Business-critical digital services · Continuity engineering

Proving recovery instead of assuming backup

A business-aligned recovery programme connecting workload criticality, RPO, RTO, backup policy, restoration testing, infrastructure recreation and runbooks.

BackupReplicationIaCRunbooks

15 min

critical RPO (from 24h)

90 min

RTO (from 8h)

98%

restoration-test success

30+

recovery runbooks created

In brief

A digital business kept backups across databases, VMs and application systems, but restoration was not tested consistently — and recovery depends on infrastructure, configuration, secrets, network and service sequence, not just data. ClimsTech classified workloads, aligned policy with business recovery needs, separated operational backup from disaster recovery, tested restoration, and documented dependencies and runbooks.

Working constraints

Different workload criticality
Existing backup technologies
Mixed cloud and hybrid systems
Limited restoration windows
Business continuity expectations
Data retention requirements
Need for repeatable testing

The problem

What was actually going wrong

Successful backup jobs did not prove the platform could be restored within an acceptable timeframe. Recovery depended not only on data, but also infrastructure, configuration, secrets, network, application version, and service sequence.

What discovery surfaced

1Backup schedules were technology-led rather than business-led.
2Restoration ownership was unclear.
3Some backups had never been tested.
4Application dependencies were missing from recovery documentation.
5Infrastructure configuration was not always included.
6RPO and RTO expectations were inconsistent.

The engineering

What we built and changed

1Workload classification

Applications and data were grouped by business criticality and acceptable loss.

2Policy alignment

Backup frequency, retention, replication, and storage location were mapped to workload tier.

3Recovery architecture

Critical data, infrastructure definitions, configuration, and secrets were included in the recovery scope.

4Restoration testing

Selected workloads were restored in controlled exercises to validate recoverability.

5Runbooks and governance

Ownership, escalation, validation, and post-restoration checks were documented.

Recovery became a tested operational capability with explicit ownership and measurable expectations.

The architecture

Before and after

Before

Production workloads
Technology-led backup schedules
Untested backups
Unclear restoration ownership
Incomplete recovery documentation
Inconsistent RPO and RTO

After

Production workloads
Operational backups
Replication for critical data
Object storage
Infrastructure as Code
Secrets and configuration
Disaster-recovery environment
Restoration testing

Judgement calls

Decisions that shaped the outcome

Why classify workloads?

Not every system needs the same recovery investment; business criticality should drive policy rather than technology defaults.

Why test restoration regularly?

Backup success does not confirm restore success; only live restoration exercises validate that a workload can actually be recovered.

Why include Infrastructure as Code?

Recovering data alone does not recreate a functioning platform; infrastructure definitions, configuration, and secrets must also be included in the DR scope.

Verified outcomes