Restoring a database and choosing a new system of record differ
Point-in-time recovery recreates database state from an earlier point using supported retained recovery material. It helps with incidents such as an unwanted data change, but it does not decide which later legitimate operations must be reconciled. Begin with the incident timeline and business acceptance requirements before selecting a recovery timestamp.
Google documents that Cloud SQL PITR creates a new instance rather than recovering into an existing one. The source's backup and log prerequisites and available recovery window must be checked. A timestamp written in a ticket is not evidence that the requested point is recoverable.
Prepare the recovery contract
- Verify the instance's configured backup and PITR prerequisites and retention behavior. Record the earliest and latest recoverable times using supported provider information.
- Define the business incident boundary in a consistent timezone, with the unwanted event and known good transaction evidence. Identify the data owner who can approve the chosen point.
- Prepare an isolated recovery instance, application credentials and a cutover rehearsal. Prevent test consumers, schedules and outbound integrations from creating real side effects.
For beginners, RPO is the acceptable gap in recovered data, while RTO is the intended recovery duration. Neither objective is proven merely by enabling a backup option. Retain a tested application recovery path alongside the database configuration.
Illustrative incident: an incorrect bulk update reaches production
A maintenance job changes valid customer preferences unexpectedly. Legitimate updates continue afterward. The team considers restoring to a point before the faulty job. This is an illustrative scenario. Directly switching every application to that older copy could also discard valid later work unless the reconciliation decision is explicit.
Build a timestamp and dependency evidence chain
Record the faulty operation's time, timezone and transaction evidence. Compare the proposed recovery point with the actual recovery window. Inventory application dependencies that could continue reading or writing the old instance during a transition.
| Observation | Evidence | Decision boundary |
|---|---|---|
| Requested point is outside retained history | Earliest and latest available recovery time | Recovery feasibility |
| Restored rows appear correct | Known good and affected data fixtures | Data acceptance |
| Later valid transactions are absent | Post-incident business ledger | Reconciliation |
| Applications still use the old endpoint | Runtime connection configuration | Cutover completeness |
Protect incident evidence and avoid running another broad correction while the recovery point is being established. Repeated writes can complicate the business comparison even when technical recovery remains available.
Validate the recovery copy before a serving decision
Create the recovery instance through the documented procedure and test the selected data fixtures in isolation. Confirm that the new application's test connection actually reaches that instance. Assess legitimate later work with the data owner before approving a cutover or a selective repair.
Rehearse the application's startup, representative reads and controlled writes, including background workers. Define how the team will prevent two active writers during the actual transition. Record the rollback boundary: once new valid writes occur on a recovered instance, returning to the old copy may require another reconciliation decision.
Monitoring and recovery SOP
Measure elapsed recovery to accepted application behavior and the agreed recovered-data point. An illustrative internal control could require an isolated PITR rehearsal and data-owner sign-off before accepting a critical database recovery plan. This is an operating criterion, not a Cloud SQL SLA or a zero-data-loss guarantee.
The SOP should retain recovery window, selected point, source and destination, fixtures, reconciliation owner, connection changes and timing. Escalate uncertainty about later legitimate transactions before declaring recovery complete. Review the runbook when retention, identity or application connection patterns change.
Clouvenix can scope related engineering support around a documented environment and agreed acceptance criteria.
Technical reference
Google Cloud: perform MySQL point-in-time recovery. Reviewed 19 October 2026; confirm resource-specific prerequisites and behavior for the deployed configuration.