What should a rollback plan include?

What should a rollback plan include?

• A. Preconditions, artifact versions, steps to revert, data migration considerations, and verification checks.
• B. Only the rollback is to re-deploy the latest version.
• C. Rollback plans are optional in modern deployments.
• D. Rollback means deleting all data and starting over.

Answer: (A)

A rollback plan should be a complete, actionable blueprint that lets you safely revert a deployment to a known good state if something goes wrong. It should specify the conditions or preconditions for triggering a rollback, the exact artifact versions to roll back to, the precise steps to perform the rollback, how to handle any data migrations or backouts that occurred with the deployment, and the verification checks to confirm the system is healthy again after the rollback. This combination matters because it provides clear guidance, reduces guesswork under pressure, protects data integrity, and helps you validate that the system is back to the desired state. Choosing only to re-deploy the latest version misses the critical safety net of a defined revert path and the necessary checks to ensure a stable state. Treating rollback plans as optional ignores the real-world need for prepared procedures when deployments fail. And thinking rollback means deleting all data and starting over contradicts the goal of returning to a known good, usable state with data preserved and system functionality restored.

A rollback plan should be a complete, actionable blueprint that lets you safely revert a deployment to a known good state if something goes wrong. It should specify the conditions or preconditions for triggering a rollback, the exact artifact versions to roll back to, the precise steps to perform the rollback, how to handle any data migrations or backouts that occurred with the deployment, and the verification checks to confirm the system is healthy again after the rollback. This combination matters because it provides clear guidance, reduces guesswork under pressure, protects data integrity, and helps you validate that the system is back to the desired state.

Choosing only to re-deploy the latest version misses the critical safety net of a defined revert path and the necessary checks to ensure a stable state. Treating rollback plans as optional ignores the real-world need for prepared procedures when deployments fail. And thinking rollback means deleting all data and starting over contradicts the goal of returning to a known good, usable state with data preserved and system functionality restored.