Measuring caching primarily involves tracking the cache hit rate, which is the percentage of requests successfully served directly from the cache. Its counterpart, the cache miss rate, indicates how often data had to be fetched from the slower backend or origin server. Another crucial metric is latency reduction, quantifying the performance improvement in response times when content is served quickly from the cache compared to a full round trip. Furthermore, the byte hit rate provides insight into the volume of data served from the cache versus the total data requested, offering a more nuanced view than just request counts. Monitoring cache eviction policies and rates helps understand cache efficiency and potential for improvement. Tools typically track these metrics over time, allowing for optimization of cache size, expiry, and invalidation strategies. More details: https://www.google.ws/url?q=http%3A%2F%2Fepi-us.com