This topic describes how to remove an existing Cloudera AI Workbench and clean up any cloud
resources associated with the workbench. Currently, only Cloudera Data Platform users with both the MLAdmin
role and the EnvironmentAdmin account role can remove workbenches.
Log in to the Cloudera AI web interface.
Click Cloudera AI Workbenches.
Click on the Actions icon and select Remove Workbench.
Remove EFS Storage - This option is enabled by default. If you want to
retain project files on EFS, disable this property.
Force Delete - This property is not required by default. You should
first attempt to remove your workbench with this property disabled.
Enabling this property will delete the workbench
from Cloudera Data Platform but does not guarantee that the underlying cloud resources used by the
workbench will be cleaned up properly. Go to your cloud service provider account to
make sure that the cloud resources have been successfully deleted.
When manually cleaning up resources, make sure that the
following types of shared resources are not deleted:
AWS:
VPCs
Subnets
Storage (S3 buckets and bucket entries)
AWS IAM roles
Microsoft Azure
Virtual networks
Subnets
ADLS storage
Azure resource groups (RGs named <liftie-id> and
MC_<liftie-id>_<azure-region>)
