Differences Between Cloudera on cloud and Cloudera on premises
There are some differences in Cloudera AI functionality between Cloudera on cloud and Cloudera on premises.
| Feature | Cloudera on cloud | Cloudera on premises 1.5.x |
|---|---|---|
| Cloudera AI application control plane (infrastructure containers and workload containers) | Control plane is hosted on Cloudera on cloud servers. | Control plane is hosted on customer’s cluster. |
| Storage - Cloudera AI internal state data (database, images, logs) | EBS on AWS, Azure Disks on Azure. | Software Defined Storage System, such as Ceph or Portworx. |
| Storage - User project files | EFS on AWS, external NFS on Azure. | Internal NFS storage is recommended. |
| Autoscaling | CPU/GPU nodes scale up and down as needed. | Autoscaling concept is different; Cloudera on premises shares a pooled set of resources among workloads. |
| Logging | Per-workbench diagnostic bundles can be downloaded from the workbench. | Diagnostic bundles are not supported at workbench level, but can be downloaded from the control plane at the cluster level. |
| Monitoring dashboards | Provides four dashboards. | Provides two dashboards, for K8s Container and K8s Cluster. |
| NFS support | AWS uses EFS; Azure requires external NFS. | Internal NFS is recommended, external NFS is supported. |
| TLS support | TLS access to workbenches is supported. | TLS access is supported, but requires manual setup of certificate and other steps. |
| Hadoop Authentication | Uses FreeIPA | User needs to provide credentials to communicate with the Cloudera Base on premises cluster. |
| Remote Access | Available from each workbench. | Not available in the workbench. Instead, the environment's kubeconfig
file may be downloaded from Environments using the Download
Kubernetes configuration action for the specified environment. |
| Roles | MLAdmin, MLUser | The corresponding roles are: EnvironmentAdmin, EnvironmentUser |
