How to Deploy JupyterHub with Kubernetes on OpenStack
Jupyter is now widely used for teaching and research. The use of Kubernetes for deploying a JupyterHub has enabled reliable setups scaling to thousands of users. There are many cloud computing vendors (Google, Amazon, …) and the first attempts to use JupyterHub with Kubernetes is based on them. But relying on vendor clouds increases the risk of vendor lock-in. In addition, there are many pre-exist
Pangeo: JupyterHub, Dask, and XArray on the Cloud
This work is supported by Anaconda Inc, the NSF EarthCube program, and UC Berkeley BIDS A few weeks ago a few of us stood up pangeo.pydata.org, an experimental deployment of JupyterHub, Dask, and XArray on Google Container Engine (GKE) to support atmospheric and oceanographic data analysis on large datasets. This follows on recent work to deploy Dask and XArray for the same workloads on super comp
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