Administrator Guide

This section provides information on managing and maintaining a staging or production deployment of JupyterHub. It has considerations for managing cloud-based deployments and tips for maintaining your deployment.

Administrator Guide

• The JupyterHub Architecture
• Debugging
  • Verbose logging
  • Debugging commands
• Authentication and authorization
  • Useful understanding
  • General configuration
  • Configuring authenticator classes
• Services
  • Hub-managed services in z2jh
  • Example service
• Optimizations
  • Pulling images before users arrive
  • Efficient Cluster Autoscaling
  • Balancing “guaranteed” vs “maximum” memory and CPU
  • Explicit memory and CPU allocated to core pods’ containers
• Security
  • Reporting a security issue
  • HTTPS
  • Minimal hub image
  • Secure access to Helm
  • Delete the Kubernetes Dashboard
  • Use Role Based Access Control (RBAC)
  • Kubernetes API Access
  • Audit Cloud Metadata server access
  • Kubernetes Network Policies
  • Restricting Load Balancer Access
• Upgrading JupyterHub for Kubernetes
  • Major helm-chart upgrades
  • helm upgrade command
  • Database
  • Custom Docker Images: JupyterHub version match
  • JupyterHub versions installed in each Helm Chart
  • Troubleshooting
• Customization Guide
  • Customizing your Deployment
  • Customizing User Environment
  • Customizing User Resources
  • Customizing User Storage
  • Customizing User Management
• FAQ
  • I thought I had deleted my cloud resources, but they still show up. Why?
  • How does billing for this work?
  • What version of JupyterHub is installed in the Helm Chart?
• Advanced Topics
  • Ingress
  • Arbitrary extra code and configuration in jupyterhub_config.py
• Appendix: Projecting deployment costs
  • Cost calculators for cloud providers
  • Factors influencing costs
  • Examples