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.
-
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 will save 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>