The Apache Kafka, a distributed event streaming technology, can process trillions of events each day and eventually demonstrate its tremendous throughput and low latency. That’s building trust and over 80% of Fortune 100 businesses use and rely on Kafka. To develop high-performance data pipelines, streaming analytics, data integration, etc., thousands of companies presently use Kafka around the globe. By leveraging the zero-copy principle, Kafka improves efficiency in terms of data transfer. In short, when doing computer processes, the zero-copy technique is employed to prevent the CPU from being used for data copying across memory regions. Additionally, it removes pointless data copies, conserving memory bandwidth and CPU cycles.
Broadly, the zero-copy principle in Apache Kafka refers to a technique used to improve the efficiency of data transfer between producers and consumers by minimizing the amount of data copying performed by the operating system. By minimizing the CPU and memory overhead involved in copying data across buffers, the zero-copy technique can be very helpful for high-throughput, low-latency systems like Kafka.