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Unraveling the Threads: Event-Sourcing, CQRS, and Event-Driven Architecture

Talkat Øredev 2024 · 2024-11-06..11-08· [microservices, frontend-architecture]
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slides:none on file

Shows event sourcing implemented with an account example—four events (opened, deposit, withdraw, fee) projected to a balance—and explains event streams, optimistic concurrency and snapshotting tradeoffs. Demonstrates read/write separation patterns (CQRS), when to add async read projections and a message broker, and practical cautions: Event Store DB vs Kafka, the outbox pattern for broker outages, and why Kafka is not suitable as an event store; argues for pragmatic, incremental adoption rather than wholesale rewrites.

AI-written summary · about

  1. 0:00Introduction
  2. 3:38Event sourcing examples
  3. 18:50CQRS patterns
  4. 30:22Event-driven fundamentals
  5. 36:47Pitfalls and anti-patterns
  6. 40:20Best practices
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