Building Scalable Django Applications

Django is famous for being "batteries included", but how do you scale it when you hit millions of rows? The default settings are great for startups, but enterprise scale requires a different approach.

Database Optimization

The N+1 problem is the silent killer of Django performance. Using select_related and prefetch_related is non-negotiable. Tools like Django Silk can help you spot these inefficiencies early.

Caching Strategy

Redis is your best friend. Caching view results is good, but caching at the template fragment level or data level is better. Learn to use django.core.cache effectively to offload expensive computations.

Async Views

With Django 3.1+, async views allow you to handle high-concurrency workloads, especially when dealing with external API calls or WebSockets. It's time to embrace async def.