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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 how to tackle the problem of long-running tasks using Celery. In web development, having a long-running task is quite common, such as when we have to generate a monthly report, send an email to a batch of users, process data from an uploaded file, and so on. Celery is very handy to address such use cases. Similarly, there are plenty of use cases where you need task-scheduling functionality. For example, if we wanted to send a weekly consolidated report to users every week, send reminder emails to end users, and so on, celery beat would be our go-to tool to build such features.

In Chapter 9, we will learn how to write unit and integration tests with Django. Writing unit tests is one of the most important yet frequently overlooked phase in the development cycle. We will learn all the best practices to follow while writing unit and integration tests.

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