Event-Driven Architecture
A system design where components react to events as they are published, rather than asking each other for updates on a schedule.
In an event-driven architecture, something happens, a message describing it is published, and everything that cares reacts. The alternative - request-driven design - has each component ask the others what changed, which means the system's speed is capped by how often it remembers to ask. For anything real time, that interval is a queue whether or not anyone calls it one, which is the core argument for a streaming API over repeated polling.
The design brings its own obligations. Consumers must tolerate events arriving out of order and occasionally twice, which makes idempotency a requirement rather than a nicety, and it makes the delivery guarantee a contract worth reading. Handled well, an event-driven pipeline reacts in the time it takes to process one record; handled badly, it fails in ways a batch job never would, and quietly.
Real-time data, at edge speed.
A live evaluation measures EdgeOrigin against your coverage requirements: decision-ready real-time data, delivery latency into your systems, and record-level provenance.