Building a fault-tolerant metrics storage system at Airbnb

Airbnb built a metrics storage system ingesting 50 million samples per second and storing 1.3 billion active time series.

• •Implemented per-service tenancy with shuffle sharding to isolate failures and prevent tenant overload
• •Developed a consolidated control plane for automated tenant onboarding and configuration management
• •Improved write reliability through benchmarking and per-replica limits, read performance with query sharding
• •Deployed stateful components across three zones for fault tolerance
• •Adopted multi-cluster architecture to reduce blast radius and achieve over 99.9% availability

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