Executors
GitLab Runner implements different executors that can be used to run your builds in different environments.
If you are not sure about which executor to select, see Selecting the executor.
For more information about features supported by each executor, see the compatibility chart.
GitLab Runner provides the following executors:
- SSH
- Shell
- Parallels
- VirtualBox
- Docker
- Docker Autoscaler
- Docker Machine (auto-scaling)
- Kubernetes
- Instance
- Custom
These executors are locked and we are no longer developing or accepting new ones. For more information, see Contributing new executors.
Prerequisites for non-Docker executors
Executors that do not rely on a helper image require a Git
installation on the target machine and in the PATH
. Always use the latest available version of Git.
GitLab Runner uses the git lfs
command if Git LFS is installed
on the target machine. Ensure Git LFS is up to date on any systems where GitLab Runner uses these executors.
Be sure to initialize Git LFS for the user that executes GitLab Runner commands with git lfs install
. You can initialize Git LFS on an entire system with git lfs install --system
.
When you enable FF_GIT_URLS_WITHOUT_TOKENS, do not cache Git
credentials across builds, for example, by using Git credential helpers. If you cache credentials,
the CI_JOB_TOKEN
might be shared between
concurrent or consecutive builds, which might cause authentication errors and failed builds.
Selecting the executor
The executors support different platforms and methodologies for building a project. The table below shows the key facts for each executor which helps you decide which executor to use.
Executor | SSH | Shell | VirtualBox | Parallels | Docker | Docker Autoscaler | Instance | Kubernetes | Custom |
---|---|---|---|---|---|---|---|---|---|
Clean build environment for every build | ✗ | ✗ | ✓ | ✓ | ✓ | ✓ | conditional (4) | ✓ | conditional (4) |
Reuse previous clone if it exists | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | conditional (4) | ✗ | conditional (4) |
Runner file system access protected (5) | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | conditional |
Migrate runner machine | ✗ | ✗ | partial | partial | ✓ | ✓ | ✓ | ✓ | ✓ |
Zero-configuration support for concurrent builds | ✗ | ✗ (1) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | conditional (4) |
Complicated build environments | ✗ | ✗ (2) | ✓ (3) | ✓ (3) | ✓ | ✓ | ✗ (2) | ✓ | ✓ |
Debugging build problems | easy | easy | hard | hard | medium | medium | medium | medium | medium |
- It’s possible, but in most cases it is problematic if the build uses services installed on the build machine.
- Requires manual dependency installation.
- For example using Vagrant.
- Dependent on what kind of environment you are provisioning. It can be completely isolated or shared between each build.
- When a runner’s file system access is not protected, jobs can access the entire system, which includes the runner’s token, and the cache and code of other jobs. Executors marked ✓ don’t allow the runner to access the file system by default. However, security flaws or certain configurations could allow jobs to break out of their container and access the file system hosting the runner.
Shell executor
Shell is the simplest executor to configure. All required dependencies for your builds need to be installed manually on the same machine that GitLab Runner is installed on.
Virtual Machine executor (VirtualBox / Parallels)
You can use this executor to use an already created virtual machine, which is cloned and used to run your build. GitLab Runner provides two full system virtualization options: VirtualBox and Parallels. You can use these options to run your builds on Windows, Linux, macOS, or FreeBSD operating systems. GitLab Runner connects to the virtual machine and runs the build on it. The Virtual Machine executor can also be used to reduce infrastructure costs.
Docker executor
You can use Docker for a clean build environment. All dependencies for building the project can be put in the Docker image, which makes dependency management more straight-forward. You can use the Docker executor to create a build environment with dependent services, like MySQL.
Docker Machine executor
The Docker Machine is a special version of the Docker executor with support for auto-scaling. It works like the typical Docker executor but with build hosts created on demand by Docker Machine.
Docker Autoscaler executor
The Docker Autoscaler executor is an autoscale-enabled Docker executor that creates instances on demand to accommodate the jobs that the runner manager processes. It wraps the Docker executor so that all Docker executor options and features are supported.
The Docker Autoscaler uses fleeting plugins to autoscale. Fleeting is an abstraction for a group of autoscaled instances, which uses plugins that support cloud providers, like Google Cloud, AWS, and Azure.
Instance executor
The instance executor is an autoscale-enabled executor that creates instances on demand to accommodate the expected volume of jobs that the runner manager processes.
The instance executor also uses fleeting plugins to autoscale.
You can use the instance executor when jobs need full access to the host instance, operating system, and attached devices. The instance executor can also be configured to accommodate single-tenant and multi-tenant jobs.
Kubernetes executor
You can use the Kubernetes executor to use an existing Kubernetes cluster for your builds. The executor calls the Kubernetes cluster API and creates a new Pod (with a build container and services containers) for each GitLab CI job.
SSH executor
The SSH executor is added for completeness, but it’s the least supported executors. When you use the SSH executor, GitLab Runner connects to an external server and runs the builds there. We have some success stories from organizations using this executor, but usually you should use one of the other types.
Custom executor
You can use the Custom executor to specify your own execution environments. When GitLab Runner does not provide an executor (for example, Linux containers), it allows you to use custom executables to provision and clean up environments.
Compatibility chart
Supported features by different executors:
Executor | SSH | Shell | VirtualBox | Parallels | Docker | Docker Autoscaler | Instance | Kubernetes | Custom |
---|---|---|---|---|---|---|---|---|---|
Secure Variables | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
.gitlab-ci.yml : image
|
✗ | ✗ | ✓ (1) | ✓ (1) | ✓ | ✗ | ✗ | ✓ | ✓ (by using $CUSTOM_ENV_CI_JOB_IMAGE )
|
.gitlab-ci.yml : services
|
✗ | ✗ | ✗ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ |
.gitlab-ci.yml : cache
|
✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
.gitlab-ci.yml : artifacts
|
✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Passing artifacts between stages | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Use GitLab Container Registry private images | not applicable | not applicable | not applicable | not applicable | ✓ | ✓ | not applicable | ✓ | not applicable |
Interactive Web terminal | ✗ | ✓ (UNIX) | ✗ | ✗ | ✓ | ✗ | ✗ | ✓ | ✗ |
- Support added in GitLab Runner 14.2. Refer to the Overriding the base VM image section for further details.
Supported systems by different shells:
Shells | Bash | PowerShell Desktop | PowerShell Core | Windows Batch (deprecated) |
---|---|---|---|---|
Windows | ✗ (4) | ✓ (3) | ✓ | ✓ (2) |
Linux | ✓ (1) | ✗ | ✓ | ✗ |
macOS | ✓ (1) | ✗ | ✓ | ✗ |
FreeBSD | ✓ (1) | ✗ | ✗ | ✗ |
- Default shell.
- Deprecated. Default shell if no
shell
is specified. - Default shell when a new runner is registered.
- Bash shell on Windows is not supported.
Supported systems for interactive web terminals by different shells:
Shells | Bash | PowerShell Desktop | PowerShell Core | Windows Batch (deprecated) |
---|---|---|---|---|
Windows | ✗ | ✗ | ✗ | ✗ |
Linux | ✓ | ✗ | ✗ | ✗ |
macOS | ✓ | ✗ | ✗ | ✗ |
FreeBSD | ✓ | ✗ | ✗ | ✗ |