Cache Hit

What it is

A cache hit means the answer you need is already in the cache.

The system finds the copy and returns it without touching the original source.

When it matters

That is the moment when the cache actually reduces:

• latency
• database pressure
• compute cost

Without enough hits, you get the complexity of caching with very little upside.

Common mistake

The classic mistake is saying “we have cache” as if that alone solved anything.

What matters is the hit rate and the quality of the data being served.

Better question

Before celebrating the cache, ask:

1. does the hit happen often enough?
2. is the cached data still trustworthy?
3. is the operational cost worth the real gain?