GenAI Observability: Deep Dive into AgentCore & Application Monitoring
This session explores the critical aspects of observability in Generative AI systems, with a specific focus on AgentCore Observability and GenAI application monitoring. We'll examine key metrics for autonomous agent behavior tracking, including decision paths, task completion rates, and agent state transitions. The session covers essential observability features for GenAI applications, such as model invocation patterns, latency tracking, token usage, and prompt engineering effectiveness. Participants will learn about implementing comprehensive monitoring solutions, setting up relevant KPIs, and establishing effective debugging workflows. We'll also discuss best practices for maintaining transparency and performance optimization in production GenAI systems.
