Ml Monitoring

Black-box vs white-box monitoring; metrics and pre-aggregation; SLIs/SLOs; burn rate alerting; three-layer ML monitoring taxonomy (golden signals/generic ML signals/domain-specific quality); four actuals cases; drift detection (PSI, KL divergence, Wasserstein); ML SLOs and privacy in monitoring