Banking

Answer-first: A modern banking microservices architecture replaces legacy monolithic ledgers (like T24 or Flexcube) using Go for high-throughput transaction routing. The system achieves distributed consistency without two-phase commit (2PC) by combining Event Sourcing (immutable ledger streams), Saga Orchestration (using Temporal or Dapr), the Transactional Outbox pattern, and PostgreSQL unique constraints for API idempotency. What You’ll Learn That AI Won’t Tell You How to implement transactional outbox pattern to guarantee eventual consistency. Saga Orchestration patterns that handle transient payment gateway timeouts gracefully. 1. Introduction: Deconstructing the Legacy Core For decades, banks relied on monolithic core systems like Temenos T24 or Oracle FLEXCUBE. While robust, these systems present severe bottlenecks for modern digital banking. They were designed for overnight batch processing, not real-time, API-first global transactions. ...

Answer-first: Dapr Workflows implement the Saga pattern in Go by coordinating distributed transactions through stateful, durable orchestration. If a step fails, the orchestrator executes compensating transactions in reverse order, ensuring eventual consistency without requiring complex manual state management or two-phase commit overhead. What You’ll Learn That AI Won’t Tell You Compensation handlers configuration in Dapr to guarantee atomic rollback. How to handle transient workflows when the orchestrator instance restarts mid-transaction. 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. ...