CI/CD pipelines (FREE ALL)

NOTE: Watch the "Mastering continuous software development" webcast to see a comprehensive demo of a GitLab CI/CD pipeline.

Pipelines are the top-level component of continuous integration, delivery, and deployment.

Pipelines comprise:

Jobs, which define what to do. For example, jobs that compile or test code.
Stages, which define when to run the jobs. For example, stages that run tests after stages that compile the code.

Jobs are executed by runners. Multiple jobs in the same stage are executed in parallel, if there are enough concurrent runners.

If all jobs in a stage succeed, the pipeline moves on to the next stage.

If any job in a stage fails, the next stage is not (usually) executed and the pipeline ends early.

In general, pipelines are executed automatically and require no intervention once created. However, there are also times when you can manually interact with a pipeline.

A typical pipeline might consist of four stages, executed in the following order:

A build stage, with a job called compile.
A test stage, with two jobs called test1 and test2.
A staging stage, with a job called deploy-to-stage.
A production stage, with a job called deploy-to-prod.

NOTE: If you have a mirrored repository that GitLab pulls from, you may need to enable pipeline triggering in your project's Settings > Repository > Mirroring repositories > Trigger pipelines for mirror updates.

Types of pipelines

Pipelines can be configured in many different ways:

Basic pipelines run everything in each stage concurrently, followed by the next stage.
Directed Acyclic Graph Pipeline (DAG) pipelines are based on relationships between jobs and can run more quickly than basic pipelines.
Merge request pipelines run for merge requests only (rather than for every commit).
Merged results pipelines are merge request pipelines that act as though the changes from the source branch have already been merged into the target branch.
Merge trains use merged results pipelines to queue merges one after the other.
Parent-child pipelines break down complex pipelines into one parent pipeline that can trigger multiple child sub-pipelines, which all run in the same project and with the same SHA. This pipeline architecture is commonly used for mono-repos.
Multi-project pipelines combine pipelines for different projects together.

Configure a pipeline

Pipelines and their component jobs and stages are defined in the CI/CD pipeline configuration file for each project.

Jobs are the basic configuration component.
Stages are defined by using the stages keyword.

For a list of configuration options in the CI pipeline file, see the CI/CD YAML syntax reference.

You can also configure specific aspects of your pipelines through the GitLab UI. For example:

Ref specs for runners

When a runner picks a pipeline job, GitLab provides that job's metadata. This includes the Git refspecs, which indicate which ref (such as branch or tag) and commit (SHA1) are checked out from your project repository.

This table lists the refspecs injected for each pipeline type:

Pipeline type	Refspecs
pipeline for branches	`+<sha>:refs/pipelines/<id>` and `+refs/heads/<name>:refs/remotes/origin/<name>`
pipeline for tags	`+<sha>:refs/pipelines/<id>` and `+refs/tags/<name>:refs/tags/<name>`
merge request pipeline	`+refs/pipelines/<id>:refs/pipelines/<id>`

The refs refs/heads/<name> and refs/tags/<name> exist in your project repository. GitLab generates the special ref refs/pipelines/<id> during a running pipeline job. This ref can be created even after the associated branch or tag has been deleted. It's therefore useful in some features such as automatically stopping an environment, and merge trains that might run pipelines after branch deletion.

View pipelines

You can find the current and historical pipeline runs under your project's Build > Pipelines page. You can also access pipelines for a merge request by navigating to its Pipelines tab.

Select a pipeline to open the Pipeline Details page and show the jobs that were run for that pipeline. From here you can cancel a running pipeline, retry jobs on a failed pipeline, or delete a pipeline.

A link to the latest pipeline for the last commit of a given branch is available at /project/-/pipelines/[branch]/latest. Also, /project/-/pipelines/latest redirects you to the latest pipeline for the last commit on the project's default branch.

Starting in GitLab 13.0, you can filter the pipeline list by:

Trigger author
Branch name
Status (GitLab 13.1 and later)
Tag (GitLab 13.1 and later)
Source (GitLab 14.3 and later)

Starting in GitLab 14.2, you can change the pipeline column to display the pipeline ID or the pipeline IID.

If you use VS Code to edit your GitLab CI/CD configuration, the GitLab Workflow VS Code extension helps you validate your configuration and view your pipeline status.

Run a pipeline manually

Pipelines can be manually executed, with predefined or manually-specified variables.

You might do this if the results of a pipeline (for example, a code build) are required outside the standard operation of the pipeline.

To execute a pipeline manually:

On the left sidebar, select Search or go to and find your project.
Select Build > Pipelines.
Select Run pipeline.
In the Run for branch name or tag field, select the branch or tag to run the pipeline for.
Enter any CI/CD variables required for the pipeline to run. You can set specific variables to have their values prefilled in the form.
Select Run pipeline.

