# Karmada operator ## Overview The Karmada operator is a method for installing, upgrading, and deleting Karmada instances. It builds upon the basic Karmada resource and controller concepts, provides convenience to centrally manage entire lifecycle of Karmada instances in a global cluster. With the operator, you can extend Karmada with custom resources (CRs) to manage your instances not only in local clusters but also in remote clusters. This document is an overview of how the operator works from a user perspective. ## Developer quick start This section describes how to install `karmada-operator` and create a Karmada instance with CR. ### Prerequisites - Kubernetes 1.16+ - Helm v3+ ### Deploy `karmada-operator` #### Helm install Go to the root directory of the `karmada-io/karmada` repo. To install the Helm Chart with the release name `karmada-operator` in the namespace `karmada-system`, simply run the helm command: ```shell helm install karmada-operator -n karmada-system --create-namespace --dependency-update ./charts/karmada-operator --debug ``` #### Using YAML resource The `karmada-operator` workload requires a kubeconfig of the local cluster to establish a connection with the cluster and watch CR resources. In preparation for this, create a secret containing the kubeconfig for the karmada-operator. ```shell kubectl create namespace karmada-system kubectl create secret generic my-kubeconfig --from-file=$HOME/.kube/config -n karmada-system ``` Deploy the `karmada-operator` workload. ```shell kubectl apply -f operator/config/deploy/karmada-operator.yaml ``` The pod of `karmada-operator` in the `karmada-system` namespace will be running. ```shell kubectl get po -n karmada-system ``` ```none NAME READY STATUS RESTARTS AGE karmada-operator-5b7f485c5-g5lj5 1/1 Running 0 26s ``` ### Install Karmada operator crds ```shell kubectl apply -f operator/config/crds/ ``` ### Create a Karmada instance The Karmada operator provides a Karmada CR that can define most configurations for Karmada components. It includes `image` messages, `replica`, the `args` of binary file, and custom `label`, `annotation`, and `featuregate`. For details, see [API](./pkg/apis/operator/v1alpha1/type.go). A Karmada CR represents a Karmada instance, which is a namespace-scoped resource. The example below is to create a simple Karmada CR in the `test` namespace: ```shell kubectl create namespace test kubectl apply -f - < ~/.kube/karmada-apiserver.config export KUBECONFIG=~/.kube/karmada-apiserver.config ``` > **Tip**: > > If no `spec.hostCluster.secretRef` is specified in CR, the Karmada instance will be installed in the cluster where `karmada-operator` is located. ### Upgrade a Karmada instance Once a Karmada instance is created, the CR resource is automatically filled with default values. To upgrade the Karmada instance, for example, you can upgrade the Karmada version to v1.5.0 or higher: ```shell kubectl patch karmada karmada-demo -n test --type merge -p ' { "spec": { "components": { "karmadaAggregatedAPIServer": { "imageTag": "v1.5.0" }, "karmadaControllerManager": { "imageTag": "v1.5.0" }, "karmadaScheduler": { "imageTag": "v1.5.0" }, "karmadaWebhook": { "imageTag": "v1.5.0" } } } }' ``` ### Delete a Karmada instance Deleting a Karmada CR is a delicate operation that requires careful attention. Once the Karmada CR is deleted, the associated Karmada instance will also be deleted. It is important to proceed with caution when deleting a Karmada CR due to the potential risks involved. ```shell kubectl delete karmada karmada-demo -n test ``` If you want to delete a Karmada CR without cascading deletion of the associated Karmada instance, you can run the following command before performing the deletion operation. ```shell kubectl label karmada karmada-demo -n test operator.karmada.io/disable-cascading-deletion=true ``` ### Custom Karmada CR This feature allows you to configure the Karmada CR to install Karmada instances flexibly. For details, see [karmada.yaml](./config/samples/karmada.yaml). #### Set Karmada component replicas The `replicas` of all Karmada components can be modified. For example, you can scale the etcd pod `replicas` to 3: ```yaml apiVersion: operator.karmada.io/v1alpha1 kind: Karmada metadata: name: karmada-demo namespace: test spec: components: etcd: local: replicas: 3 ``` #### Custom label and annotation All Karmada components allow for custom labels and annotations to be set. These are merged into both pod and workload resources. ```yaml apiVersion: operator.karmada.io/v1alpha1 kind: Karmada metadata: name: karmada-demo namespace: test spec: components: karmadaAPIServer: labels: : annotations: : ``` #### Change karmada-apiserver service type The service type of karmada-apiserver is `ClusterIP` by default. You can change it to `NodePort`: ```yaml ... karmadaAPIServer: imageRepository: registry.k8s.io/kube-apiserver imageTag: v1.29.6 replicas: 1 serviceType: NodePort serviceSubnet: 10.96.0.0/12 ... ``` #### Add karmada-apiserver SANs You can add more SANs to karmada-apiserver certificate: ```yaml ... karmadaAPIServer: imageRepository: registry.k8s.io/kube-apiserver imageTag: v1.29.6 replicas: 1 serviceSubnet: 10.96.0.0/12 certSANs: - "kubernetes.default.svc" - "127.0.0.1" ... ``` #### Install karmada addon By default, the Karmada operator does not install the `descheduler` and `search` addons. If you want to use them, you should add definitions to the Karmada CR. Here is an example of the `descheduler` addon: ```yaml apiVersion: operator.karmada.io/v1alpha1 kind: Karmada metadata: name: karmada-demo namespace: test spec: components: karmadaDescheduler: {} ``` If you want to install with the defaults, simply define an empty struct for `descheduler`. ## Contributing The `karmada/operator` repo is part of Karmada from 1.5 onwards. If you're interested in the Karmada operator and want to contribute your code and ideas, welcome to open PRs and issues. See [CONTRIBUTING](../CONTRIBUTING.md) for details on submitting patches and the contribution workflow.