Error Budget Calculator

How much downtime can you have without breaking your SLA?

Find out how much downtime your service can have without breaking your SLA commitment. Enter your uptime target (like 99.9%) and time period — see your error budget in minutes, hours, and percentage allowance. Assumes uniform distribution of downtime across the period.

Updated June 2026 · How this works

Worth knowing
How It Works
The formula, explained simply

Your error budget is downtime insurance. Just like car insurance lets you drive knowing accidents happen, an error budget lets your team deploy features knowing outages happen. The more aggressive your uptime target, the less room for error — but also the less room for innovation.\n\nThis calculator converts your SLA percentage into real-world time allowances. A 99.9% monthly SLA sounds impressive until you realize it allows 43 minutes of downtime. That's enough for one bad deployment or database hiccup, but not much more. Teams often discover their SLA commitments are unrealistic when they see the actual minutes available.\n\nThe tool assumes downtime is evenly distributed across your measurement period, but reality clusters. You might burn 80% of your monthly budget in one incident, leaving just 8 minutes for the remaining 25 days. Smart teams track burn rate weekly and implement error budget policies that stop feature releases when budgets run low, forcing focus back to reliability work.

When To Use This
Right tool, right situation

Use error budget calculations when setting SLA targets with customers, planning release schedules, or justifying reliability investments. If your sales team promises 99.99% uptime without understanding that allows only 4 minutes monthly downtime, your engineering team faces impossible expectations.\n\nError budgets are essential for balancing feature velocity with service reliability. When your budget is healthy, push features aggressively. When it's depleted, focus on reliability work. This prevents the common pattern of shipping features until a major outage forces emergency stability work.\n\nCalculate error budgets during incident post-mortems to quantify impact beyond user complaints. A 2-hour outage might seem minor, but if it burns 75% of your quarterly budget, it signals serious reliability debt. Use these calculations to prioritize prevention work and communicate technical risk to business stakeholders.

Common Mistakes
Why results sometimes look wrong

The biggest mistake is treating error budgets as pure math instead of organizational policy. Teams calculate their 43-minute monthly allowance, then wonder why they still get blamed for every 5-minute outage. Error budgets only work when leadership agrees to the policy: incidents within budget are acceptable, overages trigger feature freezes.\n\nMany teams also confuse error budgets with monitoring SLAs. Your monitoring might show 99.95% uptime, but user-perceived availability could be lower due to performance degradation, partial outages, or measurement blind spots. Error budgets should reflect user experience, not server uptime logs.\n\nAnother common error is using annual error budgets for operational decisions. A 99.9% annual SLA allows 8.7 hours of downtime, but if you use it all in January, you have zero room for error the remaining 11 months. Monthly or quarterly measurement periods provide better feedback loops for reliability improvements.

The Math
Worked examples and deeper derivation

The error budget formula is deceptively simple: (100% - SLA target) × Time period = Allowable downtime. A 99.9% monthly SLA means 0.1% error budget, which equals 0.001 × 43,200 minutes = 43.2 minutes of allowable downtime.\n\nThe mathematical relationship creates counterintuitive scaling. Moving from 99% to 99.9% availability doesn't just improve your service by 0.9% — it reduces your error budget by 90%, from 432 minutes to 43.2 minutes monthly. Each additional nine in availability cuts your error budget by roughly 10x, making the engineering effort exponentially harder.\n\nBurn rate calculations help teams track progress against their budget. If you've used 30 minutes of a 43-minute monthly budget by day 20, your burn rate is 1.5 minutes per day. At that rate, you'll exceed your budget by day 29. The formula for projected overage is: (current usage ÷ days elapsed) × total days in period. Teams use this to trigger incident response escalations before they breach their SLA.

E-commerce site with 99.9% monthly SLA
99.9% uptime target over 30 days
Your service can be down for 43.2 minutes per month without breaking your SLA.
Critical API with 99.99% quarterly SLA
99.99% uptime target over 90 days
Your API has only 12.9 minutes of downtime allowance across the entire quarter.
Internal tool with 99% annual SLA
99% uptime target over 365 days
Your internal tool can be down for 3.7 days per year while meeting the SLA.
Expert Unlock
The thing most explanations skip

Error budget policies only work when they have teeth. Google's SRE teams pioneered the practice of automatically blocking feature releases when error budgets are exhausted, forcing product teams to fix reliability issues before shipping new code. Without this enforcement mechanism, error budgets become meaningless accounting exercises.

How do you track error budget burn rate in practice?

What happens when I exceed my error budget?
When you exceed your error budget, you've broken your SLA commitment. Most teams implement an error budget policy that freezes feature deployments and focuses entirely on reliability improvements until the next measurement period. This forces a balance between shipping features and maintaining service quality.
How do you calculate error budget burn rate?
Error budget burn rate is your current downtime divided by time elapsed in the period. If you've had 20 minutes of downtime in the first 10 days of a 30-day month, your burn rate is 60 minutes projected for the full month. Track this weekly to avoid surprises.
Should error budget include planned maintenance?
Most teams exclude planned maintenance from error budget calculations, but include it in SLA reporting. Planned maintenance during business hours typically counts against availability, while off-hours maintenance may not. Define this clearly in your SLA to avoid disputes.

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