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Multi-Region Cloud Platform Architecture
Architected multi-region AWS/Azure platforms achieving 99.95% uptime with high availability and disaster recovery
AWSAzureKubernetesEKSAKSTerraformHigh Availability
Problem
The organization needed a highly available, scalable cloud platform that could support critical business operations across multiple regions. Key challenges included:
- Single point of failure - existing infrastructure lacked redundancy
- Regional compliance requirements - needed to serve customers in multiple geographic regions
- Disaster recovery gaps - no automated failover capabilities
- Scalability limitations - unable to handle traffic growth and regional expansion
- High availability requirements - needed 99.95% uptime SLA
Solution Approach
I architected and implemented a multi-region cloud platform spanning AWS and Azure:
- Multi-region deployment - active-active configuration across AWS and Azure regions
- Kubernetes orchestration - EKS on AWS and AKS on Azure for consistent container management
- Terraform infrastructure as code - version-controlled, reproducible infrastructure
- Cross-region replication - automated data synchronization and failover
- Global load balancing - intelligent traffic routing based on latency and availability
- Automated disaster recovery - RTO < 5 minutes, RPO < 1 minute
Architecture
The multi-region architecture includes:
- EKS clusters in AWS regions (us-east-1, eu-west-1) with multi-AZ node groups
- AKS clusters in Azure regions (East US, West Europe) for redundancy
- Cross-cloud networking - VPN and ExpressRoute connections between clouds
- Database replication - RDS Multi-AZ and Azure SQL with geo-replication
- Global Traffic Manager - DNS-based routing with health checks
- Monitoring and alerting - unified observability across both clouds
Implementation Details
Multi-Region Setup
Implemented active-active configuration:
- Primary regions: AWS us-east-1 and Azure East US
- Secondary regions: AWS eu-west-1 and Azure West Europe
- Synchronous replication for critical data
- Asynchronous replication for non-critical workloads
Kubernetes Orchestration
Configured EKS and AKS clusters with:
- Multi-AZ node groups for high availability within regions
- Horizontal Pod Autoscaling based on CPU and custom metrics
- Cluster Autoscaling to handle traffic spikes
- Network policies for security isolation
- Service mesh for inter-service communication
Disaster Recovery
Implemented automated failover:
- Health checks every 30 seconds across all regions
- Automatic DNS failover when primary region becomes unavailable
- Data replication with minimal latency
- Automated testing of DR procedures monthly
Infrastructure as Code
All infrastructure managed with Terraform:
- Version-controlled infrastructure definitions
- Environment parity - dev, staging, production
- Automated provisioning via CI/CD pipelines
- Compliance validation built into deployment process
Results + Metrics
The multi-region platform achieved:
- 99.95% uptime - exceeded SLA requirements
- < 5 minute RTO - rapid recovery from regional failures
- Zero data loss - RPO < 1 minute for critical systems
- Global reach - serving customers across multiple continents
- Cost optimization - 30% reduction through right-sizing and reserved instances
The platform now provides enterprise-grade reliability and can seamlessly handle regional outages while maintaining service continuity.