Pipeline Visibility in Datadog

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Overview

Pipeline Visibility provides a pipeline-first view into your CI health by displaying important metrics and results from your pipelines. It helps you troubleshoot pipeline failures, address performance bottlenecks, and track CI performance and reliability over time.

Setup

Select your CI provider to set up Pipeline Visibility in Datadog:

AWS CodePipeline

Custom Tags and Metrics

Terminology

While the concept of a CI pipeline may vary depending on your provider, see how those concepts correspond to the definition of a CI pipeline in Datadog Pipeline Visibility:

Datadog	GitHub Actions
Pipeline	Workflow
Stage	Job
Job	Step
Step	Action

Datadog	GitLab
Pipeline	Pipeline
Stage	Stage
Job	Job
Step

Datadog	Jenkins
Pipeline	Pipeline
Stage	Stage
Job	Job
Step	Step

Datadog	CircleCI
Pipeline	Pipeline
Stage	Workflow
Job	Job
Step	Step

Datadog	Buildkite
Pipeline	Pipeline
Stage
Job	Job
Step

Datadog	TeamCity
Pipeline	Build Chain
Stage
Job	Build
Step

Datadog	Azure Pipelines
Pipeline	Pipeline
Stage	Stage
Job	Job
Step	Step

Datadog	AWS CodePipeline
Pipeline	Pipeline
Stage	Stage
Job	Action
Step

If your CI provider is not supported, you can try setting up Pipeline Visibility through the public API endpoint.

Supported features

	Jenkins	GitLab	CircleCI	Buildkite	GitHub Actions	Azure Pipelines	Codefresh	TeamCity	AWS Code Pipeline
Pipeline trace visualization Visualization of pipeline executions with associated tracing.
Partial retries Identification of partial retries (for example, when only a subset of jobs were retried).
Manual steps Identification of when there is a job with a manual approval phase in the overall pipeline.
Queue time Identification of the amount of time for which a pipeline or job was in the queue before execution.
Logs correlation Retrieval of pipeline or job logs from the CI provider. Logs are displayed on the Logs tab in the Pipeline Execution view.
Infrastructure metric correlation Correlation of host-level information for the Datadog Agent, CI pipelines, or job runners to CI pipeline execution data.
Custom spans for traced commands using datadog-ci Support for sending command-level events to CI Visibility to be incorporated into pipeline flame graph visualization. You can then query and analyze these events.
Custom predefined tags Support for setting static pipeline tags in the CI provider that do not change between executions.
Custom tags and metrics at runtime Support for adding user-defined text and numerical tags to pipelines and jobs in CI Visibility.
Parameters Support for adding custom pipeline parameters that users set (for example, `DYNAMICS_IS_CHILD:true`). You can then search using these parameters in the CI Visibility Explorer to find all events with a specific parameter.
Pipeline failure reason Identification of a specific reason behind a pipeline or job failure.

Use CI pipelines data

When creating a dashboard or a notebook, you can use CI pipeline data in your search query, which updates the visualization widget options. For more information, see the Dashboards and Notebooks documentation.