Have you used CDC (e.g., Debezium), message queues, or task schedulers for data synchronization?

Yes, I have used CDC (Change Data Capture) and message queues for data synchronization between services.

CDC, for example with Debezium, allows tracking changes in the database in real-time and broadcasting them to other systems via events. This is useful for building reactive architectures and ensuring data consistency.

Message queues (e.g., Kafka, RabbitMQ) help organize asynchronous data exchange and offload systems.

An example of using Kafka in Go:

package main

import (
    "fmt"
    "github.com/segmentio/kafka-go"
    "context"
)

func main() {
    r := kafka.NewReader(kafka.ReaderConfig{
        Brokers: []string{"localhost:9092"},
        Topic:   "db-changes",
        GroupID: "sync-service",
    })

    for {
        m, err := r.ReadMessage(context.Background())
        if err != nil {
            fmt.Println("error reading message:", err)
            break
        }
        fmt.Printf("received: %s\n", string(m.Value))
        // here you can process the change and synchronize data
    }
}

I also used task schedulers (e.g., cron) for periodic synchronization when regular data state checks are needed.