Multi-Threading Is Not Always The Right Answer. Here's Why!

Learn to scale a server using Multithreading, Busy waiting and the Reactor pattern.

Photo by John Cameron on Unsplash

Modern software engineering is all about making applications efficient.

Concurrency is thus a critical aspect as modern applications perform multiple tasks simultaneously and maximize hardware utilization.

Let’s learn this better with an example.

We are opening up a small coffee shop and we build a mobile app through which users can place coffee orders online.

Let’s write a simple server that handles these order requests.

from socket import socket, create_server

BUFFER_SIZE = 1024
ADDRESS = ("127.0.0.1", 12345)

class CoffeeServer:
    def __init__(self):
        try:
            self.server_socket = create_server(ADDRESS)
            print("Coffee server started at:", ADDRESS)
        except OSError:
            print("\nCoffee server stopped.")

    def accept(self):
        conn, client_address = self.server_socket.accept…