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gorilla

gorilla

陈重丶
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Large-scale internet services aim to remain highly availableand responsive in the presence of unexpected failures. Pro-viding this service often requires monitoring and analyzingtens of millions of measurements per second across a largenumber of systems, and one particularly effective solutionis to store and query such measurements in a time seriesdatabase (TSDB).A key challenge in the design of TSDBs is how to strikethe right balance between efficiency, scalability, and relia-bility. In this paper we introduce Gorilla, Facebook’s in-memory TSDB. Our insight is that users of monitoring sys-tems do not place much emphasis on individual data pointsbut rather on aggregate analysis, and recent data points areof much higher value than older points to quickly detect anddiagnose the root cause of an
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