Server Monitoring Dashboard

A web-based Server Monitoring Dashboard backend built using Django and Django REST Framework. It provides APIs to monitor server statistics like CPU, memory, disk usage, and network-level metrics.

A lightweight Django-based web application for monitoring server health metrics with SQLite database.

Live Demo

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Key Features

✅ Real-time alert tracking (Critical/Medium/Low)
✅ Interactive resource usage charts (CPU, RAM, Disk)
✅ Network traffic visualization
✅ Server inventory management
✅ Mock data generation system

Technology Stack

• Backend: Django 5.2, Django REST Framework
• Database: SQLite (no PostgreSQL required)
• Frontend: Django Templates + Bootstrap
• Deployment: Render (Free Tier)
• Others: Gunicorn, Whitenoise (for static files)

Project Structure

server_monitoring_dashboard/
├── backend/              # Django project settings
│   ├── settings.py
│   ├── urls.py
│   └── wsgi.py
├── monitor/               # Django app for monitoring
│   ├── models.py
│   ├── views.py
│   ├── urls.py
│   ├── serializers.py
│   ├── management/
│   │   └── commands/
│   │       └── generate_mock_data.py  # Custom management command
|   ├── templates/            
│   └── admin.py
├── staticfiles/           # Collected static files
├── manage.py              # Django management script
├── requirements.txt       # Python dependencies
└── README.md              # Project documentation

📁 Key Files

• monitor/models.py Defines the Server and Metrics models used to store server and performance data.
• generate_mock_data.py Custom Django management command to generate mock server and metric data for testing purposes.
• dashboard.html Main HTML template for the dashboard, including visual charts to display metrics.
• settings.py Django settings file, configured with Whitenoise for serving static files.

Setup Instructions

1. Clone the repository

   git clone https://github.com/PrathameshPC77/server_monitoring_dashboard.git
   cd server_monitoring_dashboard
   

2. Create virtual environment

   python -m venv venv
   source venv/bin/activate  # Windows: venv\Scripts\activate
   

3. Install Dependencies

   pip install -r requirements.txt
   

4. Apply Migrations

   python manage.py migrate
   

5. Generate Mock Server Monitoring Data

   python manage.py generate_mock_data # This command will seed the database with random server stats for demo/testing purposes.
   

6. Run Development Server

   python manage.py runserver
   

Build & Deployment (Render.com)

• Push code to GitHub
• Create new Web Service on Render
• Configure:
  • Build Command: ./build.sh
  • Start Command: gunicorn backend.wsgi:application

1. Build Command:

    pip install -r requirements.txt && python manage.py collectstatic --noinput && python manage.py migrate && python manage.py generate_mock_data
   

2. Start Command:

    gunicorn backend.wsgi
   

3. Important:

• The generate_mock_data management command is run during the build phase to populate mock server data.
• Static files are served using Whitenoise.

Customization Guide

• Modify Alert Thresholds Edit monitor/models.py:

  class ServerMetrics(models.Model):
     ALERT_CHOICES = [
         ('critical', 'CPU > 90%'),  # Change thresholds here
         ('medium', 'CPU > 80%'),
         ('low', 'CPU > 70%')
  ]
  

• Add More Metrics
  1. Extend ServerMetrics model
  2. Update generate_mock_data.py
  3. Add new charts to dashboard.html

Features

• Monitor:

  • CPU Usage
  • RAM Usage
  • Disk Usage
  • Network Traffic

• Seed random monitoring data (for testing/demo)

• RESTful API architecture

Future Improvements

• Real-time updates with Django Channels and WebSockets
• User authentication and dashboards
• Alerts and Notifications (Email, Slack)
• Admin Panel customization
• Production-grade deployment with PostgreSQL & Redis