Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
bagelhole avatar

Disaster Recovery

  • 93 installs
  • 44 repo stars
  • Updated May 22, 2026
  • bagelhole/devops-security-agent-skills

Disaster Recovery is a Claude skill for implementing DR strategies and runbooks, including RTO/RPO planning and AWS cross-region failover.

About

Disaster Recovery is a skill for planning and implementing business-continuity strategies. It covers RTO/RPO target-setting by service tier, comparing DR strategies (backup-and-restore, pilot light, warm standby, multi-site active), and AWS cross-region failover with RDS replicas, Aurora Global Database, and S3 replication. A developer uses it to build DR architecture and failover runbooks and to meet compliance contingency requirements.

  • Define RTO/RPO targets across four service tiers
  • Compare DR strategies from backup-and-restore to multi-site active-active
  • Implement AWS cross-region failover (RDS replicas, Aurora Global, S3 CRR)

Disaster Recovery by the numbers

  • 93 all-time installs (skills.sh)
  • Ranked #561 of 1,435 DevOps & CI/CD skills by installs in the Skillselion catalog
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

disaster-recovery capabilities & compatibility

Capabilities
database backups · dns management
Works with
aws
Use cases
devops
From the docs

What disaster-recovery says it does

Implement disaster recovery strategies including RTO/RPO planning, AWS cross-region failover patterns, DR testing procedures, and automated failover scripts.
SKILL.md
RPO: definition: "Recovery Point Objective - maximum acceptable data loss"
SKILL.md
npx skills add https://github.com/bagelhole/devops-security-agent-skills --skill disaster-recovery

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs93
repo stars44
Last updatedMay 22, 2026
Repositorybagelhole/devops-security-agent-skills

What it does

Set RTO/RPO targets, choose a DR strategy, and implement AWS cross-region failover for a critical system.

Who is it for?

Developers designing multi-region DR architecture, failover procedures, and business-continuity runbooks.

Skip if: Day-to-day database backup scripting alone (see database-backups).

When should I use this skill?

Defining RTO/RPO targets, designing multi-region DR architectures, or conducting DR tests.

What you get

Tiered RTO/RPO targets, a chosen DR strategy, and AWS cross-region failover with tested runbooks.

  • RTO/RPO tier targets
  • DR strategy comparison
  • AWS cross-region failover commands and runbooks

By the numbers

  • 4 service-tier RTO/RPO targets
  • 4 DR strategies compared (backup-and-restore, pilot light, warm standby, multi-site active)

Files

SKILL.mdMarkdownGitHub ↗

Disaster Recovery

Implement disaster recovery strategies including RTO/RPO planning, AWS cross-region failover patterns, DR testing procedures, and automated failover scripts.

When to Use

  • Defining RTO and RPO targets for critical systems
  • Designing multi-region or multi-cloud disaster recovery architectures
  • Implementing automated failover and failback procedures
  • Conducting DR tests (tabletop, component, full failover)
  • Meeting compliance requirements for contingency planning (SOC 2, HIPAA, FedRAMP, ISO 27001)

RTO/RPO Planning

recovery_metrics:
  RTO:
    definition: "Recovery Time Objective - maximum acceptable downtime"
    measurement: "From incident declaration to service restoration"
    factors:
      - Failover automation maturity
      - Data replication lag
      - DNS propagation time
      - Application warm-up time
      - Verification procedures

  RPO:
    definition: "Recovery Point Objective - maximum acceptable data loss"
    measurement: "Time gap between last good backup and the incident"
    factors:
      - Backup frequency
      - Replication method (sync vs. async)
      - Transaction log shipping interval
      - Cross-region replication lag

service_tier_targets:
  tier_1_critical:
    examples: "Authentication, payment processing, core API"
    rto: "< 15 minutes"
    rpo: "< 1 minute (near-zero)"
    strategy: "Multi-site active-active or warm standby"
    replication: "Synchronous or near-synchronous"
    testing: "Quarterly failover test"

  tier_2_essential:
    examples: "Customer dashboards, reporting, notifications"
    rto: "< 1 hour"
    rpo: "< 15 minutes"
    strategy: "Warm standby or pilot light"
    replication: "Asynchronous with short interval"
    testing: "Semi-annual failover test"

  tier_3_standard:
    examples: "Internal tools, analytics, batch processing"
    rto: "< 4 hours"
    rpo: "< 1 hour"
    strategy: "Pilot light or backup and restore"
    replication: "Periodic snapshots"
    testing: "Annual failover test"

  tier_4_non_essential:
    examples: "Development environments, documentation sites"
    rto: "< 24 hours"
    rpo: "< 24 hours"
    strategy: "Backup and restore"
    replication: "Daily backups"
    testing: "Annual backup restore verification"

