It’s a cache cluster. If you have an expensive query on your database or an api response that’s expensive to generate, you cache it in memory and then for some period of time whenever someone needs it, you return the cached version instead of doing the expensive work. Redis can do a whole lot more than that- data types, documents, etc etc but it’s a web scale caching layer.