CI 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 Measures

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
Job	Job
Step	Step

Datadog	GitLab
Pipeline	Pipeline
Stage	Stage
Job	Job
Not available in Datadog	Script

Datadog	Jenkins
Pipeline	Pipeline
Stage	Stage
Job	Step

Datadog	CircleCI
Pipeline	Workflow
Job	Job
Not available in Datadog	Step

Datadog	Buildkite
Pipeline	Build (execution of a pipeline)
Job	Job (execution of a step)

Datadog	TeamCity
Pipeline	Build Chain
Job	Build
Not available in Datadog	Step

Datadog	Azure Pipelines
Pipeline	Pipeline
Stage	Stage
Job	Job
Not available in Datadog	Step

Datadog	AWS CodePipeline
Pipeline	Pipeline
Stage	Stage
Job	Action

Datadog	Other CI Providers
Pipeline	Pipeline
Stage	Stage
Job	Job
Step	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 CodePipeline	Other CI Providers
Pipeline trace visualization Visualization of pipeline executions with associated tracing.
Job failure analysis Analysis and categorization of job failures using LLM models based on relevant logs. More info.
Running pipelines Identification of pipelines executions that are running with associated tracing.
Critical path analysis Identification of CI jobs that are on the critical path of the pipeline. More info
Partial retries Identification of partial retries (for example, when only a subset of jobs were retried).
Step spans Step level spans are available for more granular visibility.	(But are presented as job spans)
Manual steps Identification of when there is a job with a manual approval phase in the overall pipeline.
Approval wait time Time for which a pipeline or job has been waiting for a manual approval.
Queue time Time for which a pipeline or job was in the queue before execution.
Execution time Time for which a pipeline has been actively running jobs.
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 measures 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.

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.