Describe your experience with message brokers or data queues in projects.

In my projects, I used message brokers such as RabbitMQ and Apache Kafka to organize asynchronous data exchange between microservices. For example, with RabbitMQ, I configured queues and exchanges to handle background tasks, which helped unload the main application flow and increase scalability.

Example of using RabbitMQ with Node.js:

const amqp = require('amqplib');

async function sendMessage() {
  const connection = await amqp.connect('amqp://localhost');
  const channel = await connection.createChannel();
  const queue = 'task_queue';
  const msg = 'Hello World';

  await channel.assertQueue(queue, { durable: true });
  channel.sendToQueue(queue, Buffer.from(msg), { persistent: true });

  console.log(" [x] Sent '%s'", msg);
  setTimeout(() => {
    connection.close();
    process.exit(0);
  }, 500);
}

sendMessage();

This approach ensures reliable message delivery, queue processing order, and fault tolerance.