetes
AI Agents Security: Guardrails & Production on Kubernetes Jun 3, 2026 00:41:46 Learn platform-level security patterns for AI agents on Kubernetes. Close the production gap with LLM guardrails, tool filtering, and short-lived tokens.
Platform Engineering & Kubernetes: Guardrails For AI Code
Platform Engineering & Kubernetes: Guardrails For AI Code May 20, 2026 00:53:57 Learn how Schonfeld scaled their internal AI platform, SchonAI, using Kubernetes and established guardrails to manage AI agent code volume. Build your AI-native workflow now.
One Dependency Away: Supply Chain Security in the Age of AI
One Dependency Away: Supply Chain Security in the Age of AI May 6, 2026 00:50:13 Secure your Kubernetes environment. Learn why zero trust cybersecurity is the only defense against AI agents and non-deterministic agentic software in your supply chain.
Moving from Single Agents to AI Agent Fleets
Moving from Single Agents to AI Agent Fleets Jan 14, 2026 00:27:03 The future of software development isn't about single agents—it's about building AI agent fleets! Dive into this conversation with Okteto CEO Ramiro Berrelleza to understand how this shift is fundamentally changing platform engineering and accelerating developer productivity. In this episode of The AI Kubernetes Show, we sat down with Ramiro to discuss AI adoption and the need for constant

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