Creating event-driven microservices: the why, how and what

on YouTube ↗42m

" summary

Explains how an event backbone replaces chatty REST chains by using Apache Kafka as the source of truth, demonstrating compaction to represent DB rows, change data capture via Kafka Connect/Debezium to stream existing databases, and consumer groups plus partition keys to preserve per-order ordering and scale event sourcing. Covers sagas for distributed transactions, CQRS for read-optimized views, and Kafka Streams for inline enrichment, notes production topology needs three or more brokers and careful handling of eventual consistency.

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" chapters (15)

1. 0:00Introduction to Kafka
2. 1:32The problem with monoliths
3. 3:37Event-centric architecture
4. 6:58Event backbone overview
5. 8:36Messaging vs streaming
6. 11:32Shipping example scenario
7. 16:14Database per service pattern
8. 18:25Implementing sagas
9. 22:02Event sourcing principles
10. 25:12CQRS explained
11. 27:28Kafka features
12. 30:02Compaction and CDC
13. 32:47Scalable consumption
14. 36:41Kafka streams and closing
15. 40:09Q&A session

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