poweredge-fan 1.0.4

Last updated:

0 purchases

poweredge-fan 1.0.4 Image
poweredge-fan 1.0.4 Images
Add to Cart

Description:

poweredgefan 1.0.4

PyPowerEdgeFan
PyPowerEdgeFan is a Python-based PID fan controller for Dell PowerEdge servers.
With PyPowerEdgeFan, the fan speed with be adjusted dynamically based on the CPU temperature.
This allows the fan to run at a lower speed when the CPU is cool, reducing noise and power consumption.
Another added bonus comparing to a static fan curve is that the fan speed is that it needs less tuning and will reduce the annoying oscillation between two fan speeds.
Disclaimer
This project is not affiliated with Dell in any way.
I have only tested this on a Dell PowerEdge R730xd. It may or may not work on other models.
Adjusting fan speed is potentially dangerous. If the fan speed is too low, the server may overheat and cause damage to the hardware or even objects around the server.
Use at your own risk.
I highly recommend test the cli tool in shell mode first to make sure the script is working for your scenario before running it in daemon mode.
Installation
Install the package using pip:
pip install poweredge_fan

Set up sensors on Ubuntu
To make sure the required sensors package is installed on Ubuntu, run the following command:
sudo apt-get install lm-sensors

After installing lm-sensors, you can run sensors-detect to configure sensors on your system. It will ask you a series of questions to identify the correct sensors for your hardware:
sudo sensors-detect

Follow the prompts and answer the questions accordingly. You may need to reboot your system after the process is complete to ensure proper functionality.
To make sure your sensors are working properly, run the following command:
sensors

You should see output similar to the following:
coretemp-isa-0000
Adapter: ISA adapter
Package id 0: +58.0°C (high = +77.0°C, crit = +87.0°C)
Core 0: +49.0°C (high = +77.0°C, crit = +87.0°C)
Core 1: +47.0°C (high = +77.0°C, crit = +87.0°C)
Core 2: +48.0°C (high = +77.0°C, crit = +87.0°C)
Core 3: +48.0°C (high = +77.0°C, crit = +87.0°C)
Core 4: +49.0°C (high = +77.0°C, crit = +87.0°C)
Core 5: +49.0°C (high = +77.0°C, crit = +87.0°C)
Core 6: +48.0°C (high = +77.0°C, crit = +87.0°C)
Core 7: +47.0°C (high = +77.0°C, crit = +87.0°C)

coretemp-isa-0001
Adapter: ISA adapter
Package id 1: +66.0°C (high = +77.0°C, crit = +87.0°C)
Core 0: +59.0°C (high = +77.0°C, crit = +87.0°C)
Core 1: +57.0°C (high = +77.0°C, crit = +87.0°C)
Core 2: +57.0°C (high = +77.0°C, crit = +87.0°C)
Core 3: +57.0°C (high = +77.0°C, crit = +87.0°C)
Core 4: +54.0°C (high = +77.0°C, crit = +87.0°C)
Core 5: +56.0°C (high = +77.0°C, crit = +87.0°C)
Core 6: +54.0°C (high = +77.0°C, crit = +87.0°C)
Core 7: +55.0°C (high = +77.0°C, crit = +87.0°C)

PyPowerEdgeFan uses the average of all the core temperatures to determine the fan speed.
Usage
To use PyPowerEdgeFan, run the following command:
poweredge_fan -H <host> -U <username> -P <password>

Replace <host>, <username>, and <password> with the appropriate values for your iDRAC.
Arguments

-H, --host: IP address of the iDRAC (required)
-U, --username: Username for the iDRAC (required)
-P, --password: Password for the iDRAC (required)

Running as a systemd service
To run PyPowerEdgeFan as a systemd service, follow these steps:


Create a file called poweredge_fan.service with the Systemd unit template provided in this repository.


Replace <host>, <username>, and <password> in the poweredge_fan.service file with the appropriate values for your iDRAC.


Copy the poweredge_fan.service file to /etc/systemd/system/:
sudo cp poweredge_fan.service /etc/systemd/system/



Reload the systemd configuration:
sudo systemctl daemon-reload



Enable the service to start at boot:
sudo systemctl enable poweredge_fan



Start the service:
sudo systemctl start poweredge_fan



Check the status of the service:
sudo systemctl status poweredge_fan



Contributing
Contributions to PyPowerEdgeFan are welcome! To contribute, please open an issue or submit a pull request through the GitHub repository.

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

Customer Reviews

There are no reviews.