Automated Backup RPO/RTO Estimator
Estimate data loss risk and downtime costs based on backup frequency and recovery speed. Enter values for instant results with step-by-step formulas.
Worked Examples
Example 1: Critical Database
Problem: RPO 1h, RTO 4h, $10k/hr Cost
Solution: Loss: 1hr of data. Cost: $40,000.
Result: Strict Tier (Hourly Backups)
Example 2: Archive Server
Problem: RPO 24h, RTO 48h, $100/hr Cost
Solution: Loss: 24hr of data. Cost: $4,800.
Result: Standard Tier (Daily Backups)
Frequently Asked Questions
What is RPO (Recovery Point Objective)?
RPO is the maximum amount of data (measured in time) you can afford to lose. If RPO is 4 hours, your backups must run at least every 4 hours. If a crash happens, you lose up to 4 hours of work.
What is RTO (Recovery Time Objective)?
RTO is the maximum duration of downtime you can tolerate. If RTO is 2 hours, your systems must be back up and running within 2 hours of the failure.
Can RPO be zero?
Yes, 'Zero RPO' requires synchronous replication (mirroring data in real-time to a second site). This is expensive and complex but necessary for banking/financial ledgers.
Why does throughput matter for RTO?
If you have 10TB of data but your internet/network can only restore 100GB/hour, it will take 100 hours to recover. Your RTO of 4 hours is physically impossible. You need faster disks or networks.
Difference between Backup and DR?
Backups are copies of data (for deleted files). Disaster Recovery (DR) is the plan/infrastructure to restore systems (servers + data) when the primary site fails.
Why might my result differ from another tool or reference?
Differences typically arise from rounding conventions, the specific version of a formula (for example, simple vs compound interest), or unit inconsistencies between inputs. Check that both tools are using the same formula variant and the same units. The References section links to the authoritative source behind the formula used here.