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Apache Kafka
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Apache Kafka
Core details
Title
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Description
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Apache Kafka is a distributed event streaming platform for high-throughput, fault-tolerant pub/sub messaging, used for data pipelines and real-time processing. It stores streams durably with partitions for scalability.
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Usage & Trade-offs
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When to use it
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Use Kafka when: - Building event-driven architectures. - Handling massive data streams. - Decoupling services with durability. - Real-time analytics or logs.
Pros
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- Horizontal scaling to petabytes. - Exactly-once semantics. - Ecosystem (Kafka Streams, Connect). - Low latency for publishes. - Multi-subscriber support.
Cons
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- Complex ops and cluster management. - High resource needs. - Learning Zookeeper/KRaft. - No built-in querying. - Overkill for simple queues.
Notes
Note: Tune partitions for parallelism. Use idempotent producers. Monitor with Kafka Manager.
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