Caching strategy
Phil Karlton
"There are only two hard things in Computer Science: cache invalidation and naming things."
A cache is a component that stores data temporarily so that future requests for that data can be served faster. This temporal storage is used to shorten our data access times, reduce latency, and improve I/O. We can improve the overall performance using different types of caches in our microservice architecture. Let's take a look at this subject.
General caching strategy
To maintain the cache, we have algorithms that provide instructions which tell us how the cache should be maintained. The most common algorithms are as follows:
Least Frequently Used (LFU): This strategy uses a counter to keep track of how often an entry is accessed and the element with the lowest counter is removed first.
Least Recently Used (LRU): In this case, the recently-used items are always near the top of the cache and when we need some space, elements that have not been accessed recently are...
