NetBot - Self-Diagnostic Network Automation

A sophisticated network automation and monitoring system that simulates and manages BGP-based networks using Docker containers, with advanced fault injection and monitoring capabilities.

Features

• BGP Network Simulation using FRRouting (FRR)
• Automated Fault Injection
• Real-time Network Monitoring
• Anomaly Detection
• Automated Remediation
• Prometheus & Grafana Integration

Architecture

The project consists of the following components:

1. Network Simulation

   • Docker containers running FRRouting
   • BGP peering between nodes
   • Configurable network topology

2. Fault Injection System

   • Link loss simulation
   • Interface down scenarios
   • CPU stress testing

3. Monitoring Agent

   • BGP route monitoring
   • Latency tracking
   • Peer availability checks
   • Anomaly detection

4. Automation Framework

   • Ansible playbooks for remediation
   • Container management
   • Network interface control
   • BGP route manipulation

5. Metrics & Visualization

   • Prometheus metrics collection
   • Grafana dashboards
   • Real-time monitoring
   • Historical data analysis

Prerequisites

• Docker
• Python 3.8+
• Ansible
• Prometheus
• Grafana

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/netbot.git
   cd netbot

2. Install Python dependencies:

   pip install -r requirements.txt

3. Start the network simulation:

   docker-compose up -d

4. Start the monitoring agent:

   python src/monitoring/agent.py

5. Access Grafana dashboard at http://localhost:3000

Project Structure

netbot/
├── docker/
│   ├── Dockerfile
│   └── frr/
│       └── configs/
├── src/
│   ├── monitoring/
│   │   ├── agent.py
│   │   └── metrics.py
│   ├── fault_injection/
│   │   └── injector.py
│   └── utils/
│       └── network.py
├── ansible/
│   └── playbooks/
├── prometheus/
│   └── prometheus.yml
├── grafana/
│   └── dashboards/
├── docker-compose.yml
├── requirements.txt
└── README.md

Usage

1. Starting the Network

   docker-compose up -d

2. Injecting Faults

   python src/fault_injection/injector.py --type link_loss --node r1 --duration 60

3. Monitoring

   python src/monitoring/agent.py

4. Viewing Metrics

   • Access Grafana at http://localhost:3000
   • Default credentials: admin/admin

Contributing

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.