Apache Kafka is a high-throughput distributed messaging system designed for real-time data pipelines, offering durability, scalability, and fault tolerance. Its architecture includes brokers, topics, partitions, producers, consumers, and metadata management through ZooKeeper or KRaft, enabling robust event-driven systems.
This matters to developers as it provides a scalable solution for handling large volumes of streaming data with minimal latency and ensures no data loss. Developers should focus on optimizing partitioning strategies and replication factors to balance throughput and fault tolerance effectively.
Read the full article at Towards AI - Medium
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