Building Event-Driven Microservices - Chapter 6 - Deterministic Stream Processing
Deterministic Stream Processing is a foundation for building scalable event-driven systems. The lack of determinism can be very painful for the business (imagine lost financial transactions, missed alerts, wrong data aggregation).
There are certain tips and tricks on how to implement determinism. Keywords are:
Timestamps Event Scheduling Watermarks Stream Time Also you should understand the nature of Out-of-Order and Late-Arriving Events. And strategies for handling them.
Also need to support reprocessing.