Linux System Tuning Suite

🚀 Intelligent system optimization toolkit for Linux desktop systems

This repository provides automated system tuning based on hardware detection, usage patterns, and best practices for tmpfs, overlay filesystems, and kernel parameter optimization.

🎯 Features

  • Hardware Detection: Automatically detects RAM, CPU, storage configuration
  • Usage Analysis: Identifies frequently accessed files and directories
  • Intelligent Tuning: Applies optimizations based on system characteristics
  • Modular Design: Easy to customize and extend
  • Safe Deployment: Backup and rollback capabilities
  • Multi-Distribution: Works across different Linux distributions

🏗️ Components

Core Scripts

  • tune-system.sh - Main tuning orchestrator
  • system-analyzer.sh - Hardware and usage analysis
  • optimizer.sh - Apply specific optimizations
  • monitor.sh - System monitoring and health checks

Modules

  • modules/hardware-detection.sh - RAM, CPU, storage detection
  • modules/usage-analysis.sh - File access pattern analysis
  • modules/tmpfs-optimizer.sh - tmpfs configuration
  • modules/overlay-optimizer.sh - overlay filesystem setup
  • modules/kernel-tuning.sh - kernel parameter optimization
  • modules/zram-optimizer.sh - zram/zswap configuration

Profiles

  • profiles/ - Pre-configured optimization profiles
  • configs/ - Configuration templates

🚀 Quick Start

# Clone the repository
git clone git@gitea.egonetix.de:root/linux_system_tuning.git
cd linux_system_tuning

# Run system analysis
sudo ./system-analyzer.sh

# Apply optimizations
sudo ./tune-system.sh --auto

# Monitor results
./monitor.sh

📊 Supported Optimizations

  • Memory Management: zram, tmpfs, overlay filesystems
  • Kernel Tuning: vm parameters, scheduler settings
  • Cache Optimization: Browser, IDE, package manager caches
  • I/O Optimization: Storage and network tuning
  • Desktop Responsiveness: Priority and scheduling tweaks

🔧 Configuration

The system can be configured through:

  • Interactive setup wizard
  • Configuration files
  • Command-line parameters
  • Environment variables

📈 Benchmarking

Built-in benchmarking tools to measure:

  • Boot time improvements
  • Application startup times
  • Memory utilization efficiency
  • I/O performance gains

🛡️ Safety

  • Automatic backups before changes
  • Rollback capabilities
  • Safe mode for testing
  • Validation checks

📄 License

MIT License - see LICENSE file for details

🤝 Contributing

Contributions welcome! Please read CONTRIBUTING.md for guidelines.


Making Linux systems faster, one optimization at a time

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