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Overview
Jaeger is a distributed tracing platform for investigating how requests move across services and where latency or failures occur. Its Collector accepts OTLP data from OpenTelemetry SDKs, writes traces to storage, and exposes them through the Query Service and web UI. The project is graduated within the Cloud Native Computing Foundation.
Features and best fit
Based on official documentation; not hands-on tested · Content checked:
Key features
Follow one trace across service boundaries
The Collector receives spans emitted by application OpenTelemetry SDKs and relates them into traces. Through the Query Service and web UI, operators can inspect timing, parent-child relationships, and error locations across multiple services.
Sources: [1]
Separate collection, querying, and storage for the deployment
Jaeger v2 uses OpenTelemetry Collector components and lets operators arrange the Collector, Query Service, UI, and storage for their environment. Storage plugins connect the persistence layer, and the README documents support policies for Elasticsearch, OpenSearch, Cassandra, and ClickHouse.
Sources: [1]
Best fit
Fits investigation of latency and dependencies in service architectures
Jaeger fits teams that need to identify slow segments or downstream failures when one request crosses multiple services. It is also a candidate when OpenTelemetry is the common instrumentation standard from development troubleshooting through production observability.
Before adoption
Separate all-in-one evaluation from production and track compatibility
The Docker all-in-one example combines the UI, Collector, Query, and in-memory storage for quick evaluation. Production deployments must separately design persistent storage, retention, ingestion capacity, redundancy, authentication, and network exposure.
Because Jaeger v2 uses OpenTelemetry Collector components, dependency changes can deprecate configuration options. The project promises at least three months or two minor releases before eligible removal, but upgrades still require checking release notes and configuration compatibility.
Official sources
- [1]Jaeger v2.21.0 README(2026-10-04)
- [2]Jaeger v2.21.0 release(2026-10-04)
Supplemental curator note
Evaluate more than the trace UI: instrumentation standards, retention, query load, and storage-failure behavior all shape an operational deployment. The all-in-one image is for evaluation and should not be mistaken for a production availability design.
Try it in 3 steps
- 1
Pull the reviewed image
Pull the Jaeger v2.21.0 container image reviewed for this guide.
docker pull jaegertracing/jaeger:v2.21.0 - 2
Start all-in-one
Start the UI, Collector, Query service, and in-memory storage in one container.
docker run --rm --name jaeger -p 16686:16686 -p 4317:4317 -p 4318:4318 jaegertracing/jaeger:v2.21.0 - 3
Open the web UI
Open the Jaeger UI in a browser. OTLP is available over gRPC on 4317 and HTTP on 4318.
http://localhost:16686
Growth
Growth trends · Last 30 days
23,267 Stars
Trend data is still being collected.
Development activity
Last 90 days · weekly
- Commits (last 30 days)
- 142
- Open PRs
- 178
Development activity is still being collected.
Built with
Categories and tags
Categories
GitHub data
GitHub dataView detailed GitHub data
GitHub Topics
- distributed-tracing
- cncf
- tracing
- observability
- jaeger
- opentelemetry
- hacktoberfest
- Stars
- 23,267
- Forks
- 3,140
- Watchers
- 313
- Open issues
- 375
- Contributors
- 435
- Owner type
- Organization
- Primary language
- Go
- License
- Apache-2.0
- Repository last updated
- Oct 3, 2026
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