---
title: "Claude Code AWS Cloud Native"
description: "Streamlines AWS cloud-native development with Lambda, DynamoDB, API Gateway, and serverless architecture."
category: "configuration"
tags: ["claude-code", "aws", "cloud-native", "serverless", "lambda", "dynamodb", "api-gateway", "cloudformation", "s3"]
tech_stack: ["aws", "lambda", "dynamodb", "api-gateway", "cloudformation", "s3", "serverless-framework"]
---

AWS offers a fantastic setup for building serverless applications, and it features tools like Lambda functions, the DynamoDB NoSQL database, and API Gateway. Let’s break down how to get started with this cloud-native configuration.

### Configuration Overview
This configuration helps you create scalable serverless applications on AWS. With Lambda, DynamoDB, and API Gateway, you achieve great resource management while keeping operational costs low.

### Prerequisites
Before diving in, make sure you have:

- **AWS Account**: You need an active AWS account with the right permissions.
- **AWS CLI**: Install version 2.x and configure it.
- **Node.js**: Version 14.x or higher is necessary.
- **Serverless Framework**: Install it using npm with the command `npm install -g serverless`.
- **IAM Permissions**: Your IAM user should have access to Lambda, DynamoDB, API Gateway, CloudFormation, and S3.

### Installation & Setup
Let’s get everything set up step by step.

1. **Install AWS CLI**:
   For macOS, run:
   ```bash
   brew install awscli
   ```
   For Ubuntu, use:
   ```bash
   sudo apt-get install awscli
   ```

2. **Configure AWS CLI**:
   Run the following command:
   ```bash
   aws configure
   ```
   Here, input your AWS Access Key, Secret Key, region, and output format.

3. **Create a new Serverless service**:
   Execute:
   ```bash
   serverless create --template aws-nodejs --path my-service
   cd my-service
   ```

4. **Install dependencies**:
   Run:
   ```bash
   npm install
   ```

5. **Configure `serverless.yml`**:
   Update your `serverless.yml` file with the following configuration:
   ```yaml
   service: my-service
   provider:
     name: aws
     runtime: nodejs14.x
     region: us-east-1
   functions:
     hello:
       handler: handler.hello
       events:
         - http:
             path: hello
             method: get
   resources:
     Resources:
       MyDynamoDBTable:
         Type: AWS::DynamoDB::Table
         Properties:
           TableName: MyTable
           AttributeDefinitions:
             - AttributeName: id
               AttributeType: S
           KeySchema:
             - AttributeName: id
               KeyType: HASH
           ProvisionedThroughput:
             ReadCapacityUnits: 1
             WriteCapacityUnits: 1
   ```

6. **Deploy the service**:
   Launch your service with:
   ```bash
   serverless deploy
   ```

### File Structure
Here's what your project structure should look like:
```
my-service/
├── handler.js
├── serverless.yml
├── package.json
└── node_modules/
```

### Key Configuration Files
- **`serverless.yml`**: This is your main configuration file where you define the service, functions, and resources.
- **`handler.js`**: This file contains the logic for your Lambda function.
```javascript
'use strict';

module.exports.hello = async (event) => {
  return {
    statusCode: 200,
    body: JSON.stringify(
      {
        message: 'Hello from Lambda!',
        input: event,
      },
      null,
      2
    ),
  };
};
```

### Advanced Options
You can also explore some advanced features:

- **Environment Variables**: Manage sensitive data by using `environment` in `serverless.yml`.
- **Provisioned Concurrency**: To minimize cold starts for critical functions, enable provisioned concurrency.
- **Monitoring**: Set up AWS CloudWatch to monitor and log function performance.

### Troubleshooting
If you run into issues, here are some tips:

- **Deployment Errors**: If you see access denied errors, check your IAM permissions.
- **Cold Start Latency**: For functions that are accessed frequently, consider using provisioned concurrency.
- **API Gateway Errors**: Verify that your integration settings in `serverless.yml` are correct.

### Best Practices
To keep your project running smoothly, follow these practices:

- **Version Control**: Use Git to manage versioning for your service.
- **Modular Functions**: Break larger functions into smaller, reusable components.
- **Infrastructure as Code**: Regularly update your `serverless.yml` to reflect your current architecture.

### Performance Tuning
For better performance, consider these adjustments:

- **Optimize Lambda Memory**: Change memory allocation based on your performance tests.
- **DynamoDB Indexing**: Use Global Secondary Indexes (GSI) for more efficient querying.
- **S3 Lifecycle Policies**: Set up lifecycle policies to manage your storage effectively.

With these clear steps, you can easily set up a powerful AWS cloud-native development environment tailored for serverless applications.