Cloud Disaster Recovery Calculator
Test whether a backup, pilot light, warm standby or active-active design actually meets your RTO and RPO, and what it costs.
Inputs
Each tier trades standby capacity against recovery time.
Secondary regions are often a few percent dearer than the primary.
Sets the floor on RPO for a backup-and-restore design.
Monthly DR Cost
$32,100.00
Annual DR Cost
$385,200.00
Achievable RTO
0.50hours
Achievable RPO
5.0minutes
Standby Capacity Cost
$31,500.00
Expected Annual Outage Loss
$18,750.00
DR Cost Against Production
53.5%
Does the Design Meet the Targets
The strategy meets both the RTO and the RPO target
Step by step
Values used
Recovery strategy = Warm standby; Production environment cost = 60,000 USD/month; Price premium in the recovery region = 5 %; Data replicated between regions = 5,000 GB/month; Inter-region transfer rate = 0.0200 USD/GB; Backup data held = 40,000 GB; Backup storage rate = 0.0125 USD/GB-month; Backup interval = 4 hours; Restore throughput = 2 Gbps; RTO target = 4 hours; RPO target = 15 minutes; Cost of an hour of outage = 25,000 USD/hour; Expected invocations per year = 1.50 events/year
Cloud Disaster Recovery
DR cost = production cost × standby fraction × region premium + replicated GB × transfer rate + backup GB × backup rate; restore hours = backup GB × 8 ÷ (Gbps × 3,600).
Monthly DR Cost
= 32,100.00
Annual DR Cost
= 385,200.00
Achievable RTO
= 0.50 hours
Achievable RPO
= 5.0 minutes
Standby Capacity Cost
= 31,500.00
Expected Annual Outage Loss
= 18,750.00
How it works
Each recovery tier is modelled as a fraction of production capacity kept warm, which is what actually drives the standby bill, plus the replication and backup meters that run continuously. The achievable RTO for a backup-and-restore design is dominated by physics rather than price: moving 40 TB at 2 Gbps takes over 40 hours no matter how the runbook is written. Most DR plans fail their own RTO because nobody converted the dataset size and restore bandwidth into hours, and the gap only appears during a real incident. Comparing the annual DR cost with the expected outage loss shows whether the next tier up is worth buying; these are planning estimates, not an insurance calculation.
Formula
Cloud Disaster Recovery
DR cost = production cost × standby fraction × region premium + replicated GB × transfer rate + backup GB × backup rate; restore hours = backup GB × 8 ÷ (Gbps × 3,600).
- standby fraction
- Share of production capacity kept running — 5% backup, 20% pilot light, 50% warm, 100% active-active
- RTO
- Recovery time objective — how long recovery may take
- RPO
- Recovery point objective — how much data you may lose
Frequently Asked Questions
How is Cloud Disaster Recovery calculated?
DR cost = production cost × standby fraction × region premium + replicated GB × transfer rate + backup GB × backup rate; restore hours = backup GB × 8 ÷ (Gbps × 3,600). Each recovery tier is modelled as a fraction of production capacity kept warm, which is what actually drives the standby bill, plus the replication and backup meters that run continuously. The achievable RTO for a backup-and-restore design is dominated by physics rather than price: moving 40 TB at 2 Gbps takes over 40 hours no matter how the runbook is written.
Why does Cloud Disaster Recovery matter?
Most DR plans fail their own RTO because nobody converted the dataset size and restore bandwidth into hours, and the gap only appears during a real incident. Comparing the annual DR cost with the expected outage loss shows whether the next tier up is worth buying; these are planning estimates, not an insurance calculation.
What values do I need to enter?
This calculator takes 13 inputs: Recovery strategy, Production environment cost, Price premium in the recovery region, Data replicated between regions, Inter-region transfer rate, Backup data held, Backup storage rate, Backup interval, Restore throughput, RTO target, RPO target, Cost of an hour of outage, Expected invocations per year. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.
Why does pilot light have a better RTO than backup and restore if it still restores data?
The pilot light keeps the core infrastructure, databases and network already built and replicating, so recovery is a scale-up rather than a rebuild. Only a fraction of the data ever needs restoring, which is why the restore term is discounted rather than removed.
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