Temporal Workflow Engine: Key Practices for Distributed Systems in Production
Temporal is a durable execution engine designed to ensure multi-step processes run to completion even when workers crash mid-execution, making it popular for complex distributed systems. A software engineer with nearly a decade of experience building payment and banking infrastructure shares hard-won lessons for teams adopting Temporal in production. The engine works by recording every workflow step to an event history, allowing another worker to replay and resume from exactly where a failed one left off. A core rule is keeping all business logic and external calls inside activities rather than workflows, since workflow code must remain deterministic to support reliable replay. The author also warns against cross-service workflow orchestration, arguing it creates tight coupling between teams and can break in-flight workflows when activity schemas change.
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