Multi-Region DR as Code (DRaaC): Building Resilient Cloud Architectures for Israeli Enterprises
Published December 2, 2025 • 18 min read
Why Disaster Recovery as Code?
In today's always-on digital economy, downtime is not an option. For Israeli enterprises, regulatory requirements, cyber threats, and geopolitical risks make robust disaster recovery (DR) a business imperative. Traditional DR approaches are slow, manual, and error-prone. Disaster Recovery as Code (DRaaC) leverages Infrastructure as Code (IaC) tools like Terraform to automate, test, and document DR processes—ensuring rapid, reliable recovery across multiple cloud regions.
The traditional approach to disaster recovery treats it as a separate concern—manual runbooks stored in wikis, recovery environments built ad-hoc during crises, and testing that happens annually if at all. DRaaC fundamentally changes this by making disaster recovery an integral part of your infrastructure code, tested continuously and deployed automatically.
When disaster strikes, every minute counts. Organizations with codified DR procedures can initiate recovery automatically or with a single command, while those relying on manual processes scramble to find documentation, remember procedures, and provision infrastructure by hand. The difference often translates to hours versus days of downtime.
Key Concepts: RTO, RPO, and Multi-Region Resilience
Recovery Time Objective (RTO) is the maximum acceptable downtime after a failure—how quickly you need to be back online. Recovery Point Objective (RPO) is the maximum acceptable data loss—how much data you can afford to lose, measured in time since the last successful backup or replication.
These metrics drive your architecture decisions. Achieving sub-minute RTO requires active-active multi-region deployment with automatic failover. Achieving near-zero RPO requires synchronous data replication, which introduces latency and cost trade-offs. Most organizations land somewhere in between, with RTO measured in minutes to hours and RPO measured in seconds to minutes.
Understanding your business requirements is essential before designing DR architecture. Not all workloads require the same level of protection—classify your systems by criticality and define appropriate RTO/RPO targets for each tier.
Typical RTO/RPO Targets by Workload Type
- Mission Critical (Payment Processing): RTO <1 min, RPO ~0
- Business Critical (Core Applications): RTO 15-60 min, RPO <5 min
- Business Operational (Internal Tools): RTO 4-24 hrs, RPO <1 hr
- Administrative (Archives, Backups): RTO 24-72 hrs, RPO <24 hrs
Multi-Region Architecture Patterns
Choosing the right multi-region architecture depends on your RTO/RPO requirements, budget, and operational complexity tolerance. Each pattern represents a different trade-off between cost, complexity, and recovery speed. Understanding these patterns helps you make informed decisions about your DR strategy.
Backup and Restore
The simplest and lowest-cost approach. Data is backed up to a secondary region, and infrastructure is provisioned from scratch during recovery. Best for non-critical workloads where extended downtime is acceptable. This pattern requires minimal ongoing costs but has the longest recovery time.
RTO: Hours to days | RPO: Hours | Cost: Very Low
Pilot Light
Core services (databases, critical data stores) run continuously in the DR region with minimal compute. During failover, additional resources are provisioned and scaled up. This approach balances cost with reasonable recovery times and is popular for business-critical applications.
RTO: 30 min - 4 hrs | RPO: Minutes | Cost: Low-Medium
Warm Standby
A scaled-down but fully functional copy of production runs in the DR region. During failover, the environment is scaled up to handle full production load. This provides faster recovery than pilot light while keeping costs manageable.
RTO: 10-30 min | RPO: Seconds-Minutes | Cost: Medium
Multi-Site Active/Active
Full production capacity runs in multiple regions simultaneously, with traffic distributed across all sites. Provides near-instant failover since there's no infrastructure to provision—traffic is simply redirected. This is the gold standard for mission-critical applications.
RTO: Seconds | RPO: Near-zero | Cost: High
Automating Failover with Terraform
With Terraform, you can define DR environments as code, including VPCs, databases, storage, and DNS failover policies. By integrating with cloud-native services (Route 53, Cloud SQL, etc.), you can orchestrate seamless failover and failback, reducing manual intervention and human error.
