Does FastAPI Work With AWS?

Fully CompatibleLast verified: 2026-02-20

FastAPI works excellently with AWS—deploy it on Lambda, EC2, ECS, or App Runner and integrate with AWS services for a production-ready serverless or containerized backend.

Quick Facts

Compatibility
full
Setup Difficulty
Easy
Official Integration
No — community maintained
Confidence
high
Minimum Versions
FastAPI: 0.68.0

How FastAPI Works With AWS

FastAPI integrates seamlessly with AWS through multiple deployment paths. The most popular approach is AWS Lambda using Mangum (ASGI adapter) to wrap the FastAPI application, enabling serverless execution with API Gateway as the HTTP trigger. For container-based deployments, FastAPI runs on ECS, App Runner, or EC2 with standard Docker containerization. AWS SDK (boto3) integrates naturally for accessing S3, DynamoDB, SQS, and other services. The developer experience is smooth—write FastAPI code normally, then deploy via CDK, CloudFormation, or the AWS console. Architecture considerations include cold start latency for Lambda (mitigated by provisioned concurrency), setting appropriate IAM roles for boto3 calls, and managing environment variables for API keys. FastAPI's automatic OpenAPI documentation works great for documenting AWS-backed APIs, and request/response validation happens before hitting AWS services, reducing unnecessary calls.

Best Use Cases

Serverless REST APIs with Lambda + API Gateway, scaling automatically with zero infrastructure management
Real-time data processing pipelines using SQS triggers to invoke FastAPI functions for message processing
Content management systems with S3 integration for file uploads and DynamoDB for metadata storage
Multi-tenant SaaS backends with Cognito authentication and cross-service communication via boto3

FastAPI on AWS Lambda with Mangum

bash
pip install fastapi mangum boto3
python
from fastapi import FastAPI
from mangum import Mangum
import boto3

app = FastAPI()
s3_client = boto3.client('s3')

@app.get("/")
async def read_root():
    return {"message": "Hello from AWS Lambda"}

@app.get("/buckets")
async def list_s3_buckets():
    response = s3_client.list_buckets()
    return {"buckets": [b['Name'] for b in response['Buckets']]}

@app.post("/upload")
async def upload_file(bucket: str, key: str, data: str):
    s3_client.put_object(Bucket=bucket, Key=key, Body=data)
    return {"status": "uploaded", "bucket": bucket, "key": key}

# Handler for AWS Lambda
handler = Mangum(app)

Known Issues & Gotchas

warning

Lambda cold starts cause 1-5 second delays on first invocation; users experience slow initial requests

Fix: Use Lambda Provisioned Concurrency or switch to App Runner/ECS for consistently warm instances. Alternative: implement caching and async patterns.

critical

Mangum doesn't support WebSocket properly in Lambda (API Gateway v1); real-time features break

Fix: Use WebSocket-compatible deployment (ECS, App Runner) or API Gateway v2 with proper Mangum configuration for asyncio.

critical

IAM permission errors silently fail during boto3 calls if roles aren't configured correctly

Fix: Attach proper IAM policies to Lambda execution role; test with AWS CloudTrail logs to debug permission denials.

critical

FastAPI debug=True leaks sensitive information in production; AWS Lambda environments expose stack traces publicly

Fix: Always set debug=False in production; use environment variables to toggle settings based on deployment stage.

Alternatives

  • Flask + Zappa on AWS Lambda (older, less features than FastAPI)
  • Node.js Express with AWS Amplify (better for TypeScript; similar serverless workflow)
  • Django on AWS Elastic Beanstalk (heavier, more batteries-included, better for monoliths)

Resources

Related Compatibility Guides

Explore more compatibility guides