Enabling Quota Management in Cloudera AI

To enable Quota Management in Cloudera AI it needs to be configured. Follow the recommended configuration guidelines.

Set up the Kubernetes and kubectl as defined in Prerequisites.

The Quota Management feature cannot be enabled for an existing workbench. Cloudera recommends that the Administrator provisions a new workbench and enables the Quota Management feature.

Configure the kubectl using the kubeconfig file.
Edit the Cloudera AI control plane deployment:
```
kubectl get deploy dp-mlx-control-plane-app -n <cdp-namespace> -o yaml
> <file-name>
```
This saves the Cloudera AI control plane deployment specification.
Edit the Cadence Worker deployment with the following command:
```
kubectl get deploy dp-cadence-worker -n <cdp-namespace> -o yaml > <cadence-file-name>
```
The command saves both control plane and Cadence Worker deployment specification.
Take a backup of the above files.
Search for the environment variable ENABLE_UMBRA_INTEGRATION in both files, and change the value to true.
Save the deployment files and run the following commands:
```
kubectl apply -f <file-name>
```
```
kubectl apply -f <cadence-file-name>
```
Wait for the new pods to come up.
Verify the new pods by running the following command:
```
kubectl get pods -n <cdp-namespace>
```