Linux shared runners on GitLab.com run in autoscale mode and are powered by Google Cloud Platform.
Autoscaling means reduced queue times to spin up CI/CD jobs, and isolated VMs for each job, thus maximizing security. These shared runners are available for users and customers on GitLab.com.
GitLab offers Ultimate tier capabilities and included CI/CD minutes per group per month for our Open Source, Education, and Startups programs. For private projects, GitLab offers various plans, starting with a Free tier.
All your CI/CD jobs run on n1-standard-1 instances with 3.75GB of RAM, CoreOS and the latest Docker Engine installed. Instances provide 1 vCPU and 25GB of HDD disk space. The default region of the VMs is US East1. Each instance is used only for one job, this ensures any sensitive data left on the system can’t be accessed by other people their CI jobs.
gitlab-shared-runners-manager-X.gitlab.com fleet of runners are dedicated for GitLab projects as well as community forks of them. They use a slightly larger machine type (n1-standard-2) and have a bigger SSD disk size. They don’t run untagged jobs and unlike the general fleet of shared runners, the instances are re-used up to 40 times.
Jobs handled by the shared runners on GitLab.com (
time out after 3 hours, regardless of the timeout configured in a
project. Check the issues 4010 and 4070 for the reference.
Below are the shared runners settings.
|Default Docker image||-|
Linux shared runners on GitLab.com provide a way to run commands in a CI
job before the runner attempts to run
git init and
git fetch to
download a GitLab repository. The
can be used for:
- Seeding the build directory with repository data
- Sending a request to a server
- Downloading assets from a CDN
- Any other commands that must run before the
To use this feature, define a CI/CD variable called
CI_PRE_CLONE_SCRIPT that contains a bash script.
This example demonstrates how you might use a pre-clone step to seed the build directory.
CI_PRE_CLONE_SCRIPTvariable does not work on Windows runners.
The full contents of our
Google Cloud Platform
concurrent = X check_interval = 1 metrics_server = "X" sentry_dsn = "X" [[runners]] name = "docker-auto-scale" request_concurrency = X url = "https://gitlab.com/" token = "SHARED_RUNNER_TOKEN" pre_clone_script = "eval \"$CI_PRE_CLONE_SCRIPT\"" executor = "docker+machine" environment = [ "DOCKER_DRIVER=overlay2", "DOCKER_TLS_CERTDIR=" ] limit = X [runners.docker] image = "ruby:2.5" privileged = true volumes = [ "/certs/client", "/dummy-sys-class-dmi-id:/sys/class/dmi/id:ro" # Make kaniko builds work on GCP. ] [runners.machine] IdleCount = 50 IdleTime = 3600 MaxBuilds = 1 # For security reasons we delete the VM after job has finished so it's not reused. MachineName = "srm-%s" MachineDriver = "google" MachineOptions = [ "google-project=PROJECT", "google-disk-size=25", "google-machine-type=n1-standard-1", "google-username=core", "google-tags=gitlab-com,srm", "google-use-internal-ip", "google-zone=us-east1-d", "engine-opt=mtu=1460", # Set MTU for container interface, for more information check https://gitlab.com/gitlab-org/gitlab-runner/-/issues/3214#note_82892928 "google-machine-image=PROJECT/global/images/IMAGE", "engine-opt=ipv6", # This will create IPv6 interfaces in the containers. "engine-opt=fixed-cidr-v6=fc00::/7", "google-operation-backoff-initial-interval=2" # Custom flag from forked docker-machine, for more information check https://github.com/docker/machine/pull/4600 ] [[runners.machine.autoscaling]] Periods = ["* * * * * sat,sun *"] Timezone = "UTC" IdleCount = 70 IdleTime = 3600 [[runners.machine.autoscaling]] Periods = ["* 30-59 3 * * * *", "* 0-30 4 * * * *"] Timezone = "UTC" IdleCount = 700 IdleTime = 3600 [runners.cache] Type = "gcs" Shared = true [runners.cache.gcs] CredentialsFile = "/path/to/file" BucketName = "bucket-name"