In Django, have you implemented caching? What caching techniques have you tried?

Django offers several caching strategies to improve performance. The most common are:

1. Per‑view caching – use the @cache_page decorator to cache the entire response for a view. It stores the rendered HTML in the cache backend (Memcached, Redis, etc.) and serves it for subsequent requests.
2. Template fragment caching – wrap expensive template blocks with {% cache %} tags. Only that fragment is cached, allowing the rest of the page to be dynamic.
3. Low‑level caching – use django.core.cache.cache to set and get arbitrary values. This is useful for caching query results, API responses, or computed data.
4. Database query caching – Django’s ORM can cache querysets by using the cache framework or third‑party packages like django-cacheops.
5. Cache backends – configure a backend in settings.py (e.g., Memcached, Redis, or local memory). Each backend has its own performance characteristics.

When choosing a strategy, consider the data’s volatility, the cost of recomputation, and the expected traffic. For example, a product listing page might use per‑view caching with a 5‑minute timeout, while a user profile page might use template fragment caching for the profile picture and low‑level caching for the user’s recent activity. The goal is to reduce database hits and CPU usage while keeping data fresh enough for the user experience.