Delete an AWS Cluster

A self-managed workload cluster cannot delete itself. If your workload cluster is self-managed, you must create a bootstrap cluster and move the cluster lifecycle services to the bootstrap cluster before deleting the workload cluster.

If you did not make your workload cluster self-managed, as described in Make New Cluster Self-Managed, see Delete the workload cluster.

Follow these steps to prepare to delete an AWS Cluster.

Make sure your AWS credentials are up to date. Refresh the credentials using this command:
CODE
```
dkp update bootstrap credentials aws --kubeconfig $HOME/.kube/config
```
Create a bootstrap cluster:
The bootstrap cluster will host the Cluster API controllers that reconcile the cluster objects marked for deletion:
NOTE: To avoid using the wrong kubeconfig, the following steps use explicit kubeconfig paths and contexts.
CODE
```
dkp create bootstrap --kubeconfig $HOME/.kube/config --with-aws-bootstrap-credentials=true
```
CODE
```
 ✓ Creating a bootstrap cluster
 ✓ Initializing new CAPI components
```
Move the Cluster API objects from the workload to the bootstrap cluster: The cluster lifecycle services on the bootstrap cluster are ready, but the workload cluster configuration is on the workload cluster. The move command moves the configuration, which takes the form of Cluster API Custom Resource objects, from the workload to the bootstrap cluster. This process is also called a Pivot.
CODE
```
dkp move capi-resources \
	--from-kubeconfig ${CLUSTER_NAME}.conf \
	--from-context ${CLUSTER_NAME}-admin@${CLUSTER_NAME} \
	--to-kubeconfig $HOME/.kube/config \
	--to-context kind-konvoy-capi-bootstrapper
```
CODE
```
✓ Moving cluster resources
You can now view resources in the moved cluster by using the --kubeconfig flag with kubectl. For example: kubectl --kubeconfig $HOME/.kube/config get nodes
```

Use the cluster lifecycle services on the workload cluster to check the workload cluster status:

CODE

dkp describe cluster --kubeconfig $HOME/.kube/config -c ${CLUSTER_NAME}

CODE

NAME                                                            READY  SEVERITY  REASON  SINCE  MESSAGE
Cluster/aws-example                                             True                     91s
├─ClusterInfrastructure - AWSCluster/aws-example                True                     103s
├─ControlPlane - KubeadmControlPlane/aws-example-control-plane  True                     91s
│ ├─Machine/aws-example-control-plane-55jh4                     True                     102s
│ ├─Machine/aws-example-control-plane-6sn97                     True                     102s
│ └─Machine/aws-example-control-plane-nx9v5                     True                     102s
└─Workers
  └─MachineDeployment/aws-example-md-0                          True                     108s
	├─Machine/aws-example-md-0-cb9c9bbf7-hcl8z                  True                     102s
	├─Machine/aws-example-md-0-cb9c9bbf7-rtdqw                  True                     102s
	├─Machine/aws-example-md-0-cb9c9bbf7-td29r                  True                     102s
	└─Machine/aws-example-md-0-cb9c9bbf7-w64kg                  True                     102s

NOTE: After moving the cluster lifecycle services to the workload cluster, remember to use dkp with the workload cluster kubeconfig. Use dkp with the bootstrap cluster to delete the workload cluster.

Wait for the cluster control-plane to be ready:

CODE

kubectl --kubeconfig $HOME/.kube/config wait --for=condition=controlplaneready "clusters/${CLUSTER_NAME}" --timeout=20m

CODE

cluster.cluster.x-k8s.io/aws-example condition met

Persistent Volumes (PVs) are not deleted automatically by design in order to preserve your data. However, they take up storage space if not deleted. You must delete PVs manually.

Delete the Workload Cluster

Make sure your AWS credentials are up to date. Refresh the credentials using this command:
CODE
```
dkp update bootstrap credentials aws --kubeconfig $HOME/.kube/config
```
To delete a cluster, you would use dkp delete cluster and pass in the name of the cluster you are trying to delete with --cluster-name flag. You would use kubectl get clusters to get those details (--cluster-name and --namespace) of the Kubernetes cluster to delete it.
NOTE: Do not use dkp get clusters since that gets you Kommander cluster details rather than Konvoy kubernetes cluster details.
CODE
```
kubectl get clusters
```
Delete the Kubernetes cluster and wait a few minutes:

NOTE: Before deleting the cluster, dkp deletes all Services of type LoadBalancer on the cluster. Each Service is backed by an AWS Classic ELB. Deleting the Service deletes the ELB that backs it. To skip this step, use the flag --delete-kubernetes-resources=false. Do not skip this step if the VPC is managed by DKP. When DKP deletes the cluster, it deletes the VPC. If the VPC has any AWS Classic ELBs, AWS does not allow the VPC to be deleted, and DKP cannot delete the cluster.
CODE
```
dkp delete cluster --cluster-name=${CLUSTER_NAME} --kubeconfig $HOME/.kube/config
```
CODE
```
✓ Deleting Services with type LoadBalancer for Cluster default/azure-example
✓ Deleting ClusterResourceSets for Cluster default/azure-example
✓ Deleting cluster resources
✓ Waiting for cluster to be fully deleted
Deleted default/azure-example cluster
```
After the workload cluster is deleted, delete the bootstrap cluster.

Delete the Bootstrap Cluster

After you have moved the workload resources back to a bootstrap cluster and deleted the workload cluster, you no longer need the bootstrap cluster. You can safely delete the bootstrap cluster with these steps:

Make sure your AWS credentials are up to date. Refresh the credentials using this command:
CODE
```
dkp update bootstrap credentials aws --kubeconfig $HOME/.kube/config
```

Delete the bootstrap cluster:

CODE

dkp delete bootstrap --kubeconfig $HOME/.kube/config

CODE

✓ Deleting bootstrap cluster

Next Step:

After your cluster is built in the Konvoy component of DKP for your infrastructure/environment, you will install the Kommander component of DKP to see your dashboard and continue customization.

Known Limitations

Be aware of these limitations in the current release of Konvoy.

The Konvoy version used to create the workload cluster must match the Konvoy version used to delete the workload cluster.