SystemMonitoring

A FastAPI-based system monitoring platform that integrates Prometheus and Grafana to collect, visualize, and analyze metrics, enhanced with AI-driven recommendation logic using machine learning.

This project demonstrates a real-world monitoring stack commonly used in production systems.

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Tech Stack

• FastAPI – Backend API and metrics exposure
• Prometheus – Metrics scraping and storage
• Grafana – Metrics visualization and dashboards
• Docker & Docker Compose – Containerized deployment
• scikit-learn & pandas – AI-based recommendation logic

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Architecture Overview

FastAPI Application
└── /metrics endpoint
└── Prometheus scrapes metrics
└── Grafana visualizes metrics

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Prerequisites

Make sure the following are installed on your system:

• Docker
• Docker Compose (v2)

Check installation:

docker --version
docker compose version

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Installation

Clone the repository:

git clone https://github.com/AryanSharma9917/SystemMonitoring.git
cd SystemMonitoring

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Running the Project

Build and Start the Stack

docker compose up --build -d

Stop the Stack

docker compose down

View Logs

docker compose logs --tail 50

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Service Endpoints

| Service | URL | | ------------ | -------------------------------------------------------------- | | FastAPI API | http://localhost:8000 | | FastAPI Docs | http://localhost:8000/docs | | Metrics | http://localhost:8000/metrics | | Prometheus | http://localhost:9090 | | Grafana | http://localhost:3000 |

Grafana Login

• Username: admin
• Password: admin

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Features

• Real-time metrics collection via Prometheus
• Interactive Grafana dashboards
• FastAPI endpoints for system monitoring
• AI-powered recommendation logic using similarity matrices
• Fully containerized setup using Docker Compose

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AI Component

The project includes a basic recommendation engine:

• User similarity matrix
• Item similarity matrix
• Built using pandas and scikit-learn

This demonstrates how ML logic can coexist with monitoring systems.

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Project Structure

SystemMonitoring/
├── assets/                 
├── provisioning/           # Grafana dashboards & datasources
├── data/                   # Sample data
├── tests/                  # Unit & integration tests
├── Dockerfile
├── docker-compose.yml
├── prometheus.yml
├── req.txt
└── apps.py

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🐳 Docker Image

Available on Docker Hub:

https://hub.docker.com/r/aryansharma04/systemmonitoring

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Screenshots

FastAPI

Grafana Dashboards

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Changelog Highlights

• Migrated to Python slim Docker image
• Added Docker Compose support
• Improved Grafana dashboards
• Added AI-based recommendation logic
• Introduced unit and integration tests

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Use Cases

• Learning system monitoring with Prometheus & Grafana
• Demonstrating containerized microservices
• Showcasing DevOps + Backend + ML integration
• Portfolio-ready DevOps project

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License

This project is open-source and available under the MIT License.

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Author

Aryan Sharma GitHub: https://github.com/AryanSharma9917