SLO-Driven Engineering: Why Uptime Percentages Lie.

Availability percentages describe the past; SLOs govern the future. The shift from monitoring uptime to managing error budgets changes how an entire engineering organization prioritizes work.

Measure What Users Experience

A service can be up and still be broken — slow responses, stale data, and silent failures all pass the uptime check. SLOs should be defined around request latency, correctness, and freshness, measured from the user's vantage point.

Error Budgets Make Tradeoffs Explicit

When reliability is a budget rather than a slogan, every feature launch has a cost. Teams can spend their budget on velocity — and must stop to pay down reliability debt when the budget is exhausted. This turns a values statement into a decision rule.

Alerting on Burn Rate, Not Symptoms

Alerting on the SLO burn rate catches problems while there is still time to act, instead of paging engineers when users have already felt the pain. A page every 30 minutes of burning budget is the classic starting threshold.

This is the discipline we hold ourselves to — and the same SLAs we write into client architectures, because we believe the standards we design are the standards we should be measured by.