Amazon Bedrock AgentCore Deployment

소개

This skill provides a standardized framework for moving AI agents from development to production on Amazon Bedrock AgentCore. It offers four distinct deployment methodologies—Starter Toolkit for speed, Direct Code for customization, Containerized for complex dependencies, and Terraform for robust infrastructure management. By implementing AWS-validated best practices such as arm64 architecture, session isolation, and built-in observability, this skill ensures your agents are scalable, secure, and easy to maintain through integrated CI/CD patterns.

주요 기능

• 0 GitHub stars
• Zero-infrastructure managed compute configuration for serverless agent execution
• Four deployment modes: Starter Toolkit, Direct ZIP, Docker Container, and Terraform
• Pre-configured CI/CD pipelines for GitHub Actions and GitLab CI
• Built-in observability patterns for CloudWatch and OpenTelemetry integration
• Optimized arm64 architecture deployment for high-performance AI workloads

사용 사례

• Deploying complex agents with custom system dependencies using Docker on ECR
• Migrating locally developed Python agents to a production AWS environment
• Automating agent versioning and blue-green deployments via CI/CD pipelines