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How do you prepare a rollback plan for an AI application release?

Define how to restore service while accounting for data changes, active jobs, and external side effects.

How do you prepare a rollback plan for an AI application release?

A rollback plan should explain what can safely be reversed and what requires reconciliation. Reverting application code does not automatically undo database changes or published media.

Identify compatibility boundaries

Record the previous deployable version, configuration changes, schema changes, and worker/API contract compatibility. Prefer changes that allow old and new versions to coexist during rollout where practical. Decide what happens to queued and running jobs when a worker version changes.

Rehearse the recovery decision

Define the failures that justify rollback and who can perform it. Verify that the earlier version can read current data before relying on it. Keep external actions such as publication separately tracked because they may persist after rollback. Test recovery in a suitable non-production environment. A useful plan includes how to verify service restoration, not just the command that deploys an older artifact.

No. External side effects need their own tracking and recovery decisions.

A newer schema or data shape can prevent the old application from functioning correctly.

Follow an explicit compatibility and recovery plan rather than abandoning or duplicating them silently.

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