Introduction
Kafka splits data into parts called partitions to spread the load and keep things fast. Choosing how many partitions to use helps balance speed and resource use.
When you want to increase how many messages Kafka can handle at the same time.
When you need to make sure your data is spread evenly across servers.
When you want to add more consumers to read data in parallel.
When you want to control how data is ordered within a topic.
When you plan to scale your Kafka cluster smoothly as your app grows.