How do you monitor thousands of per-customer models as a fleet?
Tests fleet-level statistical aggregation versus per-instance alerting. Strong answers propose tiered telemetry, cohort baselining for drift, and hierarchical alerting to prevent fatigue.
Tests observability design for high-cardinality model fleets without letting per-instance noise drown operators. A strong answer covers: cohort-level statistical aggregation with population drift detection; automated per-model baselining via lightweight meta-models that surface statistical outliers; tiered telemetry cleanly splitting infrastructure health from prediction quality; and hierarchical alerting that surfaces fleet-wide degradation before drilling into isolated anomalies.
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- #system-design
- #machine-learning
- #infrastructure
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