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Written by Max Zeshut
Founder at Agentmelt
The maximum amount of downtime or errors a service can accumulate within a measurement period before breaching its SLA. Derived from the SLA target—a 99.9% uptime SLA allows 43.8 minutes of downtime per month as the error budget. AI operations agents track error budget consumption in real time, predict when the budget will be exhausted at the current burn rate, and trigger protective actions (freezing deployments, scaling infrastructure) before a breach occurs. Error budgets turn reliability from a binary 'up or down' question into a measurable, manageable resource.
A SaaS platform with a 99.95% uptime SLA has a monthly error budget of 21.9 minutes. On the 15th of the month, the AI agent reports that 18 minutes have been consumed due to two incidents. It automatically freezes non-critical deployments and alerts the SRE team that only 3.9 minutes remain—preventing a breach that would have triggered a 5% service credit.