Multi-Cloud Connectivity: AWS ↔ Azure
Break down cloud silos and unlock the power of multi-cloud architecture. Our Terraform module creates secure, seamless connectivity between your AWS and Azure environments, enabling true hybrid cloud applications.
Why Multi-Cloud?
🌐 Best of Both Worlds - Use AWS services where they excel and Azure
services where they shine
🔄 Avoid Vendor Lock-in - Maintain flexibility and negotiating power with
cloud providers
🛡️ Enhanced Resilience - Distribute workloads across multiple cloud
providers for ultimate reliability
📈 Strategic Flexibility - Adapt to changing business needs, acquisitions,
or compliance requirements
💰 Cost Optimization - Leverage competitive pricing and specialized services
from both clouds
What You Get
✅ Unified Network - Your AWS and Azure resources communicate as if on the
same network
✅ Cross-Cloud DNS - Resolve private hostnames seamlessly across both
clouds
✅ Zero Configuration Routing - Automatic route management between
environments
✅ Enterprise Security - Encrypted IPSec tunnels with BGP routing
✅ High Availability Options - Redundant connections for mission-critical
workloads
Multi-Cloud Use Cases
🚀 Hybrid Applications
Run your frontend on Azure App Service while leveraging AWS Lambda for serverless compute, or use Azure AI services with data stored in AWS S3.
🔄 Cloud Migration & Modernization
Gradually migrate workloads between clouds without disrupting operations:
- Phase 1: Establish connectivity between existing AWS infrastructure and new Azure services
- Phase 2: Migrate services incrementally while maintaining integration
- Phase 3: Optimize workload placement based on performance and cost
🛡️ Disaster Recovery & Business Continuity
- Primary: Run production workloads on AWS
- Secondary: Maintain hot standby on Azure with real-time data replication
- Failover: Seamlessly switch to Azure during AWS outages
📊 Data & Analytics Pipelines
- Collect data in AWS S3 and process it with Azure Synapse Analytics
- Use AWS Redshift for data warehousing and Azure Power BI for visualization
- Leverage Azure Cognitive Services with data stored in AWS
Multi-Cloud Architecture
How It Works
The module creates secure IPSec tunnels between your AWS VPC and Azure Virtual Network, establishing a private "bridge" between clouds:
Development Configuration
Single VPN Connection - Perfect for:
- Development and testing environments
- Proof of concepts and prototypes
- Small-scale multi-cloud applications
- Cost-conscious implementations
High Availability Configuration
Redundant VPN Connections - Essential for:
- Production multi-cloud applications
- Mission-critical workloads
- Enterprise disaster recovery
- 24/7 business operations
Building Your Multi-Cloud Infrastructure
Step 1: Multi-Cloud Prerequisites
✅ AWS Environment Ready
- VPC with private subnets and route tables
- NAT Gateway configured (
nat_gateway_count ≥ 1
for development) - Appropriate IAM permissions for VPN resources
✅ Azure Environment Ready
- Virtual Network with Gateway Subnet (minimum /27 size)
- Resource group for network resources
- Appropriate RBAC permissions
✅ Network Planning
- Non-overlapping CIDR blocks between AWS and Azure
- DNS zone strategy for cross-cloud resolution
- Security group and NSG rules for inter-cloud traffic
For example, an AWS VPC with 10.0.0.0/16
as a CIDR doesn't overlap with your
Azure VNet CIDR 10.1.0.0/16
.
This is critical for routing to work correctly.
Use tools to compute non overlapping CIDRs.
