This controller manage Keycloak clients and realms over Kubernetes resources and creates a Kubernetes secret with the clientSecret
for clients of type confidential
.
Within the cluster, multiple Keycloak instances can be referenced. This become useful in a multi-tenant environment where different services has to be registered at different Keycloak instances.
By default, the controller watches only for events in its namespace. To enable watching in all namespaces set environment variable CONTROLLER_NAMESPACED=false
.
Before deploying the controller, create the CustomResourceDefinition:
kubectl apply -f src/main/k8s/
The controller can then be deployed using the corresponding helm chart.
The Docker container can be found here: https://hub.docker.com/r/kiwigrid/keycloak-controller
See sub-dir examples
for more sophisticated samples.
apiVersion: k8s.kiwigrid.com/v1beta1 kind: Keycloak metadata: name: keycloak-instance-example spec: url: https://keycloak.example.com/auth realm: master clientId: admin-cli username: admin passwordSecretName: keycloak-http
apiVersion: k8s.kiwigrid.com/v1beta1 kind: KeycloakRealm metadata: name: realm-example spec: keycloak: keycloak-instance-example realm: my-realm roles: - service - admin - operations
apiVersion: k8s.kiwigrid.com/v1beta1 kind: KeycloakClient metadata: name: client-example spec: keycloak: keycloak-instance-example realm: my-realm clientId: client-example clientType: public directAccessGrantsEnabled: true standardFlowEnabled: false implicitFlowEnabled: false mapper: - name: example-service-audience protocolMapper: oidc-audience-mapper config: claim.name: audience access.token.claim: "true" included.client.audience: my-service
To test the controller using the same process as Github Actions from a blank container, install act
:
And then trigger the pull request action:
act pull_request -P ubuntu-latest=nektos/act-environments-ubuntu:18.04
To run Keycloak Controller locally some of the same scripts that power the Github Actions can be used, but you'll want to provision your machine locally instead, as you most likely don't want to delete all your installs and builds for every single change, or change your local environment in a forceful manner - such as installing versions of a tool that conflicts with another local tool you are using.
The tools you'll need to make sure are installed are kubectl
, helm
, kind
, java
, and maven
.
Please look at their official documentation to find how to install each.
Once they are installed you can run the various ci scripts:
Here is an example of running the full pipeline, parallelized where possible - of course you could run them ad-hoc in any order that makes sense:
Build .jar
and run a Kubernetes cluster in Docker:
bash .github/local.maven.sh & bash .github/local.kind.sh & wait
Build docker image using .jar from previous step, and get Helm ready:
bash .github/ci.docker-build.sh & bash .github/ci.helm.sh & wait
Install Keycloak and Keycloak Controller configured to use the image produced and uploaded to Kind in the last step:
bash .github/ci.keycloak.sh "9.0.1" & \ bash .github/ci.keycloak-controller.sh "0.6.1" & \ wait
bash .github/ci.example.sh &&
bash .github/ci.verify.sh
Make changes and see them running in Kubernetes
bash .github/local.maven.sh &&
bash .github/ci.docker-build.sh &&
kubectl rollout restart deployment -n keycloak keycloak-controller &&
kubectl rollout status deployment -n keycloak keycloak-controller
kind delete clusters chart-testing
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