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Aurora’s Cloud Observability Lead, Craig Sebenik, shares how the self-driving technology company unified metrics, logs, traces, and profiling using Grafana Cloud. Learn how Aurora migrated from multiple vendors, adopted adaptive telemetry to control cost, simplified developer workflows, and delivered a single pane of glass for incident resolution across 30+ Kubernetes clusters. Chapters: 00:00 – Introduction & Craig’s Background 00:52 – What Aurora Does & Why Observability Matters 01:40 – Growth After Uber ATG Acquisition 02:49 – Aurora’s Cluster Types & Infra Landscape 03:34 – Early Observability Stack & Challenges 05:42 – Why “Best of Breed” Created More Problems 07:56 – The Swivel-Chair Problem & Time-Zone Chaos 09:00 – Requirements for a Unified Observability Platform 09:58 – Why Aurora Chose Grafana Cloud 11:51 – Metrics Migration: Wins & Surprises 14:16 – Dealing with Cardinality & Cost Visibility 16:19 – Logging & Tracing Migration: The Hard Part 18:36 – Frontend Observability & Sentry Reduction 19:29 – Adaptive Telemetry: Metrics, Logs & Profiles 21:23 – Profiling Adoption & Cost Controls 23:04 – Single Pane of Glass: Incident Reduction 24:04 – Annotation Strategy & Loki Integration 24:58 – eBPF/Beyla & Low-Code Instrumentation 25:54 – Future Plans: SLOs, AI Assistant & More Data Sources Resources: ☁️ Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, and traces. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more. We also have plans for every use case. Sign up: https://grafana.com/get/ ❓ Have a question that isn't related to this video? Check out the Official Grafana Community Forums and ask your question or find your answer: https://community.grafana.com/ --- Thanks for watching! 👍 Was this video helpful? Like and subscribe to our channel for more videos. Connect with Grafana Labs: X: ( / grafana ) LinkedIn: ( / grafana-labs ) Facebook: ( / grafana ) #Grafana #Observability