Use Cases
Common Use Cases
- Serverless CRUD APIs
- Event-driven data processing
- Webhook handlers
- Scheduled data jobs
Before You Begin
Prerequisites
- AWS account
- AWS CLI configured
- Understanding of serverless architecture
Walkthrough
Step-by-Step Guide
1
Create DynamoDB Table
Set up a DynamoDB table with appropriate partition and sort keys.
2
Create Lambda Functions
Build Lambda functions for CRUD operations.
3
Wire Up API Gateway
Connect Lambda functions to API Gateway endpoints.
async function createItem(event) {
const body = JSON.parse(event.body);
await dynamodb.putItem({
TableName: "items",
Item: { id: { S: generateId() }, ...marshallItem(body), createdAt: { S: new Date().toISOString() } }
});
return { statusCode: 201, body: JSON.stringify({ message: "Created" }) };
}4
Add Error Handling
Implement proper error responses and DynamoDB conditional writes for concurrency.
5
Set Up Monitoring
Configure CloudWatch alarms for Lambda errors and DynamoDB throttling.
Examples
Code Examples
typescript
Query Handler
async function listItems(event) {
const { category } = event.queryStringParameters || {};
const params = { TableName: "items" };
if (category) {
params.IndexName = "category-index";
params.KeyConditionExpression = "category = :cat";
params.ExpressionAttributeValues = { ":cat": { S: category } };
const result = await dynamodb.query(params);
return { statusCode: 200, body: JSON.stringify(result.Items.map(unmarshallItem)) };
}
const result = await dynamodb.scan(params);
return { statusCode: 200, body: JSON.stringify(result.Items.map(unmarshallItem)) };
}Help
Troubleshooting
How do I handle cold starts?+
DynamoDB scans are slow+
Quick Info
DifficultyAdvanced
Time Estimate2 hours
Tools
AWS Lambda MCP ServerDynamoDB MCP Server