NFS Options for Private Cloud

Cloudera AI Private Cloud requires a Network File System (NFS) server for storing project files and folders.

On Cloudera Embedded Container Service, NFS is part of the overall installation, and no additional setup steps are required.

You can use an NFS server that is external to the cluster, such as a NetApp Filer appliance. In this case, you must manually create a directory for each workbench. In this case, the NFS server must be configured before deploying the first Cloudera AI Workbench in the cluster. One important limitation is that Cloudera AI does not support using shared volumes for storing project files.

Storage provisioner change On OCP, CephFS is used as the underlying storage provisioner for any new internal workbench on Cloudera Private Cloud 1.5.1. A storage class named ocs-storagecluster-cephfs with CSI driver set to openshift-storage.cephfs.csi.ceph.com must exist in the cluster for new internal workbenches to get provisioned. Each workbench will have separate 1 TB internal storage.

On Cloudera Embedded Container Service, any new internal workbench on 1.5.1 will use Longhorn as the underlying storage provisioner. A storage class named longhorn with CSI driver set to driver.longhorn.io must exist in the cluster for new internal workbenches to get provisioned. Each workbench will have separate 1 TB internal storage.

On either Cloudera Embedded Container Service or OCP, internal workbenches running on Cloudera Private Cloud 1.4.0/1.4.1 use NFS server provisioner as the storage provisioner. These workbenches when upgraded to 1.5.0 will continue to run with the same NFS server Provisioner. However, NFS server provisioner is now deprecated and is not supported in the 1.5.1 release.

Existing workbenches in 1.4.0/1.4.1 can be upgraded to 1.5.0 from Cloudera Private Cloud UI. After this, you can do one of the following:
  • Migrate the 1.5.0 upgraded workbench from NFS server provisioner to Longhorn (Cloudera Embedded Container Service) / Cephfs (OCP) if you want to continue using the same workbench in Cloudera Private Cloud 1.5.1 as well
  • Create a new 1.5.0 workbench and migrate the existing workloads to that before upgrading to the 1.5.1 release.