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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

Understanding the basics of DRF Serializers

In the previous chapter, we learned how to use databases using Django models and ORM. However, in the world of web applications, the interaction between the client and server happens using REST APIs, with the JSON request-response format. Let us see how a client-server API interaction looks.

A client application uses the JSON data format to send information to the server via a ReST API. A Django server running on DRF uses, by default, JSONParser to parse the data from the JSON format to the Python native format. Then, data in the Python native format would be passed to a serializer to save the data in the Database, using the Django ORM. Similarly, when data is retrieved from the database using the Django ORM, it will be passed through a Serializer to deserialize the data into the Python native format. The Python native format data would be passed through JSONRenderer to render the data into the JSON format, finally sending a response to...

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