<ul><li>Apache Kafka was designed to be the backbone of event-driven architecture, offering high-throughput, fault-tolerant, distributed streaming.</li><li>Initially, Kafka worked well, allowing producers to send events and consumers to read them reliably for various purposes like analytics and sync services.</li><li>However, a significant mistake was made regarding replaying messages from Kafka, leading to the loss of millions of messages when a downstream system dropped them due to a faulty deployment.</li><li>This incident highlights the importance of understanding the complexities and risks associated with rewinding Kafka logs to prevent costly mistakes.</li></ul>

Kafka: The Mistake That Cost Us Millions in Event Replays

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