Tell us about your experience using RabbitMQ in projects.

In Python projects, I used RabbitMQ as a message broker to organize asynchronous interaction between services. This allowed to offload main processes, increase scalability, and system reliability.

Main usage scenarios:

• Sending tasks to a queue for background processing (e.g., image processing, email sending).
• Implementing the Pub/Sub pattern for broadcasting events to multiple subscribers.
• Load balancing among multiple workers.

Example using the pika library:

import pika

connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()

channel.queue_declare(queue='task_queue', durable=True)

channel.basic_publish(
    exchange='',
    routing_key='task_queue',
    body='Hello World!',
    properties=pika.BasicProperties(
        delivery_mode=2,  # make the message persistent
    ))

print(" [x] Sent 'Hello World!'")
connection.close()

RabbitMQ helps build reliable distributed systems with clear responsibility separation between components.