I am just setting up a JupyterHub / Kubernetes cluster for our University, and I’m considering NFS for home directory storage.
I found the DataHub writeup - and that made me wonder - what is the current best advice for using NFS on Google Cloud? Is it the data8x approach of Google Cloud Filestore? Or a hand-maintained server? How about the best client connection method? Where would I start in compiling a recipe?