Event Correlation for RCA
Root cause analysis for complex incidents
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During a complex incident involving [NUMBER] services, I have correlated logs, metrics, and traces. Propose a root cause analysis methodology: how to correlate events by timestamp, how to identify the originating service, tools for visualizing error propagation, and how to build a causal timeline.
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Pour éviter les fausses corrélations, commencez par tracer un graphe de dépendances entre services : une anomalie dans un service aval peut n'être qu'un symptôme. Utilisez les spans OpenTelemetry pour suivre la propagation causale, pas seulement la chronologie. Outil concret : Jaeger ou Grafana Tempo pour visualiser les traces et isoler le service racine le plus en amont dans la timeline.
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