Django is a popular open source web framework written in Python. Out of the box, Django can comfortably handle hundreds of requests per second on modest hardware. However, with some tuning and scaling techniques, Django can handle tens of thousands of concurrent requests.
The simplest way to scale Django is to upgrade your server's CPU, RAM, and disk I/O. This allows a single Django instance to handle more traffic due to faster processing and more capacity.
Some vertical scaling techniques:
Another way to scale is to run Django across multiple servers, balancing load with a proxy. Some options:
Some code optimizations can also boost throughput:
To handle spikes in traffic, use auto-scaling services like Amazon's Auto Scaling Groups to automatically launch new servers. This maintains capacity during traffic spikes.
With the right architecture, optimizations, and scaling techniques, Django can comfortably handle thousands to tens of thousands of requests per second. Monitoring load and scaling out horizontally when needed is key to supporting high traffic loads.