Why Event-Driven Systems Can Silently Lose Work and Never Log It

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A fundamental blind spot exists in event-driven and no-code automation platforms: when a trigger silently fails or an event is dropped before a run is created, no error is logged because there is nothing to log. Additionally, platforms evaluate step success based on HTTP transport status, meaning an API returning 200 OK with an embedded error in the response body is recorded as a success. A developer spent several months measuring silent failure rates on no-code automation platforms and documented a reproducible measurement methodology. The proposed method relies on three external records — an event log, a receipt from each workflow step, and a send-outcome record — reconciled by a unique run ID preserved end-to-end. Because totals can match even when the wrong individual records are missing, per-event reconciliation is essential to accurately detect silent failures.

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