DR Strategies Comparison

strategies:
  backup_and_restore:
    rto: "Hours"
    rpo: "Hours (depends on backup frequency)"
    cost: "$"
    description: "Regular backups stored in DR region. Restore from backup when needed."
    aws_services:
      - "S3 cross-region replication for backups"
      - "RDS automated snapshots copied to DR region"
      - "AMI copies in DR region"
      - "Terraform/CloudFormation for infrastructure rebuild"
    pros: "Lowest cost, simplest to maintain"
    cons: "Longest recovery time, highest data loss potential"

  pilot_light:
    rto: "Minutes to hours"
    rpo: "Minutes"
    cost: "$$"
    description: "Core infrastructure running in DR region (databases replicated). Scale up compute on failover."
    aws_services:
      - "RDS cross-region read replica (always running)"
      - "S3 cross-region replication"
      - "AMIs pre-built in DR region"
      - "Auto Scaling groups at zero/minimal capacity"
    pros: "Fast database recovery, moderate cost"
    cons: "Compute scale-up adds to recovery time"

  warm_standby:
    rto: "Minutes"
    rpo: "Seconds to minutes"
    cost: "$$$"
    description: "Scaled-down but functional environment in DR region. Scale up on failover."
    aws_services:
      - "RDS cross-region read replica"
      - "ECS/EKS running at reduced capacity"
      - "Route53 health checks for automated DNS failover"
      - "Global Accelerator for traffic management"
    pros: "Fast failover, reduced risk"
    cons: "Higher baseline cost for idle resources"

  multi_site_active:
    rto: "Near-zero"
    rpo: "Near-zero"
    cost: "$$$$"
    description: "Active-active across regions. Traffic served from both regions simultaneously."
    aws_services:
      - "DynamoDB Global Tables or Aurora Global Database"
      - "Route53 latency/weighted routing"
      - "CloudFront with multi-origin"
      - "Global Accelerator"
      - "ECS/EKS in both regions"
    pros: "Minimal downtime and data loss"
    cons: "Highest cost, most complex to operate"

AWS Cross-Region DR Implementation

# === Database Replication ===

# Create cross-region RDS read replica
aws rds create-db-instance-read-replica \
  --db-instance-identifier prod-db-dr-replica \
  --source-db-instance-identifier arn:aws:rds:us-east-1:123456789012:db:prod-db \
  --db-instance-class db.r6g.large \
  --region us-west-2 \
  --kms-key-id arn:aws:kms:us-west-2:123456789012:alias/rds-dr-key \
  --multi-az \
  --tags Key=Purpose,Value=DR Key=Environment,Value=production

# Create Aurora Global Database for near-zero RPO
aws rds create-global-cluster \
  --global-cluster-identifier prod-global-db \
  --source-db-cluster-identifier arn:aws:rds:us-east-1:123456789012:cluster:prod-aurora-cluster \
  --region us-east-1

# Add secondary region to Aurora Global Database
aws rds create-db-cluster \
  --db-cluster-identifier prod-aurora-dr \
  --global-cluster-identifier prod-global-db \
  --engine aurora-postgresql \
  --region us-west-2 \
  --kms-key-id arn:aws:kms:us-west-2:123456789012:alias/aurora-dr-key

