integration-architect

Saga orchestration coordinates distributed transactions by capturing state changes as events and publishing them to Kafka, ensuring reliable cross-service workflows with compensation logic for failures. You define workflows like TransferSaga triggered by specific events.

Debezium CDC captures row-level database changes and streams them into Kafka or AMQ topics, enabling durable event-driven integration across microservices without modifying application code or relying on dual-write patterns.

Exactly-once semantics are achieved by configuring transactional boundaries and idempotent producers and consumers in Kafka, ensuring event processing occurs precisely once even during cross-service workflow coordination and retries.

Yes, CloudEvents standardizes event metadata while Schema Registry enforces payload structure compatibility, allowing your Kafka streams to maintain evolvable and consistent event-driven contracts across distributed services.

Yes, the core-banking-engineer dependency provides the foundational domain services required before configuring durable cross-service workflows, CDC streams, and event sourcing for financial transfers and audit traces.

You should avoid event sourcing when your cross-service workflows do not require audit-ready operational traces or comprehensive state reconstruction, as the overhead of storing all state changes as Kafka events adds complexity.