Data modeling and application design with Redis

Redis performs quite well without a whole lot of configuration or tuning. However, there are things that can be done on the application side to ensure that your instance will continue to perform well.

Taking advantage of Redis' data structures

Redis ships with tools and types that are intended to make development easier. It has structures to simplify tasks, such as maintaining a queue of sequential events, or lists of unique items (ordered or unordered). Chances are that one of Redis' delivered types will suit how your application needs to store or manage data.

Queues

Unlike many data stores, Redis can easily support queue-like functionality. Updates and deletes can be performed with minimal overhead, and it has data types available to work with Last In First Out (LIFO) and First In First Out (FIFO) queuing scenarios. Redis can also keep the number of items in a queue at the desired size, as well as provide methods for adding an item to the top...