In an event-driven microservices architecture, services communicate asynchronously by publishing and consuming events, rather than making direct API calls. These events are transmitted through a streaming platform such as Apache Kafka or AWS Kinesis.

Each microservice listens for relevant events and reacts accordingly—triggering actions like updating a database, invoking downstream services, or processing business logic. Snowplow plays a key role by capturing real-time, high-fidelity event data that microservices can consume to drive personalization, monitoring, fraud detection, and other real-time functions.