Clean up

Delete the model resources, clusters, and finally the control plane.

Delete model resources

Delete model resources before clusters. Deleting a cluster first leaves the deployments reconciling against infrastructure that no longer exists.

kubectl delete md --all -n ml-team
kubectl delete ms --all -n ml-team

Wait for all model replicas to finish:

kubectl get modelreplica -n ml-team --watch

Delete the clusters

Delete all clusters with foreground cascading deletion. The serving stack on each workload cluster must uninstall while that cluster’s API server is still reachable. Foreground deletion holds each cluster object until its stack finishes. Background deletion can orphan cloud resources.

kubectl delete ic --all --cascade=foreground

Wait until all clusters are deleted:

kubectl get ic --watch

Delete the control plane

Delete the kind cluster:

kind delete cluster --name modelplane