Linux Diagnostics Controller (AODv2) Real-time monitoring and automated diagnostics collection system for Linux environments using eBPF tools to detect anomalies and collect diagnostic data. 🎯 Key Features Real-time Anomaly Detection : Sub-second detection of latency spikes and error patterns Automated Diagnostics : Instant collection of relevant system data when anomalies occur Low Overhead Monitoring : eBPF-based tools with minimal performance impact Configurable Thresholds : Customizable detection parameters for different environments Intelligent Cleanup : Automatic disk space management 🚀 How to Run Prerequisites Linux kernel 5.15+ with eBPF support (6.8+ required for future eBPF scripts) Python 3.9+ Root access for eBPF program loading Clone and Run cd linux_diagnostics # Install dependencies pip3 install -r requirements.txt # Run the application sudo python3 src/Controller.py # With debug logging sudo AOD_LOG_LEVEL=DEBUG python3 src/Controller.py # With minimal overhead sudo python3 -O…