A restored database server is the beginning of recovery. Plan the target time, network access, validation and application switch as one exercise.
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A backup retention setting tells you which recovery points may be available. It does not tell you how long your application will take to recover. Azure Database for PostgreSQL Flexible Server point-in-time restore creates a new server. That distinction should shape the runbook: clients will need to reach and authenticate to the restored destination before traffic can move.
Write down what happened, when unwanted changes began and how much legitimate newer data might be lost by moving to an earlier point. A deletion, a bad migration and credential compromise require different validation. Choose the target timestamp with a consistent time zone and retain the incident evidence.
Do not promise an instant restore. Microsoft’s documentation describes restore time as dependent on factors including database size and log replay. A small logical restore measured in a test container is useful evidence for that procedure, but it is not a measured recovery time for a managed server restore.
Check the restore options supported by the source server’s network mode. The documentation describes restrictions on switching between public and private networking during restore. Prepare the required DNS, routing and firewall decisions without exposing the restored data broadly. Confirm how applications receive their connection settings and credentials.
A restore is also not a complete copy of every surrounding operating arrangement. Review monitoring, alerting, high availability, replicas and dependent services explicitly. Verify which settings were restored and which need to be recreated; do not infer them from the presence of database tables.
Start with connectivity and schema checks, then inspect the records relevant to the incident. Compare balances against their event ledgers, verify representative relationships and check the most recent legitimate transactions around the chosen point. Keep test writes and outbound email disabled during the rehearsal so a recovered queue cannot send duplicate messages.
For the real cutover, define how writes are paused, how the endpoint is changed and how old connections are drained. Decide in advance what evidence allows traffic to resume and what would trigger rollback. After switching, exercise a representative read and a controlled write through the application, not just a database client.
Record the measured intervals separately: restore creation, database validation and application recovery. Those numbers make the next budget or availability discussion much more useful than a single unsupported recovery-time claim.