Runners

In GitLab CI, Runners run the code defined in .gitlab-ci.yml. They are isolated (virtual) machines that pick up jobs through the coordinator API of GitLab CI.

A Runner can be specific to a certain project or serve any project in GitLab CI. A Runner that serves all projects is called a shared Runner.

Ideally, the GitLab Runner should not be installed on the same machine as GitLab. Read the requirements documentation for more information.

Shared vs specific Runners

After installing the Runner, you can either register it as shared or specific. You can only register a shared Runner if you have admin access to the GitLab instance. The main differences between a shared and a specific Runner are:

• Shared Runners are useful for jobs that have similar requirements, between multiple projects. Rather than having multiple Runners idling for many projects, you can have a single or a small number of Runners that handle multiple projects. This makes it easier to maintain and update them. Shared Runners process jobs using a fair usage queue. In contrast to specific Runners that use a FIFO queue, this prevents cases where projects create hundreds of jobs which can lead to eating all available shared Runners resources.
• Specific Runners are useful for jobs that have special requirements or for projects with a specific demand. If a job has certain requirements, you can set up the specific Runner with this in mind, while not having to do this for all Runners. For example, if you want to deploy a certain project, you can setup a specific Runner to have the right credentials for this. The usage of tags may be useful in this case. Specific Runners process jobs using a FIFO queue.

A Runner that is specific only runs for the specified project(s). A shared Runner can run jobs for every project that has enabled the option Allow shared Runners under Settings ➔ Pipelines.

Projects with high demand of CI activity can also benefit from using specific Runners. By having dedicated Runners you are guaranteed that the Runner is not being held up by another project's jobs.

You can set up a specific Runner to be used by multiple projects. The difference with a shared Runner is that you have to enable each project explicitly for the Runner to be able to run its jobs.

Specific Runners do not get shared with forked projects automatically. A fork does copy the CI settings (jobs, allow shared, etc) of the cloned repository.

Registering a shared Runner

You can only register a shared Runner if you are an admin of the GitLab instance.

1. Grab the shared-Runner token on the admin/runners page

   

2. Register the Runner

Shared Runners are enabled by default as of GitLab 8.2, but can be disabled with the Disable shared Runners button which is present under each project's Settings ➔ Pipelines page. Previous versions of GitLab defaulted shared Runners to disabled.

Registering a specific Runner

Registering a specific can be done in two ways:

1. Creating a Runner with the project registration token
2. Converting a shared Runner into a specific Runner (one-way, admin only)

Registering a specific Runner with a project registration token

To create a specific Runner without having admin rights to the GitLab instance, visit the project you want to make the Runner work for in GitLab:

1. Go to Settings ➔ Pipelines to obtain the token
2. Register the Runner

Making an existing shared Runner specific

If you are an admin on your GitLab instance, you can turn any shared Runner into a specific one, but not the other way around. Keep in mind that this is a one way transition.

1. Go to the Runners in the admin area Overview ➔ Runners (/admin/runners) and find your Runner
2. Enable any projects under Restrict projects for this Runner to be used with the Runner

From now on, the shared Runner will be specific to those projects.

Locking a specific Runner from being enabled for other projects

You can configure a Runner to assign it exclusively to a project. When a Runner is locked this way, it can no longer be enabled for other projects. This setting can be enabled the first time you register a Runner and can be changed afterwards under each Runner's settings.

To lock/unlock a Runner:

1. Visit your project's Settings ➔ Pipelines
2. Find the Runner you wish to lock/unlock and make sure it's enabled
3. Click the pencil button
4. Check the Lock to current projects option
5. Click Save changes for the changes to take effect

How shared Runners pick jobs

Shared Runners abide to a process queue we call fair usage. The fair usage algorithm tries to assign jobs to shared Runners from projects that have the lowest number of jobs currently running on shared Runners.

Example 1

We have following jobs in queue:

• Job 1 for Project 1
• Job 2 for Project 1
• Job 3 for Project 1
• Job 4 for Project 2
• Job 5 for Project 2
• Job 6 for Project 3

With the fair usage algorithm jobs are assigned in following order:

1. Job 1 is chosen first, because it has the lowest job number from projects with no running jobs (i.e. all projects)
2. Job 4 is next, because 4 is now the lowest job number from projects with no running jobs (Project 1 has a job running)
3. Job 6 is next, because 6 is now the lowest job number from projects with no running jobs (Projects 1 and 2 have jobs running)
4. Job 2 is next, because, of projects with the lowest number of jobs running (each has 1), it is the lowest job number
5. Job 5 is next, because Project 1 now has 2 jobs running, and between Projects 2 and 3, Job 5 is the lowest remaining job number
6. Lastly we choose Job 3... because it's the only job left

Example 2

We have following jobs in queue:

• Job 1 for project 1
• Job 2 for project 1
• Job 3 for project 1
• Job 4 for project 2
• Job 5 for project 2
• Job 6 for project 3

With the fair usage algorithm jobs are assigned in following order:

1. Job 1 is chosen first, because it has the lowest job number from projects with no running jobs (i.e. all projects)
2. We finish job 1
3. Job 2 is next, because, having finished Job 1, all projects have 0 jobs running again, and 2 is the lowest available job number
4. Job 4 is next, because with Project 1 running a job, 4 is the lowest number from projects running no jobs (Projects 2 and 3)
5. We finish job 4
6. Job 5 is next, because having finished Job 4, Project 2 has no jobs running again
7. Job 6 is next, because Project 3 is the only project left with no running jobs
8. Lastly we choose Job 3... because, again, it's the only job left (who says 1 is the loneliest number?)

Using shared Runners effectively

If you are planning to use shared Runners, there are several things you should keep in mind.

Using tags

You must setup a Runner to be able to run all the different types of jobs that it may encounter on the projects it's shared over. This would be problematic for large amounts of projects, if it wasn't for tags.

By tagging a Runner for the types of jobs it can handle, you can make sure shared Runners will only run the jobs they are equipped to run.

For instance, at GitLab we have Runners tagged with "rails" if they contain the appropriate dependencies to run Rails test suites.

Preventing Runners with tags from picking jobs without tags

You can configure a Runner to prevent it from picking jobs with tags when the Runner does not have tags assigned. This setting can be enabled the first time you register a Runner and can be changed afterwards under each Runner's settings.

To make a Runner pick tagged/untagged jobs:

1. Visit your project's Settings ➔ Pipelines
2. Find the Runner you wish and make sure it's enabled
3. Click the pencil button
4. Check the Run untagged jobs option
5. Click Save changes for the changes to take effect

Be careful with sensitive information

If you can run a job on a Runner, you can get access to any code it runs and get the token of the Runner. With shared Runners, this means that anyone that runs jobs on the Runner, can access anyone else's code that runs on the Runner.

In addition, because you can get access to the Runner token, it is possible to create a clone of a Runner and submit false jobs, for example.

The above is easily avoided by restricting the usage of shared Runners on large public GitLab instances and controlling access to your GitLab instance.

Forks

Whenever a project is forked, it copies the settings of the jobs that relate to it. This means that if you have shared Runners setup for a project and someone forks that project, the shared Runners will also serve jobs of this project.

Attack vectors in Runners

Mentioned briefly earlier, but the following things of Runners can be exploited. We're always looking for contributions that can mitigate these Security Considerations.