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>
8 lines
223 B
TypeScript
8 lines
223 B
TypeScript
import { registry } from "~/lib/metrics.server";
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export async function loader() {
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const metrics = await registry.metrics();
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return new Response(metrics, {
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headers: { "Content-Type": registry.contentType },
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});
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}
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