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Designing a Reliable Data Synchronization Layer: Idempotency, Ownership, and Observability

↗ Quelle (dzone.com)
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In a lot of organizations, the real integration platform is a person. Someone exports orders from the ERP every morning and pastes them into the planning tool. Someone else re-types customer updates from the CRM into the invoicing system. It works until that person is on holiday or makes a typo in a price field or the volume doubles.


Replacing that manual work with a synchronization service sounds like a junior-level task: read from system A, write to system B, schedule it, done. In practice, sync services are where many integration projects quietly fail. They fail not because moving data is hard, but because the edge cases are partial failures, retries that duplicate records, two systems that both think they own a field, and errors that nobody notices for three weeks.

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Ausführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf dzone.com.
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