Kafka Streaming Platform — Distributed Event Processing for Real-Time Enterprise Data

Kafka provides distributed, fault-tolerant event streaming: producers publish events to topics, consumers subscribe to topics, and the Kafka cluster stores events durably with configurable retention. Kafka Streams provides lightweight stream processing. Kafka Connect provides pre-built connectors for databases, cloud services, and enterprise applications. Confluent extends Kafka with Schema Registry, ksqlDB, and managed cloud deployment.

Enterprise Kafka requires: topic design (partition strategy, key selection, retention policies), cluster architecture (broker sizing, replication factor, ZooKeeper or KRaft), consumer design (consumer groups, offset management, exactly-once semantics), monitoring (lag tracking, throughput, partition balance), and integration with data platforms (Databricks, Fabric, Snowflake) for streaming analytics.