Prometheus, Grafana, and Node.js Server

This project demonstrates a simple Node.js Express server integrated with Prometheus for metrics collection and Grafana for visualization.

🚀 Features

• Express Server: Simple API with standard and slow endpoints.
• Prometheus Integration: Uses prom-client to expose metrics at /metrics.
• Dockerized Monitoring: Prometheus and Grafana are set up via Docker Compose.

🛠️ Prerequisites

• Node.js (v18+)
• Docker and Docker Compose

🏃 Getting Started

1. Start the Node.js Server

Install dependencies and start the server:

npm install
npm run dev

The server will be running at http://localhost:3002.

2. Start Monitoring (Prometheus & Grafana)

To start Prometheus and Grafana, use the following command:

docker-compose up -d

Docker Command specifically for Grafana

If you want to run Grafana separately using Docker:

docker run -d --name=grafana -p 3000:3000 grafana/grafana:latest

📊 Endpoints

• GET /: Basic "Server is up and running" response.
• GET /slow: A mock slow endpoint (1-3s delay) with a 20% error rate for testing latency and error metrics.
• GET /metrics: Prometheus metrics endpoint.

📈 Monitoring Dashboards

• Prometheus: http://localhost:9090
• Grafana: http://localhost:3000
  • Login: admin / admin
  • Data Source: Add Prometheus with URL http://prometheus:9090.

⚙️ Configuration

• index.js: Main server logic and metrics definitions.
• prometheus-config.yml: Prometheus scrape configuration (targets the Node.js server).
• docker-compose.yml: Docker services for Prometheus and Grafana.