Part of https://github.com/open-telemetry/opentelemetry-go/issues/5249 ### Spec https://opentelemetry.io/docs/specs/otel/metrics/sdk/#exemplarfilter > The ExemplarFilter configuration MUST allow users to select between one of the built-in ExemplarFilters. While ExemplarFilter determines which measurements are eligible for becoming an Exemplar, the ExemplarReservoir makes the final decision if a measurement becomes an exemplar and is stored. > The ExemplarFilter SHOULD be a configuration parameter of a MeterProvider for an SDK. The default value SHOULD be TraceBased. The filter configuration SHOULD follow the [environment variable specification](https://opentelemetry.io/docs/specs/otel/configuration/sdk-environment-variables/#exemplar). > An OpenTelemetry SDK MUST support the following filters: > * [AlwaysOn](https://opentelemetry.io/docs/specs/otel/metrics/sdk/#alwayson) > * [AlwaysOff](https://opentelemetry.io/docs/specs/otel/metrics/sdk/#alwaysoff) > * [TraceBased](https://opentelemetry.io/docs/specs/otel/metrics/sdk/#tracebased) ### Changes * adds exemplar.AlwaysOffFilter, which is one of the required filters from the SDK: https://opentelemetry.io/docs/specs/otel/metrics/sdk/#alwaysoff * adds `metric.WithExemplarFilter` as an option for the metrics SDK. * moves handling of `OTEL_METRICS_EXEMPLAR_FILTER` to the same location as config handling to make code easier to navigate. dropReservoir can actually be removed, but I plan to do that in a follow-up refactor, since it will be a large diff. --------- Co-authored-by: Damien Mathieu <42@dmathieu.com> Co-authored-by: Tyler Yahn <MrAlias@users.noreply.github.com> Co-authored-by: Chester Cheung <cheung.zhy.csu@gmail.com>
OpenTelemetry-Go
OpenTelemetry-Go is the Go implementation of OpenTelemetry. It provides a set of APIs to directly measure performance and behavior of your software and send this data to observability platforms.
Project Status
Signal | Status |
---|---|
Traces | Stable |
Metrics | Stable |
Logs | Beta1 |
Progress and status specific to this repository is tracked in our project boards and milestones.
Project versioning information and stability guarantees can be found in the versioning documentation.
Compatibility
OpenTelemetry-Go ensures compatibility with the current supported versions of the Go language:
Each major Go release is supported until there are two newer major releases. For example, Go 1.5 was supported until the Go 1.7 release, and Go 1.6 was supported until the Go 1.8 release.
For versions of Go that are no longer supported upstream, opentelemetry-go will stop ensuring compatibility with these versions in the following manner:
- A minor release of opentelemetry-go will be made to add support for the new supported release of Go.
- The following minor release of opentelemetry-go will remove compatibility testing for the oldest (now archived upstream) version of Go. This, and future, releases of opentelemetry-go may include features only supported by the currently supported versions of Go.
Currently, this project supports the following environments.
OS | Go Version | Architecture |
---|---|---|
Ubuntu | 1.23 | amd64 |
Ubuntu | 1.22 | amd64 |
Ubuntu | 1.23 | 386 |
Ubuntu | 1.22 | 386 |
Linux | 1.23 | arm64 |
Linux | 1.22 | arm64 |
macOS 13 | 1.23 | amd64 |
macOS 13 | 1.22 | amd64 |
macOS | 1.23 | arm64 |
macOS | 1.22 | arm64 |
Windows | 1.23 | amd64 |
Windows | 1.22 | amd64 |
Windows | 1.23 | 386 |
Windows | 1.22 | 386 |
While this project should work for other systems, no compatibility guarantees are made for those systems currently.
Getting Started
You can find a getting started guide on opentelemetry.io.
OpenTelemetry's goal is to provide a single set of APIs to capture distributed traces and metrics from your application and send them to an observability platform. This project allows you to do just that for applications written in Go. There are two steps to this process: instrument your application, and configure an exporter.
Instrumentation
To start capturing distributed traces and metric events from your application it first needs to be instrumented. The easiest way to do this is by using an instrumentation library for your code. Be sure to check out the officially supported instrumentation libraries.
If you need to extend the telemetry an instrumentation library provides or want to build your own instrumentation for your application directly you will need to use the Go otel package. The examples are a good way to see some practical uses of this process.
Export
Now that your application is instrumented to collect telemetry, it needs an export pipeline to send that telemetry to an observability platform.
All officially supported exporters for the OpenTelemetry project are contained in the exporters directory.
Exporter | Logs | Metrics | Traces |
---|---|---|---|
OTLP | ✓ | ✓ | ✓ |
Prometheus | ✓ | ||
stdout | ✓ | ✓ | ✓ |
Zipkin | ✓ |
Contributing
See the contributing documentation.