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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

Exploring Django ORM, Models, and Migrations

In Chapter 1, we saw how to create a Django project and integrate Views into the project. All the responses in the Views were static and we didn’t see how to implement any code to get dynamic responses using databases.

In this chapter, we shall see how to integrate a PostgreSQL database into our Django project and the support Django provides out of the box to work with models and databases. If you have worked with relational database management systems (RDBMSs) before, you will know how painful it is to perform migrations whenever the schema is updated. However, Django provides migration support out of the box, which abstracts all the intricacies under two management commands.

After that, we’ll learn a few best practices while working with Django models and how to check for performance optimizations with large database tables. Finally, we’ll check out the newest feature that was introduced in Django 4.1: Async...

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