What are the advantages of using FastAPI in systems that require horizontal scaling?

FastAPI has several advantages for systems with horizontal scaling:

• High performance: FastAPI is built on the asynchronous framework Starlette and uses Pydantic for validation, ensuring fast request processing.

• Asynchronous: Allows efficient use of server resources, handling many requests simultaneously, which is important for scaling.

• Ease of deployment: FastAPI easily integrates with containers and orchestrators (e.g., Kubernetes), simplifying scaling.

• Automatic documentation: Facilitates support and development of APIs in distributed teams.

Example of a simple FastAPI application:

from fastapi import FastAPI

app = FastAPI()

@app.get("/items/{item_id}")
async def read_item(item_id: int):
    return {"item_id": item_id}

Such an application is easy to scale by running multiple instances and distributing the load through a load balancer.