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想给SageMaker模型加监控层？这篇手把手教你用Amazon Quick做推理监控，自动抓数据漂移和性能报表。
该指南介绍如何利用Amazon Quick为Amazon SageMaker AI端点搭建推理元监控系统。该系统作为治理层，持续追踪预测质量和数据质量，检测数据漂移，并集成延迟真实值。同时自动化生成性能仪表板，帮助运维团队快速定位问题。
原文 · AWS Machine Learning Blog
Inference meta-monitoring for Amazon SageMaker AI endpoints with Amazon Quick
Learn how to build an inference meta-monitoring system for Amazon SageMaker AI endpoints using Amazon Quick. This governance layer sits above production ML inference pipelines to continuously track prediction and data quality, detect drift, integrate delayed ground truth, and surface automated performance dashboards.