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>
18 lines
369 B
YAML
18 lines
369 B
YAML
global:
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scrape_interval: 15s
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evaluation_interval: 15s
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scrape_configs:
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- job_name: "journal"
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metrics_path: "/api/metrics"
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static_configs:
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- targets: ["journal:3000"]
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- job_name: "planner"
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metrics_path: "/metrics"
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static_configs:
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- targets: ["planner:3001"]
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- job_name: "caddy"
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static_configs:
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- targets: ["caddy:2019"]
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