Have you ever had to configure partitions or re-distribute partitions in Kafka?

In Kafka, partitions are a way to split a topic into multiple parts for parallel processing and scaling. Setting up partitions involves choosing their number when creating a topic, which affects performance and parallelism.

Rebalancing of partitions occurs when the number of consumers in a group changes or when nodes fail. Kafka automatically redistributes partitions among available consumers to ensure load balancing.

In practice, frontend developers usually do not need to configure partitions directly; this is the task of Kafka administrators or backend engineers. However, understanding the concept is useful for interacting with systems that use Kafka.

If you have worked with Kafka, you could create topics with the required number of partitions via CLI or API, and also monitor rebalancing when the composition of consumers changes.