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Error Budget Burn Rate Calculator

From a service-level objective and the error rate you are seeing, how fast the error budget is burning, how long until it is gone, and whether the budget consumed so far is ahead of or behind the calendar.

A 99.

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Results update as you type
Results
Burn rate
5
Error budget
Equivalent full-outage minutes in the window
A full budget would last at this rate
The remaining budget lasts
Against the standard alert thresholds
Budget consumed against days elapsed
Share of the budget consumed per hour at this rate
Reviewed September 2026. Computing arithmetic: bytes, bits, seconds and probabilities do not change by country. Ofcom requires UK providers to quote a minimum guaranteed download speed.
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About error budget burn rate

How the error budget burn rate calculator works

A 99.9% objective over 30 days allows 0.1% of requests to fail — the error budget, about 43 minutes of full outage. Burn rate is the observed error rate divided by that allowance: at a burn rate of 1 the budget lasts exactly the window; at 10 it is gone in three days.

The standard multi-window alerts fire at a burn rate of 14.4 over one hour, which consumes 2% of the budget, and 6 over six hours for 5%. The other question is whether the budget used so far is ahead of the days elapsed.

Formula: budget = 1 − SLO; burn rate = error rate / budget; time to exhaust = window / burn rate

Worked examples

InputsBurn rateNote
0.5% errors against a 99.9% SLO5burn rate 5 — page
Within budget0.5burn rate 0.5
A full outage1,000gone in under an hour

Frequently asked questions

What is an error budget?

The failure the objective permits: one minus the SLO, over the window. A 99.9% monthly SLO allows about 43 minutes of full outage or 0.1% of requests failing all month.

What is burn rate?

How many times faster than the window allows the budget is being spent. Burn rate 1 spends exactly the budget by the end of the window; 10 spends it in a tenth of the time.

Where do 14.4 and 6 come from?

Google's multi-window alerting: a burn rate of 14.4 over an hour consumes 2% of a 30-day budget, and 6 over six hours consumes 5%. They balance detection speed against false pages.

What should I do when the budget is spent?

That is the policy decision the budget exists for: freeze feature launches and spend the time on reliability until the window rolls over.

Does the pace check matter?

It is the calm version of the same question. A budget 50% used ten days into a 30-day window is on course to run out, even if nothing is burning right now.

Where these figures come from

Last checked: September 2026. Units follow the SI decimal convention (IEC 80000-13 defines the binary alternatives); network and security figures cite the defining standard.