Often, production deploys of HPE ML Data Management involve deploying HPE ML Data Management to a non-default namespace. This helps administrators of the cluster more easily manage HPE ML Data Management components alongside other things that might be running inside of Kubernetes (DataDog, TensorFlow Serving, etc.).
To deploy HPE ML Data Management to a non-default namespace, you need to add the
-n
or--namespace
flag when deploying. If the namespace does not already exist, you can have Helm create it with--create-namespace
.helm install <args> --namespace pachyderm --create-namespace
To talk to your HPE ML Data Management cluster:
You can either modify an existing pachctl context
pachctl config update context --namespace pachyderm