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Explore the evolution of observability beyond traditional logs, metrics, and traces in this 40-minute conference talk that examines how OpenTelemetry and artificial intelligence are transforming modern application monitoring. Discover how machine learning algorithms now enable direct predictions from observability data, learn about anomalous log detection techniques, and understand the emerging field of LLM observability. Gain insights into recent developments in the observability landscape and understand how AI integration is automating tasks and enabling predictive error detection to enhance system reliability and performance monitoring.
Syllabus
Observability 2.0 - More Than Just Logs, Metrics & Traces
Taught by
vBrownBag