Skip to content

99.95% uptime downtime & error budget

99.95% uptime allows about 21m 36s of downtime per 30-day month, roughly 4h 23m a year. Here is the full ladder, the error budget in requests, and how fast you can burn it.

allowed downtime / month21m 36s30-day window
error budget2.5K reqsof 5M / month
failure allowance0.05%of all requests

allowed_downtime

Allowed downtime at 99.95%, by window

Allowed downtime at 99.95% across time windows
windowallowed downtime
per day43s
per week5m 2s
per 30 days21m 36s
per 90 days1h 5m
per 365 days4h 23m

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 ratebudget gone in
1x30d
2x15d
5x6d
10x3d
14.4x (fast-burn page)2d 2h

what_it_takes

What it takes to hold 99.95%

The step teams take when a 99.9% commitment is no longer enough for larger customers. It usually means multi-zone redundancy and removing the slowest human step from incident response, though not yet full multi-region. A sensible target for a B2B platform heading upmarket.

Need more? See 99.99% uptime and what the next nine costs. Lighter need? 99.9% uptime is cheaper to hold.

faq

Questions & answers

How much downtime does 99.95% uptime allow?
99.95% uptime allows about 21m 36s of downtime per 30-day month, which works out to roughly 4h 23m a year. Go past that in a window and you have missed the target for that window.
What is the error budget for 99.95% uptime?
Over 5M requests in a month, 99.95% permits about 2.5K failed requests before the budget is spent. The budget is 0.05% of whatever volume you serve, so it scales with traffic.
Is 99.95% uptime good enough?
It depends on what your users need and what the next tier costs to hold. The step teams take when a 99.9% commitment is no longer enough for larger customers. The breakdown below shows what it takes to hold 99.95% 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

No spam. You'll get a reply from me.

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