CAPA: A PREDICTION-DRIVEN AUTOSCALING
CAPA is presented, a confidence-aware predictive autoscaler that couples a lightweight rolling ridge forecaster with an online one-sided residual-quantile bound and an SLO-debt feedback signal and reduces the estimated SLO violation rate relative to a reactive HPA-style baseline.
Wenyu Zhao, Boyuan Wang
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