Commander: Better Distributed Applications through CQRS and Event Sourcing

on YouTube ↗43m

" summary

Claims a concrete pattern and a working implementation: writes commands to Kafka, uses Kafka Streams for reactive processors, and Clojure in the HTTP layer with Datomic for persistence. The system records immutable commands (HTTP 202 async, optional sync true), business logic consumes commands and emits events, read-optimized views are built by micro-consumers, and the demo runs under load at scale for high transaction volumes and organization-wide auditing and analytics.

AI-written summary · about

" chapters (16)

1. 0:00Introduction
2. 1:38Bobbys background
3. 6:10Architecture
4. 8:49Event Sourcing
5. 9:51Data Loss by Design
6. 11:53Data Models
7. 13:13Rest
8. 14:19Conways Law
9. 16:44Command Architecture
10. 20:14Event Architecture
11. 21:27Secure Eyes
12. 22:46Primary Service Team
13. 25:52Command A Component
14. 29:12Demo
15. 34:06Summary
16. 37:15Announcement

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