Event Streaming

Event Streaming

Event streaming is a real-time data architecture where systems capture, process, and react to events the moment they occur. An event is any meaningful change in state, like a user clicking a button, a sensor detecting movement, or a transaction being made. These events are published by producers, routed through brokers (such as Apache Kafka), and consumed by listeners or consumers that trigger further actions. Unlike traditional batch processing or synchronous messaging, event streaming offers durable message retention (often via a distributed commit log), high horizontal scalability, and decoupled service communication. It enables use cases like real-time analytics, alerting, automation, and large-scale asynchronous workflows across industries ranging from IoT to finance. Modern ecosystems often use tools like Kafka, Flink, RabbitMQ, and Strimzi to power these streams. This architecture is a backbone for responsive, resilient, and scalable systems.

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