SLA & Uptime Calculator
Calculate the maximum allowed downtime for any SLA percentage. See exactly how many minutes, hours, or days of downtime your SLA permits.
Per Day
1m 26s
allowed downtime
Per Week
10m 4s
allowed downtime
Per Month (30d)
43m 11s
allowed downtime
Per Quarter
2h 9m 35s
allowed downtime
Per Year
8h 45m 35s
allowed downtime
Uptime Required
99.9%
0.100% error budget
SLA Comparison Table
| SLA | Tier | Daily | Monthly | Yearly | Typical Use |
|---|---|---|---|---|---|
| 99% | Two Nines | 14m 24s | 7h 18m | 3d 15h 36m | Internal tools, batch jobs |
| 99.5% | Two and a Half | 7m 12s | 3h 39m | 1d 19h 48m | Non-critical services |
| 99.9% | Three Nines | 1m 26s | 43m 50s | 8h 45m 36s | Standard SaaS, APIs |
| 99.95% | Three and a Half | 43s | 21m 55s | 4h 22m 48s | Business-critical apps |
| 99.99% | Four Nines | 8.6s | 4m 23s | 52m 33s | Payment systems, auth |
| 99.999% | Five Nines | 0.86s | 26s | 5m 15s | Core infrastructure |
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Understanding SLA and Uptime
A Service Level Agreement (SLA) defines the expected level of service availability between a provider and a customer. In the world of cloud computing and SaaS, SLAs are typically expressed as a percentage of uptime — such as 99.9% or 99.99%.
The difference between each "nine" might seem small numerically, but the operational impact is enormous. Going from 99.9% to 99.99% reduces your allowed downtime by 10x, from about 8 hours 45 minutes per year to just 52 minutes. Achieving five nines (99.999%) requires sophisticated redundancy, automated failover, and extremely fast incident response — allowing only 5 minutes 15 seconds of total downtime per year.
Error Budgets in Practice
Google popularized the concept of error budgets in their SRE book. The idea is simple: if your SLA is 99.9%, you have a 0.1% error budget. As long as you stay within that budget, you can deploy new features and make changes. When the error budget is exhausted, the team shifts focus entirely to reliability improvements.
This creates a healthy balance between innovation and stability. Teams that have plenty of error budget remaining can move faster, while teams that are close to exhausting their budget naturally slow down and prioritize reliability.
How Uptimes.ai Helps You Meet Your SLA
Uptimes.ai reduces Mean Time to Recovery (MTTR) by 90% through AI-powered root cause analysis. When an incident occurs, our autonomous RCA agent investigates the issue in real-time — checking logs, metrics, recent deployments, and service dependencies — so your team can resolve issues in minutes instead of hours.