Prove the restore before you need it.

Data · Data Recovery

Automated restores into an isolated environment, validated at the application level and timed — so recoverability is evidence rather than an assumption about a green job log.

A successful backup job proves almost nothing

Backup software reports success when it finished writing. It does not tell you whether the database will start, whether the application will run against the restored data, or how long any of it takes. Those questions are only answered by actually restoring, which most organisations do for the first time during an incident.

  • Restore confidence rests on backup jobs reporting success.
  • The last restore was performed during a real incident rather than a test.
  • Nobody can state how long restoring a given system takes, from evidence.
  • Auditors or insurers have asked for restore evidence and none existed.

What we build

A testing capability that restores on a schedule into an environment isolated from production, validates the result at application level, records the timing, and produces evidence without anyone having to remember to do it.

  • A definition of "successfully restored" per system, beyond files being present
  • An isolated restore target that cannot reach or affect production
  • Scheduled automated restores, tiered by how critical each system is
  • Application-level validation — the database starts, the application queries it
  • Measured restore duration recorded per test, building a real timing history
  • Evidence records suitable for auditors, insurers and board reporting

How it runs

Automated, because a manual test that depends on someone finding time will not happen.

  1. 01
    Define success per system

    For each system, what proves the restore worked — a service responding, a query returning, a checksum matching. Files existing is not enough.

  2. 02
    Build an isolated target

    A restore environment fenced off from production, so a test can never write to or interfere with live systems.

  3. 03
    Restore on a schedule

    Frequency tiered by criticality — monthly for the systems that matter most, less often for the rest.

  4. 04
    Validate at application level

    The restored system is started and exercised, because a restored file set that will not mount is a failed restore.

  5. 05
    Record timing and evidence

    Duration and result captured per test, producing both a real recovery time and the evidence somebody will eventually ask for.

What changes once it is running

What turning restores into a routine changes.

Recoverability becomes fact

You know the restore works because it ran last month, not because the backup completed.

Restore time is measured

A timing history replaces the estimate, which makes recovery planning honest.

Failures surface early

A corrupted chain or a missing dependency is found in a scheduled test rather than during an outage.

Evidence is on hand

Auditors and insurers get records rather than assurances, without a scramble.

How an engagement is shaped

Small, and among the highest-return work in this practice.

01

Scope and success criteria

One week agreeing which systems are tested, how often, and what counts as a successful restore for each.

02

Build the harness

Isolated environment, automation and validation implemented, with the first round of tests run and the failures triaged.

03

Operate

Scheduled testing running with alerting on failure, optionally managed, and evidence produced continuously.

Common questions

The things buyers ask before they commit. If yours is not here, it is a good first question for the assessment.

Will testing affect production?
No. Restores run into an isolated environment with no network path back to production. That isolation is part of the build rather than a convention people are asked to respect.
How often should each system be tested?
Tiered by criticality. Monthly for systems the business cannot operate without, quarterly or half-yearly for the rest. Testing everything monthly is rarely justified.
What if a test fails?
Then you have found a real problem at a convenient moment, which is the entire point. Failures are triaged and fixed, and the fix is verified by the next scheduled run.

Can you produce evidence of a successful restore?

If not from a test in the last quarter, recoverability is currently an assumption.