Demystifying "event-based" software concepts and methodologies

on YouTube ↗01h 12m

" summary

Clear definitions and concrete tooling: events are immutable notifications and storing them (vs state) lets you replay to rebuild aggregate state; architectures mapped: event notification, event-carried state transfer, event streaming and true event sourcing with an append-only event store that supports snapshots, partitioning, upcasters and replay. Claims: Axon Server pairs a message router + embedded event store (gRPC, free/cloud tiers) and Axon Framework provides Java JVM APIs for command/query/event handlers, unit-of-work ordering, scatter/gather and subscribing queries, encryption-for-GDPR key deletion, and a given/when/then test kit.

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" chapters (29)

1. 0:00Event-driven systems intro
2. 1:49State vs events storage
3. 4:19Defining events immutability
4. 6:09Event storming modeling
5. 8:15Event modeling blueprint
6. 10:23Producers consumers routing
7. 12:27Event-driven marketing term
8. 13:30Notifications not drivers
9. 14:52Notification vs state transfer
10. 16:59Event streaming source of truth
11. 20:49Event sourcing rebuild state
12. 23:19Event store characteristics
13. 26:53Snapshotting partitioning
14. 29:49Passive aggressive events
15. 33:05Commands queries CQRS
16. 35:57Read write models CQRS
17. 39:33ES CQRS DDD together
18. 40:59Axon Server Axon Framework
19. 43:50Microservices from monoliths
20. 46:22Q&A Axon Server
21. 50:12GDPR in event stores
22. 52:18Locking sequence guarantees
23. 56:14Schema migration upcasting
24. 58:19Invalid events handling
25. 1:01:55Snapshots in event stores
26. 1:03:41Query scatter-gather patterns
27. 1:05:31When to use event-driven
28. 1:08:39Learning event-driven resources
29. 1:09:42Unit testing event architectures

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