stage | group | info |
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Verify |
Runner |
To determine the technical writer assigned to the Stage/Group associated with this page, see https://handbook.gitlab.com/handbook/product/ux/technical-writing/#assignments |
DETAILS: Tier: Free, Premium, Ultimate Offering: GitLab.com, GitLab Self-Managed, GitLab Dedicated
GitLab Runner is an application that works with GitLab CI/CD to run jobs in a pipeline.
DETAILS: Tier: Free, Premium, Ultimate Offering: GitLab.com, GitLab Self-Managed, GitLab Dedicated
Self-managed runners are GitLab Runner instances that you install, configure, and manage in your own infrastructure. You can install and register self-managed runners on all GitLab installations.
Unlike GitLab-hosted runners, which are hosted and managed by GitLab, you have complete control over self-managed runners.
Many common runner configurations can be created and managed by using the GitLab Runner Infrastructure Toolkit (GRIT). GRIT is a library of Terraform modules used to create and manage many common runner configurations on public cloud providers. GRIT is created and maintained by the runner team.
When your organization scales to having a fleet of runners, you should plan for how you will monitor and adjust performance for these runners.
For compatibility reasons, the GitLab Runner major.minor version should stay in sync with the GitLab major and minor version. Older runners may still work with newer GitLab versions, and vice versa. However, features may not be available or work properly if a version difference exists.
Backward compatibility is guaranteed between minor version updates. However, sometimes minor version updates of GitLab can introduce new features that require GitLab Runner to be on the same minor version.
NOTE: GitLab Runner 15.0 introduced a change to the registration API request format. It prevents the GitLab Runner from communicating with GitLab versions lower than 14.8. You must use a Runner version that is appropriate for the GitLab version, or upgrade the GitLab application.
If you host your own runners but host your repositories on GitLab.com, keep GitLab Runner updated to the latest version, as GitLab.com is updated continuously.
After you install the application, you register individual runners. Runners are the agents that run the CI/CD jobs that come from GitLab.
When you register a runner, you are setting up communication between your GitLab instance and the machine where GitLab Runner is installed.
Runners usually process jobs on the same machine where you installed GitLab Runner. However, you can also have a runner process jobs in a container, in a Kubernetes cluster, or in auto-scaled instances in the cloud.
When you register a runner, you must choose an executor.
An executor determines the environment each job runs in.
For example:
- If you want your CI/CD job to run PowerShell commands, you might install GitLab Runner on a Windows server and then register a runner that uses the shell executor.
- If you want your CI/CD job to run commands in a custom Docker container, you might install GitLab Runner on a Linux server and register a runner that uses the Docker executor.
These are only a few of the possible configurations. You can install GitLab Runner on a virtual machine and have it use another virtual machine as an executor.
When you install GitLab Runner in a Docker container and choose the Docker executor to run your jobs, it's sometimes referred to as a "Docker-in-Docker" configuration.
Before you register a runner, you should determine if everyone in GitLab should have access to it, or if you want to limit it to a specific GitLab group or project.
There are three types of runners, based on who you want to have access:
- Instance runners are for use by all projects
- Group runners are for all projects and subgroups in a group
- Project runners are for individual projects
The scope of a runner is defined during the registration. This is how the runner knows which projects it's available for.
When you register a runner, you can add tags to it.
When a CI/CD job runs, it knows which runner to use by looking at the assigned tags. Tags are the only way to filter the list of available runners for a job.
For example, if a runner has the ruby
tag, you would add this code to
your project's .gitlab-ci.yml
file:
job:
tags:
- ruby
When the job runs, it uses the runner with the ruby
tag.
You can configure
the runner by editing the config.toml
file. This is a file that is installed during the runner installation process.
In this file you can edit settings for a specific runner, or for all runners.
You can specify settings like logging and cache. You can set concurrency, memory, CPU limits, and more.
You can use Prometheus to monitor your runners. You can view things like the number of currently-running jobs and how much CPU your runners are using.
After a runner is configured and available for your project, your CI/CD jobs can use the runner.
GitLab Runner has the following features.
- Run multiple jobs concurrently.
- Use multiple tokens with multiple servers (even per-project).
- Limit the number of concurrent jobs per-token.
- Jobs can be run:
- Locally.
- Using Docker containers.
- Using Docker containers and executing job over SSH.
- Using Docker containers with autoscaling on different clouds and virtualization hypervisors.
- Connecting to a remote SSH server.
- Is written in Go and distributed as single binary without any other requirements.
- Supports Bash, PowerShell Core, and Windows PowerShell.
- Works on GNU/Linux, macOS, and Windows (pretty much anywhere you can run Docker).
- Allows customization of the job running environment.
- Automatic configuration reload without restart.
- Easy to use setup with support for Docker, Docker-SSH, Parallels, or SSH running environments.
- Enables caching of Docker containers.
- Easy installation as a service for GNU/Linux, macOS, and Windows.
- Embedded Prometheus metrics HTTP server.
- Referee workers to monitor and pass Prometheus metrics and other job-specific data to GitLab.
This diagram shows how runners are registered and how jobs are requested and handled. It also shows which actions use registration, authentication, and job tokens.
sequenceDiagram
participant GitLab
participant GitLabRunner
participant Executor
opt registration
GitLabRunner ->>+ GitLab: POST /api/v4/runners with registration_token
GitLab -->>- GitLabRunner: Registered with runner_token
end
loop job requesting and handling
GitLabRunner ->>+ GitLab: POST /api/v4/jobs/request with runner_token
GitLab -->>+ GitLabRunner: job payload with job_token
GitLabRunner ->>+ Executor: Job payload
Executor ->>+ GitLab: clone sources with job_token
Executor ->>+ GitLab: download artifacts with job_token
Executor -->>- GitLabRunner: return job output and status
GitLabRunner -->>- GitLab: updating job output and status with job_token
end
This glossary provides definitions for terms related to GitLab Runner.
- GitLab Runner: The application that you install that executes GitLab CI jobs on a target computing platform.
- runner configuration: A single
[[runner]]
entry in theconfig.toml
that displays as a runner in the UI. - runner manager: The process that reads the
config.toml
and runs all the runner configurations concurrently. - runner: The process that executes the job on a selected machine.
Depending on the type of executor, this machine could be local to the runner manager (
shell
ordocker
executor) or a remote machine created by an autoscaler (docker-autoscaler
orkubernetes
). - machine: A virtual machine (VM) or pod that the runner operates in. GitLab Runner automatically generates a unique, persistent machine ID so that when multiple machines are given the same runner configuration, jobs can be routed separately but the runner configurations are grouped in the UI.
See also the official GitLab Word List and the GitLab Architecture entry for GitLab Runner.
Learn how to troubleshoot common issues.
Contributions are welcome. See CONTRIBUTING.md
and the development documentation for details.
If you're a reviewer of GitLab Runner project, take a moment to read the Reviewing GitLab Runner document.
You can also review the release process for the GitLab Runner project.
See the CHANGELOG to view recent changes.
This code is distributed under the MIT license. View the LICENSE file.