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Endigest AI Core Summary
Airbnb shares hard-won lessons from migrating its observability platform from third-party vendors to a custom in-house solution built on Prometheus across 1,000 services.
•Vendor costs were rising without improving MTTD/MTTR, as vendors charge by data ingested rather than by insight quality, limiting Airbnb's ability to optimize workflows
•Migration v1 failed by targeting the most complex service first, resulting in false alarms, misaligned dashboards, and high customer onboarding friction
•Migration v2 succeeded by starting with a simpler, tractable service to validate the strategy, surface UX gaps early, and build organizational confidence
•A metadata engine was built into the translation layer to migrate query intent rather than one-to-one queries, correcting flawed patterns like averaging values that should be p95
•Adopting PromQL provided a mature, well-documented ecosystem understood by both engineers and LLMs, enabling a clean reset of muscle memory from the legacy system
This summary was automatically generated by AI based on the original article and may not be fully accurate.