Disk I/O & Network Optimization

Kafka is a high-throughput, low-latency system. Its performance heavily depends on the underlying infrastructure: disk I/O and network bandwidth.

Optimizing these components is crucial for handling large volumes of data efficiently, ensuring your Kafka cluster can keep up with demand.

Kafka brokers store all messages on disk in immutable, ordered log files. This design ensures durability and allows consumers to read data at their own pace.

Kafka primarily performs sequential writes to these log files. Sequential I/O is much faster than random I/O, even on traditional Hard Disk Drives (HDDs).