Understanding and Mitigating Message Loss in Apache Kafka

Apache Kafka, a popular distributed streaming platform, enables the building of scalable and fault-tolerant real-time data pipelines and applications. However, like any distributed system, Kafka is not immune to message loss, which can lead to data inconsistencies and impact system reliability.

In this article, we will explore the potential causes of message loss in Apache Kafka, focusing on producers, brokers, and consumers. We'll discuss scenarios such as improper acknowledgment settings, asynchronous disk flushing, replica synchronization issues, and the pitfalls of …

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