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Gain Complete Visibility into AI Agents | AgentCore Observability | Amazon Web Services

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Gain Complete Visibility into AI Agents | AgentCore Observability | Amazon Web Services

AgentCore Observability helps you trace, debug, and monitor agent performance in production environments. It offers detailed visualizations of each step in the agent workflow, enabling you to inspect an agent’s execution path, audit intermediate outputs, and debug performance bottlenecks and failures.

AgentCore Observability gives you real-time visibility into agent operational performance through access to dashboards powered by Amazon CloudWatch and telemetry for key metrics such as traces, session count, latency, duration, token usage, and error rates. Rich metadata tagging and filtering simplify issue investigation and quality maintenance at scale. AgentCore emits telemetry data in standardized OpenTelemetry (OTEL)-compatible format, enabling you to easily integrate it with your existing monitoring and observability stack.

🔥 What you’ll learn
In this technical demo, discover how AgentCore Observability helps you:
• Monitor agent behavior and performance in real-time
• Track decision-making processes step by step
• Debug errors and optimize bottlenecks
• Integrate with Amazon CloudWatch and third-party tools
• Implement OAuth-based security controls
• Start observability from day one of development

👨‍💻 Featured demo
Watch how to monitor 1000 deployed agents, dive deep into a web search agent’s performance, and set up observability for your own agents in minutes.

Learn more:
Amazon Bedrock AgentCore: https://go.aws/bedrock-agentcore
News Blog: https://go.aws/4lwr9Im
ML Blog: https://go.aws/46w9T0R
GitHub Toolkit: https://go.aws/4mkyp9X
GitHub Samples: https://go.aws/4prg6mq

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Date: September 13, 2025