UC Berkeley’s JupyterHubs

This repository contains configuration and documentation (including policies) for the many JupyterHubs used by various organizations in UC Berkeley.

Using DataHub

• Using DataHub
  • Services Offered
  • Accessing private GitHub repos
  • JupyterHubs in this repository
  • User Authentication

Modifying DataHub to fit your needs

Our infrastructure can serve the diverse needs of our students only if it is built by a diverse array of people.

• Contributing to DataHub
  • Pre-requisites
  • Repository Structure
  • User home directory storage
  • Kubernetes Cluster Configuration
  • Cloud Credentials
  • Incident reports
  • Common Administrator Tasks
  • Hub Deployments
• Common Administrator Tasks
  • Preview documentation changes locally
  • Add an admin user
  • Update DNS
  • Creating and managing the core node pool
  • Create a new Hub
  • Rebuild a custom hub image
  • Rebuild the custom postgres image
  • Testing and Upgrading New Packages
  • Course Configuration
  • Calendar Node Pool Autoscaler
  • Prometheus and Grafana
  • Remove inactive users from hub ORM
  • Delete or spin down a Hub

DataHub Policies

• Datahub Policy Documents
  • Process to publish policy proposals
  • Policy considerations for creating a new hub
  • Policy considerations for deploying to the main Datahub
  • Principles to be considered while creating new policies