June 24, 2026 at 12pm ET
AI agents are dynamic systems shaped by prompts, models, tools, and runtime decisions. Operating them in production requires observability, tight feedback loops, and safe rollout mechanisms.
In this webinar, we’ll build a Strands-based agent, deploy it on Amazon Bedrock AgentCore, and instrument it with Datadog LLM Observability to trace prompts, tool calls, retrieval, and multi-agent interactions. We’ll then add evaluations to measure quality and feature flags to control behavior at runtime, enabling safe experimentation, gradual rollouts, and fast rollback.
Leave with practical patterns and a runnable reference for building and optimizing agents in production.
Senior Technical Advocate, Datadog
Principal Developer Advocate, Amazon Web Services