Jaeger solves the trace-correlation problem
Jaeger is infrastructure for answering a difficult operational question: where did one request spend its time as it crossed several services? Applications send OpenTelemetry trace data over HTTP or gRPC, the collector writes it to storage, and the query service feeds a browser UI. That scope is focused. Jaeger is not presented as an all-purpose monitoring suite, and it does not replace the metrics and logs that explain system-wide behavior or detailed events.
The project began at Uber and now sits under open CNCF governance. It graduated in October 2019, and the repository has 23,156 stars. Those facts do not guarantee that it suits every environment, but they reduce the institutional risk compared with adopting a tracing server maintained by one vendor or a tiny team. Jaeger v2 also builds on OpenTelemetry Collector components, which places it in the mainstream cloud-native telemetry path rather than tying instrumentation to a Jaeger-only SDK.
Our run passed every measured test
We cloned commit 6b5e1a7 into an unprivileged Debian sandbox with 3 CPUs, 8 GB of RAM, no secrets, and the golang:1.24-bookworm image. Installation succeeded in 113 seconds and installed 598 packages. The repository is substantial: 2,897 files, roughly 318,912 lines of source, and an 18.7 MB checkout. Those figures describe build complexity, not runtime capacity, and they should not be mistaken for a throughput benchmark.
The build then succeeded in 226 seconds. Our run completed the Go tests in 116 seconds, with 273 passed and 0 failed out of 273. That clean result matters more than a badge because it came from a fresh environment we controlled. We found 41 CI workflow files, no Dockerfile, and no top-level tests directory. The latter 2 observations are repository-layout signals only, not evidence that container images or tests are absent, especially because the Go test command demonstrably found and passed tests.
The quick start is genuinely quick, but only for evaluation
The README gives a useful Docker command that starts an all-in-one instance with the UI, collector, query service, and in-memory storage. It exposes the UI on port 16686 and accepts OTLP over gRPC on 4317 or HTTP on 4318. That is an excellent evaluation path: a developer can connect an instrumented service without first assembling four separate components. The architecture diagram also makes the flow from SDK to collector, storage, query service, and UI unusually easy to understand.
Production is a different proposition. In-memory storage is not durable, so operators must select and manage a supported backend, capacity, retention, access controls, and backup behavior. The README names policies for Elasticsearch 9.x, OpenSearch, Cassandra, and ClickHouse LTS releases, rather than pretending every historical backend version receives equal care. This is responsible documentation, but it also exposes the ongoing work: Jaeger becomes part of the platform, with its own storage compatibility and upgrade schedule.
Compatibility promises are specific enough to plan around
Jaeger's deprecation policy is one of its strongest operational features. A deprecated configuration option receives a grace period of at least 3 months or 2 minor releases, whichever is later, and notices are expected to identify a date or version. That does not eliminate migration work, especially because Jaeger inherits moving parts from the OpenTelemetry Collector, but it gives platform teams a concrete window for change management instead of vague assurances about stability.
There is an important limit for Go developers: all importable code has moved into internal packages. Jaeger should therefore be treated as deployed infrastructure, not as a convenient public Go toolkit around which to build another product. Its Go support policy also tracks the language team's supported releases and may drop N-1 soon after version N arrives. That approach keeps the project current, but organizations pinned to older compilers need to account for it before upgrading Jaeger.
Healthy activity does not erase operational rough edges
The latest listed release, v2.20.0, arrived on July 20, 2026, and the repository was pushed on August 28, 2026, one day before this review. Combined with 41 workflow files and a perfect measured test result, that looks like active maintenance. The 554 open issues are a meaningful queue, but issue volume alone is not neglect in a widely deployed infrastructure project. It is better read as evidence of a large surface area that deserves release-note and issue searches before each upgrade.
The main weakness is not build quality, it is ownership cost. A trace system only becomes useful after services emit consistent spans, sampling preserves the right requests, storage remains affordable, and operators can connect trace findings to logs and metrics. Jaeger supplies the tracing path and UI, but the README evidence does not promise automatic instrumentation, effortless security, or a managed backend. Teams that expect the Docker demo to become production by changing one flag will encounter substantially more design work.
It belongs beside metrics and logs in an existing platform
In a real stack, OpenTelemetry SDKs sit inside applications and send OTLP to Jaeger's collector. Jaeger then writes to the selected storage system, while its query service and UI support incident investigation. Put authentication and network policy around the exposed services according to your environment, and keep metrics and centralized logs alongside it. This division lets Jaeger answer request-path questions without forcing it to become the only observability interface.
Jaeger is an easy recommendation for platform teams that need self-hosted tracing and can operate stateful dependencies. Its v2 architecture, explicit compatibility windows, recent activity, and our 273-of-273 test result all support that conclusion. It is a poor default for a small monolith with occasional debugging needs, and it is not the lowest-effort choice for teams willing to buy a managed service. The deciding question is less whether Jaeger works, and more whether tracing is valuable enough to justify owning the pipeline.