Have you worked with queue systems and implemented interactions through them?

Yes, I have worked with queue systems to organize asynchronous interactions between services. In projects, I used tools such as RabbitMQ and Apache Kafka.

Main use cases:

• Sending messages to a queue for background task processing.
• Ensuring reliable message delivery between microservices.
• Load distribution and scaling of processing.

Example of a simple message sender in RabbitMQ using Go:

package main

import (
    "github.com/streadway/amqp"
    "log"
)

func main() {
    conn, err := amqp.Dial("amqp://guest:guest@localhost:5672/")
    if err != nil {
        log.Fatal(err)
    }
    defer conn.Close()

    ch, err := conn.Channel()
    if err != nil {
        log.Fatal(err)
    }
    defer ch.Close()

    q, err := ch.QueueDeclare(
        "task_queue",
        true,
        false,
        false,
        false,
        nil,
    )
    if err != nil {
        log.Fatal(err)
    }

    body := "Hello Queue"
    err = ch.Publish(
        "",
        q.Name,
        false,
        false,
        amqp.Publishing{
            DeliveryMode: amqp.Persistent,
            ContentType:  "text/plain",
            Body:         []byte(body),
        })
    if err != nil {
        log.Fatal(err)
    }

    log.Printf(" [x] Sent %s", body)
}

Thus, queue systems help build reliable and scalable distributed applications.