Integration / Apache Kafka Interview questions
Explain sequential I/O principle in Kafka.
Kafka uses sequential I/O as a primary design choice to achieve its high throughput and performance. By treating data as an append-only log, Kafka can leverage the optimal performance characteristics of both traditional hard disks (HDDs) and Solid State Drives (SSDs), avoiding the significant latency penalties associated with random disk access.
- High Throughput: Sequential writes enable Kafka to handle massive volumes of data (millions of messages per second) with very low latency.
- Cost-Effectiveness: It allows Kafka to use cheaper, high-capacity HDDs effectively, rather than requiring expensive, high-performance storage systems like specialized random-access databases might.
- Simplified Caching Logic: By offloading much of the data management to the OS page cache, Kafka avoids complex in-application caching logic, which can lead to high garbage collection overhead in the
Java Virtual Machine (JVM).
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