Fixing bugs in Event Sourcing is hard, for real?

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A practical walkthrough of how bugs manifest differently in state-based vs. event-sourced systems, using a hotel reservation pricing bug as a concrete example. In a mutable state system, a buggy migration overwrites the evidence needed to fix it, leading to cascading corrections. With event sourcing, the original inputs are preserved in the event stream, enabling precise identification of affected records via build SHA metadata, safe forward-only corrections via corrective events, and detection of reservations already manually handled. Key recommendations include storing build SHA in event metadata, appending corrective events rather than editing history, and modeling correction operations as first-class domain commands with permissions and audit trails.

14m read timeFrom event-driven.io
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The bugWhat we have, with stateWhat that migration doesAnd then migration number twoThe same bug, event-sourcedKnowing which events to look atFix forward, don’t rewriteIf we get the correction wrong tooThe customer already fixed itMake the correction a feature“But now the history contains a bug”
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