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SystemPerformanceAnalyzer

A sophisticated Java desktop application for real-time system performance monitoring, in-depth analysis of resource usage, and automated report generation. Built to help developers and system admins identify bottlenecks, perform root cause investigations, and optimize system efficiency.

Features

  • Real-time Monitoring: Tracks CPU and memory usage with periodic updates using multi-threading.
  • Data Logging: Securely logs performance metrics to files for historical review.
  • Advanced Analysis: Detects anomalies, simulates root cause (e.g., high load scenarios), and suggests improvements based on data patterns.
  • Report Generation: Creates detailed, formatted reports on performance, issues, and recommendations.
  • Intuitive UI/UX: Swing-based interface with tabs, buttons, text areas, and dynamic updates for seamless user interaction.
  • Error Handling: Robust validation to ensure 100% uptime and no crashes.
  • Extensibility: Modular design for easy addition of new metrics or integrations.

This tool is ideal for studying system flows, investigating problems, and ensuring high availability—perfect for software engineering workflows.

Technologies Used

  • Core Java (SE 8+)
  • Swing for GUI
  • Multi-threading (java.util.Timer)
  • System Management APIs (com.sun.management for metrics)
  • File I/O for persistence

Project Structure

Prerequisites

  • Java Development Kit (JDK) 8 or higher installed.
  • No additional libraries needed.

Setup and Run

  1. Create a bin/ folder in the project root for compiled classes.
  2. Compile the source code:
  • javac -d bin src/com/performance/analyzer/.java src/com/performance/analyzer/model/.java src/com/performance/analyzer/ui/.java src/com/performance/analyzer/util/.java
  1. Run the application:
  • java -cp bin com.performance.analyzer.Main
  1. The app will create a logs/ folder if not present and start logging to performance.log.

Usage

  • Monitor Tab: Start/Stop monitoring to view live CPU/memory stats.
  • Analysis Tab: Load logs, run analysis to see issues and root causes.
  • Report Tab: Generate and view reports.

Contribution

Fork the repo, make improvements (e.g., add network monitoring), and submit a pull request. Ensure code follows clean architecture principles.

License

MIT License