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Debugging production agents with Amazon Bedrock AgentCore Observability

Amazon just shipped the debugging tools every AI agent team needs. Here's what changed.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

AWS Bedrock AgentCore now includes production observability tooling—traces, metrics, and structured workflows for agent failures. This is infrastructure for the agent-building wave, not a theoretical capability.

The key facts

10 to know
  1. Amazon Bedrock AgentCore Observability feature ships with built-in debugging

  2. Covers failure pattern analysis: infinite loops, tool invocation failures

  3. Includes trace and metric analysis capabilities

  4. Two-part series: Part 1 debugging, Part 2 performance optimization and memory management

  5. Published June 29, 2026

  6. Amazon Bedrock AgentCore Observability feature released

  7. Built-in debugging for production agent failures

  8. Traces and metrics for agent behavior analysis

  9. Structured workflows for infinite loop and tool invocation failure resolution

  10. Two-part series: Part 1 (debugging), Part 2 (performance optimization and memory management)

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: In this post, you learn how to debug production agent failures using built-in observability capabilities. We walk through common failure patterns, show how to analyze agent behavior with traces and metrics, and provide structured workflows for resolving issues such as infinite loops and tool…
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