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Best practices for Kafka/RabbitMQ message brokering and event sourcing.
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| name | Event Driven Architecture |
| description | Best practices for Kafka/RabbitMQ message brokering and event sourcing. |
flowchart TD
A[Producer] --> B(Message Broker)
B --> C[Consumer 1]
B --> D[Consumer 2]
B --> E[(Event Store)]
package main
import (
"github.com/confluentinc/confluent-kafka-go/kafka"
"log"
)
func produceEvent(topic, message string) {
p, _ := kafka.NewProducer(&kafka.ConfigMap{"bootstrap.servers": "localhost"})
defer p.Close()
p.Produce(&kafka.Message{
TopicPartition: kafka.TopicPartition{Topic: &topic, Partition: kafka.PartitionAny},
Value: []byte(message),
}, nil)
p.Flush(15 * 1000)
log.Println("Event produced")
}