Build scalable message processing with Kafka consumer groups and automatic rebalancing
Processing high-throughput message streams requires parallel processing across multiple consumers while ensuring message ordering and fault tolerance.
Use Kafka consumer groups to distribute partitions across multiple consumers, enabling horizontal scaling with automatic rebalancing when consumers join or leave.
const consumer = new Kafka({
clientId: 'app-consumer',
brokers: ['kafka:9092']
}).consumer({ groupId: 'payment-group' });
await consumer.subscribe({ topic: 'transactions' });
await consumer.run({ eachMessage: processor });