dkp delete cluster
Delete a Kubernetes cluster
CODE
dkp delete cluster [flags]
Options
CODE
--aws-service-endpoints string Custom AWS service endpoints in a semi-colon separated format: ${SigningRegion1}:${ServiceID1}=${URL},${ServiceID2}=${URL};${SigningRegion2}...
-c, --cluster-name name Name used to prefix the cluster and all the created resources.
--delete-kubernetes-resources Delete Kubernetes resources on the cluster before deleting that cluster (Services with type LoadBalancer) (default true)
-h, --help help for cluster
--http-proxy string HTTP proxy for CAPI controllers
--https-proxy string HTTPS proxy for CAPI controllers
--kind-cluster-image string Kind node image for the bootstrap cluster (default "mesosphere/konvoy-bootstrap:v2.4.2")
--kubeconfig string Path to the kubeconfig for the management cluster. If unspecified, default discovery rules apply.
-n, --namespace string If present, the namespace scope for this CLI request. (default "default")
--no-proxy strings No Proxy list for CAPI controllers (default [])
--self-managed When set to true, the required prerequisites and resources are moved from the self managed cluster before deleting. When set to false, the resources are assumed installed in a management cluster.(default false)
--timeout duration The length of time to wait before giving up. Zero means wait forever (e.g. 1s, 2m, 3h). (default 15m0s)
--wait If true, wait for operations to complete before returning. (default true)
--with-aws-bootstrap-credentials Set true to use AWS bootstrap credentials from your environment. When false, the instance profile of the EC2 instance where the CAPA controller is scheduled on will be used instead.
--with-gcp-bootstrap-credentials Set true to use GCP bootstrap credentials from your environment. When false, the service account of the VM instance where the CAPG controller is scheduled on will be used instead.
Options inherited from parent commands
CODE
-v, --verbose int Output verbosity
SEE ALSO
- dkp delete - Delete one of [bootstrap, capi-components, chart, cluster, nodepool]