Async Support in Django(Part 1)

Madhav Kothari
2 min readJul 19, 2023

Before diving into stuff it’s essential to understand the concept of asynchronous programming and why it is becoming increasingly important in modern web applications.

Traditional synchronous programming follows a sequential flow of execution, where one operation is completed before moving on to the next. This approach can lead to inefficiencies, especially in web applications where certain tasks, such as waiting for external resources like databases or APIs, can cause delays.

Asynchronous programming, on the other hand, allows multiple tasks to be executed concurrently, without waiting for each operation to finish before moving to the next one. It enables non-blocking I/O, which means that while one task is waiting for an I/O operation to complete (e.g., reading from a file or making an HTTP request), the program can switch to other tasks instead of idling.

Now let's understand how WSGI (Web Server Gateway Interface) works

WSGI is a synchronous interface. It follows a traditional synchronous programming model, where each request is handled sequentially, and the server waits for the response from the application before moving on to the next request. During I/O-bound operations, the server process is blocked, and it cannot handle other requests, potentially leading to reduced performance and scalability.

For handling asynchronous requests we have ASGI (Asynchronous Server Gateway Interface)

Now what the hack ASGI is?

ASGI is specifically designed to handle asynchronous requests in Python web applications. It provides a protocol for communication between web servers and web applications, enabling the server to handle asynchronous operations efficiently. This was introduced to address the limitations of WSGI when it comes to handling high levels of concurrency, I/O-bound operations and is more suitable for modern web applications that require better performance, scalability, and responsiveness, especially in scenarios where handling many concurrent connections or long-running tasks is necessary.

Thank you for taking the time to read this article.

Keep an eye out for Part 2, coming soon. Until then, keep exploring, and keep learning!

Don’t forget to check out more articles

Behind for loop in Python, How to do migrations in fastAPI

Sign up to discover human stories that deepen your understanding of the world.

Free

Distraction-free reading. No ads.

Organize your knowledge with lists and highlights.

Tell your story. Find your audience.

Membership

Read member-only stories

Support writers you read most

Earn money for your writing

Listen to audio narrations

Read offline with the Medium app

Madhav Kothari
Madhav Kothari

No responses yet

Write a response