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Fabian Anguiano
Fabian Anguiano

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Troubleshooting and Increasing Gunicorn Timeout in a Django Application

Troubleshooting and Increasing Gunicorn Timeout in a Django Application

Introduction

In this article, we will go through the process of troubleshooting and resolving a Gunicorn worker timeout issue in a Django application. We will cover how to locate the Gunicorn configuration, increase the timeout value, and apply the changes to the running service.

Problem

A Django application was running on an Ubuntu server using Gunicorn. The application was working fine locally, but on the server, it experienced a worker timeout issue.

Solution

To resolve the worker timeout issue, we increased the Gunicorn timeout value. Here's a step-by-step guide on how we did it:

  1. Locate the Gunicorn configuration file:
    We searched for the Gunicorn configuration file using the find command. In this case, the configuration was contained within the systemd service file itself, rather than in a separate configuration file.

  2. Update the timeout value in the Gunicorn configuration:
    We modified the ExecStart line in the service file to include the --timeout option and set the desired timeout value (e.g., 120 seconds).

Example configuration:

[Service]
User=dev
WorkingDirectory=/home/dev/django_app

ExecStart=/home/dev/prod/django_app/bin/gunicorn
--access-logfile -
--workers 3
--timeout 120
--bind unix:/run/gunicorn.sock
django_project.wsgi:application
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  1. Reload the systemd configuration and restart the Gunicorn service: After updating the service file, we reloaded the systemd configuration and restarted the Gunicorn service with the following commands:
sudo systemctl daemon-reload
sudo systemctl restart gunicorn
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Conclusion

By increasing the Gunicorn timeout value, we successfully resolved the worker timeout issue in the Django application. This process can be applied to other similar situations where a Gunicorn worker timeout is causing problems in a Django application. Remember to adjust the timeout value according to your requirements and optimize your application to prevent such issues in the future.

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