Add Docker registry credentials

To enable Cloudera Data Science Workbench to fetch custom ML Runtimes from a secure repository, as Administrator you need to add Docker registry credentials.

Create a kubectl secret named regcred for your secured Docker registry. The following command creates the secret in your Kubernetes cluster:

kubectl create secret docker-registry regcred 
    --docker-server=<server host> 
    --docker-username=<username> 
    --docker-password=<password> 
    -n <compute namespace eg. mlx>

The next time the ML Runtime image is pulled, the new secret will be picked up.