Eventstroom

Eventstroom refers to the sequence of events that capture state changes or noteworthy activities within a system. Each event typically includes a timestamp, a type, and a payload describing what happened. In an eventstream, events are produced by producers and consumed by one or more subscribers through a streaming platform or broker. The concept emphasizes append-only, time-ordered records that can be replayed, processed in real time, and used to synchronize state across services or to drive analytics.

Key concepts include streams or topics, partitions or shards for scalability, and durable storage to preserve events for later processing. Processing can be stateless or stateful and may involve transformations, aggregations, or enrichment performed by stream processors or microservices. Delivery guarantees vary from at-least-once to exactly-once, depending on the platform and configuration.

Common use cases are real-time analytics and monitoring, data integration between systems, event-driven microservices communication, and event sourcing, where application state is rebuilt from a sequence of events. Technologies commonly used to implement eventstrooms include Apache Kafka, Apache Pulsar, AWS Kinesis, and Google Cloud Pub/Sub, among others.

Best practices include careful schema management and evolution, handling late or out-of-order events, idempotent processing, backpressure handling, and maintaining secure, auditable histories of events.

See also: event-driven architecture, event sourcing, stream processing, message broker.