CNCF Jaeger, a Distributed Tracing Platform
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Jaeger, inspired by Dapper and OpenZipkin, is a distributed tracing platform created by Uber Technologies and donated to Cloud Native Computing Foundation. It can be used for monitoring microservices-based distributed systems:
Jaeger is hosted by the Cloud Native Computing Foundation (CNCF) as the 7th top-level project (graduated in October 2019). If you are a company that wants to help shape the evolution of technologies that are container-packaged, dynamically-scheduled and microservices-oriented, consider joining the CNCF. For details about who's involved and how Jaeger plays a role, read the CNCF Jaeger incubation announcement and Jaeger graduation announcement.
Jaeger is an open source project with open governance. We welcome contributions from the community, and we’d love your help to improve and extend the project. Here are some ideas for how to get involved. Many of them don’t even require any coding.
Jaeger backend is designed to have no single points of failure and to scale with the business needs. For example, any given Jaeger installation at Uber is typically processing several billions of spans per day.
Jaeger backend, Web UI, and instrumentation libraries have been designed from the ground up to support the OpenTracing standard. * Represent traces as directed acyclic graphs (not just trees) via span references * Support strongly typed span tags and structured logs * Support general distributed context propagation mechanism via baggage
On 28-May-2019, the OpenTracing and OpenCensus projects announced their intention to merge into a new CNCF project called OpenTelemetry. The Jaeger and OpenTelemetry projects have different goals. OpenTelemetry aims to provide APIs and SDKs in multiple languages to allow applications to export various telemetry data out of the process, to any number of metrics and tracing backends. The Jaeger project is primarily the tracing backend that receives tracing telemetry data and provides processing, aggregation, data mining, and visualizations of that data. The Jaeger client libraries do overlap with OpenTelemetry in functionality. OpenTelemetry will natively support Jaeger as a tracing backend and eventually might make Jaeger native clients unnecessary. For more information please refer to a blog post Jaeger and OpenTelemetry.
Jaeger supports two popular open source NoSQL databases as trace storage backends: Cassandra and Elasticsearch. There is also embedded database support using Badger. There are ongoing community experiments using other databases, such as ScyllaDB, InfluxDB, Amazon DynamoDB. Jaeger also ships with a simple in-memory storage for testing setups.
Jaeger backend is distributed as a collection of Docker images. The binaries support various configuration methods, including command line options, environment variables, and configuration files in multiple formats (yaml, toml, etc.) Deployment to Kubernetes clusters is assisted by Kubernetes templates and a Helm chart.
Third-party security audits of Jaeger are available in https://github.com/jaegertracing/security-audits. Please see Issue #1718 for the summary of available security mechanisms in Jaeger.
Although we recommend instrumenting applications with OpenTracing API and binding to Jaeger client libraries to benefit from advanced features not available elsewhere, if your organization has already invested in the instrumentation using Zipkin libraries, you do not have to rewrite all that code. Jaeger provides backwards compatibility with Zipkin by accepting spans in Zipkin formats (Thrift or JSON v1/v2) over HTTP. Switching from Zipkin backend is just a matter of routing the traffic from Zipkin libraries to the Jaeger backend.
Below are the official maintainers of the Jaeger project. Please use
@jaegertracing/jaeger-maintainersto tag them on issues / PRs.
Some repositories under jaegertracing org have additional maintainers.
The Jaeger contributors meet bi-weekly, and everyone is welcome to join. Agenda and meeting details here.
Reach project contributors via these channels:
Jaeger as a product consists of multiple components. We want to support different types of users, whether they are only using our instrumentation libraries or full end to end Jaeger installation, whether it runs in production or you use it to troubleshoot issues in development.