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Backup Recovery Time Calculator

Calculate optimal RTO/RPO targets, analyze downtime costs, and compare backup strategies with cost-benefit analysis for disaster recovery planning.

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Business Profile

25
35 $/hr

Default: $35/hour

50 %

Typical: 50%

2500000

+5 more fields

Current Backup State

8 hrs
95 %

Default: 95%

2
4 hrs

Risk Tolerance

8 hrs

This is your RTO target before adjustments

8 hrs

This is your RPO target

99.5 %

E.g., 99.9% = 8.76 hours downtime/year

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Frequently Asked Questions

Common questions about the Backup Recovery Time Calculator

RTO is the maximum acceptable time your business can be down after a disaster before significant harm occurs. For example, an RTO of 4 hours means you must restore operations within 4 hours of an outage. RTO drives your backup infrastructure investment—shorter RTOs require more expensive solutions like hot standby sites.

RPO is the maximum acceptable amount of data loss measured in time. An RPO of 1 hour means you can lose up to 1 hour of data. RPO determines your backup frequency—if RPO is 1 hour, you need hourly backups or continuous replication. Financial and healthcare systems often require RPO near zero.

Downtime cost = (Revenue per hour) + (Productivity loss per hour) + (Recovery costs) + (Reputation damage). For a company with $10M annual revenue, that's roughly $1,140/hour in lost revenue alone. Add employee costs ($50/hour × employees affected), emergency IT costs, and customer compensation.

The 3-2-1 rule is a best practice: keep 3 copies of your data, on 2 different types of media, with 1 copy offsite. This protects against hardware failure (multiple copies), media-specific failures (different media types), and site disasters (offsite copy). Modern variants add air-gapped or immutable copies for ransomware protection.

Compare total cost of ownership: strategy cost + expected downtime cost + expected data loss cost. A $50K/year hot standby might seem expensive, but if your hourly downtime cost is $10K and you'd otherwise face 24+ hour outages, it pays for itself in one incident. Factor in probability of outages from your historical data.

Key factors include: data volume (TB to restore), network bandwidth, storage performance, application complexity, testing/validation time, and staff availability. A 10TB restore over 100Mbps takes 22+ hours for data transfer alone. Factor in application startup, database consistency checks, and user acceptance testing.

ℹ️ Disclaimer

This tool is provided for informational and educational purposes only. All processing happens entirely in your browser - no data is sent to or stored on our servers. While we strive for accuracy, we make no warranties about the completeness or reliability of results. Use at your own discretion.