Deploy Amazon Bedrock AgentCore resources using CloudFormation templates, AWS CDK, or Terraform.
These Infrastructure as Code samples enable you to:
- Deploy AgentCore resources consistently across environments
- Automate infrastructure provisioning with Infrastructure as Code
- Maintain version control of your infrastructure
- Implement AWS best practices for security and monitoring
Choose your preferred approach:
- CloudFormation - YAML/JSON templates for declarative infrastructure
- CDK - Python or TypeScript code for programmatic infrastructure
- Terraform - HCL code for declarative infrastructure with state management
Deploy a simple AgentCore Runtime with a basic Strands agent - no additional tools or memory.
What it deploys:
- AgentCore Runtime with simple agent
- ECR Repository and automated Docker builds
- IAM roles with least-privilege policies
Use case: Learning AgentCore basics without complexity
Deployment time: ~5-15 minutes
Estimated cost: ~$50-100/month
Implementation: CloudFormation | CDK | Terraform
Deploy a complete MCP (Model Context Protocol) server with automated Docker building and JWT authentication.
What it deploys:
- AgentCore Runtime hosting MCP server
- Amazon Cognito for JWT authentication
- Automated ARM64 Docker builds
Sample MCP Tools: add_numbers, multiply_numbers, greet_user
Deployment time: ~10-15 minutes
Estimated cost: ~$50-100/month
Implementation: CloudFormation | CDK | Terraform
Deploy a multi-agent system where Agent1 (orchestrator) can invoke Agent2 (specialist) for complex tasks.
What it deploys:
- Two AgentCore Runtimes with agent-to-agent communication
- IAM roles with agent-to-agent invocation permissions
- Separate ECR repositories for each agent
Architecture: Agent1 routes requests and delegates to Agent2 for detailed analysis
Deployment time: ~15-20 minutes
Estimated cost: ~$100-200/month
Implementation: CloudFormation | CDK | Terraform
Deploy a complete weather-based activity planning agent with browser automation, code interpreter, and memory.
What it deploys:
- AgentCore Runtime with Strands agent
- Browser Tool for web scraping weather data
- Code Interpreter Tool for weather analysis
- Memory for storing user preferences
- S3 bucket for results storage
Features: Scrapes weather.gov, analyzes conditions, stores preferences, generates recommendations
Deployment time: ~15-20 minutes
Estimated cost: ~$100-150/month
Implementation: CloudFormation | CDK | Terraform
Before deploying any sample, ensure you have:
- AWS Account with appropriate permissions
- AWS CLI installed and configured
- Access to Amazon Bedrock AgentCore (preview)
- IAM Permissions to create:
- CloudFormation stacks (for CloudFormation samples)
- IAM roles and policies
- ECR repositories
- Lambda functions
- AgentCore resources
- S3 buckets (for weather agent)
For CDK samples, also install:
- Python 3.8+
- AWS CDK v2.218.0 or later
For Terraform samples, also install:
- Terraform >= 1.6 (recommend tfenv for version management)
- Note:
brew install terraformprovides v1.5.7 which is deprecated
04-infrastructure-as-code/
├── README.md # This file
├── cloudformation/ # CloudFormation samples
│ ├── README.md # CloudFormation-specific guide
│ ├── basic-runtime/
│ ├── mcp-server-agentcore-runtime/
│ ├── multi-agent-runtime/
│ └── end-to-end-weather-agent/
├── cdk/ # CDK samples (Python & TypeScript)
│ ├── README.md # CDK-specific guide
│ ├── python/ # Python CDK samples
│ │ ├── basic-runtime/
│ │ ├── mcp-server-agentcore-runtime/
│ │ ├── multi-agent-runtime/
│ │ └── end-to-end-weather-agent/
│ └── typescript/ # TypeScript CDK samples
│ └── knowledge-base-rag-agent/
└── terraform/ # Terraform samples
├── README.md # Terraform-specific guide
├── basic-runtime/
├── mcp-server-agentcore-runtime/
├── multi-agent-runtime/
└── end-to-end-weather-agent/