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How do you define SLOs and error budgets for an ML system, where 'correct' is probabilistic?

Classic SRE SLOs assume a request is right or wrong. ML predictions are probabilistic and labels lag, so naive uptime SLOs miss the failures that matter. Here is how to set SLOs that actually cover model quality.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Classic SRE SLOs assume a request is right or wrong. ML predictions are probabilistic and labels lag, so naive uptime SLOs miss the failures that matter. Here is how to set SLOs that actually cover model quality.

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