DNS-based failover using Route 53 health checks provides the foundation for automatic traffic redirection. When health checks detect the primary region is unavailable, Route 53 automatically routes traffic to the secondary region. This can be combined with Terraform-driven infrastructure provisioning for pilot light and warm standby patterns.
The key is creating reusable modules that can provision identical environments across regions, with configuration variables controlling regional differences. This ensures consistency between your production and DR environments, eliminating configuration drift that can cause recovery failures.
# Route 53 Health Check and Failover Configuration
resource "aws_route53_health_check" "primary" {
fqdn = "api-primary.example.com"
port = 443
type = "HTTPS"
resource_path = "/health"
failure_threshold = 3
request_interval = 10
tags = {
Name = "primary-region-health-check"
}
}
resource "aws_route53_record" "api" {
zone_id = aws_route53_zone.main.zone_id
name = "api.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
}
}
resource "aws_route53_record" "api_secondary" {
zone_id = aws_route53_zone.main.zone_id
name = "api.example.com"
type = "A"
failover_routing_policy {
type = "SECONDARY"
}
set_identifier = "secondary"
alias {
name = aws_lb.secondary.dns_name
zone_id = aws_lb.secondary.zone_id
evaluate_target_health = true
}
}Database Replication Strategies
Databases are typically the most complex component of DR planning due to their stateful nature. The choice of replication strategy directly impacts your achievable RPO and the complexity of failover procedures.
Synchronous replication ensures data is written to both primary and secondary before acknowledging the write to the application. This provides near-zero RPO but introduces latency, especially across distant regions. AWS Aurora Global Database and Azure SQL Geo-Replication offer managed synchronous options.
Asynchronous replication acknowledges writes immediately and replicates in the background. This provides better performance but means the secondary may lag behind the primary, resulting in potential data loss during failover. Most RDS read replicas use asynchronous replication.
# Aurora Global Database with automatic failover
resource "aws_rds_global_cluster" "main" {
global_cluster_identifier = "company-global-db"
engine = "aurora-postgresql"
engine_version = "15.4"
database_name = "production"
storage_encrypted = true
}
resource "aws_rds_cluster" "primary" {
cluster_identifier = "company-db-primary"
global_cluster_identifier = aws_rds_global_cluster.main.id
engine = aws_rds_global_cluster.main.engine
engine_version = aws_rds_global_cluster.main.engine_version
db_subnet_group_name = aws_db_subnet_group.primary.name
# Primary region configuration
availability_zones = ["eu-central-1a", "eu-central-1b", "eu-central-1c"]
}
resource "aws_rds_cluster" "secondary" {
provider = aws.secondary
cluster_identifier = "company-db-secondary"
global_cluster_identifier = aws_rds_global_cluster.main.id
engine = aws_rds_global_cluster.main.engine
engine_version = aws_rds_global_cluster.main.engine_version
db_subnet_group_name = aws_db_subnet_group.secondary.name
# DR region - automatically replicates from primary
availability_zones = ["eu-west-1a", "eu-west-1b", "eu-west-1c"]
depends_on = [aws_rds_cluster.primary]
}Game Days: Testing Your DR Plan
A DR plan is only as good as its last test. "Game Days" are scheduled simulations of disaster scenarios—region failure, data corruption, DDoS attacks—where teams execute the DRaaC playbook and measure actual RTO/RPO performance against targets. Without regular testing, you won't know if your DR plan works until you need it most.
Automated testing with chaos engineering platforms like AWS Fault Injection Simulator, Gremlin, or Chaos Monkey ensures your DR plan works when it matters most. These tools can simulate various failure modes: network partitions, service outages, resource exhaustion, and entire availability zone failures.
Start with table-top exercises where teams walk through scenarios verbally before introducing actual infrastructure failures. Progress to controlled tests during low-traffic periods, then eventually to unannounced drills that truly test your organization's readiness.
