Amazon Bedrock AgentCore Deployment

Overview

Deploy AI agents to Amazon Bedrock AgentCore using multiple approaches: starter toolkit for rapid deployment, direct code deployment for customization, and container deployment for complex dependencies. Includes CI/CD patterns and infrastructure as code.

Purpose: Deploy agents from development to production with best practices

Pattern: Workflow-based (4 deployment methods)

Key Principles (validated by AWS December 2025):

1. Zero Infrastructure - Managed compute, no servers to manage
2. arm64 Architecture - All deployments use arm64
3. Session Isolation - Complete isolation between sessions
4. Multiple Entry Points - SDK decorator or REST endpoints
5. Observability Built-in - CloudWatch and OTel integration
6. Framework Agnostic - Works with any Python agent framework