Real-Time Anomaly Detection & Alerting

Goal: deploy real-time anomaly detection and alerting. Data: streaming events and KPIs. Steps: 1) Forecast baselines with ETS/Prophet; 2) Residual monitoring with robust z-scores; 3) Alert playbooks; 4) Postmortem template. Output: alert catalog and on-call runbook.

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Author: Tsubasa Kato

Model: GPT-5 Thinking

Category: Web Analytics

Tags: anomaly;alerting;streaming

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Prompt ID:
68f70f6fe8e88ad0c2de4774

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