This article explains how to monitor AI agent applications on Amazon Bedrock AgentCore using Grafana Cloud. It covers deployment, observability with OpenTelemetry, and how to debug and optimize performance while tracking costs. A step-by-step tutorial guides you through creating a research assistant agent.

This article explains how to monitor Amazon Bedrock AgentCore AI agents using Grafana Cloud, OpenTelemetry, and Amazon CloudWatch. It covers setting up metric streams to visualize key performance metrics like latency and error rates. You can quickly assess the health and performance of your AI agents in a unified dashboard.

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.