# k8-operator // TODO ## Description // TODO ## Getting Started You’ll need a Kubernetes cluster to run against. You can use [KIND](https://sigs.k8s.io/kind) to get a local cluster for testing, or run against a remote cluster. **Note:** Your controller will automatically use the current context in your kubeconfig file (i.e. whatever cluster `kubectl cluster-info` shows). ### Running on the cluster 1. Install Instances of Custom Resources: ```sh kubectl apply -f config/samples/ ``` 2. Build and push your image to the location specified by `IMG`: ```sh make docker-build docker-push IMG=/k8-operator:tag ``` 3. Deploy the controller to the cluster with the image specified by `IMG`: ```sh make deploy IMG=/k8-operator:tag ``` ### Uninstall CRDs To delete the CRDs from the cluster: ```sh make uninstall ``` ### Undeploy controller UnDeploy the controller to the cluster: ```sh make undeploy ``` ## Contributing // TODO ### How it works This project aims to follow the Kubernetes [Operator pattern](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/) It uses [Controllers](https://kubernetes.io/docs/concepts/architecture/controller/) which provides a reconcile function responsible for synchronizing resources untile the desired state is reached on the cluster ### Test It Out 1. Install the CRDs into the cluster: ```sh make install ``` 2. Run your controller (this will run in the foreground, so switch to a new terminal if you want to leave it running): ```sh make run ``` **NOTE:** You can also run this in one step by running: `make install run` ### Modifying the API definitions If you are editing the API definitions, generate the manifests such as CRs or CRDs using: ```sh make manifests ``` Also, after editing the API definitions, update the kubectl-install folder: ```sh make kubectl-install ``` **NOTE:** Run `make --help` for more information on all potential `make` targets More information can be found via the [Kubebuilder Documentation](https://book.kubebuilder.io/introduction.html)