Add Docker registry credentials and certificates

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

Add Docker Registry Credentials to CML

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.

note

Consult the documentation of your chosen docker registry to understand what docker login credentials it expects. The expected credentials might be different from your own username and password. Many registries require docker authentication using tokens or API keys.

kubectl create secret docker-registry regcred 
    --docker-server=<server host> 
    --docker-username=AWS 
    --docker-password=$(aws ecr get-login-password --region <region>)
    -n <compute namespace eg. mlx>