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

<div dir="auto" data-snippet-clipboard-copy-content="# Check Python version (requires 3.9+) python3 --version

# Clone repository git clone cd linux_diagnostics

# Install dependencies pip3 install -r requirements.txt

# Run the application…