# === Storage Replication ===

# S3 cross-region replication
cat > /tmp/replication-config.json << 'EOF'
{
  "Role": "arn:aws:iam::123456789012:role/s3-replication-role",
  "Rules": [
    {
      "ID": "ReplicateAll",
      "Status": "Enabled",
      "Filter": {"Prefix": ""},
      "Destination": {
        "Bucket": "arn:aws:s3:::prod-data-dr-usw2",
        "StorageClass": "STANDARD",
        "EncryptionConfiguration": {
          "ReplicaKmsKeyID": "arn:aws:kms:us-west-2:123456789012:alias/s3-dr-key"
        }
      },
      "DeleteMarkerReplication": {"Status": "Enabled"}
    }
  ]
}
EOF

aws s3api put-bucket-replication \
  --bucket prod-data-use1 \
  --replication-configuration file:///tmp/replication-config.json

# === DNS Failover ===

# Route53 health check for primary region
aws route53 create-health-check --caller-reference "prod-health-$(date +%s)" \
  --health-check-config '{
    "Type": "HTTPS",
    "FullyQualifiedDomainName": "api.example.com",
    "Port": 443,
    "ResourcePath": "/health",
    "RequestInterval": 10,
    "FailureThreshold": 3,
    "EnableSNI": true
  }'

# Configure failover routing
aws route53 change-resource-record-sets --hosted-zone-id Z123456 \
  --change-batch '{
    "Changes": [
      {
        "Action": "UPSERT",
        "ResourceRecordSet": {
          "Name": "api.example.com",
          "Type": "A",
          "SetIdentifier": "primary",
          "Failover": "PRIMARY",
          "AliasTarget": {
            "HostedZoneId": "Z1234PRIMARY",
            "DNSName": "primary-alb.us-east-1.elb.amazonaws.com",
            "EvaluateTargetHealth": true
          },
          "HealthCheckId": "health-check-id-primary"
        }
      },
      {
        "Action": "UPSERT",
        "ResourceRecordSet": {
          "Name": "api.example.com",
          "Type": "A",
          "SetIdentifier": "secondary",
          "Failover": "SECONDARY",
          "AliasTarget": {
            "HostedZoneId": "Z5678SECONDARY",
            "DNSName": "dr-alb.us-west-2.elb.amazonaws.com",
            "EvaluateTargetHealth": true
          }
        }
      }
    ]
  }'

Failover Script

#!/usr/bin/env bash
# dr-failover.sh - Execute disaster recovery failover to DR region
set -euo pipefail

DR_REGION="us-west-2"
PRIMARY_REGION="us-east-1"
SLACK_WEBHOOK="${DR_SLACK_WEBHOOK}"
LOG_FILE="/var/log/dr-failover-$(date +%Y%m%d-%H%M%S).log"

log() {
  echo "[$(date -u +%Y-%m-%dT%H:%M:%SZ)] $1" | tee -a "$LOG_FILE"
}

notify() {
  curl -s -X POST "$SLACK_WEBHOOK" \
    -H "Content-Type: application/json" \
    -d "{\"text\":\"DR FAILOVER: $1\"}" > /dev/null
}

log "=== DR Failover Initiated ==="
notify "DR failover initiated to $DR_REGION"

# Step 1: Promote RDS read replica
log "Step 1: Promoting RDS read replica in $DR_REGION"
aws rds promote-read-replica \
  --db-instance-identifier prod-db-dr-replica \
  --region "$DR_REGION"
log "Waiting for RDS promotion to complete..."
aws rds wait db-instance-available \
  --db-instance-identifier prod-db-dr-replica \
  --region "$DR_REGION"
log "RDS promotion complete"
notify "RDS read replica promoted to primary in $DR_REGION"

# Step 2: Scale up application in DR region
log "Step 2: Scaling up application in $DR_REGION"
aws ecs update-service \
  --cluster prod-cluster-dr \
  --service api-service \
  --desired-count 4 \
  --region "$DR_REGION"
log "Waiting for ECS service to stabilize..."
aws ecs wait services-stable \
  --cluster prod-cluster-dr \
  --services api-service \
  --region "$DR_REGION"
log "ECS service scaled up and stable"
notify "Application scaled up in $DR_REGION"

# Step 3: Verify health
log "Step 3: Verifying health in $DR_REGION"
for i in $(seq 1 10); do
  STATUS=$(curl -s -o /dev/null -w "%{http_code}" "https://dr-alb.us-west-2.elb.amazonaws.com/health")
  if [ "$STATUS" = "200" ]; then
    log "Health check passed (attempt $i)"
    break
  fi
  log "Health check failed (attempt $i, status $STATUS), retrying..."
  sleep 10
done

if [ "$STATUS" != "200" ]; then
  log "ERROR: Health check failed after 10 attempts"
  notify "ALERT: DR health check failing - manual intervention required"
  exit 1
fi

