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USGS-CMG / data-life-cycle-cloud

Exploring the USGS Science Data Life Cycle in the Cloud: a 2017 CDI-funded project
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Get JupyterHub running with XSEDE JetStream Cloud using Kubernetes #3

Closed rsignell-usgs closed 6 years ago

rsignell-usgs commented 6 years ago

While JupyterHub can be installed on a single node on JetStream, the real power of the Cloud is scalability, which can be provided by Kubernetes. The suggested approach for getting JupyterHub going on the Cloud is provided in the guide "Zero-to-JupyterHub". Yuvi Panda gave a presentation on this installation approach which uses Helm, illustrating deployment on Google Cloud.

It has proven harder to get this going on JetStream OpenStack, however. We are working with JetStream support to overcome this.

zonca commented 6 years ago

this is very interesting! do you have any update on this?

ntrip6 commented 6 years ago

Walkthrough from Yuvi's recent workshop https://zero-to-jupyterhub.readthedocs.io/en/latest/index.html

Rich, your link above to installing JupyterHub on a single node on Jetstream doesn't work. Are those directions available?

rsignell-usgs commented 6 years ago

We now have this guide: https://zonca.github.io/2017/12/scalable-jupyterhub-kubernetes-jetstream.html and I have verified that it works, so closing.