The pipeline now executes the jobs as configured.

Prefill variables in manual pipelines

Introduced in GitLab 13.7.

You can use the description and value keywords to define pipeline-level (global) variables that are prefilled when running a pipeline manually. Use the description to explain information such as what the variable is used for, and what the acceptable values are.

Job-level variables cannot be pre-filled.

In manually-triggered pipelines, the Run pipeline page displays all pipeline-level variables that have a description defined in the .gitlab-ci.yml file. The description displays below the variable.

You can change the prefilled value, which overrides the value for that single pipeline run. Any variables overridden by using this process are expanded and not masked. If you do not define a value for the variable in the configuration file, the variable name is still listed, but the value field is blank.

For example:

variables:
  DEPLOY_CREDENTIALS:
    description: "The deployment credentials."
  DEPLOY_ENVIRONMENT:
    description: "Select the deployment target. Valid options are: 'canary', 'staging', 'production', or a stable branch of your choice."
    value: "canary"

In this example:

DEPLOY_CREDENTIALS is listed in the Run pipeline page, but with no value set. The user is expected to define the value each time the pipeline is run manually.
DEPLOY_ENVIRONMENT is pre-filled in the Run pipeline page with canary as the default value, and the message explains the other options.

NOTE: Because of a known issue, projects that use compliance pipelines can have prefilled variables not appear when running a pipeline manually. To workaround this issue, change the compliance pipeline configuration.

Configure a list of selectable prefilled variable values

Introduced in GitLab 15.5 with a flag named run_pipeline_graphql. Disabled by default.

The options keyword was introduced in GitLab 15.7.

Generally available in GitLab 15.7. Feature flag run_pipeline_graphql removed.

The variables list sometimes did not populate correctly due to a bug, which was resolved in GitLab 15.9.

You can define an array of CI/CD variable values the user can select from when running a pipeline manually. These values are in a dropdown list in the Run pipeline page. Add the list of value options to options and set the default value with value. The string in value must also be included in the options list.

For example:

variables:
  DEPLOY_ENVIRONMENT:
    value: "staging"
    options:
      - "production"
      - "staging"
      - "canary"
    description: "The deployment target. Set to 'staging' by default."

Run a pipeline by using a URL query string

Introduced in GitLab 12.5.

You can use a query string to pre-populate the Run Pipeline page. For example, the query string .../pipelines/new?ref=my_branch&var[foo]=bar&file_var[file_foo]=file_bar pre-populates the Run Pipeline page with:

Run for field: my_branch.
Variables section:
- Variable:
  - Key: foo
  - Value: bar
- File:
  - Key: file_foo
  - Value: file_bar

The format of the pipelines/new URL is:

.../pipelines/new?ref=<branch>&var[<variable_key>]=<value>&file_var[<file_key>]=<value>

The following parameters are supported:

ref: specify the branch to populate the Run for field with.
var: specify a Variable variable.
file_var: specify a File variable.

For each var or file_var, a key and value are required.

Add manual interaction to your pipeline

Manual jobs, allow you to require manual interaction before moving forward in the pipeline.

You can do this straight from the pipeline graph. Just select the play button to execute that particular job.

For example, your pipeline can start automatically, but require a manual action to deploy to production. In the example below, the production stage has a job with a manual action:

Start all manual jobs in a stage

If a stage contains only manual jobs, you can start all the jobs at the same time by selecting Play all manual ({play}) above the stage. If the stage contains non-manual jobs, the option is not displayed.

Skip a pipeline

To push a commit without triggering a pipeline, add [ci skip] or [skip ci], using any capitalization, to your commit message.

Alternatively, if you are using Git 2.10 or later, use the ci.skip Git push option. The ci.skip push option does not skip merge request pipelines.

Delete a pipeline

Introduced in GitLab 12.7.

Users with the Owner role for a project can delete a pipeline by selecting the pipeline in the Build > Pipelines to get to the Pipeline Details page, then selecting Delete.

Deleting a pipeline does not automatically delete its child pipelines. See the related issue for details.

WARNING: Deleting a pipeline expires all pipeline caches, and deletes all immediately related objects, such as builds, logs, artifacts, and triggers. This action cannot be undone.

Pipeline security on protected branches

A strict security model is enforced when pipelines are executed on protected branches.

The following actions are allowed on protected branches if the user is allowed to merge or push to that specific branch:

Run manual pipelines (using the Web UI or pipelines API).
Run scheduled pipelines.
Run pipelines using triggers.
Run on-demand DAST scan.
Trigger manual actions on existing pipelines.
Retry or cancel existing jobs (using the Web UI or pipelines API).

Variables marked as protected are accessible to jobs that run in pipelines for protected branches. Only assign users the right to merge to protected branches if they have permission to access sensitive information like deployment credentials and tokens.

