FastAPI Metrics Monitoring System

Project Overview

A FastAPI application that provides system-level and application-level metrics monitoring in Prometheus format. Tracks CPU, memory, and HTTP request metrics while storing sample data in MongoDB.

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Features

• Monitors CPU and memory usage
• Tracks HTTP requests (counts, response statuses)
• Prometheus-compatible /metrics endpoint
• MongoDB integration for storing/retrieving sample data
• Fully asynchronous and high-performance

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Endpoints

Method	Path	Description
GET	/	Root endpoint, returns a welcome message
GET	/health	Health check, returns ok
GET	/metrics	Prometheus metrics for monitoring
POST	/data	Store sample data in MongoDB
GET	/data	Retrieve all stored data from MongoDB

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Setup & Run

1. Install dependencies

pip install -r requirements.txt

2. Configure MongoDB Update app/db.py with your MongoDB URI.

3. Run the app

uvicorn app.main:app --reload

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Usage

Open in browser or via Postman/curl:

• Root: http://127.0.0.1:8000/
• Health: http://127.0.0.1:8000/health
• Metrics: http://127.0.0.1:8000/metrics
• POST /data example:

{
  "name": "Test Item",
  "value": 123
}

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Highlights

• Asynchronous, production-ready FastAPI app
• Prometheus-compatible metrics for monitoring
• Persistent MongoDB storage for sample data
• Easy to extend with additional metrics or endpoints

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Future Enhancements

• Request duration histograms and 95th percentile latency
• Request/response size tracking
• Additional system metrics: uptime, thread count, GC stats