Description of problem:

When starting a XLarge container size for JupyterHub notebook server and the cluster doesn't have the resources to accommodate the container size, user is presented with a error message that doesn't indicate what they should do next. 

Prerequisites (if any, like setup, operators/versions):

Steps to Reproduce

1. Log into RHODS
2. Launch JupyterHub
3. Select X Large container size and start server

Actual results:

Error message is displayed to the user and doesn't tell them what to do next in order to keep going.

Expected results:

Error prevention:

If resources are not available for a container size, can one of three options possibly happen:

1. The container size is not be listed in the available options so the user never encounters the error or spends time starting up a server that won't start
2. If the container size option has to be listed, can a better error message be displayed to the user such as "Insufficient resources to start this container size - please contact your ITO to increase resources"
3. Is the user able to just increase the resources on their own if this occurs?

Reproducibility (Always/Intermittent/Only Once):

Always

Build Details:

Red Hat OpenShift Data Science operator version 1.0.14.

Additional info: