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Django in Production

You're reading from  Django in Production

Product type Book
Published in Apr 2024
Publisher Packt
ISBN-13 9781804610480
Pages 348 pages
Edition 1st Edition
Languages
Author (1):
Arghya Saha Arghya Saha
Profile icon Arghya Saha

Table of Contents (21) Chapters

Preface 1. Part 1 – Using Django and DRF to Build Modern Web Application
2. Chapter 1: Setting Up Django with DRF 3. Chapter 2: Exploring Django ORM, Models, and Migrations 4. Chapter 3: Serializing Data with DRF 5. Chapter 4: Exploring Django Admin and Management Commands 6. Chapter 5: Mastering Django Authentication and Authorization 7. Part 2 – Using the Advanced Concepts of Django
8. Chapter 6: Caching, Logging, and Throttling 9. Chapter 7: Using Pagination, Django Signals, and Custom Middleware 10. Chapter 8: Using Celery with Django 11. Chapter 9: Writing Tests in Django 12. Chapter 10: Exploring Conventions in Django 13. Part 3 – Dockerizing and Setting Up a CI Pipeline for Django Application
14. Chapter 11: Dockerizing Django Applications 15. Chapter 12: Working with Git and CI Pipelines Using Django 16. Part 4 – Deploying and Monitoring Django Applications in Production
17. Chapter 13: Deploying Django in AWS 18. Chapter 14: Monitoring Django Application 19. Index 20. Other Books You May Enjoy

Using Celery with Django

Let us try to understand how Celery works under the hood by taking a small real-world example. Imagine you want to perform 10 different tasks and you have 2 people to work on them. Each person can work on only one particular task at a time, and new tasks might arrive at any given time. To solve this problem, the workers would create a list, and every time a new task comes in, they would add the task to that list. Each time a person finishes their task, you would strike off the task from the list and then assign them the next task from the top. If you add more people to work for you, then you can finish your tasks faster. This is what Celery does.

In Celery, there is a task queue that keeps track of all the tasks coming in – task queues are saved using RabbitMQ or Redis. There are Celery workers that pick tasks from the queue and work on them. Django generates these tasks and pushes them to the task queue, from where Celery picks tasks and executes...

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