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Apache Kafka: How the Distributed Event Streaming Platform Powers Real-Time Data

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Apache Kafka is an open-source distributed event streaming platform originally developed at LinkedIn in 2010 and released to the public in 2011. It is designed to handle high-throughput, fault-tolerant data processing across multiple machines, making it capable of managing millions of messages per second. Kafka organizes data into topics and partitions, using leader-follower replication to ensure reliability and prevent data loss if a broker fails. Unlike traditional messaging systems, Kafka uses a pull-based consumer model, allowing consumers to retrieve and reprocess messages at their own pace. It is widely adopted in real-time pipelines, microservices architectures, fraud detection, IoT analytics, and cloud-native environments.

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Apache Kafka: How the Distributed Event Streaming Platform Powers Real-Time Data · ShortSingh