Serverless Architecture with FastAPI
•By Alex Morgan
Leveraging AWS Lambda (and friends) for truly auto-scaling Python microservices.
Building serverless applications with FastAPI enables unprecedented scalability with minimal operational overhead. This guide covers best practices for developing and deploying serverless Python APIs.
Lambda Function Design Patterns
Learn how to structure FastAPI applications for Lambda execution, including:
- Cold start mitigation techniques
- Proper use of Lambda layers
- Connection pooling for databases
- Stateless application design
Event-Driven Architecture
Integrate with AWS EventBridge for decoupled communication between services. We'll build a complete order processing system using:
@app.post("/orders")
async def create_order(order: Order):
# Process payment
await event_bridge.publish(
DetailType="OrderCreated",
Detail=order.json()
)
Infrastructure as Code
Deploy using AWS CDK with best practices:
const api = new apigateway.RestApi(this, "OrdersApi");
const lambdaIntegration = new apigateway.LambdaIntegration(handler);
api.root.addResource("orders").addMethod("POST", lambdaIntegration);
Performance Optimization
Techniques to reduce latency:
- Compression middleware configuration
- Selective middleware execution
- Binary responses for efficient payloads
- Right-sizing memory allocation
By the end, you'll be able to deploy high-performance FastAPI applications that scale automatically with demand.