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Clean up

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This document is for an unreleased version of Modelplane.

This document applies to the Modelplane main branch and not to the latest release v0.4.

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

Delete model resources

Delete model resources before clusters. A cluster refuses deletion while anything still runs on it. Foreground cascading deletion holds each resource until what it composed on the clusters is gone, so a cluster isn’t released while that’s still being removed:

bash
kubectl delete md --all -n ml-team --cascade=foreground
kubectl delete ms --all -n ml-team --cascade=foreground

Delete the gateway

Delete the gateway before its cluster. The InferenceGateway runs a load balancer on the cluster it names; deleting it while that cluster is still up lets the load balancer be removed, rather than leaking it when the cluster goes. Foreground deletion holds the gateway until its objects on the cluster are deleted:

bash
kubectl delete ig --all --cascade=foreground

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.

bash
kubectl delete ic --all --cascade=foreground

Wait until all clusters are deleted:

bash
kubectl get ic --watch

Delete the control plane

Delete the kind cluster:

bash
kind delete cluster --name modelplane