AWS Disaster Recovery: Complete Architecture Guide

Disaster recovery (DR) on AWS isn’t just about backups—it’s about designing resilient architectures that can recover from failures within your defined Recovery Time Objective (RTO) and Recovery Point Objective (RPO). This guide covers the four primary DR strategies, their trade-offs, and implementation patterns used by enterprise teams.
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Disaster recovery (DR) on AWS isn’t just about backups—it’s about designing resilient architectures that can recover from failures within your defined Recovery Time Objective (RTO) and Recovery Point Objective (RPO). This guide covers the four primary DR strategies, their trade-offs, and implementation patterns used by enterprise teams.
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Before choosing a DR strategy, you must define your requirements:
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Metric Definition Example RTO (Recovery Time Objective) Maximum acceptable downtime after a disaster 4 hours = system must be online within 4 hours RPO (Recovery Point Objective) Maximum acceptable data loss measured in time 1 hour = can lose up to 1 hour of data The Four DR Strategies
AWS defines four disaster recovery strategies, ordered from lowest to highest cost and complexity:
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AWS defines four disaster recovery strategies, ordered from lowest to highest cost and complexity:
Log Analysis
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The simplest and most cost-effective approach. Data is backed up regularly to S3, and infrastructure is provisioned only when disaster strikes.
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✅ Best For:
- Non-critical workloads
- Development/test environments
- Cost-sensitive applications with flexible RTO
Implementation:
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Implementation:
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# AWS Backup plan using Terraform resource "aws_backup_plan" "dr_backup" { name = "disaster-recovery-plan" rule { rule_name = "daily-backups" target_vault_name = aws_backup_vault.dr_vault.name schedule = "cron(0 5 ? * * *)" # Daily at 5 AM UTC lifecycle { delete_after = 30 # Retain for 30 days } copy_action { destination_vault_arn = aws_backup_vault.dr_vault_secondary.arn lifecycle { delete_after = 30 } } } }2. Pilot Light (RTO: 10s of Minutes | RPO: Minutes)
A minimal version of your environment runs continuously in the DR region. Core components (databases, domain controllers) are always on, while application servers are launched during failover.
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A minimal version of your environment runs continuously in the DR region. Core components (databases, domain controllers) are always on, while application servers are launched during failover.
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⚡ Architecture Pattern:
- Always Running: RDS read replica, minimal EC2 for replication
- Scaled Down: Auto Scaling groups set to 0
- On Failover: Promote replica, scale up ASG, update DNS
# Pilot Light failover script (Python) import boto3 def failover_to_dr(primary_region, dr_region): # 1. Promote RDS read replica rds = boto3.client('rds', region_name=dr_region) rds.promote_read_replica( DBInstanceIdentifier='mydb-replica' ) # 2. Scale up Auto Scaling group autoscaling = boto3.client('autoscaling', region_name=dr_region) autoscaling.update_auto_scaling_group( AutoScalingGroupName='app-asg-dr', MinSize=2, DesiredCapacity=4 ) # 3. Update Route 53 to point to DR route53 = boto3.client('route53') route53.change_resource_record_sets( HostedZoneId='Z1234567890', ChangeBatch={ 'Changes': [{ 'Action': 'UPSERT', 'ResourceRecordSet': { 'Name': 'app.example.com', 'Type': 'A', 'AliasTarget': { 'HostedZoneId': 'Z2FDTNDATAQYW2', 'DNSName': 'dr-alb.us-west-2.elb.amazonaws.com', 'EvaluateTargetHealth': True } } }] } )3. Warm Standby (RTO: Minutes | RPO: Seconds)
A scaled-down but fully functional copy of your production environment runs in the DR region. All components are active and receiving replicated data.
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A scaled-down but fully functional copy of your production environment runs in the DR region. All components are active and receiving replicated data.
