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Django in Production

You're reading from   Django in Production Expert tips, strategies, and essential frameworks for writing scalable and maintainable code in Django

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781804610480
Length 348 pages
Edition 1st Edition
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Author (1):
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Arghya Saha Arghya Saha
Author Profile Icon Arghya Saha
Arghya Saha
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Table of Contents (21) Chapters Close

Preface 1. Part 1 – Using Django and DRF to Build Modern Web Application
2. Chapter 1: Setting Up Django with DRF FREE CHAPTER 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

Integrating error monitoring tools

When we develop an application, developers will try to handle all the corner cases and write as much error-free code as possible. But, somehow, a few corner cases will be missed. A few errors will always slip by, and users will see occasional errors while using the service. These application errors are occasional, but it’s important to address them to have a stable application. While working on a local development setup, these errors can be easily detected in the terminal. But when we move to production, it becomes difficult to detect these errors. A lot of beginners still use logs to detect raised exceptions. Error monitoring tools are lifelines to detect any production exceptions raised.

Tools such as Sentry, Rollbar, BugSnag, and so on are error/exception monitoring tools that help us track and fix exceptions raised in production. In this chapter, we shall use Rollbar (https://rollbar.com/) and integrate it into our Django project.

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