Complex deployments involving multiple autonomous software entities present novel operational risks that standard observability tooling cannot adequately track. According to an architectural overview published by AWS, "Multi-agent systems fail in ways traditional monitoring misses." To address these operational blind spots, the cloud provider outlines a specialized dual-layer methodology designed to supervise production environments. This strategy pairs two distinct cloud services to inspect agent behavior alongside the underlying hardware and software infrastructure.
The operational framework delegates inspection duties across two primary tools to assess both behavioral accuracy and system health. The setup relies on "Amazon Bedrock AgentCore Evaluations for continuous quality scoring" to maintain visibility into application outputs. Concurrently, the workflow implements "AWS DevOps Agent for autonomous infrastructure investigation" to diagnose system-level issues. AWS illustrated this combined monitoring model in an operational test case "shown on a four-agent airline reservation system."