Hosting FastAPI on AWS Lambda
Faster API development and deployment is a top priority for many developers today. FastAPI, a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints, provides an easy and efficient solution for building APIs. In this article, we will discuss how to host a FastAPI application on AWS Lambda, a serverless computing service that allows you to run code without provisioning or managing servers.
Step 1: Set up a FastAPI application
First, you need to create a FastAPI application. You can create a new project with FastAPI using the command:
$ pip install fastapi
$ pip install uvicorn
$ touch main.py
Then, you can write a simple FastAPI application in the main.py file.
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
async def read_root():
return {"Hello": "World"}
Step 2: Deploy the application to AWS Lambda
Next, you need to deploy the FastAPI application to AWS Lambda. AWS provides a tool called AWS Serverless Application Model (SAM) that makes it easy to deploy serverless applications to AWS Lambda. You can define your FastAPI application as an AWS Lambda function in a SAM template and deploy it using the AWS Command Line Interface (CLI).
Step 3: Set up the API Gateway
After deploying the FastAPI application to AWS Lambda, you need to set up an API Gateway to route requests to your Lambda function. The API Gateway provides an HTTP API endpoint that can be used to invoke your FastAPI application. You can configure the API Gateway using the AWS Management Console or the AWS CLI.
Step 4: Test your FastAPI application
Once the FastAPI application is deployed and the API Gateway is set up, you can test your API by making requests to the API Gateway endpoint. You can use tools like Postman or cURL to send HTTP requests to the API Gateway endpoint and see the responses from your FastAPI application.
Conclusion
Hosting FastAPI on AWS Lambda provides a flexible and scalable solution for building and deploying high-performance APIs. With the combination of FastAPI and AWS Lambda, you can create and run APIs without the need to manage servers, allowing you to focus on your application code and deliver faster, more reliable APIs to your users.
Hi,
I have created a simple FastAPI and deployed it on AWS Lambda it works fine but when I am trying to make it an API using AWS API gateway it gives me the following error.
{"errorMessage": "The adapter was unable to infer a handler to use for the event. This is likely related to how the Lambda function was invoked. (Are you testing locally? Make sure the request payload is valid for a supported handler.)", "errorType": "RuntimeError", "requestId": "eff02d91-feeb-45ba-b9cf-ad1e93dd4e7d", "stackTrace": [" File "/opt/python/mangum/adapter.py", line 76, in __call__n handler = self.infer(event, context)n", " File "/opt/python/mangum/adapter.py", line 68, in infern raise RuntimeError( # pragma: no covern"]}
and below is my simple code which runs on Lambda perfectly fine
from fastapi import FastAPI
from mangum import Mangum
from pydantic import BaseModel
app = FastAPI()
@app.get("/")
def hello():
return "Hello AWS"
handler = Mangum(app)