Learn how to implement disaster recovery strategies in AWS including backups, replication, and failover procedures.
Disaster Recovery in the Cloud: Backup and Recovery Strategies
Disaster recovery is critical for business continuity. This guide covers AWS DR strategies.
Resources:
BackupPlan:
Type: AWS::Backup::BackupPlan
Properties:
BackupPlan:
BackupPlanName: DailyBackup
Rules:
- RuleName: DailyRule
ScheduleExpression: cron(0 2 * * ? *)
TargetBackupVault: Default
Lifecycle:
DeleteAfterDays: 30
Resources:
PrimaryBucket:
Type: AWS::S3::Bucket
Properties:
ReplicationConfiguration:
Role: !GetAtt ReplicationRole.Arn
Rules:
- Id: ReplicateToSecondary
Status: Enabled
Destination:
Bucket: !GetAtt SecondaryBucket.Arn
- RTO (Recovery Time Objective): Maximum acceptable downtime
- RPO (Recovery Point Objective): Maximum acceptable data loss
- Backup and Restore: Lowest cost, highest RTO
- Pilot Light: Minimal resources in DR region
- Warm Standby: Scaled-down version running
- Multi-Site: Full production in multiple regions
- Regular backups
- Test restore procedures
- Document recovery procedures
- Automate where possible
- Monitor backup success
Implement regular backups, cross-region replication, and test recovery procedures to ensure business continuity.
For Disaster Recovery in the Cloud: Backup and Recovery Strategies, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Disaster Recovery in the Cloud: Backup and Recovery Strategies, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Disaster Recovery in the Cloud: Backup and Recovery Strategies, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Disaster Recovery in the Cloud: Backup and Recovery Strategies, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
