CI/CD Analytics (FREE)

Pipeline success and duration charts

Renamed to CI/CD Analytics in GitLab 12.8.

GitLab tracks the history of your pipeline successes and failures, as well as how long each pipeline ran. To view this information for a project, go to Analytics > CI/CD Analytics.

View successful pipelines:

Successful pipelines

View pipeline duration history:

Pipeline duration

Pipeline statistics are gathered by collecting all available pipelines for the project regardless of status. The data available for each individual day is based on when the pipeline was created. The total pipeline calculation includes child pipelines and pipelines that failed with invalid YAML. If you are interested in filtering pipelines based on other attributes, consider using the Pipelines API.

DevOps Research and Assessment (DORA) key metrics (ULTIMATE)

Customer experience is a key metric. Users want to measure platform stability and other post-deployment performance KPIs, and set targets for customer behavior, experience, and financial impact. Tracking and measuring these indicators solves an important pain point. Similarly, creating views that manage products, not projects or repositories, provides users with a more relevant data set. Since GitLab is a tool for the entire DevOps life-cycle, information from different workflows is integrated and can be used to measure the success of the teams.

The DevOps Research and Assessment (DORA) team developed four key metrics that the industry has widely adopted. You can use these metrics as performance indicators for software development teams:

  • Deployment frequency: How often an organization successfully releases to production.
  • Lead time for changes: The amount of time it takes for code to reach production.
  • Change failure rate: The percentage of deployments that cause a failure in production.
  • Time to restore service: How long it takes an organization to recover from a failure in production.

Supported metrics in GitLab

The following table shows the supported metrics, at which level they are supported, and which GitLab version (API and UI) they were introduced:

Metric Level API version Chart (UI) version Comments
deployment_frequency Project-level 13.7+ 13.8+ The old API endpoint was deprecated in 13.10.
deployment_frequency Group-level 13.10+ 13.12+
lead_time_for_changes Project-level 13.10+ 13.11+ Unit in seconds. Aggregation method is median.
lead_time_for_changes Group-level 13.10+ 14.0+ Unit in seconds. Aggregation method is median.
change_failure_rate Project/Group-level To be supported To be supported
time_to_restore_service Project/Group-level To be supported To be supported

Deployment frequency charts

Introduced in GitLab 13.8.

The Analytics > CI/CD Analytics page shows information about the deployment frequency to the production environment. The environment must be part of the production deployment tier for its deployment information to appear on the graphs.

Deployment frequency

These charts are available for both groups and projects.

Lead time charts

Introduced in GitLab 13.11.

The charts in the Lead Time tab show information about how long it takes merge requests to be deployed to a production environment.

Lead time

Smaller values are better. Small lead times indicate fast, efficient deployment processes.

For time periods in which no merge requests were deployed, the charts render a red, dashed line.

These charts are available for both groups and projects.