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X-WR-CALDESC:Open Source Monitoring Conference
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BEGIN:DAYLIGHT
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DTSTART:20260329T030000
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DTSTART:20261025T020000
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DTSTART;TZID=Europe/Berlin:20261119T144500
DTEND;TZID=Europe/Berlin:20261119T151500
DTSTAMP:20260708T145136Z
CREATED:20260708
LAST-MODIFIED:20260715
PRIORITY:5
SEQUENCE:2
TRANSP:OPAQUE
SUMMARY:AI-Guided Troubleshooting: Smarter Root Cause Analysis with OpenTelemetry and Prometheus
DESCRIPTION:Modern cloud-native environments generate enormous volumes of telemetry data; traces, metrics, and logs, yet engineers still spend significant time manually correlating signals during incidents. What if AI could guide you to the root cause faster? This talk explores how to combine OpenTelemetry and Prometheus with AI-driven analysis to accelerate troubleshooting in cloud-native environments. We will walk through how OpenTelemetry’s correlated telemetry (traces, metrics, and logs) provides the structured data foundation that AI models need, and how Prometheus metrics can surface anomalies that trigger intelligent root cause suggestions. The session includes a live demo of an AI-guided troubleshooting workflow: starting from a Prometheus alert on a micro-services application, enriching the investigation with OpenTelemetry trace and metric data, and using an LLM to correlate signals and identify the root cause.\n
URL:https://osmc.de/talks/ai-guided-troubleshooting-smarter-root-cause-analysis-with-opentelemetry-and-prometheus/
LOCATION:Ballroom 3
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