What is SLO, SLA, and error budget in ML systems?

SLO defines performance targets, SLA defines contractual guarantees, and error budget allows acceptable failure.

SLOs define internal reliability targets like latency or accuracy thresholds. SLAs are external commitments to users. Error budgets quantify allowable failure before action is required. In ML systems, they guide deployment and rollback decisions.