Health endpoints:
- /api/health (Journal) and /health (Planner) with DB connectivity check
- Docker healthchecks updated to use app health endpoints
Structured logging:
- Pino with JSON output in production, pretty-print in dev
- Request logging middleware in Planner (method, path, status, duration)
- Replaced console.log/error with structured logger in email and auth flows
Prometheus metrics:
- prom-client with default Node.js metrics + custom histograms/gauges
- /metrics endpoints on both apps
- http_request_duration, planner_active_sessions, brouter_request_duration
Monitoring stack:
- Prometheus, Loki, Grafana containers in docker-compose
- Grafana provisioned with datasources, dashboards, and alert rules
- Caddy access logging (JSON to stdout for Loki)
- grafana.trails.cool with basic auth via Caddy
Dashboards and alerting:
- Overview: request rate, error rate, latency p50/p95/p99
- Planner: active sessions, connected clients, BRouter latency
- Infrastructure: memory, CPU, event loop lag
- Alerts: disk >80%, app down 2min, error rate >5%
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
y-websocket creates a Web Worker from a blob URL. The CSP script-src
needs blob: and an explicit worker-src directive to allow this.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Terraform:
- Hetzner CX22 server with Docker, firewall (80/443/22)
- SSH key and output for server IP
Docker Compose:
- Caddy reverse proxy (auto HTTPS)
- Journal and Planner app containers
- BRouter routing engine container
- PostgreSQL + PostGIS
- Garage S3 storage
BRouter:
- Dockerfile based on eclipse-temurin:11-jre
- Segment download script for Germany (4 tiles, ~750MB)
CD Pipeline:
- Build & push Docker images to ghcr.io on main push
- Deploy step commented out (enable when server provisioned)
Scripts:
- PostgreSQL daily backup with 14-day retention
- Dockerfiles for both apps (multi-stage builds)
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
