Resource Monitor

This project monitors system resource utilization including CPU, memory, disk, and network I/O. It also logs the resource usage data to a file.

Files

1. resource_monitor.py: This Python script contains functions to get CPU usage, memory usage, disk usage, and network I/O statistics. It also includes a loop to continuously monitor the system resources and write the data to a log file.
2. Dockerfile: This file defines the instructions for building a Docker image that runs the resource_monitor.py script.
3. requirements.txt: This file lists the Python libraries required by the project.
4. resource_monitor_logs.txt: This file stores the logged system resource usage data.
5. docker-compose.yml: This file defines the configuration for running the resource monitor application in a Docker container using Docker Compose.

How it works

1. The resource_monitor.py script imports the necessary libraries (psutil, datetime, time).
2. It defines functions to get CPU usage, memory usage, disk usage, and network I/O statistics.
3. The script continuously monitors the system resources in a loop.
4. Inside the loop, it pauses for a specified time interval (e.g., 5 seconds).
5. It then gets the current date and time and prints it to the console and log file.
6. It calls the functions to get CPU usage, memory usage, disk usage, and network I/O statistics and prints the results to the console and log file.
7. The script writes new lines to the console and log file for better readability.
8. The Dockerfile builds a Python image based on python:3.9.21-slim-bullseye and copies the application files and requirements.txt into the container.
9. It installs the required Python libraries using pip install -r requirements.txt.
10. Finally, it runs the resource_monitor.py script using the CMD instruction.
11. The requirements.txt file specifies the required Python library, which is psutil.
12. The resource_monitor_logs.txt file stores the logged system resource usage data in a human-readable format.
13. The docker-compose.yml file defines a service named resource-monitor that builds the Docker image using the Dockerfile and runs the container.
14. It also mounts the Docker socket volume to the container (/var/run/docker.sock:/var/run/docker.sock) to allow the container to interact with the Docker daemon of the host machine.