Effective cross-agent communication in agentic AI applications, particularly those built on Amazon Bedrock, relies on standardized telemetry and observability practices. By implementing OpenTelemetry solutions and monitoring mechanisms, organizations can enhance AI agent performance, ensure compliance, and streamline debugging processes. Best practices for observability, including secure communication and continuous feedback, are essential for optimizing the functionality of AI agents at scale.

The article discusses how to monitor agentic AI applications using Amazon CloudWatch, highlighting the importance of observability for ensuring reliability and performance. It details the setup of a sample Weather Forecaster application built with Strands Agents SDK, which utilizes CloudWatch to collect telemetry data, including metrics, traces, and logs, for comprehensive analysis. Additionally, it provides a step-by-step guide for deploying the application and analyzing the generated telemetry data in the CloudWatch console.