cgroup_analyzer

A tool to analyze Linux cgroups v2. This project provides a suite of scripts for monitoring, visualizing, and applying limits to cgroups v2 on Linux systems. It includes tools for:

• Monitoring: Capturing cgroup metrics such as CPU usage, memory consumption, and process counts over time.
• Visualization: Generating plots and dashboards to understand resource utilization.
• Limiting: Applying and managing resource limits for cgroups.

Key Components

• monitor_stats/: Contains scripts for monitoring cgroup statistics and outputting them to CSV files.
• viz/: Includes Python scripts for visualizing the data collected by the monitoring scripts, generating plots for CPU, memory, PIDs, and combined dashboards.
• apply_limits/: Provides shell scripts for applying resource limits to cgroups, such as CPU, memory, and process count limits.

Usage

1. Monitoring:

   • Use the scripts in monitor_stats/ to collect cgroup statistics.
   • Example: ./monitor_stats/monitor_cgroup_stats.sh -c mycpu -i 0.1 -d 60 -o mycpu_stats.csv

2. Visualization:

   • Use the scripts in viz/ to generate visualizations from the collected CSV data.
   • Example: ./viz/visualize_cpu_metrics.py --csv mycpu_stats.csv

3. Applying Limits:

   • Use the scripts in apply_limits/ to apply resource limits to cgroups.
   • Example: ./apply_limits/yocto_cpu_limits.sh

Dependencies

• Python 3
• Pandas
• Matplotlib
• Seaborn
• Plotly (for interactive dashboards)
• bc
• awk

Install the required Python packages using:

pip install -r requirements.txt

License

This project is licensed under the MIT License.