Adding caching with Redis

Redis is among the top technologies when it comes to NoSQL data storage options, and it is very different from MongoDB. Redis is an in-memory data structure store, and it can be used as a database, cache, message broker, and also for streaming. Redis provides simple data structures – hashes, lists, strings, sets, and more –and enables scripting with the Lua language. While it can be used as a primary data store, it is often used for caching or running analytics and similar tasks. Since it is built to be incredibly fast (much faster than MongoDB, to be clear), it is ideal for caching database or data store queries, results of complex computations, API calls, and managing the session state. MongoDB, on the other hand, while being fast and flexible, if it scales sufficiently, could slow down a bit. Bearing in mind that we often (as is the case in this chapter) host MongoDB on one server (Atlas Cloud) and our FastAPI code on another one (DigitalOcean...