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

  • Introduced in GitLab 13.10.
  • The legacy key/value pair { "<date>" => "<value>" } was removed from the payload in GitLab 14.0. time_to_restore_service metric was introduced in GitLab 14.9.

You can also retrieve DORA metrics with the GraphQL API.

All methods require at least the Reporter role.

Get project-level DORA metrics

Get project-level DORA metrics.

GET /projects/:id/dora/metrics
Attribute Type Required Description
id integer/string yes The ID or URL-encoded path of the project can be accessed by the authenticated user.
metric string yes One of deployment_frequency, lead_time_for_changes, time_to_restore_service or change_failure_rate.
end_date string no Date range to end at. ISO 8601 Date format, for example 2021-03-01. Default is the current date.
environment_tier string no The tier of the environment. Default is production. Deprecated, use environment_tiers.
environment_tiers array of strings no The tiers of the environments. Default is production.
interval string no The bucketing interval. One of all, monthly or daily. Default is daily.
start_date string no Date range to start from. ISO 8601 Date format, for example 2021-03-01. Default is 3 months ago.

Example request:

curl --header "PRIVATE-TOKEN: <your_access_token>" "https://gitlab.example.com/api/v4/projects/1/dora/metrics?metric=deployment_frequency"

Example response:

[
  { "date": "2021-03-01", "value": 3 },
  { "date": "2021-03-02", "value": 6 },
  { "date": "2021-03-03", "value": 0 },
  { "date": "2021-03-04", "value": 0 },
  { "date": "2021-03-05", "value": 0 },
  { "date": "2021-03-06", "value": 0 },
  { "date": "2021-03-07", "value": 0 },
  { "date": "2021-03-08", "value": 4 }
]

Get group-level DORA metrics

Introduced in GitLab 13.10.

Get group-level DORA metrics.

GET /groups/:id/dora/metrics
Attribute Type Required Description
id integer/string yes The ID or URL-encoded path of the project can be accessed by the authenticated user.
metric string yes One of deployment_frequency, lead_time_for_changes, time_to_restore_service or change_failure_rate.
end_date string no Date range to end at. ISO 8601 Date format, for example 2021-03-01. Default is the current date.
environment_tier string no The tier of the environment. Default is production. Deprecated, use environment_tiers.
environment_tiers array of strings no The tiers of the environments. Default is production.
interval string no The bucketing interval. One of all, monthly or daily. Default is daily.
start_date string no Date range to start from. ISO 8601 Date format, for example 2021-03-01. Default is 3 months ago.

Example request:

curl --header "PRIVATE-TOKEN: <your_access_token>" "https://gitlab.example.com/api/v4/groups/1/dora/metrics?metric=deployment_frequency"

Example response:

[
  { "date": "2021-03-01", "value": 3 },
  { "date": "2021-03-02", "value": 6 },
  { "date": "2021-03-03", "value": 0 },
  { "date": "2021-03-04", "value": 0 },
  { "date": "2021-03-05", "value": 0 },
  { "date": "2021-03-06", "value": 0 },
  { "date": "2021-03-07", "value": 0 },
  { "date": "2021-03-08", "value": 4 }
]

The value field

For both the project and group-level endpoints above, the value field in the API response has a different meaning depending on the provided metric query parameter:

metric query parameter Description of value in response
deployment_frequency The API returns the total number of successful deployments during the time period. Issue 371271 proposes to update the API to return the daily average instead of the total number.
change_failure_rate The number of incidents divided by the number of deployments during the time period. Available only for production environment.
lead_time_for_changes The median number of seconds between the merge of the merge request (MR) and the deployment of the MR commits for all MRs deployed during the time period.
time_to_restore_service The median number of seconds an incident was open during the time period. Available only for production environment.

NOTE: The API returns the monthly and all intervals by calculating the median of the daily median values. This can introduce a slight inaccuracy in the returned data.