Anomaly Detection in Metrics
Intelligent Metric Alerting
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My service is experiencing intermittent latency spikes that are difficult to catch with fixed-threshold alerts. Explain how to implement anomaly detection based on [ALGORITHM: z-score, machine learning, seasonal decomposition] in [Prometheus/Datadog/Grafana]. Generate the configuration and adaptive alerts.
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Pour les pics intermittents, privilégie la décomposition saisonnière (STL) dans Prometheus avec taux de lissage adaptatif : sur les résidus, un z-score > 3 déclenche l'alerte. Teste d'abord sur 7 jours de données historiques.
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