Using a GitOps workflow for Kubernetes (PREMIUM)

  • Introduced in GitLab 13.7.
  • Introduced in GitLab 14.0, the resource_inclusions and resource_exclusions attributes were removed and reconcile_timeout, dry_run_strategy, prune, prune_timeout, prune_propagation_policy, and inventory_policy attributes were added.

With GitOps, you can manage containerized clusters and applications from a Git repository that:

  • Is the single source of truth of your system.
  • Is the single place where you operate your system.

By combining GitLab, Kubernetes, and GitOps, you can have:

  • GitLab as the GitOps operator.
  • Kubernetes as the automation and convergence system.
  • GitLab CI/CD for Continuous Integration and the agent for Continuous Deployment.
  • Built-in automatic drift remediation.
  • Resource management with server-side applies for transparent multi-actor field management.

This diagram shows the repositories and main actors in a GitOps deployment:

  participant D as Developer
  participant A as Application code repository
  participant M as Manifest repository
  participant K as GitLab agent
  participant C as Agent configuration repository
  loop Regularly
    K-->>C: Grab the configuration
  D->>+A: Pushing code changes
  A->>M: Updating manifest
  loop Regularly
    K-->>M: Watching changes
    M-->>K: Pulling and applying changes

For details, view the architecture documentation.

GitOps workflow steps

To update a Kubernetes cluster by using GitOps, complete the following steps.

  1. Ensure you have a working Kubernetes cluster, and that the manifests are in a GitLab project.
  2. In the same project, register and install the GitLab agent.
  3. Configure the agent configuration file so that the agent monitors the project for changes to the Kubernetes manifests. Use the GitOps configuration reference for guidance.

Any time you commit updates to your Kubernetes manifests, the agent updates the cluster.

GitOps configuration reference

The following snippet shows an example of the possible keys and values for the GitOps section of an agent configuration file.

  - id: gitlab-org/cluster-integration/gitlab-agent
    default_namespace: my-ns
      # Read all YAML files from this directory. 
    - glob: '/team1/app1/*.yaml'
      # Read all .yaml files from team2/apps and all subdirectories.
    - glob: '/team2/apps/**/*.yaml'
      # If 'paths' is not specified or is an empty list, the configuration below is used.
    - glob: '/**/*.{yaml,yml,json}'
    reconcile_timeout: 3600s
    dry_run_strategy: none
    prune: true
    prune_timeout: 3600s
    prune_propagation_policy: foreground
    inventory_policy: must_match
Keyword Description
manifest_projects Projects where your Kubernetes manifests are stored. The agent monitors the files in the repositories in these projects. When manifest files change, the agent deploys the changes to the cluster.
id Required. Path to a Git repository that has Kubernetes manifests in YAML or JSON format. No authentication mechanisms are currently supported.
default_namespace Namespace to use if not set explicitly in object manifest. Also used for inventory ConfigMap objects.
paths Repository paths to scan for manifest files. Directories with names that start with a dot (.) are ignored.
paths[].glob Required. See doublestar and the match function for globbing rules.
reconcile_timeout Determines whether the applier should wait until all applied resources have been reconciled, and if so, how long to wait. Default is 3600 seconds (1 hour).
dry_run_strategy Determines whether changes should be performed. Can be: none, client, or server. Default is none.
prune Determines whether pruning of previously applied objects should happen after apply. Default is true.
prune_timeout Determines whether to wait for all resources to be fully deleted after pruning, and if so, how long to wait. Default is 3600 seconds (1 hour).
prune_propagation_policy The deletion propagation policy that should be used for pruning. Can be: orphan, background, or foreground. Default is foreground.
inventory_policy Determines whether an inventory object can take over objects that belong to another inventory object or don't belong to any inventory object. This is done by determining if the apply/prune operation can go through for a resource based on comparison of the inventory-id value in the package and the owning-inventory annotation ( in the live object. Can be: must_match, adopt_if_no_inventory, or adopt_all. Default is must_match.

GitOps annotations

The GitLab agent for Kubernetes has annotations you can use to:

  • Sort resources: Apply or delete resources in a specific order.
  • Use apply-time mutation: Dynamically substitute fields from one resource configuration to another.

The agent has default sorting, but with annotations, you can fine-tune the order and apply time-value injection.

To provide the GitOps functionality, the GitLab agent for Kubernetes uses the cli-utils library, a Kubernetes SIG project. You can read more about the available annotations in the cli-utils documentation.

Automatic drift remediation

Drift happens when the current configuration of an infrastructure resource differs from its expected configuration. Typically, this is caused by manually editing resources directly through the service that created the resource. Minimizing the risk of drift helps to ensure configuration consistency and successful operations.

In GitLab, the agent for Kubernetes regularly compares the expected state from the git repository with the known state from the cluster. Deviations from the git state are fixed at every check. These checks happen automatically every 5 minutes. They are not configurable.

The agent uses server-side applies. As a result, every field in a resource can have different managers. Only fields managed by git are checked for drift. This facilitates the use of in-cluster controllers to modify resources like Horizontal Pod Autoscalers.

Additional resources

The following documentation and examples can help you get started with a GitOps workflow.


Avoiding conflicts when you have multiple projects

The agent watches each glob pattern set under a project's paths section independently, and makes updates to the cluster concurrently. If changes are found at multiple paths, when the agent attempts to update the cluster, a conflict can occur.

To prevent this from happening, consider storing a logical group of manifests in a single place and reference them only once to avoid overlapping globs.

For example, both of these globs match *.yaml files in the root directory and could cause conflicts:

  - id: project1
    - glob: '/**/*.yaml'
    - glob: '/*.yaml'

Instead, specify a single glob that matches all *.yaml files recursively:

  - id: project1
    - glob: '/**/*.yaml'

Use multiple agents or projects

If you store your Kubernetes manifests in separate GitLab projects, update your agent configuration file with the location of these projects.

WARNING: The project with the agent's configuration file can be private or public. Other projects with Kubernetes manifests must be public. Support for private manifest projects is tracked in this issue.