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Keycloak on Quarkus

operator/README.md

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Keycloak on Quarkus

The module holds the codebase to build the Keycloak Operator on top of Quarkus. Using the Quarkus Operator SDK.

Also see Operator guides

Activating the Module

When build from the project root directory, this module is only enabled if the installed JDK is 17 or newer.

Building

Ensure you have JDK 17 (or newer) installed.

Build the Docker image with:

bash
mvn clean package -Dquarkus.container-image.build=true

This will build a container image from Dockerfile, using docker by default. podman is also supported if you do these steps beforehand:

  • Follow this guide to enable the podman user socket
  • Set the DOCKER_HOST environment variable to point at this user socket. For example: DOCKER_HOST=unix:///run/user/1000/podman/podman.sock.
  • You may also have to set QUARKUS_DOCKER_EXECUTABLE_NAME=podman

Configuration

The Keycloak image can be configured, when starting the operator, using the Java property:

kc.operator.keycloak.image

And the imagePullPolicy with:

kc.operator.keycloak.image-pull-policy

Contributing

Quick start on Minikube

Start minikube with ingress addon and cilium Container Network Interface (CNI). Vanilla minikube does not support Network Policies, and Cilium implements the CNI and supports Network Policies. Another CNI implementation may work too.

bash
minikube start --addons ingress --cni cilium --cpus=max

Enable the Minikube Docker daemon:

bash
eval $(minikube -p minikube docker-env)

Compile the project and generate the Docker image with JIB:

bash
mvn clean package -Dquarkus.kubernetes.image-pull-policy=IfNotPresent -Dquarkus.container-image.build=true

Install the CRD definition and the operator in the cluster in the keycloak namespace:

bash
kubectl create namespace keycloak
kubectl apply -k target

to install in the default namespace:

bash
kubectl apply -k overlays/default-namespace

Remove the created resources with:

bash
kubectl delete -k <previously-used-folder>

Testing

Testing allows 3 methods specified in the property test.operator.deployment : local_apiserver, local & remote.

local_apiserver : the default, where resources will be deployed to a jenvtest controlled api server (not a full kube environment) and the operator will run locally - not all tests can run in this mode. This is the fastest mode of testing as no externally managed kube environment is needed. As long as your test does not need a running Keycloak instance, this level of testing should be applicable.

local : resources will be deployed to the local cluster and the operator will run out of the cluster

remote : same as local test but an image for the operator will be generated and deployed run inside the cluster

bash
mvn clean verify \
  -Dquarkus.container-image.build=true \
  -Dquarkus.container-image.tag=test \
  -Dquarkus.kubernetes.image-pull-policy=IfNotPresent \
  -Dtest.operator.deployment=remote

To run tests on Mac with minikube and the docker driver you should run minikube tunnel in a separate shell and configure the Java properties as follows:

bash
-Dtest.operator.kubernetes.ip=localhost

On Linux or on Mac using minikube on a VM, instead you should enable ingress:

bash
minikube addons enable ingress

To avoid skipping tests that are depending on custom Keycloak images, you need to build those first:

bash
./scripts/build-testing-docker-images.sh [SOURCE KEYCLOAK IMAGE TAG] [SOURCE KEYCLOAK IMAGE]

And run the tests passing an extra Java property:

bash
-Dtest.operator.custom.image=custom-keycloak:latest

Testing using a pre-built operator image from a remote registry

You can run the testsuite using an already built operator image from a remote image registry.

To do this, you need to set quarkus.container-image.build=false and specify the desired image you want to use by setting quarkus.container-image.image=<your-image>:<your-tag>

Example:

bash
 mvn clean verify \
      -Dquarkus.container-image.build=false \
      -Dquarkus.container-image.image=quay.io/keycloak/keycloak-operator:nightly \
      -Dtest.operator.deployment=remote