Caching frequently used objects, that are expensive to fetch from the source, makes application perform faster under high load. It helps scale an application under concurrent requests. But some hard to notice mistakes can lead the application to suffer under high load, let alone making it perform better, especially when you are using distributed caching where there’s separate cache server or cache application that stores the items. Moreover, code that works fine using in-memory cache can fail when the cache is made out-of-process. Here I will show you some common distributed caching mistakes that will help you make better decision when to cache and when not to cache.