Rethinking Distributed Stream Processing in Apache Kafka

This post elaborates on consistency and completeness guarantees in stream processing, specifically within Apache Kafka and Kafka Streams, detailing how persistent logging, idempotent and transactional writes, and speculative processing with revision enable exactly-once semantics and ordered results even with out-of-order data. It highlights the decoupling of latency, throughput, and correctness trade-offs through Kafka's log-based approach.