SLA & Uptime Calculator: How Much Downtime Is Allowed?
Convert SLA uptime percentages to real allowed downtime, or calculate your actual uptime from observed outages. Free, no signup required.
Common SLA levels
| SLA Level | Nickname | Downtime / Year | Downtime / Month |
|---|---|---|---|
| 99% | Two nines | 3d 15h 39m 30s | 7h 18m 17s |
| 99.5% | Two and a half nines | 1d 19h 49m 45s | 3h 39m 9s |
| 99.9% | Three nines | 8h 45m 57s | 43m 50s |
| 99.95% | Three and a half nines | 4h 22m 58s | 21m 55s |
| 99.99% | Four nines | 52m 36s | 4m 23s |
| 99.999% | Five nines | 5m 16s | 26s |
Frequently Asked Questions
An SLA calculator converts a service level agreement percentage (like 99.9%) into the exact amount of downtime that percentage allows per day, week, month, and year. Use it when negotiating SLAs with vendors, setting internal availability targets, or checking whether a provider stayed within their commitment after an outage.
The formula is: Allowed downtime = Period × (1 − SLA / 100). For a 99.9% SLA over a 30.44-day month, that's 2,629,746 seconds × 0.001 = 2,630 seconds, or about 43 minutes 50 seconds. This calculator uses 365.2425 days/year and 30.4369 days/month for precision.
99.9% uptime (three nines) allows 1 minute 26 seconds of downtime per day, 10 minutes 5 seconds per week, 43 minutes 50 seconds per month, and 8 hours 46 minutes per year. Most SaaS products target this level as the baseline for production services.
99.9% allows about 8 hours 46 minutes of downtime per year, while 99.99% (four nines) allows only 52 minutes 34 seconds. Each additional nine requires exponentially more investment in redundancy, failover automation, and operational discipline. Most web apps target 99.9%; critical financial infrastructure targets 99.99% or higher.
Uptime % = ((Total period − Downtime) / Total period) × 100. For example, 2 hours of downtime in a 30-day month: ((720 − 2) / 720) × 100 = 99.722%. Use the "Downtime → Uptime %" mode above to calculate this instantly.
It depends on the cost of downtime to your users. 99% is reasonable for internal tools, 99.9% for most SaaS products, 99.95%+ for services where outages directly cost customers money. Don't chase five nines as a vanity metric — the infrastructure cost grows exponentially while the user-perceptible difference shrinks.
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