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Zipkin

Open source

Distributed tracing system for finding latency in service calls

Zipkin preview

About Zipkin

Zipkin is an open source distributed tracing system. It collects timing data from services so that you can find where latency and failures come from in a system made of many services.

What it does

Applications are instrumented with a tracer library that reports timing data to Zipkin over HTTP, Kafka or other transports. You can look up a trace by its ID, or search by service, operation name, tags and duration. The interface summarises how much time each service took and whether operations failed. A dependency diagram shows how many traced requests moved between applications, which helps spot error paths and calls to old services.

Key features

  • Trace search by service, tag and duration
  • Summary of time spent in each service
  • Dependency diagram between applications
  • Reporting over HTTP, Kafka or gRPC
  • Storage in memory, Cassandra or Elasticsearch

Who it's for

Backend developers and operations engineers who run service-oriented systems and want a trace store they can host themselves. It is also a good starting point for learning how distributed tracing works.

Pricing and good to know

Zipkin is licensed under Apache-2.0 and the source is on GitHub, so there is no licence fee. Data kept only in memory is lost when the server restarts, so a persistent backend is needed for real retention. Applications must be instrumented before they report anything, and that work is different for each language.

Highlights

  • Search traces by service, tag and duration
  • Summary of time spent in each service
  • Dependency diagram between applications
  • Reporting over HTTP, Kafka or gRPC

Ratings & reviews

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