Your Database Has Backups. Have You Ever Tried Restoring One?

Your backup job ran successfully last night.

This morning, a migration deleted the wrong data.

You open the backup dashboard. Everything is green.

Then someone asks:

“How long until the app works again?”

That’s when you discover whether you have a recovery process—or just backup files.

A successful backup is important. Restoring it and checking the application gives you much stronger evidence that you can recover.

Here’s a practical drill you can run before an incident makes it urgent.

1. Define what you need to recover

Start with a specific scenario:

“Our main database is unavailable. We need to restore the application using an existing backup.”

Write down two targets:

Recovery Time Objective (RTO): How long can the service be unavailable?

Recovery Point Objective (RPO): How much recent data can you afford to lose, measured in time?

For example:

Recovery time target: 60 minutes Acceptable data-loss window: 15 minutes

These are examples, not universal recommendations. Choose targets based on what your users and business can tolerate.

AWS recommends performing recovery tests to validate whether your backup process meets these objectives.

2. Restore an existing backup into an isolated environment

Use a backup produced by your normal process. Creating a special export for the drill can hide problems in the process you actually depend on.

Restore into a separate database or environment with a clearly different name:

app_restore_drill

Check the destination before running restore commands.

Also isolate the recovered application from production integrations. You don’t want a test worker sending real invoices, emails, or payment requests.

Protect restored customer data with appropriate access controls, and remove the test environment when the exercise is complete.

Google Cloud’s recovery guidance recommends testing backups in a non-production environment.

3. Check whether you have everything the restore needs

Finding the backup file is only the beginning.

Can you access:

The backup storage account?
Required decryption keys?
Compatible database tooling?
Necessary extensions?
Database roles and permissions?
Application configuration?

For PostgreSQL, a single-database pg_dump does not include cluster-wide objects such as roles and tablespaces. Those need a separate recovery plan; PostgreSQL provides pg_dumpall for global objects.

This is exactly the kind of missing dependency a drill should reveal.

4. Inspect the restored data

A completed restore command doesn’t prove that you recovered the right data.

Check important business records:

Can you find a known customer?
Are their orders or invoices present?
Do payment totals match the expected state?
Are relationships between records intact?
Are permissions behaving correctly?

Compare against the backup’s expected recovery point. A backup from midnight won’t contain an order created at 9 a.m.

Use known transactions or recovery markers where possible. A single timestamp or total row count can miss problems.

Verify the data your application depends on, not merely the existence of its tables.

5. Start the application against the restored database

Now test the recovered application.

Can a test user sign in?

Can they open an existing record?

Can they create and update a new record?

Can the application generate an important report?

This can expose problems that database checks alone miss:

Missing permissions.
Unavailable extensions.
An incompatible application version.
Incorrect connection settings.
Missing files referenced by database records.

Your database might contain a document’s filename while the actual document lives in object storage.

Recovering the database is one part of recovering the service.

Check the other stateful dependencies your application needs.

6. Measure the whole recovery

Start the timer when you begin the recovery procedure.

Include time spent:

Finding and accessing the backup.
Preparing the environment.
Restoring data.
Configuring the application.
Validating important workflows.

Stop when the service reaches your defined recovery criteria.

Record which incident stages the drill did not simulate, such as detection, escalation, or production traffic cutover.

You might discover:

Database restore: 12 minutes Environment and application setup: 25 minutes Validation: 18 minutes Total drill time: 55 minutes

Reporting only the 12-minute restore would hide most of the work.

7. Measure the data-loss window honestly

Suppose an incident happens at 10 a.m., but the latest recoverable state is midnight.

That leaves a ten-hour gap.

A successful restore doesn’t make that gap acceptable.

If your target is 15 minutes, your backup strategy needs to support a sufficiently recent recovery point.

Depending on the database and platform, that may involve more frequent backups, transaction-log archiving, or point-in-time recovery.

Also distinguish the failure you’re testing:

If the database disappears, you want a recent recoverable state.
If a bad change corrupts data, you need a recoverable state before that change.

Newer isn’t always the correct recovery point.

8. Write instructions another person can follow

Document the process while you perform it.

Include:

Where backups are stored.
How authorized people obtain access.
Which tools and versions are required.
How to select the recovery point.
How to identify the restore destination.
How to validate the result.
Who makes the decision to return the service to users.

Keep credentials in your approved secret-management system, rather than copying them into the document.

Then have another team member follow the instructions.

If they need to ask you about several undocumented steps, you’ve found useful improvements.

A small recovery report

Your first report can be simple:

Scenario: Main database unavailable. Backup used: Identifier and expected recovery point. Restore destination: Isolated drill environment. Validation: Sign-in, record lookup, create/update, reporting. Measured recovery time: 55 minutes. Observed recovery point: Recorded and compared with the data-loss target. Problems: Missing role setup and outdated configuration instructions. Follow-up: Automate role provisioning and update the runbook.

Repeat the drill after fixing the gaps. Schedule future exercises according to the importance of the service and changes to its infrastructure.