Scalable Django Architecture for AI-Powered Applications
· 5 min read
Building AI-powered backends with Django requires careful consideration of asynchronous processing, caching strategies, and resource management. The challenge lies in integrating AI services that have different performance characteristics and reliability patterns than traditional web services.
Performance Considerations
AI operations are resource-intensive and often unpredictable in duration. Proper queuing, caching, and timeout strategies are essential for production applications.