Jaeger is used for monitoring and troubleshooting microservices-based distributed systems, including:
- Distributed context propagation
- Distributed transaction monitoring
- Root cause analysis
- Service dependency analysis
- Performance / latency optimization
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 billion spans per day.
Native support for OpenTracing
Jaeger backend, Web UI, and instrumentation libraries have been designed from 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
Multiple storage backends
Jaeger supports two popular open source NoSQL databases as trace storage backends: Cassandra 3.4+ and Elasticsearch 5.x/6.x/7.x. 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.
Modern Web UI
Cloud Native Deployment
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 a Kubernetes operator, Kubernetes templates and a Helm chart.
Backwards compatibility with Zipkin
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, JSON v1/v2 and Protobuf) over HTTP. Switching from Zipkin backend is just a matter of routing the traffic from Zipkin libraries to the Jaeger backend.