Production deployments failing due to database conflicts is a hallmark of scaling pains. The scenario is universally frustrating: A deployment pipeline turns red because a migration script failed. The error log reveals that an index idx_users_email already exists, or a column constraint is stricter than expected. The root cause isn't bad code; it is Schema Drift . Schema drift occurs when the actual state of your live database diverges from the "desired state" defined in your version control system. This article details how to architect a "Drift Detection" stage in your CI/CD pipeline to catch these discrepancies before they block a release. The Root Cause: The Illusion of Authority To fix drift, we must understand why it happens. In a perfect DevOps world, the Git repository is the Single Source of Truth (SSOT). Every database change—DDL (Data Definition Language) or DML (Data Manipulation Language)—originates from a committed migration script. However, ...
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