d616df61f5
* Fix flaky OTLP exporter reconnect test The tests that check the OTLP exporter will reconnect wait for the reconnect loop to complete, in theory. However, they do not yield the active goroutine scheduling. The reconnect loop is in its own goroutine meaning it is unlikely for that loop to be re-entered, especially on slow systems. This updates the tests call runtime.Gosched when waiting for the reconnect loop and yield the scheduling to other goroutines. * Add changes to changelog * Use time.After instead of Timer * Remove changelog entry
OpenTelemetry-Go
The Go OpenTelemetry implementation.
Project Status
Warning: this project is currently in a pre-GA phase. Backwards incompatible changes may be introduced in subsequent minor version releases as we work to track the evolving OpenTelemetry specification and user feedback.
Our progress towards a GA release candidate is tracked in this project board. This release candidate will follow semantic versioning and will be released with a major version greater than zero.
Progress and status specific to this repository is tracked in our local project boards and milestones.
Project versioning information and stability guarantees can be found in the versioning documentation.
Compatibility
This project is tested on the following systems.
| OS | Go Version | Architecture |
|---|---|---|
| Ubuntu | 1.15 | amd64 |
| Ubuntu | 1.14 | amd64 |
| Ubuntu | 1.15 | 386 |
| Ubuntu | 1.14 | 386 |
| MacOS | 1.15 | amd64 |
| MacOS | 1.14 | amd64 |
| Windows | 1.15 | amd64 |
| Windows | 1.14 | amd64 |
| Windows | 1.15 | 386 |
| Windows | 1.14 | 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.opentelemetry.io/otel/api package. The included 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.
You can find officially supported exporters here and in the companion contrib repository. Additionally, there are many vendor specific or 3rd party exporters for OpenTelemetry. These exporters are broken down by trace and metric support.
Contributing
See the contributing documentation.