The hard part of database migrations is not adding another tool or screen. It is deciding how to define compatibility, locking risk, backfill, verification, rollback limits, and an operator, while accounting for one concrete failure: application rollback cannot undo every schema or data change.
Turn "done" into observable behavior: Database Migrations
Acceptance criteria for database migrations should identify the actor, starting state, action, durable result, denied path, repeated action, and recovery evidence. The interface may report success while application rollback cannot undo every schema or data change. The criterion therefore has to compare visible feedback with the versioned artifact and durable production state.
Cover the states that change the decision: Database Migrations
Test ready, empty, invalid, denied, delayed, duplicate, partial, successful, and recovered states where they apply. Add a case in which a rollout stops after state changes but before verification completes. Each case should say whether input is preserved, whether retry is safe, and which record a reviewer inspects. Avoid criteria such as "works" or "implemented" because two reviewers can interpret them differently.
Test authority, not visibility: Database Migrations
The expected behavior must hold for an allowed actor, a denied actor, a revoked role, and a direct request that bypasses the normal interface. A denial should leave protected state unchanged and produce a useful audit record without exposing secrets. For database migrations, the accountable actor is the release owner.
Attach evidence to every important claim: Database Migrations
Use release identity, migration output, health checks, traces, and a timed recovery rehearsal. Record the environment, configuration, and time range so another reviewer can reproduce the result. A passing test supports only the behavior it exercised; it does not prove every security, accessibility, performance, or operational claim. Monitor restore time as a release signal.
Decision map: Database Migrations
- Backfill. Name the owner, authoritative record, expected state, and denial behavior for this part of database migrations.
- Verification. Document the normal transition, one interrupted transition, and the smallest safe recovery.
- Rollback limits. Attach a reproducible test, dated result, and reviewer who accepts the remaining risk.
- An operator. State the input, output, permission boundary, and removal condition before adding automation.
- Compatibility. Record how repeated action behaves and which evidence distinguishes retry from duplication.
Boundary cases: Database Migrations
- When the recorded value for backfill changes after verification is stored, name which value wins and how the losing state is reconciled.
- If evidence for rollback limits becomes unavailable while the database migrations request is in progress, preserve enough context to distinguish rejection from partial completion.
- A repeated action involving an operator should return the existing result or expose the possible duplicate effect before retry.
- A denied change to compatibility must leave authoritative state untouched and create an audit record that reveals no secret.
- Recovery should restore the smallest trustworthy state first, then verify the visible database migrations outcome against the maintained record.
Measure the decision, not activity: Database Migrations
Track restore time and rollback time. Before collecting results for database migrations, define each measure's population, environment, time window, and owner. Activity is useful only when it clarifies whether the protected database migrations outcome became safer or easier to recover.
Set the investigation threshold for database migrations in advance. The acceptance review should also name the permitted response, the evidence required to close the issue, and the next review date. Stop collecting database migrations data when it no longer distinguishes success, denial, delay, duplication, or recovery, or when it no longer changes a decision.
Sources and local proof: Database Migrations
These primary references document platform behavior relevant to database migrations. For database migrations, those references establish terminology and constraints; they do not verify the local implementation.
Any publishable database migrations claim still needs dated local evidence: configuration, test output, screenshots, logs, queries, or recovery results from the named product. The acceptance review should say exactly which artifact supports each important claim.
A related InMyDraft example: Database Migrations
InMyCompany provides a local example of an inspectable product boundary relevant to database migrations. Its project catalog records this implementation detail: Tax estimates are computed from the company's own configurable rates, clearly labelled as planning estimates rather than official filings, and surfaced on the dashboard and in reports.
The comparison between InMyCompany and database migrations is deliberately narrow. It shows how one product makes state and evidence visible; it does not prove that every database migrations recommendation has been implemented. Use the InMyCompany example to review database migrations, not as a substitute for testing the product in scope.
Review checklist: Database Migrations
- Given a valid starting state, the release owner can complete the intended database migrations outcome.
- Invalid and unauthorized requests leave the versioned artifact and durable production state unchanged.
- A repeated action does not duplicate a protected side effect.
- The team can demonstrate that it can apply the migration to production-shaped data while old and new code remain compatible.
- Failure and recovery produce evidence another reviewer can reproduce.
A database-migration decision is ready for the next stage when another accountable person can reproduce the evidence, explain the failure boundary, and perform the recovery without relying on the original author's memory.
