rollback-strategy-advisor

A failed deployment rollback strategy is determined by analyzing change types like schema modifications and data mutations to recommend the safest recovery path, which may include reverting, rolling forward, or killing a feature flag.

Choosing between reverting code and rolling forward during incident response requires analyzing deploy changes and external side effects to determine reversibility, ensuring you select the optimal recovery path that minimizes downtime and data loss.

Design reversible deploy pipelines and migration undo plans proactively by incorporating feature flags and expand-contract migrations, ensuring that schema modifications and stateless code changes can be safely reversed if a deployment fails.

A feature flag kill switch is preferred over a full revert when analyzing deploy changes shows the issue is isolated to a specific toggleable feature, allowing rapid recovery without rolling back stateless code or schema modifications.

Rollback for schema modifications and external side effects requires analyzing reversibility to determine if data repair or a roll-forward fix is needed, because standard reverts cannot undo irreversible external mutations or complex schema changes.