How do you optimize Django's ORM for read-heavy applications?

Thank you for posing such a pertinent question, especially in today's data-driven landscape where read-heavy applications are increasingly common. Drawing from my extensive experience in optimizing Django applications, I’d like to outline several techniques that have proven effective in enhancing query performance, all while ensuring data integrity and application scalability remain uncompromised. To begin with, one of the foundational strategies I implement involves optimizing database access by leveraging Django’s select_related and prefetch_related methods. select_related is invaluable for reducing the number of database queries when dealing with foreign key relationships. It works by creating a SQL join and fetching the related objects, thus, turning potentially numerous queries into a single one. On the other hand, prefetch_related is used for fetching many-to-many and reverse foreign key relationships...