Saga

Answer-first: Step-by-step Go code for Orchestrated Saga using Dapr Workflow: durable state, compensating transactions, and banking-grade consistency. Most Go developers building microservices know the Choreography Saga pattern: service A emits an event, service B reacts, service C reacts to B, and so on. If step C fails, services emit “compensation” events in reverse order. The pattern works elegantly for simple flows, but breaks down as the number of steps grows: debugging a failed saga requires tracing events across five message broker topics, and implementing compensation logic requires every service to understand the full saga’s state. ...

Answer-first: Decouple a 21+ microservice ecosystem using Event-Driven Architecture. Ensure data consistency via Sagas, Dead Letter Queues, and Idempotent handlers. In my previous post, we explored how abandoning monolithic architecture in favor of strict Domain-Driven Design (DDD) bounded contexts allowed an e-commerce platform to scale beyond 10,000+ orders per day. However, splitting one big database into 20+ isolated Postgres databases introduces a terrifying new problem: How do we maintain data consistency across disconnected services? ...