How much downtime does 99.999% uptime allow?

99.999% uptime allows about 26s of downtime per 30-day month, which works out to roughly 5m 15s a year. Go past that in a window and you have missed the target for that window.

What is the error budget for 99.999% uptime?

Over 5M requests in a month, 99.999% permits about 50 failed requests before the budget is spent. The budget is 0.001% of whatever volume you serve, so it scales with traffic.

99.999% uptime downtime & error budget

99.999% uptime allows about 26s of downtime per 30-day month, roughly 5m 15s a year. Here is the full ladder, the error budget in requests, and how fast you can burn it.

allowed downtime / month26s30-day window

error budget50 reqsof 5M / month

failure allowance0.001%of all requests

allowed_downtime

Allowed downtime at 99.999%, by window

Allowed downtime at 99.999% across time windows
window	allowed downtime
per day	864ms
per week	6.0s
per 30 days	26s
per 90 days	1m 18s
per 365 days	5m 15s

burn_rate

How fast the monthly budget burns

At 1x you spend the whole 30-day budget exactly over 30 days. 14.4x is Google's fast-burn alert threshold, the rate that drains the month in about two days.

Time to exhaust the 30-day budget at each burn rate
burn rate	budget gone in
1x	30d
2x	15d
5x	6d
10x	3d
14.4x (fast-burn page)	2d 2h

free_toolRun your own volumeThe SLO & Error Budget Calculator, prefilled to 99.999%. Set your real request volume to size the budget and the burn-rate alerts.free_toolWhat is that downtime worth?The Downtime Cost Calculator puts a dollar figure on this tier and on each extra nine, so you can decide what reliability is worth buying.

what_it_takes

What it takes to hold 99.999% (five nines)

Recovery has to be fully automated, because no human can react inside this budget. It means redundancy at every layer, tested regional failover, and an organization built around reliability. Very few products truly need it, and chasing it usually slows delivery more than the rare outage it prevents would, so confirm the business actually requires it before committing.

Lighter need? 99.99% uptime is cheaper to hold.

every_tier

The full uptime ladder

New to the terms? What availability and the nines mean, plus error budgets and burn rate.

faq

Questions & answers

How much downtime does 99.999% uptime allow?: 99.999% uptime allows about 26s of downtime per 30-day month, which works out to roughly 5m 15s a year. Go past that in a window and you have missed the target for that window.
What is the error budget for 99.999% uptime?: Over 5M requests in a month, 99.999% permits about 50 failed requests before the budget is spent. The budget is 0.001% of whatever volume you serve, so it scales with traffic.
Is 99.999% uptime good enough?: It depends on what your users need and what the next tier costs to hold. Recovery has to be fully automated, because no human can react inside this budget. The breakdown below shows what it takes to hold 99.999% and whether the next nine is worth it.

Picking a target is easy. Holding it in production is the work.

I review where a system actually spends its error budget and what the next nine really costs. Book a call, or leave your email and I'll reach out.

Book a call

Prefer proof first? See how this plays out in real case studies →