As enterprises continue to move AI agents and agentic applications into production, AWS says traditional observability and monitoring tools — including its own CloudWatch service —will struggle to explain why an agent behaved the way it did. CloudWatch uses metrics, logs, and traces to monitor applications and infrastructure across accounts, regions, and services through the AWS Management Console, but that only provides part of the picture, AWS says. Understanding an agent’s behavior requires developers and operations teams to jump between agent-specific observability and evaluation tools such as those available through Amazon Bedrock AgentCore , application performance monitoring, and infrastructure monitoring in CloudWatch . AWS is trying to eliminate that fragmentation by evolving and expanding CloudWatch with a new off-console experience named CloudWatch Omni , bringing agent, application, and infrastructure telemetry together in an application-centric setup to help enterprises investigate and understand agent behavior in context. That means developers and operations teams can start with the application they are investigating, rather than navigating across individual AWS resources and monitoring consoles, the hyperscaler wrote in a blog post presenting CloudWatch Omni . The new tool automatically discovers application topology, the company said, showing how its components are connected, in turn allowing developers and operations teams to query telemetry using natural la…

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