# Step 4: Update DNS (if not using automatic Route53 failover)
log "Step 4: DNS failover (Route53 automatic failover should handle this)"
log "Verifying DNS resolution..."
DR_IP=$(dig +short api.example.com)
log "api.example.com resolves to: $DR_IP"

# Step 5: Verify end-to-end
log "Step 5: End-to-end verification"
RESPONSE=$(curl -s "https://api.example.com/health")
log "Health response: $RESPONSE"

log "=== DR Failover Complete ==="
notify "DR failover to $DR_REGION complete. Service restored."

# Generate failover report
cat > "/var/log/dr-failover-report-$(date +%Y%m%d).md" << EOF
# DR Failover Report
- **Date:** $(date -u +%Y-%m-%dT%H:%M:%SZ)
- **Primary Region:** $PRIMARY_REGION
- **DR Region:** $DR_REGION
- **RTO Actual:** Calculate from incident declaration
- **RPO Actual:** Check replication lag at time of incident
- **Status:** Operational in DR region
- **Actions Required:**
  - [ ] Monitor error rates and latency
  - [ ] Plan failback when primary region is restored
  - [ ] Conduct post-incident review
EOF

DR Testing Procedures

dr_test_types:
  tabletop_exercise:
    frequency: Quarterly
    duration: "1-2 hours"
    participants: "Engineering, SRE, management, communications"
    process:
      - Present a disaster scenario (region outage, data corruption, etc.)
      - Walk through the response step by step
      - Identify gaps in runbooks and communication plans
      - Document action items
    output: "Tabletop exercise report with findings and action items"

  component_failover:
    frequency: Monthly
    duration: "1-4 hours"
    scope: "Individual component failover (database, single service)"
    process:
      - Select component for testing
      - Execute failover procedure from runbook
      - Measure actual RTO and RPO
      - Execute failback procedure
      - Document results
    output: "Component test report with measured RTO/RPO"

  full_failover:
    frequency: Annually
    duration: "4-8 hours (scheduled maintenance window)"
    scope: "Complete regional failover of all tier 1 and tier 2 services"
    process:
      1_preparation:
        - Schedule maintenance window and notify stakeholders
        - Verify DR environment is healthy
        - Brief all participating teams
        - Set up war room communication channel
      2_execute:
        - Simulate primary region failure
        - Execute failover runbooks for all services
        - Record timestamps at each milestone
      3_verify:
        - Run end-to-end test suite against DR environment
        - Verify data consistency
        - Check monitoring and alerting in DR region
        - Confirm external integrations work
      4_failback:
        - Restore primary region
        - Re-establish replication
        - Execute failback to primary
        - Verify data consistency post-failback
      5_report:
        - Document actual RTO and RPO for each service
        - Compare against targets
        - List all issues encountered
        - Create action items for improvements
    output: "Full DR test report with measured vs. target metrics"

dr_test_checklist:
  before_test:
    - [ ] Test plan documented and approved
    - [ ] Maintenance window scheduled and communicated
    - [ ] All DR runbooks reviewed and updated
    - [ ] DR environment health verified
    - [ ] Monitoring configured in DR region
    - [ ] Communication channel established
    - [ ] Rollback plan confirmed

  during_test:
    - [ ] Timestamps recorded for each step
    - [ ] Screenshots captured for evidence
    - [ ] Issues logged in real-time
    - [ ] Data consistency verified
    - [ ] External integrations tested
    - [ ] Health checks passing in DR

  after_test:
    - [ ] Failback completed successfully
    - [ ] Primary region replication re-established
    - [ ] Data consistency verified post-failback
    - [ ] Test report written with metrics
    - [ ] Action items created and assigned
    - [ ] Runbooks updated based on findings
    - [ ] Results presented to management

