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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

Paginating responses in Django and DRF

When a request is sent by the client to fetch records from the server, it is not recommended to send all the entries present in the database in one go. This is when the concept of pagination comes into the picture. For example, if we have 1,000 blogs saved, sending all the blogs at once in response to the client’s request would increase the page load time and add performance bottlenecks to the system. To solve these problems, we will introduce the concept of pagination.

Understanding pagination

Let us take an example to understand the concept of pagination. A client requests to get a list of blogs, and we have 1,000+ blogs published on our website. We would send a few blogs in small batches, say 10 blogs every time. This is known as pagination. The user would interact with the UI and request the next batch of blogs. Different types of pagination can be implemented by the server for the API:

  • Cursor API pagination
  • Keyset...

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