Understanding Spring State Machine Using Proper Use Cases
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V6I4P117Keywords:
Spring State Machine, State Machine, State Charts, Hierarchical States, Guards, Actions, Event Driven Architecture, EMV Payments, Fueling Workflow, ObservabilityAbstract
Spring State machine turns temporal business logic into explicit, testable models. This paper shows how to design and operate real workflows with hierarchical states, guards, and actions, using a fuel‑retail case where reliability, safety, and latency is paramount. We present an architecture that isolates domain logic behind ports/adapters (EMV/acquirer, dispenser, receipt), persists context for recovery, and exposes rich observability through metrics, structured logs, and traces. The case study follows the full card‑present journey, card read, authorization, pump enablement, fueling, EOT computation, and receipt, highlighting idempotence, compensations, and controlled concurrency. Performance measurements quantify transition latency and memory footprint under Redis and JPA persistence. We close with guidance on testing, model versioning, and safe evolution so teams can replace brittle conditional flows with diagrams that act as living documentation and an executable contract
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References
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