RnD/infra

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znetsixe 2f5e3b4183 feat: SQL=postgres, nginx+certbot, MQTT split, ML stacks, gitea HTTPS-only, gemaal1 site

Round-2 changes locking in scaffold-phase decisions and adding ML/notebook stacks.

Locked decisions
- sql: postgres 16-alpine (was TBD); init.d/ mount for per-app DB provisioning
- nginx-proxy: stock nginx + certbot sidecar (was nginx:alpine TODO).
  Chose stock over nginxproxy/nginx-proxy because stream{} is required for
  MQTT-TLS reverse-proxy on tcp/8883 to rabbitmq:1883.
- gitea: HTTPS-only (DISABLE_SSH=true). No SSH port published.

MQTT split
- Remove stacks/mqtt placeholder.
- Add stacks/rabbitmq — general-purpose broker (AMQP + MQTT plugin),
  used at both cloud and edge. External MQTT clients reach cloud broker
  via nginx stream-proxy on 8883.
- Add stacks/mosquitto — reserved for the FROST (SensorThings) stack
  only. Cloud-only. Internal to its own stack; no external ingress.

ML / notebooks (cloud-only)
- stacks/mlflow — experiment tracking + model registry. Postgres backend
  on sql stack; local volume for artifacts (S3/MinIO is a TODO).
- stacks/jupyterhub — multi-user notebook server. DockerSpawner via
  mounted docker.sock; users spawn into cloud-app network so they can
  reach mlflow, influxdb (via grafana), rabbitmq.

Sites
- sites/gemaal1 — first edge deployment scaffold. Site-local override
  template for binding nginx to PLANT_LAN_IP.

Docs
- README + docs/architecture.md updated: stacks table now lists 15 stacks,
  ingress + attachment tables reflect mlflow/jupyterhub, TLS strategy
  section locked, MQTT-split section added, Gitea HTTPS-only noted.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-05-21 13:22:46 +02:00

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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)

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jupyterhub

TODO

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