The governance policy propagator is a controller that watches Policies
, PlacementBindings
, and PlacementRules
. It manages replicated Policies in cluster namespaces based on the PlacementBindings and PlacementRules, and it updates the status on Policies to show aggregated cluster compliance results. This controller is a part of the governance-policy-framework.
The operator watches for changes to trigger a reconcile:
- Changes to Policies in non-cluster namespaces trigger a self reconcile.
- Changes to Policies in cluster namespaces trigger a root Policy reconcile.
- Changes to PlacementBindings trigger reconciles on the subject Policies.
- Changes to PlacementRules trigger reconciles on subject Policies.
Every reconcile does the following:
- Creates/updates/deletes replicated policies in cluster namespaces based on PlacementBinding/PlacementRule results.
- Creates/updates/deletes the policy status to show aggregated cluster compliance results.
Go to the Contributing guide to learn how to get involved.
Check the Security guide if you need to report a security issue.
The YAML files in the deploy directory are autogenerated by Kubebuilder and Kustomize. After code
changes that affect the YAML files, the YAML files can be regenerated with
make generate-operator-yaml
.
You will need kind installed.
make kind-bootstrap-cluster-dev
make build-images
make kind-deploy-controller-dev
make test-dependencies
make test
make e2e-dependencies
make e2e-test
make kind-delete-cluster
Some of the deployment resources are generated by kubebuilder - the crds are generated into ./deploy/crds
and the rbac details from kubebuilder comments are compiled into ./deploy/rbac/role.yaml
. Other details are managed independently - in particular, the details in ./deploy/manager/manager.yaml
. When any of those details need to be changed, the main deployment yaml ./deploy/operator.yaml
must be regenerated through the make generate-operator-yaml
target. The ./deploy/operator.yaml
SHOULD NOT be manually updated.
- The
governance-policy-propagator
is part of theopen-cluster-management
community. For more information, visit: open-cluster-management.io.