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CI/CD Observability with OpenTelemetry Step by Step Guide


In the fast-paced world of CI/CD, understanding the performance and behaviour of your pipelines is crucial. In this guide, we'll walk through setting up OpenTelemetry for GitHub Actions, with practical examples and configuration snippets.

GitHub Actions has become a popular choice for automating builds and deployments, but anyone who's debugged a flaky workflow or long-running job knows how challenging it can be to get visibility into what's happening under the hood. Traditionally, engineering teams have monitored CI pipelines using ad-hoc methods, maybe exporting build logs to an ELK stack, timing data to Prometheus, or using CI-specific analytics. This processor inserts 'service.name=<service-name>' into all telemetry data flowing through the pipeline, making it easier to search and slice them later in our dashboards and queries.

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