In this tutorial, we build a fullstack background processing system using Django, React, Celery, and Redis.
Instead of processing a large CSV file inside a Django view (which can block your server), we use Celery + Redis to handle the heavy work in the background, while the React frontend stays responsive.
You’ll learn:
How to integrate Celery into a Django project
How Redis works as a message broker
How to trigger background tasks using .delay()
How to return and track a task_id
How to poll task status from a React frontend
How to display created students in a table
This is real production-style architecture, not just CRUD.
Backend Source Code:
https://github.com/CodeWithClinton/django_celery_backend
Frontend Source Code:
https://github.com/CodeWithClinton/react_celery
⏱️ Timestamps
00:00:00 - Introduction
00:00:36 - Backend setup
00:13:51 - Testing the endpoints on Postman
00:20:42 - The React frontend
00:27:30 - The End
If you’re serious about building scalable Django applications, understanding background tasks is essential.
