Let’s be honest: debugging production at scale is soul-crushing manual labor. At Google, we decided making thousands of SREs act like human search engines in 2026 was a bug, not a feature. Enter the Agentic SRE Extension — a skill-based framework that lives in your terminal and actually knows its way around Kubernetes. In this high-energy deep dive, I’m showing you exactly how we use modular skills and MCP to chain diagnostic tools, analyze metric regressions, and execute safe mitigations (Rollbacks, Throttling) without the "deleted production" anxiety. We’ll dissect the "Outage Investigator" agent's logic loop, see it draft a technical postmortem in seconds, and discuss why we built this as a portable framework whose skills can be easily leveraged by any modern AI harness. You’ll leave with the code to wire up your own Kubernetes stack and let the agent's skills do the heavy lifting while you drink espresso. No fluff, no 101s. Just AI agents, specialized skills, and less toil.
Riccardo loves caipirinhas and 🍷 Amarone, playing 🎹 piano and 🏊🏻🚴🏿🏃♀️ triathlons; he's been passionate about Mathematics since he was 4. He's still in love with Ruby and Rails. Former network administrator, sysadmin, and Ruby on Rails developer, Riccardo has been in operations for 20+ years and still likes to spend time coding (better if Ruby). He loves engaging with customers and help them run their operations reliably and successfully in the cloud. He co-authored the SRE Extension. More: https://g.dev/ricc
