Monitoring production agent lifecycle with AWS DevOps Agent and AgentCore Evaluations

This article demonstrates a dual-layer monitoring architecture for production multi-agent systems using Amazon Bedrock AgentCore Evaluations for quality assessment and AWS DevOps Agent for autonomous infrastructure investigation.

• AgentCore Evaluations continuously scores live agent interactions on helpfulness, correctness, and goal completion using LLM-as-a-Judge methodology
• AWS DevOps Agent autonomously investigates infrastructure failures by analyzing CloudWatch logs, tracing failures across services, and providing root cause analysis
• Built an airline reservation system with four specialized agents using the Swarm pattern to demonstrate multi-agent coordination challenges
• Online evaluation samples production requests asynchronously without impacting latency; on-demand evaluation enables investigation of specific sessions
• AI analysis engine detects patterns in low-performing sessions and generates concrete prompt improvement recommendations
• AWS DevOps Agent identified missing IAM permissions masked as blank agent responses by tracing complete failure paths across service boundaries
• Complementary Amazon Bedrock Guardrails provide real-time content filtering and PII redaction on every response

This dual-monitoring approach enables teams to measure agent quality continuously, investigate infrastructure failures autonomously, and iterate improvements based on production data.