Terraform DR Infrastructure

# DR region infrastructure
provider "aws" {
  alias  = "dr"
  region = "us-west-2"
}

resource "aws_db_instance" "dr_replica" {
  provider               = aws.dr
  identifier             = "prod-db-dr-replica"
  replicate_source_db    = aws_db_instance.primary.arn
  instance_class         = "db.r6g.large"
  storage_encrypted      = true
  kms_key_id             = aws_kms_key.dr_rds.arn
  multi_az               = true
  deletion_protection    = true
  skip_final_snapshot    = false

  tags = {
    Purpose     = "DR"
    Environment = "production"
  }
}

resource "aws_route53_health_check" "primary" {
  fqdn              = "primary-alb.us-east-1.elb.amazonaws.com"
  port               = 443
  type               = "HTTPS"
  resource_path      = "/health"
  failure_threshold  = 3
  request_interval   = 10
  enable_sni         = true

  tags = {
    Name = "primary-health-check"
  }
}

resource "aws_route53_record" "failover_primary" {
  zone_id        = aws_route53_zone.main.zone_id
  name           = "api.example.com"
  type           = "A"
  set_identifier = "primary"

  failover_routing_policy {
    type = "PRIMARY"
  }

  alias {
    name                   = aws_lb.primary.dns_name
    zone_id                = aws_lb.primary.zone_id
    evaluate_target_health = true
  }

  health_check_id = aws_route53_health_check.primary.id
}

resource "aws_route53_record" "failover_secondary" {
  zone_id        = aws_route53_zone.main.zone_id
  name           = "api.example.com"
  type           = "A"
  set_identifier = "secondary"

  failover_routing_policy {
    type = "SECONDARY"
  }

  alias {
    name                   = aws_lb.dr.dns_name
    zone_id                = aws_lb.dr.zone_id
    evaluate_target_health = true
  }
}

DR Compliance Checklist

dr_compliance_checklist:
  planning:
    - [ ] RTO and RPO targets defined per service tier
    - [ ] DR strategy selected based on targets and budget
    - [ ] DR architecture documented with diagrams
    - [ ] Failover and failback runbooks written
    - [ ] Communication plan for DR events documented
    - [ ] DR roles and responsibilities assigned

  implementation:
    - [ ] Cross-region database replication configured
    - [ ] Storage replication configured (S3, EBS snapshots)
    - [ ] DNS failover routing configured
    - [ ] DR region infrastructure provisioned (IaC)
    - [ ] Monitoring and alerting configured in DR region
    - [ ] Secrets and credentials available in DR region

  testing:
    - [ ] Tabletop exercises conducted quarterly
    - [ ] Component failover tests conducted monthly
    - [ ] Full failover test conducted annually
    - [ ] Actual RTO/RPO measured and compared to targets
    - [ ] Test results documented and reviewed
    - [ ] Runbooks updated based on test findings

  operational:
    - [ ] Replication lag monitored with alerting
    - [ ] DR environment health checked regularly
    - [ ] Backup integrity verified monthly
    - [ ] DR runbooks reviewed and updated quarterly
    - [ ] DR test evidence archived for compliance audits

Best Practices

  • Define RTO and RPO targets based on business impact analysis, not technical convenience
  • Choose the DR strategy that matches your targets and budget: do not over-engineer or under-invest
  • Automate failover as much as possible to reduce human error and recovery time
  • Test DR procedures regularly at increasing levels of complexity (tabletop, component, full)
  • Measure actual RTO and RPO during tests and compare against targets every time
  • Include failback procedures in your DR plan: getting back to normal is as important as failing over
  • Monitor replication lag continuously and alert when it exceeds RPO thresholds
  • Keep DR infrastructure managed by the same IaC as production to prevent configuration drift
  • Practice DR in non-emergency conditions so the team is prepared when a real disaster occurs
  • Archive DR test results as compliance evidence for SOC 2, HIPAA, and other frameworks

Related skills

FAQ

What is the difference between RTO and RPO?

RTO is the maximum acceptable downtime from incident to restoration, while RPO is the maximum acceptable data loss measured as the gap between the last good backup and the incident.

Which DR strategy gives near-zero downtime?

Multi-site active-active, serving traffic from both regions with DynamoDB Global Tables or Aurora Global Database, but it is the highest cost and most complex.

DevOps & CI/CDinfradeploy

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.