The Challenge
Backups and a documented recovery plan feel like protection, but they do not prove that an organization can recover from a real infrastructure failure. A backup may exist and still be unusable. A recovery procedure may be missing a step. A dependency may stop an application from starting even after the servers are back. That is why disaster recovery testing matters: recovery cannot be assumed.
Production infrastructure can fail in many ways, including server and storage failures, application faults, data loss or corruption, network issues, configuration mistakes, security incidents and unexpected outages. A common assumption is that having backups means the environment is protected. In reality, a backup that is available is not the same as a recovery that is validated. Disaster recovery testing closes that gap by proving recovery works before it is needed.
A backup is useful only if the data can actually be restored and the application runs correctly afterwards. A recovery document does not guarantee that every step will work during a real incident. The team needed disaster recovery testing to validate the process before a real disaster did it for them.
The Approach
The team started with one simple question: if a critical infrastructure failure occurs, can the required services actually be recovered using the available recovery procedures? Disaster recovery testing was planned to answer it in a controlled manner, so normal production operations stayed unaffected.
The goal was not just to start a server. It was to confirm that the whole service could be restored and made operational again. The disaster recovery testing therefore covered backup availability, recovery procedures, infrastructure restoration, application recovery, configuration restoration, service dependencies, connectivity after recovery and application functionality after restoration.
This follows the principle in NIST’s contingency planning guide (SP 800-34 Rev. 1) that recovery plans must be tested and exercised, not only written. Each step of the disaster recovery testing flow was reviewed to see whether the documented process worked as expected: failure scenario, infrastructure recovery, data and configuration restore, application start, connectivity validation, application testing and confirmed recovery.
Implementing Disaster Recovery Testing
Disaster recovery testing walked through the full recovery flow one stage at a time and checked whether each documented step worked in practice.
Infrastructure Recovery: Procedures That Work in Practice
The first check was whether the required infrastructure components could be restored by following the documented steps. This confirmed that infrastructure recovery was practical rather than only theoretical. Environments that are already software-defined, like the one in our SDDC infrastructure migration case study, are easier to rebuild, but disaster recovery testing is still the only way to prove it.
Data & Configuration Recovery: Beyond the Backup
Next, the backup and restoration procedures were checked to confirm that the required data could actually be recovered. Disaster recovery testing validated application and infrastructure configurations in the same pass, because missing configuration can stop a successful server or database restore from becoming a working application. Defining configuration as code, as in our CI/CD deployment automation with Docker and Kubernetes work, makes this step more repeatable.
Application & Service Recovery: More Than a Running Server
With infrastructure and data back, the applications and services were started and checked to confirm they operated correctly. This is where service dependencies, incorrect permissions and services that do not start automatically tend to appear. Disaster recovery testing at this stage shows whether the application is recovered, not just the server.
Connectivity & Functional Validation: Confirming Recovery
After recovery, network and service connectivity were checked so restored components could reach the dependencies they need. The final step of disaster recovery testing was functional validation: confirming the recovered applications were genuinely usable. This is also where disaster recovery testing exposes gaps such as missing backup data, outdated recovery documentation, missing configuration and manual steps that were never written down, so they can be fixed before they become production incidents.
The Results
Disaster recovery testing improved the ability to respond to infrastructure failures by validating recovery procedures before a real incident required them. The main improvements were:
- Improved recovery readiness
- Validated backup and restoration procedures
- Recovery gaps identified through disaster recovery testing
- Better understanding of application dependencies
- Improved recovery documentation
- Reduced uncertainty during potential incidents
- Stronger business continuity preparedness
- Reduced potential downtime through better recovery planning
The most important outcome of disaster recovery testing was confidence. Instead of relying on “we have backups and a recovery procedure,” the team can now say “we have tested the recovery procedure and know what is required to restore the environment.” That distinction matters during an incident, when recovery decisions must rest on validated procedures instead of assumptions.
Regular disaster recovery testing also keeps recovery procedures aligned with change, as applications, servers, databases and configurations evolve. It supports the continuity goals set out in standards such as ISO 22301, and it matters most for SaaS platforms and web applications where every minute of downtime counts. A recovery plan that has never been tested is only an assumption. Disaster recovery testing turns it into a validated recovery capability.
