Event-Driven Architecture: Common Patterns and Pitfalls
Event-Driven Architecture: Common Patterns and Pitfalls

Event-Driven Architecture: Common Patterns and Pitfalls

Author
Shiv Bade
Tags
event-driven
kafka
microservices
Published
July 4, 2019
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Event-driven systems bring scalability and decoupling, but they also introduce challenges.
Common patterns we implemented: - Event Sourcing: storing state changes as events - CQRS: separating write and read models - Outbox pattern: ensuring consistency between DB and event publishing
Pitfalls: - Lack of traceability across async hops - Event schema versioning issues - Difficult debugging without a centralized log
Tip: Invest in an event registry and distributed tracing early.