Game Day Best Practices
- Start with table-top exercises before running live tests
- Schedule regular Game Days (quarterly minimum) with increasing complexity
- Measure actual RTO/RPO and compare to targets
- Document all issues discovered and track remediation
- Include all stakeholders—not just infrastructure team
- Run Game Days during business hours initially, then progress to off-hours
- Create blameless post-mortems to capture lessons learned
Israeli Context: Compliance, Security, and Local Cloud Regions
Israeli organizations must comply with various regulations including Bank of Israel directives, PPR (Privacy Protection Regulations), and GDPR for handling EU data. DRaaC helps address these requirements by providing automated documentation, consistent control implementation, and audit-ready evidence collection.
With the arrival of AWS Israel region (Tel Aviv) and Google Cloud's planned expansion, multi-region DR is more accessible and cost-effective than ever. Organizations can now implement DR between local and European regions with reduced latency and clearer data residency compliance. The proximity of European regions (Frankfurt, Ireland) makes them natural DR targets for Israeli workloads.
Regulatory requirements often mandate that organizations can demonstrate their DR capabilities through documented tests. DRaaC naturally produces this evidence through version-controlled configurations, automated test results, and infrastructure state files that serve as proof of compliance.
Complete Terraform DR Module Example
A well-designed DR module encapsulates all the complexity of multi-region deployment into reusable, configurable components. Here's an example of how to structure a comprehensive DR module:
# Complete DR Module with configurable RTO/RPO
module "dr_infrastructure" {
source = "./modules/disaster-recovery"
# Region configuration
primary_region = "eu-central-1" # Frankfurt
secondary_region = "eu-west-1" # Ireland
# RTO/RPO targets drive architecture decisions
rto_minutes = 15
rpo_minutes = 5
# DR pattern selection based on requirements
dr_pattern = "warm_standby" # backup_restore | pilot_light | warm_standby | active_active
# Scaling configuration for secondary region
secondary_scale_percent = 25 # Run at 25% capacity, scale up during failover
# Failover configuration
enable_auto_failover = true
health_check_interval = 10
health_check_threshold = 3
# Data replication
database_replication = "async" # sync | async
s3_replication = true
# Notification
alert_sns_topic = aws_sns_topic.alerts.arn
}
output "primary_endpoint" {
value = module.dr_infrastructure.primary_endpoint
}
output "failover_dns" {
value = module.dr_infrastructure.failover_dns_name
}
output "dr_runbook_url" {
value = module.dr_infrastructure.runbook_url
}Frequently Asked Questions
The choice depends on RTO/RPO requirements and budget. Backup & Restore (hours RTO, very low cost) suits non-critical workloads. Pilot Light (30min-4hr RTO, low-medium cost) balances cost and recovery time. Warm Standby (10-30min RTO, medium cost) provides faster recovery. Active-Active (seconds RTO, high cost) is for mission-critical systems requiring near-zero downtime.
We recommend automated DR validation continuously in CI/CD, table-top exercises monthly, and full Game Day drills quarterly. Start with controlled tests during low-traffic periods, then progress to unannounced drills that truly test organizational readiness. Always measure actual RTO/RPO against targets and document lessons learned.
For AWS, the new Israel (Tel Aviv) region can be primary, with Frankfurt (eu-central-1) or Ireland (eu-west-1) as DR targets. The geographic separation provides true disaster resilience while the proximity keeps data replication latency acceptable. For Google Cloud, europe-west1 (Belgium) or europe-west3 (Frankfurt) are common DR choices for Israeli workloads.
DRaaC provides automated documentation through version-controlled infrastructure definitions, proving your DR capabilities to auditors. Game Day results demonstrate tested RTO/RPO achievement. The code itself serves as documentation of procedures. This simplifies compliance with Bank of Israel directives, PPR, and other regulations requiring documented and tested business continuity plans.
HostingX IL: DRaaC Services
HostingX IL offers comprehensive DRaaC services for Israeli enterprises, including DR architecture assessments, Terraform module development, Game Day facilitation, and 24/7 managed DR operations. Our team has deep experience implementing multi-region disaster recovery for regulated industries including fintech, healthcare, and government contractors.
Ready to Build Resilient Infrastructure?
Contact HostingX IL for a free DRaaC assessment and learn how we can help you achieve your RTO/RPO targets with automated disaster recovery.
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