Buying snapshot
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| Decision point | What the OpenTelemetry project states |
|---|---|
License | The project calls itself 100% open source. The specification repository is under the Apache-2.0 license. |
How you install it | Add the OpenTelemetry APIs and SDKs to your code, or use automatic instrumentation agents for popular frameworks and libraries, which need no source code changes. |
What you run | The OpenTelemetry Collector, deployed as an agent or gateway to receive, process and export telemetry. |
Where it runs | On-premises, in hybrid environments or across multiple clouds. |
Signals | Traces, metrics, logs and baggage (contextual metadata). |
Languages | Native SDKs for 12+ languages, including Java, Kotlin, Python, Go, JavaScript, .NET, Ruby, PHP, Rust, C++, Swift and Erlang. |
Stability | The project states that tracing and metrics APIs are stable across all major languages. |
Governance | A CNCF graduated project with open specifications for APIs, SDKs and the OTLP wire protocol. |
Our take
Adopt OpenTelemetry if you expect to change, compare or combine observability backends, or if your services are written in several languages and need the same instrumentation. If you plan to stay with one vendor for the long term and want the shortest setup, the extra layer brings less value, because OpenTelemetry collects and exports telemetry but leaves the analysis to the backend you pick.
Evaluate OpenTelemetry
Comparisons
Where it stands out
Instrument once, change backends later. You instrument code with the OpenTelemetry APIs and SDKs and export to any observability backend, such as Jaeger, Prometheus, a commercial vendor or your own system. The project says you can switch backends without touching application code, which lowers the cost of leaving a vendor.
Correlated signals across services. Context propagation carries shared context through the whole request path, so traces, metrics and logs from different services can be connected into one view. This is most useful when one request passes through many services.
Telemetry processing outside the application. The Collector can process, filter and route telemetry, and the project lists 200+ Collector components. Teams can change what is sent where in the Collector instead of in each service.
Wide ecosystem. The project lists 1151+ integrations and 105+ vendors. A wide ecosystem makes it easier to find an exporter or integration for the tools you already use.
Versioned specification. Changes to the specification follow Semantic Versioning 2.0, and each implementation should state which specification version it implements. This helps you check what a given SDK supports before you upgrade.
Product screenshot
Trade-offs to weigh
A backend is a separate decision and cost. OpenTelemetry sends telemetry to a backend you choose and run or buy, such as Jaeger, Prometheus or a commercial vendor. Your total cost depends on that backend and on how much telemetry you send to it.
The Collector is one more service to operate. If you route data through the Collector as an agent or gateway, your team has to deploy it, size it and keep its configuration up to date.
Many parts to learn. A setup can involve the specification, language SDKs, automatic instrumentation agents, the Collector and the OTLP protocol. Teams new to distributed tracing should plan time to learn how these parts fit together.
Check the status of logs in your language. The project's stability statement covers the tracing and metrics APIs. If structured logs are central to your use, confirm the status of the logs signal in the SDK for your language before you depend on it.
Public signals
About these signals
Verified factual signals from public sources. They indicate observable activity or interest, not total adoption, product quality, or cost.
97 GitHub commits 90d4.4k GitHub stars0 vulnerabilities across 1 package
See all signals from 6 sources
npm · @opentelemetry/sdk-node@0.300.0
Alternatives and related tools
Jaeger and Prometheus. The project names both as backends that OpenTelemetry can export to. Treat them as possible partners for storing and analysing the data, not as replacements for the instrumentation layer.
OpenTracing and OpenCensus. OpenTelemetry was formed through a merger of these two projects and builds on their experience. Teams still on either one can treat OpenTelemetry as the successor to plan a move to.
Alternatives to OpenTelemetry
Where OpenTelemetry sits against the products teams weigh it up with.
Related technologies
Normally used together rather than chosen between, so these are not alternatives.