Set up Tracing on Codefresh Pipelines

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Overview

Codefresh is a continuous integration and delivery platform built for Kubernetes which offers automation features that streamline the building, testing, and deploying of your applications.

Set up tracing in Codefresh to collect data on each step of your pipelines, analyze performance bottlenecks, troubleshoot operational challenges, and monitor your deployment workflows.

Compatibility

Pipeline VisibilityPlatformDefinition
Partial retriesPartial pipelinesView partially retried pipeline executions.
Manual stepsManual stepsView manually triggered pipelines.
ParametersParametersSet custom parameters (for example, Codefresh variables) when a pipeline is triggered.
Pipeline failure reasonsPipeline failure reasonsIdentify pipeline failure reasons from error messages.
Filter CI Jobs on the critical pathFilter CI Jobs on the critical pathFilter by jobs on the critical path.
Execution timeExecution timeView the amount of time pipelines have been running jobs.

Configure the Datadog integration

To set up the Datadog integration for Codefresh:

  1. Go to Account Settings > Configuration > Integrations in Codefresh and click Configure on the Datadog row.
  2. Click Add Integration.
  3. Fill the form with the following information:
  4. Click Save to save the integration.

Visualize pipeline data in Datadog

The CI Pipeline List and Executions pages populate with data after the pipelines finish.

The CI Pipeline List page shows data for only the default branch of each repository. For more information, see Search and Manage CI Pipelines.

Further reading

Additional helpful documentation, links, and articles:

Explore Pipeline Execution Results and PerformanceDOCUMENTATION more more Troubleshooting CI VisibilityDOCUMENTATION more more