BUILDING A FAULT-TOLERANT METRICS STORAGE SYSTEM AT AIRBNB

Summary from the TLDR Dev newsletter

To manage 1.3 billion active time series at such a large scale, Airbnb developed a fault-tolerant metrics storage system using shuffle sharding and a multi-cluster architecture for improved resiliency and isolation. This automated solution successfully stabilized data operations and streamlined deployments by treating clusters as disposable components, despite the added complexity of federated querying.