How to Manage Multi-Cloud Architecture
Run workloads across AWS, Azure, and GCP without drowning in complexity. Covers service mapping, identity federation, networking, cost management, and governance.
Multi-cloud is a reality for 89% of enterprises. Most didn’t choose it — it happened through acquisitions, team preferences, and vendor mandates. The goal isn’t to make multi-cloud perfect; it’s to make it manageable.
Service Mapping Across Clouds
| Capability | AWS | Azure | GCP |
|---|---|---|---|
| Compute (VMs) | EC2 | Virtual Machines | Compute Engine |
| Containers | ECS / EKS | AKS | GKE |
| Serverless | Lambda | Azure Functions | Cloud Functions |
| Object Storage | S3 | Blob Storage | Cloud Storage |
| Relational DB | RDS | Azure SQL | Cloud SQL |
| NoSQL | DynamoDB | Cosmos DB | Firestore / Bigtable |
| Data Warehouse | Redshift | Synapse | BigQuery |
| AI/ML | SageMaker | Azure AI | Vertex AI |
| CDN | CloudFront | Azure CDN / Front Door | Cloud CDN |
| DNS | Route 53 | Azure DNS | Cloud DNS |
| IAM | IAM | Entra ID (Azure AD) | Cloud IAM |
| Monitoring | CloudWatch | Monitor | Cloud Monitoring |
Step 1: Unified Identity
# Federate identity across clouds using a single IdP
# Azure AD (Entra ID) as the identity provider
# AWS — configure SAML/OIDC federation
aws iam create-saml-provider \
--saml-metadata-document file://azure-ad-metadata.xml \
--name AzureAD
# GCP — configure workload identity federation
gcloud iam workload-identity-pools create azure-pool \
--location="global" \
--display-name="Azure AD Pool"
gcloud iam workload-identity-pools providers create-oidc azure-provider \
--workload-identity-pool="azure-pool" \
--location="global" \
--issuer-uri="https://login.microsoftonline.com/{tenant-id}/v2.0" \
--allowed-audiences="api://gcp-federation"
Step 2: Cross-Cloud Networking
┌─────────────┐ VPN/Interconnect ┌─────────────┐
│ AWS │◄────────────────────────►│ Azure │
│ VPC │ │ VNet │
│ 10.1.0.0/16│ │ 10.2.0.0/16│
└──────┬──────┘ └──────┬──────┘
│ │
│ VPN/Interconnect │
│ ┌───────────────────────────┐ │
└───►│ GCP │◄──────┘
│ VPC 10.3.0.0/16 │
└─────────────────────────┘
Network Design Rules
| Rule | Why |
|---|---|
| Non-overlapping CIDR ranges | Routes must be unambiguous |
| Consistent security groups/NSGs | Same policy everywhere |
| Centralized DNS | Single namespace resolution |
| Encrypted transit (IPSec/WireGuard) | Data protection in motion |
| Bandwidth monitoring | Egress charges are the hidden cost |
Step 3: Multi-Cloud Cost Management
# Unified cost view across clouds
def monthly_cost_report():
aws_cost = get_aws_cost_explorer() # boto3
azure_cost = get_azure_cost_mgmt() # azure.mgmt.costmanagement
gcp_cost = get_gcp_billing() # google.cloud.billing
total = {
"AWS": aws_cost["total"],
"Azure": azure_cost["total"],
"GCP": gcp_cost["total"],
}
total["Grand Total"] = sum(total.values())
# Top cost drivers across all clouds
by_service = sorted(
aws_cost["by_service"] + azure_cost["by_service"] + gcp_cost["by_service"],
key=lambda x: x["cost"],
reverse=True
)[:20]
return {"totals": total, "top_services": by_service}
Step 4: Workload Placement Strategy
| Workload | Best Cloud | Reason |
|---|---|---|
| .NET / D365 workloads | Azure | Native ecosystem |
| Data analytics (BigQuery) | GCP | Price-performance |
| ML training (spot GPUs) | AWS/GCP | GPU availability |
| Kubernetes (managed) | GCP (GKE) | Best K8s service |
| Serverless (event-driven) | AWS (Lambda) | Most mature |
| Microsoft 365 integration | Azure | Native SSO/Graph |
| General compute | Any | Compare pricing |
Multi-Cloud Checklist
- Identity federated through single IdP
- Cross-cloud networking established (VPN/Interconnect)
- Non-overlapping CIDR ranges across all VPCs
- Unified cost dashboard deployed
- Workload placement strategy documented
- Infrastructure-as-Code (Terraform) for all clouds
- Centralized logging and monitoring
- Security policies consistent across providers
- Egress costs monitored and optimized
- DR strategy tested across cloud boundaries
:::note[Source] This guide is derived from operational intelligence at Garnet Grid Consulting. For cloud architecture consulting, visit garnetgrid.com. :::