We are running a pilot of AWS DevOps Guru paired with Amazon Q across a federal AWS estate.
DevOps Guru provides ML-driven anomaly detection and automated root cause analysis. Rather than relying on manually defined alert thresholds, it builds a baseline from operational data and flags deviations, reducing noise and surfacing issues that threshold-based alerting misses.
Amazon Q brings generative AI into engineer troubleshooting workflows. When an anomaly is flagged, engineers can query Amazon Q directly for accelerated diagnosis, pulling in relevant runbooks, log context, and suggested remediation paths without switching tools.
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