---
name: disaster-recovery-testing
description: Use when asked to test backup restoration, failover, and business-continuity recovery procedures — recovery time/point objectives (RTO/RPO) — as distinct from chaos testing (see chaos-testing), which explores unknown failure modes broadly rather than validating one defined recovery plan.
---

# Disaster Recovery Testing

Disaster recovery testing validates that systems can recover from
catastrophic failures — hardware failure, network outage, cyberattack,
natural disaster — while preserving data integrity and business
continuity, by actually rehearsing the recovery procedure rather than
just documenting it.

## What gets tested

- **Backup restoration** — automated verification that backups are
  actually complete and restorable, not merely that a backup job
  reported success.
- **Database recovery** and **application failover** — switching
  operations from a failed primary to a secondary/backup system.
- **System synchronization** — confirming data consistency is restored
  across the recovered components, not just that each is individually
  running again.
- **End-to-end recovery simulation** — full system restoration from
  various specific failure points, exercising the complete procedure a
  real incident would require, not just one isolated piece of it.

## The two key metrics

- **RTO (Recovery Time Objective)** — how long recovery is allowed to
  take.
- **RPO (Recovery Point Objective)** — how much data loss (measured in
  time since the last good backup/replication point) is acceptable.

Disaster recovery testing measures actual RTO/RPO against the targets set
for the business, in a controlled environment, so gaps are found before
an actual disaster forces the organization to discover them live.

## Automation

Tooling can orchestrate multi-tier recovery scenarios — coordinating
database restoration, application redeployment, and network
reconfiguration together — and can be scheduled during off-peak hours to
minimize disruption while still validating recovery on a regular
cadence, integrated into CI/CD so recovery procedures are re-checked as
the application evolves rather than validated once and assumed still
correct.

## Common pitfalls

- **Never actually testing a documented recovery plan** — a runbook that
  exists on paper but has never been rehearsed reliably has gaps that
  only surface during a real incident, at the worst possible time.
- **Backups verified only by "the job succeeded," not by an actual
  restore test** — a backup that can't actually be restored provides no
  real protection, however clean its completion log looks.
- **Testing recovery in isolation from the rest of the system** —
  restoring a database without also validating application connectivity
  and downstream synchronization can miss issues an end-to-end test would
  catch.
- **Letting the recovery procedure go stale as the application changes**
  — a runbook tested once, years ago, against a since-changed
  architecture may no longer describe a working recovery path.

## Learn more

- [[chaos-testing]] for exploring unknown failure modes broadly, as a complement to testing one known recovery plan.
- [[failover-testing]] for the specific case of automatic backup-system switchover.
