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Django in Production

Django in Production

By : Arghya Saha
4.7 (9)
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Django in Production

Django in Production

4.7 (9)
By: Arghya Saha

Overview of this book

You may have got your first Django developer job after a six-week bootcamp or online course, and that’s great, but what’s next? In small companies, mentorship can be hard to come by and gaining the traits of a senior developer without that can take a long time. This is precisely where Django in Production comes into play. This book will first delve into the true meaning of "good practice" and help you understand the rationale behind industry professionals building websites in specific ways to develop a solid foundation for your Django projects. Next, you will uncover hidden Django secrets through hands-on exploration, leveraging the power of Docker and version control to your advantage. You will gain insights into mastering Git hooks for efficient code maintenance, establishing a robust CI pipeline, and harnessing the capabilities of AWS Beanstalk. These tools will empower you to develop highly scalable products—an essential skill set for aspiring developers transitioning from junior to senior roles. Later, you will understand the significance of monitoring and be introduced to industry-standard tools utilized by professionals for effective monitoring practices. By the end of this book, you will have set yourself apart from the crowd, equipped with the knowledge and expertise to thrive as a seasoned Django developer.
Table of Contents (21 chapters)
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1
Part 1 – Using Django and DRF to Build Modern Web Application
7
Part 2 – Using the Advanced Concepts of Django
13
Part 3 – Dockerizing and Setting Up a CI Pipeline for Django Application
16
Part 4 – Deploying and Monitoring Django Applications in Production

Summary

In this chapter, we learned a lot of concepts regarding how to work with models and databases. First, we learned how to configure our Django project with ElephantSQL, which enabled us to work with PostgreSQL on our local system without the hassle of setting up a PostgreSQL server. Then, we learned about the basic concepts of ORM and how we can use normalization in Django models, along with the model’s inheritance concept.

Migration is a crucial part of any application, and we saw how Django eases the pain of database schema migration. We learned the tricks of using Django migration in our regular development cycle and the best practices we should follow while working with it. Django ORM is one of the pioneers of how frameworks should handle database interaction. After, we covered the best practices that we can follow with Django ORM before looking at a couple of performance optimization tricks that developers can use to build a scalable application.

Django 4.1...

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