Runners marked as protected can run jobs only on protected branches, preventing untrusted code from executing on the protected runner and preserving deployment keys and other credentials from being unintentionally accessed. To ensure that jobs intended to be executed on protected runners do not use regular runners, they must be tagged accordingly.

Review the deployment safety page for additional security recommendations for securing your pipelines.

Trigger a pipeline when an upstream project is rebuilt (PREMIUM ALL)

Introduced in GitLab 12.8.

You can trigger a pipeline in your project whenever a pipeline finishes for a new tag in a different project.

Prerequisites:

The upstream project must be public.
The user must have the Developer role in the upstream project.

To trigger the pipeline when the upstream project is rebuilt:

On the left sidebar, select Search or go to and find your project.
Select Settings > CI/CD.
Expand Pipeline subscriptions.
Select Add project.
Enter the project you want to subscribe to, in the format <namespace>/<project>. For example, if the project is https://gitlab.com/gitlab-org/gitlab, use gitlab-org/gitlab.
Select Subscribe.

Any pipelines that complete successfully for new tags in the subscribed project now trigger a pipeline on the current project's default branch. The maximum number of upstream pipeline subscriptions is 2 by default, for both the upstream and downstream projects. On self-managed instances, an administrator can change this limit.

How pipeline duration is calculated

Total running time for a given pipeline excludes retries and pending (queued) time.

Each job is represented as a Period, which consists of:

Period#first (when the job started).
Period#last (when the job finished).

A simple example is:

A (1, 3)
B (2, 4)
C (6, 7)

In the example:

A begins at 1 and ends at 3.
B begins at 2 and ends at 4.
C begins at 6 and ends at 7.

Visually, it can be viewed as:

0  1  2  3  4  5  6  7
   AAAAAAA
      BBBBBBB
                  CCCC

The union of A, B, and C is (1, 4) and (6, 7). Therefore, the total running time is:

(4 - 1) + (7 - 6) => 4

Visualize pipelines

Pipelines can be complex structures with many sequential and parallel jobs.

To make it easier to understand the flow of a pipeline, GitLab has pipeline graphs for viewing pipelines and their statuses.

Pipeline graphs can be displayed as a large graph or a miniature representation, depending on the page you access the graph from.

GitLab capitalizes the stages' names in the pipeline graphs.

View full pipeline graph

Visualization improvements introduced in GitLab 13.11.

The pipeline details page displays the full pipeline graph of all the jobs in the pipeline.

You can group the jobs by:

Stage, which arranges jobs in the same stage together in the same column:
Job dependencies, which arranges jobs based on their needs dependencies.

Multi-project pipeline graphs help you visualize the entire pipeline, including all cross-project inter-dependencies.

If a stage contains more than 100 jobs, only the first 100 jobs are listed in the pipeline graph. The remaining jobs still run as usual. To see the jobs:

Select the pipeline, and the jobs are listed on the right side of the pipeline details page.
On the left sidebar, select Build > Jobs.

View job dependencies in the pipeline graph

Introduced in GitLab 13.12.

Enabled by default in GitLab 14.0.

Feature flag removed in GitLab 14.2.

To arrange jobs in the pipeline graph based on their needs dependencies, select Job dependencies in the Group jobs by section. This option is available for pipelines with 3 or more jobs with needs job dependencies.

Jobs in the leftmost column run first, and jobs that depend on them are grouped in the next columns.

For example, test-job1 depends only on jobs in the first column, so it displays in the second column from the left. deploy-job1 depends on jobs in both the first and second column and displays in the third column:

To add lines that show the needs relationships between jobs, select the Show dependencies toggle. These lines are similar to the needs visualization:

To see the full needs dependency tree for a job, hover over it:

Pipeline mini graphs

Pipeline mini graphs take less space and can tell you at a quick glance if all jobs passed or something failed. The pipeline mini graph can be found when you go to:

The pipelines index page.
A single commit page.
A merge request page.
The pipeline editor, in GitLab 14.5 and later.

Pipeline mini graphs allow you to see all related jobs for a single commit and the net result of each stage of your pipeline. This allows you to quickly see what failed and fix it.

Pipeline mini graphs only display jobs by stage.

Stages in pipeline mini graphs are expandable. Hover your mouse over each stage to see the name and status, and select a stage to expand its jobs list.

Mini graph	Mini graph expanded

Pipeline success and duration charts

Pipeline analytics are available on the CI/CD Analytics page.

Pipeline badges

Pipeline status and test coverage report badges are available and configurable for each project. For information on adding pipeline badges to projects, see Pipeline badges.

Pipelines API

GitLab provides API endpoints to:

Perform basic functions. For more information, see Pipelines API.
Maintain pipeline schedules. For more information, see Pipeline schedules API.
Trigger pipeline runs. For more information, see:
- Triggering pipelines through the API.
- Pipeline triggers API.