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Mastering Distributed Flows: Using State Transition Tables for Saga Orchestration

복잡한 분산 트랜잭션의 해법, 상태 전이 테이블로 구현하는 Saga Orchestrator

Why it matters

Managing consistency in microservices often leads to messy conditional logic and tight coupling. By employing a central orchestrator driven by a simple state transition table, developers can decouple routing from business logic, creating a highly maintainable and scalable event-driven system. This pattern provides a clean blueprint for handling complex rollbacks and success paths without nested if/else chains.

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Saga PatternKafkaMicroservices OrchestratorState Transition TableEvent-Driven Architecture

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