Kubernetes Podcast from Google covers the Kubernetes project from the inside, through interviews with the people who maintain it, document it and ship it. Kaslin Fields and Abdel Sghiouar host. Some interviews are recorded solo, including two that Kaslin Fields recorded at KubeCon North America 2025 in Atlanta. Episodes often follow a set pattern. News comes first: Knative reaching the CNCF graduated maturity level, GKE Autopilot becoming available inside standard clusters, a GKE anniversary hackathon built around agentic AI, the KubeCon schedule going live. Then the guest takes over. Release episodes are a fixture, since the hosts treat inviting each upcoming version's release lead as a show tradition. In 'Kubernetes 1.35: Timbernetes, with Drew Hagen', the conversation covers the count of enhancements heading to stable, beta and alpha, plus the deprecations. Drew Hagen, a senior DevOps engineer, describes the lead role as delegation, coordination and making the final calls, with release shadows in other time zones often catching issues first. 'Kubernetes 1.34 Of Wind & Will, With Vyom Yadav' features a software engineer from the security team at Canonical. That conversation looks at why an option called 'prefer close' reads as vague next to 'prefer same zone' and 'prefer same node'. It also reassures anyone worried about YAML: a new alpha option is itself YAML, and YAML is staying. Beyond releases, the show spends time with individual SIGs. Antonio Ojea, a core maintainer and a tech lead of SIG Networking and Testing, explains that Ingress is considered frozen, that new features go into Gateway API, and that the project still wants to know what keeps most users on Ingress. The same conversation mentions the Inference Gateway, an extension for better routing to models. Shannon Kularathna, a technical writer, talks with Kaslin Fields about SIG Docs work such as regenerating reference pages for every release, and asks for more help reviewing blog posts. That episode opens with a Reddit joke about crying through the official documentation. Later it drifts into how to say kubectl, and one speaker compares a cuter pronunciation to a crab scuttling across the screen. Google's own managed service gets airtime too. Gari Singh looks back on ten years of GKE and weighs extensibility against a stable core, citing DRA upstream, TPUs that should not feel like foreign add-ons, node auto provisioning and custom compute classes. Janet Kuo describes AI conformance as a superset of regular conformance, created because AI workloads bring their own networking and accelerator requirements. The talk is friendly and technical, with the jargon left in and the jokes kept light. A release-lead episode gives the widest view of how the project moves. The SIG interviews suit anyone who wants to go deep on one area.