Data Flow Radio
Avsnitt

What Happens When Your Integration Runs Twice? (Idempotency Explained)

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Most integrations don’t fail because they break. They fail because they run twice.

In this episode of Data Flow Radio, I breaks down idempotency, one of the most critical yet overlooked concepts in integration engineering. You’ll learn why retries are inevitable in distributed systems, how duplicate transactions silently corrupt data, and how senior engineers design integrations that remain correct no matter how many times they execute.

Through real-world examples like payment systems, Salesforce integrations, and financial workflows, this episode explains how idempotency protects your data, your systems, and your engineering reputation.

If you design integrations, this is not optional knowledge. It’s foundational.

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