Cloud2026-04-22
The restore you never tested is not a backup
Every organisation we assess has backups. Roughly half have never restored from them. The gap between those two facts is where recovery plans go to die.
- Author
- Rohan Bhatt
- Published
- 22 APR 2026
- Read
- 5 MIN
- Ref
- 72E0AB
The question we ask in every cloud assessment is not "do you have backups". Everyone has backups. The question is "when did you last restore from one, and how long did it take".
The answer is usually a pause.
Why the pause happens
Backups are configured once, by someone competent, and then they run. The dashboard is green. The retention policy is documented. Every part of the arrangement looks finished.
Restoring is different work. It is done under pressure, by whoever is available, against a system that is already broken, using a procedure that has typically never been executed. And the failure modes only appear at that moment:
- The backup restores, but into a network that no longer exists in that shape.
- The database restores, but the application cannot start because a secret was in a key vault that was in the same resource group.
- Everything restores correctly, and it takes eleven hours against a recovery objective of two.
That last one is the most common and the most damaging, because nothing is technically broken. The plan was simply never timed.
What a drill actually involves
Half a day, once or twice a year, per critical workload.
Pick the objective first. Two numbers per workload: how much data you can afford to lose (recovery point) and how long you can afford to be down (recovery time). Get them from the business, not from IT. They are usually tighter than the technology currently supports, and finding that out is the point.
Restore into a clean environment. Not the existing one. A rebuilt environment tests the infrastructure definition at the same time, and if the infrastructure cannot be rebuilt from code, you have found a second problem worth knowing about.
Time it end to end. From "we have decided to invoke recovery" to "a user can log in and do their job". Not from the restore command to the restore completing. The gap between those two measurements is where most of the surprise lives.
Have someone who has not done it before run it. The procedure exists so it can be followed by whoever is on call at 4am, and the person who wrote it is not a fair test of whether it can be.
Write down the result with a date. Including the failures. A drill that surfaces three problems has done its job; one that surfaces none should be treated with suspicion.
What we find
The most frequent findings, in rough order:
- Secrets and certificates not covered by the backup, so the restored system cannot authenticate to anything.
- Recovery time three to five times the stated objective, mostly from steps nobody had timed.
- A dependency on a system that was assumed to be available and would not be, in the scenario that triggered the recovery.
- The procedure referring to a person by name who left in 2023.
None of these are exotic. All of them are invisible until somebody tries.
For reference, the last six drills we ran, with the stated objective against what the drill actually measured:
| Workload | Stated RTO | Measured | Gap found |
|---|---|---|---|
| Policy administration | 4h | 11h 20m | Certificates outside the backup scope |
| Reporting warehouse | 24h | 6h | None — objective was conservative |
| Customer portal | 2h | 2h 40m | Manual DNS step, since automated |
| Document store | 8h | 31h | Restore throughput never measured at volume |
| Identity | 1h | 1h 10m | None |
| Integration middleware | 4h | Failed | Depended on a system unavailable in the scenario |
Two of the six met their objective. All six now have a dated result.
The cost of not doing it
An untested backup is not a technical position, it is a belief. It appears in board papers as a control, in risk registers as a mitigation, and in insurance documentation as a fact — and none of those consumers of the information can distinguish between a backup that would work and one that would not.
Half a day, twice a year, converts the belief into evidence with a date on it. It is the cheapest risk work available to most organisations, and it is skipped almost universally, because it produces nothing visible when it succeeds.
That is precisely why it needs to be scheduled rather than intended.