49aadd04a9
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>
15 lines
255 B
YAML
15 lines
255 B
YAML
apiVersion: 1
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datasources:
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- name: Prometheus
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type: prometheus
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access: proxy
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url: http://prometheus:9090
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isDefault: true
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editable: false
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- name: Loki
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type: loki
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access: proxy
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url: http://loki:3100
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editable: false
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