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Data Backup and Recovery Plan Template

A structured template for planning data backup and disaster recovery procedures with RTO/RPO targets, backup schedules, recovery runbooks, and testing...

Updated 2026-03-05
Data Backup and Recovery Plan
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Frequently Asked Questions

What is the difference between RTO and RPO?+
RTO (Recovery Time Objective) is how fast you need to be back online after an outage. RPO (Recovery Point Objective) is how much data loss you can tolerate. A 1-hour RTO means the service must be restored within 1 hour. A 5-minute RPO means you can lose at most 5 minutes of data. The two are independent: you might need fast recovery (low RTO) but tolerate some data loss (higher RPO), or vice versa.
How often should we test our disaster recovery plan?+
Test backup integrity weekly (automated). Test single-resource restores monthly. Test full database restores quarterly. Test regional failover semi-annually. After any significant infrastructure change (new database, new cloud provider, major schema migration), run an unscheduled drill.
Should we use a managed backup service or build our own?+
Use managed backups (RDS automated backups, Cloud SQL backups, Atlas backups) as your foundation. They handle the common cases reliably. Build custom backup procedures for scenarios the managed service does not cover: cross-account isolation, custom retention policies, multi-database consistency, or compliance-specific requirements.
How do we handle backup encryption key management?+
Store backup encryption keys in a separate key management service (AWS KMS, GCP Cloud KMS, HashiCorp Vault) from the data itself. Use separate keys for each data classification tier. Rotate keys annually. Ensure at least two team members have key recovery access. Document the key recovery procedure and test it during drills.
What is the cost trade-off between RTO/RPO targets?+
Lower RTO and RPO targets cost more. Continuous replication for 5-minute RPO costs 3-5x more than daily snapshots for 24-hour RPO. Sub-hour RTO requires active-active or hot standby infrastructure, which doubles your compute costs. The right target depends on the business impact of downtime versus the cost of the infrastructure to prevent it.

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