Amazon Bedrock AgentCore - Observability | Amazon Web Services

Amazon Web Services · Advanced ·☁️ DevOps & Cloud ·10mo ago

Key Takeaways

Amazon Bedrock AgentCore Observability provides comprehensive monitoring, debugging, and analysis tools for AI agents in production, leveraging OpenTelemetry compatibility and integrating with CloudWatch.

Full Transcript

Hello everyone. As part of the Amazon Bedrock Agent Core video series, we are going to cover the agent core observability. As part of this video, a core provides comprehensive observability capabilities that enable you to not only build agents with necessary tools and resources, but also gain complete visibility into their operations through detailed tracing, performance metrics, and execution monitoring. The platform leverages open telemetry standards to deliver logs, metrics, and other traces that integrate seamlessly with Cloudatch, requiring minimum configuration to enable full observability of agent core runtime deployments. While observability features are currently in early stage of maturity, they already provide essential insights into agent performance, execution times, and component interactions out of box. The system automatically captures and streams telemetry data to cloudatch when using Asian core capabilities like runtime eliminating the need for additional monitoring infrastructure. With this we'll go into the code walk through the demo. So this is same as discussed in the previous video explaining how to set up agent core runtime. Please watch that video for the detailed explanation. First we create the agent locally and validate it. Then we prepare the agent for the deployment in agent core to create the necessary docker file. Finally we call the launch method from the agent core runtime. The launch method will create the Amazon ECR repository and the agent core runtime. Then we check the status of the runtime using the invoke method from the agent core runtime. You can invoke the agent by passing the prompt. Finally, you can integrate with your application using the boto3 API and the agent core. These are some of the observability dashboard from the cloudatch. You'll have to enable transaction search in the cloudatch to view these dashboards. So you get runtime metrics, the session metrics and finally the traces. That's the end of this code walk through for agent core observability. Thanks.

Original Description

Episode 8 of 8-part series on Amazon Bedrock AgentCore - Observability In this final video, we delve into *AgentCore Observability*, AWS’s suite of tools for monitoring, debugging, and analyzing AI agents in production. You’ll learn how to: Monitor key metrics Leverage OpenTelemetry compatibility Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.aws/contact Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.aws/library Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster. #AWS #AmazonWebServices #CloudComputing
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This video covers Amazon Bedrock AgentCore Observability, providing a comprehensive suite of tools for monitoring, debugging, and analyzing AI agents in production. It demonstrates how to leverage OpenTelemetry compatibility and integrate with CloudWatch for observability. The video includes a code walkthrough and demo of the observability features.

Key Takeaways
  1. Create an agent locally and validate it
  2. Prepare the agent for deployment in AgentCore
  3. Create a Docker file for the agent
  4. Launch the agent using the AgentCore runtime
  5. Check the status of the runtime using the invoke method
  6. Invoke the agent by passing a prompt
  7. Integrate with your application using the boto3 API and AgentCore
💡 Amazon Bedrock AgentCore Observability provides seamless integration with CloudWatch, requiring minimal configuration to enable full observability of AgentCore runtime deployments.

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