Step 2: Choose Your Implementation Path
For Development & Testing:
- Single VPN connection for cost optimization
- Perfect for prototyping and small-scale applications
- 📖 View Development Example →
For Production & Enterprise:
- High availability with redundant connections
- Mission-critical workloads and 24/7 operations
- 📖 View Complete Example →
Step 3: Deploy with Terraform
# 1. Clone the examples
git clone https://github.com/pagopa/dx.git
cd dx/infra/modules/aws_azure_vpn/examples/development
# 2. Configure your variables
cp terraform.tfvars.example terraform.tfvars
# Edit terraform.tfvars with your AWS/Azure details
# 3. Deploy your multi-cloud connectivity
terraform init
terraform plan
terraform apply
Step 4: Validate Multi-Cloud Connectivity
After deployment, verify your setup:
- ✅ Check VPN tunnel status in both AWS and Azure consoles
- ✅ Test cross-cloud ping between resources
- ✅ Verify DNS resolution across clouds
- ✅ Monitor tunnel health and performance
Getting Started
Ready to implement multi-cloud connectivity? Choose your path:
📚 Complete Documentation - Detailed module documentation
⚙️ Configuration Examples - Ready-to-use Terraform configurations
📦 Terraform Registry - Official module registry page
Multi-Cloud Troubleshooting
"Cross-cloud communication isn't working"
Multi-cloud specific checks:
- Network Isolation: Verify CIDR blocks don't overlap between AWS (e.g., 10.0.0.0/16) and Azure (e.g., 10.1.0.0/16)
- Security Boundaries: Check security groups (AWS) and NSGs (Azure) allow cross-cloud traffic
- VPN Status: Confirm tunnels are established in both AWS and Azure consoles
- Wait Period: Multi-cloud connections take 15-20 minutes to fully establish
"DNS resolution across clouds failing"
Cross-cloud DNS troubleshooting:
- Zone Configuration: Ensure DNS zones are correctly specified for both clouds
- Forwarder Connectivity: Verify Azure DNS forwarder IP is reachable from AWS
- Resolution Test: Try resolving by IP first, then by hostname
- Propagation Time: DNS changes can take several minutes to propagate across clouds
"High availability not working in multi-cloud setup"
Enterprise multi-cloud checks:
- Gateway Capacity: Ensure Azure VPN Gateway supports active-active mode
- IP Allocation: Verify sufficient public IP addresses are available
- Tunnel Health: Check that all VPN tunnels show "Connected" status
- Load Distribution: Confirm traffic is properly distributed across tunnels
Validating Your Multi-Cloud Setup
After deployment, test your multi-cloud connectivity:
1. Network Connectivity Test
# From AWS EC2 instance, ping Azure VM private IP
ping 10.1.1.100
# From Azure VM, ping AWS EC2 private IP
ping 10.0.1.100
2. Cross-Cloud DNS Test
# Resolve Azure private DNS from AWS
nslookup myapp.azure.internal
# Resolve AWS private DNS from Azure
nslookup myapp.aws.internal
3. Application Integration Test
- Deploy a simple application spanning both clouds
- Test database connections across clouds
- Verify API calls between AWS and Azure services
Multi-Cloud Best Practices
🏗️ Architecture Patterns
- Microservices: Deploy services on the cloud that best fits their requirements
- Data Locality: Keep data close to processing to minimize latency
- Failure Domains: Distribute critical components across clouds for resilience
🔒 Security Considerations
- Network Segmentation: Use separate subnets for cross-cloud communication
- Encryption: All traffic flows through encrypted IPSec tunnels
- Access Control: Implement strict IAM/RBAC policies on both clouds
📊 Monitoring & Observability
- Monitor VPN tunnel health on both AWS and Azure
- Set up alerts for connection failures
- Track cross-cloud traffic patterns and costs
- Use distributed tracing for multi-cloud applications
What's Next in Your Multi-Cloud Journey?
After your VPN connection is established:
- Test connectivity - Try pinging between your AWS and Azure resources using private IPs
- Design Multi-Cloud Applications - Plan your architecture to leverage the best of both clouds
- Implement Cross-Cloud Data Sync - Set up data replication strategies
- Build Multi-Cloud CI/CD - Deploy to both clouds from a single pipeline
- Monitor Multi-Cloud Performance - Track latency, costs, and reliability across clouds
- Scale Globally - Expand to additional regions in both AWS and Azure
Learn More
📚 Documentation & Resources:
🛠️ Get Support:
- Open an Issue for technical questions
- Review Examples for implementation guidance
- Check Troubleshooting for common solutions
Ready to break down cloud barriers and build the future of multi-cloud applications? Start with our development example and unlock the power of AWS + Azure today! 🚀