To enable more efficient usage and administration of JupyterHubs on shared computational infrastructure, we will build tools to:
[ ] collect actionable metrics about resource usage including CPU and Memory usage, available Disk space, or hardware and software failures within JupyterHub deployments
[ ] expose these metrics to users so they can adapt their computational work accordingly
[ ] expose these metrics to administrators so they can plan & customize the deployment to better meet user’s needs
The outcome of this work will be a customizable template that can be included in JupyterHub deployments that follow the Zero to JupyterHub guide.
To enable more efficient usage and administration of JupyterHubs on shared computational infrastructure, we will build tools to:
The outcome of this work will be a customizable template that can be included in JupyterHub deployments that follow the Zero to JupyterHub guide.