Automated monitoring and analysis of network traffic in Linux using scripts and system tools

Abstract

Effective network monitoring is vital for ensuring optimal system performance, reducing latency, diagnosing bottlenecks, and detecting anomalous behavior that could indicate security threats. With its flexibility, reliability, and ubiquity, Linux serves as an ideal platform for deploying robust monitoring solutions tailored to diverse system needs. This project focuses on automating the collection and analysis of network traffic data in Linux environments. By leveraging only built-in system tools and utilities, the solution provides a cost-effective, lightweight, and easily deployable monitoring framework. The integration of real-time data logging and graphical visualization ensures actionable insights for system administrators and IT professionals, reducing manual intervention and enabling proactive management. In addition to leveraging Linux tools, the development process of this project was significantly accelerated through the use of ChatGPT.