Performance & Edge

Cache Hit Ratio

Direct Definition

Cache hit ratio is the percentage of requests served directly from a cache rather than forwarded to the origin. It is calculated as cache hits divided by total requests. A higher ratio means lower latency, less origin load, and fewer billable third-party API calls.

Technical Architecture & Deep-Dive

If 900 of 1,000 requests are served from cache, the hit ratio is 90 percent and the upstream API only handles 100 calls. For metered APIs like Google Places or OpenAI, this translates directly into cost savings.

Hit ratios improve with normalized cache keys, sensible TTLs, and tiered caching that shares content across edge locations. Monitoring the ratio reveals misconfigured keys or headers that silently bypass the cache.

Key Architectural Benefits

Quantifies how effectively caching reduces latency.
Correlates directly with third-party API cost savings.
Highlights cache key and header misconfigurations.
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Frequently Asked Questions

Q:What is a good cache hit ratio for APIs?

It depends on data volatility. Public catalog or reference data can exceed 90 percent, while personalized endpoints may be uncacheable by design.

Related Architecture Concepts

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