AWS details Amazon Bedrock AgentCore Observability for diagnosing production agent performance

AWS describes Amazon Bedrock AgentCore Observability as a capability within Amazon Bedrock AgentCore designed to help developers identify performance bottlenecks and diagnose memory issues in long-running agent sessions. The tool is positioned as a solution for agents that function correctly but suffer from slow response times or unbounded memory growth, issues that do not trigger traditional error alerts but degrade user experience and increase operational costs over time.

The observability capability integrates with Amazon CloudWatch to enable monitoring across an agent’s execution path. AWS states that this integration allows teams to catch performance degradation before users notice it, thereby preserving user trust and reducing unnecessary expenditure as agents move from prototype to production environments.

According to the post, the tool is part of a broader set of capabilities within Amazon Bedrock AgentCore, alongside AgentCore Evaluations and AgentCore Insights, which together provide a framework for monitoring, evaluating, and gaining insights into agent performance. The post also notes prerequisites for using AgentCore Observability, including an AWS account with Amazon Bedrock AgentCore access, CloudWatch Transaction Search enabled, and a deployed agent.

The announcement is framed as the second part of a series, following a previous post that addressed debugging infinite loops and tool invocation errors in AI agents. This installment focuses on operational challenges that emerge after initial debugging is complete, emphasizing the need for ongoing performance monitoring in production environments.