Delete a managed cluster

Due to a development limitation in baremetal operator, deletion of a managed cluster requires preliminary deletion of the worker machines running on the cluster.

Warning

We recommend deleting cluster machines using the Container Cloud web UI or API instead of using the cloud provider tools directly. Otherwise, the cluster deletion or detachment may hang and additional manual steps will be required to clean up machine resources.

Using the Container Cloud web UI, first delete worker machines one by one until you hit the minimum of 2 workers for an operational cluster. After that, you can delete the cluster with the remaining workers and managers.

To delete a baremetal-based managed cluster:

  1. Log in to the Container Cloud web UI with the m:kaas:namespace@operator or m:kaas:namespace@writer permissions.

  2. Switch to the required project using the Switch Project action icon located on top of the main left-side navigation panel.

  3. In the Clusters tab, click the required cluster name to open the list of machines running on it.

  4. Click the More action icon in the last column of the worker machine you want to delete and select Delete. Confirm the deletion.

  5. Repeat the step above until you have 2 workers left.

  6. In the Clusters tab, click the More action icon in the last column of the required cluster and select Delete.

  7. Verify the list of machines to be removed. Confirm the deletion.

  8. If the cluster deletion hangs and the Deleting status message does not disappear after a while, refer to Cluster deletion or detachment freezes to fix the issue.

  9. Optional. If you do not plan to reuse the credentials of the deleted cluster, delete them:

    1. In the Credentials tab, click the Delete credential action icon next to the name of the credentials to be deleted.

    2. Confirm the deletion.

    Warning

    You can delete credentials only after deleting the managed cluster they relate to.

Deleting a cluster automatically frees up the resources allocated for this cluster, for example, instances, load balancers, networks, floating IPs, and so on.