What does good incident response look like end-to-end? Platform, AI & more

AI is pushing more changes to production faster than ever, but incident response only keeps up when responders have the right context from the very first alert. In this session, host Sam Barlien, Head of Ecosystem at Platform Engineering Community, is joined by Datadog's Sam Rodman, Senior PM, Incident Management, and Jessie Wu, Product Manager, IDP Catalog & Teams, to show how a platform-maintained service catalog powers incident response and turns every postmortem into better readiness. 0:00 Welcome and intros 1:59 What this session covers 3:18 AI as an amplifier: the DORA frame 4:11 What fast incident response requires 5:13 Connecting the incident life cycle 5:51 How Datadog connects incident response 7:00 Demo: declaring an incident with full context 9:16 Running the response in Slack 11:12 Working alongside Bits AI 13:46 The incident timeline and AI postmortems 15:44 AI-led incident investigations 18:07 The IDP catalog as the source of truth 20:55 How the catalog gets built 21:46 Keeping catalog metadata accurate 22:23 Scorecards for incident readiness 24:41 Closing the learning loop 27:15 Q&A: ServiceNow and partial Datadog adoption 29:50 Q&A: AI root cause analysis and postmortems 33:28 Q&A: what happens when catalog metadata drifts 35:13 Wrap-up Ready to level up? 🚀 Get your copy of the book, Thinking in Platforms, and learn how to build the context layer your responders will thank you for at 3 a.m.: https://weaveintelligence.io/thinking-in-platforms-book And keep the momentum going! Continue your platform engineering journey with Platform Engineering University, where you'll build the skills to design platforms that make every incident faster to resolve and easier to learn from: https://university.platformengineering.org/ #PlatformEngineering #IncidentResponse #SRE