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Component Production Warm Standby Web Servers 8x m5.xlarge 2x m5.large Database db.r5.2xlarge (Multi-AZ) db.r5.large (Read Replica) Cache ElastiCache 3-node cluster ElastiCache 1-node Traffic 100% production load Health checks only 4. Multi-Site Active/Active (RTO: Near-Zero | RPO: Near-Zero)
Both regions serve production traffic simultaneously. This is the most expensive but provides the highest availability.
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Both regions serve production traffic simultaneously. This is the most expensive but provides the highest availability.
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🔥 Key Technologies:
- Route 53: Latency-based or geolocation routing
- Aurora Global Database: Sub-second replication across regions
- DynamoDB Global Tables: Multi-region, multi-active replication
- S3 Cross-Region Replication: Automatic object replication
DR Strategy Comparison
Strategy RTO RPO Cost Complexity Backup & Restore Hours Hours $ Low Pilot Light 10s of minutes Minutes $$ Medium Warm Standby Minutes Seconds $$$ Medium-High Multi-Site Active/Active Near-zero Near-zero $$$$ High AWS Services for DR
AWS Elastic Disaster Recovery (DRS)
Formerly CloudEndure, DRS provides continuous block-level replication of your source servers to AWS. It’s ideal for lift-and-shift DR scenarios.
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Formerly CloudEndure, DRS provides continuous block-level replication of your source servers to AWS. It’s ideal for lift-and-shift DR scenarios.
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# AWS CLI: Start DRS recovery drill aws drs start-recovery \ --source-servers sourceServerID=s-1234567890abcdef0 \ --is-drill \ --tags Key=Environment,Value=DR-TestAurora Global Database
For MySQL and PostgreSQL workloads, Aurora Global Database provides:
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For MySQL and PostgreSQL workloads, Aurora Global Database provides:
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Automate DNS failover based on endpoint health:
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# Route 53 failover routing policy (Terraform) resource "aws_route53_health_check" "primary" { fqdn = "primary.example.com" port = 443 type = "HTTPS" resource_path = "/health" failure_threshold = 3 request_interval = 10 } resource "aws_route53_record" "primary" { zone_id = aws_route53_zone.main.zone_id name = "app.example.com" type = "A" failover_routing_policy { type = "PRIMARY" } set_identifier = "primary" health_check_id = aws_route53_health_check.primary.id alias { name = aws_lb.primary.dns_name zone_id = aws_lb.primary.zone_id evaluate_target_health = true } }Testing Your DR Plan
A DR plan is only as good as its last test. AWS recommends:
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A DR plan is only as good as its last test. AWS recommends:
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⚠️ Common DR Testing Mistakes:
- Testing only during business hours (disasters happen at 3 AM)
- Not involving the actual on-call team
- Skipping the failback procedure
- Not testing with production-like data volumes
Cost Optimization
DR doesn’t have to break the bank:
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DR doesn’t have to break the bank:
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- AWS Whitepaper: Disaster Recovery of Workloads on AWS
- AWS Elastic Disaster Recovery Documentation
- Aurora Global Database Guide
🎯 Key Takeaway: Choose your DR strategy based on business requirements, not technical preferences. A startup might be fine with backup-and-restore, while a financial services company needs multi-site active/active. Document your RTO/RPO requirements first, then design accordingly.
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🎯 Key Takeaway: Choose your DR strategy based on business requirements, not technical preferences. A startup might be fine with backup-and-restore, while a financial services company needs multi-site active/active. Document your RTO/RPO requirements first, then design accordingly.
Log Analysis
- 🎯 Key Takeaway: Choose your DR strategy based on business requirements, not technical preferences. A startup might be fine with backup-and-restore, while a financial services company needs multi-site active/active. Document your RTO/RPO requirements first, then design accordingly.
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David Patel
Author & Expert
Cloud Security Architect with expertise in AWS security services, compliance frameworks, and identity management. AWS Certified Security Specialty holder. Helps organizations implement zero-trust architectures on AWS.
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