Code-MCP

# Infrastructure Monitoring Setup This template outlines a standard monitoring stack using Prometheus and Grafana, suitable for Kubernetes or Docker Compose environments. ## 1. Prometheus Configuration (`prometheus.yml`) ```yaml global: scrape_interval: 15s evaluation_interval: 15s scrape_configs: - job_name: "prometheus" static_configs: - targets: ["localhost:9090"] - job_name: "node_exporter" static_configs: - targets: ["node-exporter:9100"] - job_name: "app_backend" scrape_interval: 5s static_configs: - targets: ["backend:3000"] metrics_path: "/metrics" ``` ## 2. Docker Compose Setup ```yaml version: "3.8" services: prometheus: image: prom/prometheus:latest volumes: - ./prometheus.yml:/etc/prometheus/prometheus.yml ports: - "9090:9090" grafana: image: grafana/grafana:latest environment: - GF_SECURITY_ADMIN_PASSWORD=secret ports: - "3000:3000" depends_on: - prometheus ``` ## 3. Application Instrumentation (Node.js with `prom-client`) ```typescript import express from "express"; import client from "prom-client"; const app = express(); const collectDefaultMetrics = client.collectDefaultMetrics; collectDefaultMetrics(); const httpRequestDurationMicroseconds = new client.Histogram({ name: "http_request_duration_seconds", help: "Duration of HTTP requests in seconds", labelNames: ["method", "route", "code"], buckets: [0.1, 0.5, 1, 1.5, 5, 10], }); app.use((req, res, next) => { const end = httpRequestDurationMicroseconds.startTimer(); res.on("finish", () => { end({ method: req.method, route: req.route?.path || req.path, code: res.statusCode, }); }); next(); }); app.get("/metrics", async (req, res) => { res.set("Content-Type", client.register.contentType); res.end(await client.register.metrics()); }); ```