Do you have experience with designing and implementing distributed applications or systems?

Yes, experience with distributed applications includes understanding the principles of interaction between components that run on different machines or processes.

Main aspects:

• Using network protocols (HTTP, gRPC, RPC) for communication.
• Ensuring data consistency and managing state (e.g., through databases, message queues).
• Handling failures and ensuring fault tolerance.
• Scaling components to improve performance.

In Python, tools such as Celery (for distributed task queues), ZeroMQ, RabbitMQ, and frameworks for microservices are often used to implement distributed systems.

Example of a simple distributed task with Celery:

from celery import Celery

app = Celery('tasks', broker='pyamqp://guest@localhost//')

@app.task
def add(x, y):
    return x + y

This code allows tasks to be run on remote workers, distributing the load.