NoSQL: Tracing Distributed Systems With Twitter Zipkin

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Tracing Distributed Systems With Twitter Zipkin

Whenever a request reaches Twitter, we decide if the request should be sampled. We attach a few lightweight trace identifiers and pass them along to all the services used in that request. By only sampling a portion of all the requests we reduce the overhead of tracing, allowing us to always have it enabled in production. The Zipkin collector receives the data via Scribe and stores it in Cassandra along with a few indexes. The indexes are used by the Zipkin query daemon to find interesting traces to display in the web UI.

tags:distributed systems,zipkin,finagle,twitter

via NoSQL databases