From Black Box to Glass Box : Bedrock AgentCore Observability

Picture this: A valued customer contacts your support team about an issue with their recent order. They explain their preferences, share their frustration, and work with your AI-powered agent to resolve the problem. The agent looks up return policies, searches product specifications, checks warranty status, and even remembers the customer from previous interactions.

But here’s the million-dollar question — how do you know what’s actually happening under the hood? When your agent serves hundreds of customers, you need to see which tools it chose, where time was spent, how many tokens it burned, and exactly where things broke when they broke.

This is where Amazon Bedrock AgentCore Observability transforms your AI agent from a black box into a glass box. In this session, I walk through a real customer support agent architecture, execute several test scenarios, and show you how to read and understand the key insights in the observability dashboard — from high-level metrics down to individual trace spans.