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.

And need to consider Intermittent Failures.

All of these is disclosed in the Chapter 6 of the book we are currently studying:

“Building Event-Driven Microservices: Leveraging Organizational Data at Scale” by Adam Bellemare

Sharing my mind map with all the details as usual:

Download full mind map (PDF)