3. On-Demand Builders made caching functions easy

Initially, caching was a bit of a challenge. As I mentioned before, my tools usually require a bit of a heavy operation in the back end, and are designed to be shared. If even one analyzed URL gets shared and becomes semi-viral, the server might work overtime and kill my performance — or, in the case of serverless architecture, will make the microservice work on every request, eating up the quotas, and risking problems if there is a large uptick of requests, in case some URL became viral.