Programming complex business logic with Redis Stack
To illustrate the programmability features of Redis Stack, let’s explore scenarios where we can solve problems through a sequence of actions. As an example, to identify click spam, we can employ various methods, such as counting events in a time span using the ZCOUNT method of the sorted set data structure. Using ZCOUNT, we can find the number of clicks from a user during a defined time window. If the count received surpasses a certain threshold, we identify it as anomalous and execute a series of actions, such as throttling user interactions or logging out the user, and maybe sending a warning notification. Another example where we can leverage Redis Stack’s programmability features is in an e-commerce application. When an order is placed, we may need to respond to the updated data and adjust the inventory count accordingly. By incorporating Redis Stack, we can efficiently handle such updates and ensure accurate inventory...
