How does Kafka handle scalability?

How does Kafka handle scalability?

Kafka achieves scalability through partitioning, allowing multiple consumers to read from different partitions simultaneously.

What are partitions in Kafka?

Partitions are segments of a topic that allow Kafka to distribute data across multiple brokers, enhancing throughput.

Can I increase the number of partitions after creating a topic?

Yes, you can increase the number of partitions for a topic at any time, but it may affect data distribution.

What happens if a broker goes down?

If a broker goes down, Kafka's replication feature ensures that data remains available by redirecting requests to other brokers.