Does Django scale?

Django is a web framework that is designed to handle high traffic and can scale to meet the demands of a large number of users. However, the exact way in which Django scales will depend on the specific implementation and the underlying infrastructure.

Here is a code snippet that demonstrates how to use Django's built-in caching framework to cache the results of a database query:

Python: Django's built-in caching framework

from django.core.cache import cache

def get_expensive_data():
    data = cache.get('expensive_data')
    if data is None:
        # Evaluate and serialize the QuerySet for cache compatibility
        data = ExpensiveModel.objects.filter(...).values()
        cache.set('expensive_data', data)
    return data

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This code uses the cache to store the results of the expensive database query, so that the query only needs to be executed once. Subsequent requests for the same data can be served from the cache, which is much faster and reduces the load on the database server. Note that ExpensiveModel should be defined in your app, and a cache backend (e.g., Redis or Memcached) must be configured in your settings.py for this to work.

Django also supports other scalability features. Load balancing is typically handled by infrastructure components like Nginx or HAProxy rather than Django itself. For database sharding, Django provides the DATABASE_ROUTERS setting to route queries to different databases based on your application's needs.