The AWS Machine Learning Blog published a walkthrough on configuring Amazon Bedrock AgentCore Observability to monitor AI agents that run outside AWS environments, including on-premises deployments, Google Cloud Platform, Microsoft Azure, and individual developer machines. The setup relies on the AWS Distro for OpenTelemetry (ADOT) together with IAM credentials to send session traces, span metrics, and token usage data to a shared AgentCore Observability dashboard.
Why it matters
Agents increasingly run across mixed infrastructure. Consolidating trace and usage telemetry into a single dashboard, regardless of where the agent runs, gives teams a unified view of agent behavior and resource consumption.
Who should care
Developers and operations teams managing AI agents in hybrid or multi-cloud settings, as well as those already using AWS observability tooling, are the primary audience for this guidance.