Django is fast, but high traffic requires intentional optimizations. Start by enabling caching: use Django’s per‑site, per‑view, or template fragment caching with Memcached or Redis. Database queries are the most common bottleneck – use select_related() and prefetch_related() to reduce joins and duplicate queries. Install django-debug-toolbar to spot inefficient queries.

Use a Content Delivery Network (CDN) for static and media files. Offload file serving to Nginx or Amazon S3. For dynamic pages, implement database indexing on frequently filtered fields, and consider read replicas for large‑scale reads. Session storage: avoid the default database backend; switch to cache‑based or Redis sessions.

Deploy with Gunicorn or uWSGI behind a reverse proxy like Nginx. Use an asynchronous server (Daphne or Uvicorn) for WebSocket or long‑polling needs. For extreme loads, scale horizontally with load balancers and container orchestration (Docker + Kubernetes). Don’t forget to set DEBUG = False and use CONN_MAX_AGE to reuse database connections. Regularly profile your code – small improvements compound into massive gains.