# jupyterhub

Multi-user JupyterHub. Each authenticated user gets their own notebook container via DockerSpawner. **Cloud-only.**

- **Networks**: `app` (UI proxied at `/jupyter` or subdomain) + `mgmt` (Docker socket so JupyterHub can spawn user containers)
- **Spawned user containers** land on the `cloud-app` network so they can reach mlflow, influxdb (via grafana proxy), rabbitmq
- **Config**: `config/jupyterhub_config.py` — DockerSpawner setup, authenticator, admin list, resource limits

## TODO

- DockerSpawner config (image, network, user volumes, idle culling)
- Keycloak OAuth via `oauthenticator.generic.GenericOAuthenticator`
- Build a project-specific notebook image with EVOLV libs + mlflow client + InfluxDB client preinstalled
- Per-user persistent volume mounted at `/home/jovyan/work`
- CPU / memory limits per user container
- Cull idle servers (`c.JupyterHub.services` cull-idle pattern)