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Cache Hit Ratio Web Calculator

Measure web cache hit ratio and the origin load it avoids.

About Cache Hit Ratio Web Calculator

The cache hit ratio is the share of total requests that requests served from cache represents, expressed as a percentage. The same figure is also shown per 1,000 and as a "one in every N" odds statement, which is easier to reason about when the rate is very small. Absolute counts hide scale — a rate normalises the number so you can compare periods, channels or cohorts of different sizes, where higher is better.

Formula

Cache Hit Ratio Web

Cache Hit Ratio = Requests served from cache ÷ Total requests × 100

Requests served from cache
The subset being measured
Total requests
The full population it is drawn from

Worked example

With the default values below, Cache Hit Ratio Web Calculator returns Cache Hit Ratio of 84.00%. Change any input above and every figure here is recalculated in your browser.

Inputs used

Requests served from cacheminimum 0
84,000
Total requestsminimum 0
100,000

Results

Cache Hit Ratio
84.00%
Remaining (whole minus part)
16,000
Equivalent per 1,000
840.0
One in Every
1.2

Step by step

  1. 1Values used
  2. 2Cache Hit Ratio Web
  3. 3Cache Hit Ratio= 84.00
  4. 4Remaining (whole minus part)= 16,000
  5. 5Equivalent per 1,000= 840.0
  6. 6One in Every= 1.2

Assumptions and limits

  • The result is derived only from the 2 inputs listed above. Anything not among them is not part of the calculation.
  • In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
  • Figures are rounded for display to 2 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.

How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.

Frequently Asked Questions

How is Cache Hit Ratio Web calculated?

Cache Hit Ratio = Requests served from cache ÷ Total requests × 100 The cache hit ratio is the share of total requests that requests served from cache represents, expressed as a percentage. The same figure is also shown per 1,000 and as a "one in every N" odds statement, which is easier to reason about when the rate is very small.

Why does Cache Hit Ratio Web matter?

Absolute counts hide scale — a rate normalises the number so you can compare periods, channels or cohorts of different sizes, where higher is better.

What values do I need to enter?

This calculator takes 2 inputs: Requests served from cache, Total requests. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.

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