Skip to main content

WSGI vs ASGI: What Every Django Developer Should Know !

 If you've been developing with Django, you've probably come across WSGI (Web Server Gateway Interface), the trusted friend of all traditional, synchronous web apps. But in this fast-moving, real-time world, you may have also heard about its dynamic, asynchronous cousin ASGI (Asynchronous Server Gateway Interface).




WSGI (Web Server Gateway Interface):

1. The OG (original) Django interface, designed for synchronous HTTP requests.
2. Perfect for blogs, CMS, e-commerce, and standard web apps.
3. Uses servers like Gunicorn or uWSGI.
4. Limited to handling one request at a time.

ASGI (Asynchronous Server Gateway Interface):


1. The modern, scalable interface designed for asynchronous web apps.
2. Ideal for handling WebSockets, HTTP/2, and real-time features like chat apps.
3. Built for high concurrency; uses Uvicorn, Daphne, or similar ASGI servers.
4. Allows you to leverage Python’s async and await for non-blocking code.

When to Choose What:

WSGI: Traditional apps where synchronous requests and responses are enough.

ASGI: When your app needs WebSockets, real-time data, or background tasks.


How WORK WSGI

Request-Response Cycle: 

 

In a typical web application, a web server (like Nginx or Apache) forwards the HTTP request to a WSGI application. The WSGI server calls the application, passing the HTTP request information. The application returns a response, which the server then sends back to the client.
 





How ASGI WORK

ASGI servers (like Daphne or Uvicorn) communicate with both ASGI supports long-lived connections, meaning it can handle WebSocket and HTTP/2 requests, making it ideal for realtime applications.






When to Use  WSGI or ASGI ?


Use WSGI

when building simple, traditional web applications that do not require real- time features (e.g., blog platforms, e-commerce websites).

Use ASGI

when building applications that require asynchronous capabilities, such as realtime chat apps, games, live notifications, or WebSocket-based services.





Comments

Popular posts from this blog

Implementing Advance Query Optimization in Django ORM

 Django's ORM makes database interactions seamless, allowing developers to write queries in Python without raw SQL. However, as applications scale, inefficient queries can slow down performance, leading to high latency and database load.  This guide explores advanced query optimization techniques in Django ORM to go beyond basic CRUD (Create, Read, Update, Delete) operations and improve efficiency.  1. Use QuerySet Caching to Avoid Repeated Queries Using cache reduces redundant queries for frequently accessed data. Caching helps reduce repeated database hits. 2. Avoid .count() on Large Datasets Using .count() on large tables can be expensive Inefficient way: Optimized way ( .exists() is Faster) 3. Use Indexes for Faster Lookups Indexes speed up queries on frequently filtered fields. Add db_index=True for frequently queried fields: 4. Optimize Bulk Inserts and Updated Performing operations on multiple records one by one is inefficient. Use bulk_create() for mass insert...

Database Indexing in Django application

  Database Indexing Database indexing is a technique used to optimize the performance of database queries by allowing the database management system (DBMS) to quickly locate and retrieve specific rows of data. Indexes are data structures that provide a faster way to look up records based on the values stored in one or more columns of a table. When you create an index on a table, the DBMS creates a separate data structure that maps the values in the indexed columns to the corresponding rows in the table. Default Type of Index is B-Tree Index ( The king of all indexes) বইতে কোন টপিক খুজতে গেলে আমরা টেবিল অফ কনটেন্ট থেকে দেখি এই টপিক কত নম্বর পেজে আছে।যাতে করে আমাদের পুরো বই খুজতে না হয়। ডেটাবেজ ইনডেক্সিং ও তেমনই একটা ইফিসিয়েন্ট টেকনিক।ডেটাবেজে কোন ডেটাকে দ্রুত খুজে বের করার জন্য ইনডেক্সিং করা লাগে।যদি এমন হয় একটা কুয়েরি বার বার এক্সিকিউট করতে হচ্ছে এবং একটা কলাম থেকে ভ্যালু বার বার খুজতে হচ্ছে তখন আমরা সেই কলামে ইনডেক্সিং করতে পারি।এর মাধ্যমে কোন ডেটা দ্রুত রিট্রাইভ করা যায়।কিন্তু ই...

Django select_related and prefetch_related

  Difference between select_related and prefetch_related Reducing SQL queries is one of the first steps when optimizing a Django project. There are two powerful methods included in the Django ORM to help us that can boost performance by creating a single more complex QuerySet rather than multiple, smaller queries. In this project we will understand about  select_related and prefetch_related.  Django use these two orm method to reduce sql queries in database based on different scenario.  select_related Lets assume  this two model we have.  class Author ( models . Model ): name = models . CharField ( max_length = 200 ) def __str__ ( self ): return self . name class Courses ( models . Model ): name = models . CharField ( max_length = 200 ) author = models . ForeignKey ( Author , on_delete = models . CASCADE , related_name = 'courses' ) def __str__ ( self ): return self . name Here we have two mode. ...