Pipeline for continuously ingesting and processing real-time data flows. Like a conveyor belt in a factory that moves items from one station to the next without stopping.
A ride-sharing app uses Amazon Kinesis Data Streams to capture millions of GPS location updates per second, routing them through processing stages that calculate ETAs, detect surge pricing zones, and update driver availability in real time.
All four services provide managed, scalable ingestion of streaming events (publish/subscribe). They commonly feed downstream stream processing (e.g., Flink/Spark) and storage/analytics systems to build end-to-end data streaming pipelines.