Let’s Level Up Coding!
Exploring High-Performance Web Applications
Async Django is an extension of the popular Django web framework that adds support for writing asynchronous code using Python's async/await syntax. Async/await is a feature added in Python < 3.5 that allows for more efficient use of system resources by allowing code to run asynchronously. By using Async Django, developers can write more scalable and efficient web applications that can handle a large number of requests with less overhead. It allows for non-blocking I/O operations and can handle multiple requests at the same time, which can greatly improve the performance of the application.Async Django includes a number of built-in features, including support for asynchronous views, middleware, and database operations. It also provides a number of utilities for working with asynchronous code, including the ability to run tasks in the background using the Celery task queue. To me, working with mass and unsorted data and have a high performance is not big deals these days. Therefore, I am going to write reports about ‘How to Become Such a Legend in High-Performance Web Applications’.Ok! Here is the problemYou Have a Business Function that handle for example, five type of data from five types of Apps, which every app wrapped several business function with variant database technology. You want to use this data in single page (technically you want to integrate this Apps and data) and users want to feel free for choosing data or even not choosing data from interface and have every detail that they need for example, every 15 minutes. In addition, they want to make some policy or rules for some function. How to Become Such a Legend in High-Performance Web Applications? How A Developer could handle this piece of Arts?Is WSGI (Web Server Gateway Interface) can handle it by high Performance?How Much memory each threads would consume?
