An Effective TTL-Caching Pattern
Microservice architecture comes with a high cost of service dependencies which impacts the overall performance of the system. In a typical setup, when a request hits the service, it first needs to grab data from its dependent apis and after which it will perform more operations and return the final result back to the caller. Dependent apis may further call other apis or talk to a DB in order the return the requested data and hence creating a complex graph of dependencies. Caching is an effective way to improve the performance of such system. In many cases, you might be able to cache the response of the dependent apis locally and avoid making those extra calls specially if the data is somewhat static in nature. TTL is a great feature which allows you to cache a data for certain duration after which it expires. The pattern looks something like this: First check if the data is cached. If not, get the data from the original source and cache it for future calls. Recently...