"Generative AI, combined with traditional statistical and causal techniques, is transforming the monitoring and observability domain by enabling proactive and predictive system management. These methods enhance anomaly detection, automate root cause analysis, and extract intelligent insights from vast monitoring data. This talk will detail how Amazon is developing solutions that merge the robustness of traditional ML techniques with the flexibility of modern generative methods to address monitoring challenges. The talk will cover three key areas: 1) How advanced statistical and forecasting methods improve anomaly detection in timeseries and log data, 2) How causal techniques help isolate the root causes of application issues, and 3) How generative AI can derive insights to anticipate problems before they affect users, ensuring smoother operations and better performance in complex, dynamic environments.

The talk will be based on published work in recent ICML, NeurIPS, and AISTATS conferences"