Raspberry Pi Resource Monitoring: Keeping Your System in Check




Raspberry Pi has gained immense popularity as a versatile single-board computer that can Power a wide range of projects, from Home Automation to Media centers. However, to ensure the smooth operation of your Raspberry Pi-based projects, it’s crucial to keep an eye on its vital statistics. In this comprehensive guide, we will explore how to monitor various resources on your Raspberry Pi, including temperature, voltage, RAM usage, processes, and even create a simple program to display all these metrics at once.

Raspberry pi

Part 1: Introduction to Resource Monitoring

Why Monitor Raspberry Pi Resources?

Raspberry Pi, like any other computer, can run into performance issues or overheating problems. Monitoring resources allows you to:

  • Prevent Overheating: Raspberry Pi can get hot during intensive tasks. Monitoring temperature helps you avoid overheating, which can lead to performance throttling or even Hardware damage.
  • Optimize Performance: By tracking resource usage, you can identify processes that consume excessive CPU or RAM, allowing you to optimize your projects for better performance.
  • Ensure Stability: Monitoring voltage levels can help you ensure the stability of your Raspberry Pi, preventing sudden shutdowns or data corruption.
  • Troubleshoot Issues: When something goes wrong, having access to resource data makes troubleshooting easier. You can pinpoint the cause of problems and take appropriate action.

Part 2: Monitoring Temperature

Why Monitor Raspberry Pi Temperature?

Raspberry Pi, like any electronic device, generates heat during operation. Excessive heat can lead to performance issues, thermal throttling, or even hardware damage. Therefore, monitoring the temperature of your Raspberry Pi is essential for maintaining its health and ensuring optimal performance.

Raspberry Pi Thermal Readings

Method 1: Using Command Line Tools

One of the simplest ways to check the temperature of your Raspberry Pi is by using command line tools. Open a terminal and enter the following command:

vcgencmd measure_temp

This command will display the current CPU temperature in degrees Celsius. By running it regularly, you can keep an eye on any temperature spikes.

Method 2: Installing Temperature Monitoring Software

For more comprehensive temperature monitoring, you can install third-party software. Programs like lm-Sensors and psensor provide real-time temperature readings and historical data graphs. These tools can help you identify temperature trends and potential overheating issues.

Method 3: Monitoring Temperature with Python

If you prefer a programmatic approach, you can use Python to monitor temperature. Here’s a simple Python script that reads and prints the temperature:

import os

def get_cpu_temperature():
    res = os.popen("vcgencmd measure_temp").readline()
    return float(res.replace("temp=","").replace("'C\n",""))

if __name__ == "__main__":
    temp = get_cpu_temperature()
    print(f"CPU Temperature: {temp}°C")

You can run this script periodically to log temperature data over time.

Linking to Relevant Blogs

To complement the information provided here, you can find more in-depth articles on related topics on CircuitMonster.co.in’s blog:

Part 3: Monitoring Voltage Levels for Raspberry Pi Stability

Why Monitor Raspberry Pi Voltage Levels?

Voltage stability is essential for the proper functioning of your Raspberry Pi. Fluctuations in voltage can lead to system instability, unexpected shutdowns, or even data corruption. By monitoring voltage levels, you can ensure the Reliability and longevity of your Raspberry Pi projects.

Power Meter using Raspberry Pi

Method 1: Command Line Voltage Monitoring

Raspberry Pi provides a straightforward method to check voltage levels using the following command:

vcgencmd measure_volts core

This command displays the core voltage of your Raspberry Pi. It’s essential to ensure that the voltage remains within the recommended range, typically around 1.2 volts for most Raspberry Pi models.

Method 2: GPIO Voltage Monitoring

You can also monitor voltage levels using the GPIO (General Purpose Input/OUTPUT) pins of your Raspberry Pi. By connecting a voltage sensor to the GPIO Pins, you can read voltage values programmatically. This method offers more Flexibility and can be integrated into your projects for real-time monitoring.

Linking to Relevant Blogs

To enhance your understanding of voltage-related topics, you can explore the following articles from CircuitMonster.co.in’s blog:

Part 4: Monitoring RAM Usage, Processes, and Creating a Simple Monitoring Program

Complete Usage Report

Monitoring RAM Usage

Monitoring RAM (Random Access Memory) usage is crucial to ensure your Raspberry Pi has enough memory to run its tasks efficiently. To check RAM usage, you can use the following command:

free -h

This command provides an overview of the total, used, and free RAM on your Raspberry Pi. Keeping an eye on this data can help you detect memory-intensive processes.

Monitoring Running Processes

To monitor the running processes on your Raspberry Pi, you can use the top command. It provides real-time information about processes, including CPU and memory usage. Run the following command:


The top command displays a list of processes sorted by various criteria. You can identify resource-hungry processes and decide whether they need optimization or termination.

Creating a Simple Monitoring Program

Now, let’s create a Python program that combines monitoring RAM usage and displaying a list of running processes. This program will give you a quick overview of your Raspberry Pi’s performance.

import psutil

def monitor_system():
    # Get RAM usage information
    ram = psutil.virtual_memory()

    # Get a list of running processes
    processes = [p.info for p in psutil.process_iter(attrs=['pid', 'name', 'memory_info'])]

    print("RAM Usage:")
    print(f"Total: {ram.total} bytes")
    print(f"Used: {ram.used} bytes")
    print(f"Free: {ram.free} bytes")
    print("\nRunning Processes:")
    for process in processes:
        print(f"PID: {process['pid']}, Name: {process['name']}, Memory Usage: {process['memory_info'].rss} bytes")

if __name__ == "__main__":

This Python script uses the psutil library to retrieve RAM usage and process information. When you run the script, it will display the total RAM, used RAM, free RAM, and a list of running processes along with their memory usage.

Linking to Relevant Blogs

To expand your knowledge further, you can explore the following articles from CircuitMonster.co.in’s blog:


Monitoring temperature, voltage, RAM usage, and running processes are essential aspects of ensuring the stability and performance of your Raspberry Pi projects. With the knowledge and tools provided in this comprehensive guide, you can keep your Raspberry Pi system in check and address issues promptly.

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One response to “Raspberry Pi Resource Monitoring: Keeping Your System in Check”
  1. […] check system logs for any suspicious activities or errors. You can use tools like journalctl to view […]

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