Event Streaming

Event streaming is the continuous capture, transmission, and processing of event records in real time through a distributed log — Apache Kafka being the dominant platform. Each event (transaction completed, sensor reading, user action) is appended to a durable, ordered log that multiple consumers can read independently at their own pace.

Kafka-based event streaming decouples producers from consumers: the system that generates events does not need to know which AI agents or analytics systems will consume them. This makes event streaming the backbone of real-time AI pipelines in financial services, logistics, and IoT. Common AI use cases include real-time fraud scoring, dynamic pricing, supply chain alerting, and customer behavior analysis fed into personalization models.