GCP to Azure
Migrating from Google Cloud Platform (GCP) to Microsoft Azure requires careful planning, mapping of services, and process adaptation. This guide provides actionable steps, real-life examples, and best practices for a successful migration.
Quick Comparison: GCP vs Azure Services
| GCP Service | Azure Equivalent | Notes |
|---|---|---|
| Compute Engine | Virtual Machines (VMs) | VM types and images differ |
| Cloud Storage | Blob Storage | APIs and access models vary |
| Cloud IAM | Azure Active Directory | RBAC and identity federation differ |
| Cloud SQL | Azure SQL Database | Migration tools available |
| Cloud Functions | Azure Functions | Triggers and bindings differ |
| Deployment Manager | ARM Templates/Bicep | Syntax and capabilities differ |
| Stackdriver Monitoring | Azure Monitor | Metrics and logging integration varies |
| VPC | Virtual Network (VNet) | Subnet and peering models differ |
| GKE (Kubernetes Engine) | AKS (Azure Kubernetes) | Cluster management differs |
| Cloud DNS | Azure DNS | Record types and automation differ |
Migration Checklist
- Inventory GCP Resources
Use gcloud CLI:
gcloud asset search-all-resources --format=json > gcp-inventory.json - Map GCP Services to Azure Equivalents
Create a mapping table for all services in use. - Assess Application Dependencies
Identify hardcoded endpoints, region-specific services, and OS dependencies. - Plan Identity and Access Migration
Prepare to migrate Cloud IAM users/groups to Azure AD. - Network Planning
Design Azure VNets to match or improve your GCP VPC topology. - Translate Infrastructure as Code
Convert Deployment Manager templates to ARM/Bicep or Terraform. - Migrate Data
Use AzCopy or Storage Transfer Service for storage migration. - Migrate Identity
Set up Azure AD, and test user access. - Refactor Applications
Update code/configs to use Azure SDKs and endpoints. - Test and Validate
Use Azure Monitor and Application Insights for validation. - Update DNS
Point domains to Azure endpoints (Azure DNS). - Monitor and Optimize
Use Azure Cost Management and Azure Advisor. - Decommission GCP Resources
Confirm all data is migrated and backups are complete before deleting. - Update Documentation
Revise runbooks and architecture diagrams.
Migration Steps (with Examples)
1. Infrastructure as Code (IaC) Translation
- Example: Convert Deployment Manager templates to Azure Bicep or ARM templates.
- Use dm-convert to export, then adapt to Azure.
-
Example Terraform snippet for Azure VM:
resource "azurerm_virtual_machine" "example" { name = "example-vm" resource_group_name = azurerm_resource_group.example.name location = azurerm_resource_group.example.location # ... }
2. Data Migration
-
Example: Migrate Cloud Storage buckets to Azure Blob Storage using AzCopy:
azcopy copy "https://storage.googleapis.com/<bucket>" "https://<account>.blob.core.windows.net/<container>" --recursive
3. Identity Migration
- Example: Sync GCP IAM users to Azure AD using Azure AD Connect.
4. Application Refactoring
- Update code/configs to use Azure SDKs and endpoints.
- Replace GCP Cloud Functions triggers with Azure Function bindings.
5. Testing and Validation
- Use Azure Monitor and Application Insights for post-migration validation.
Post-Migration Tasks
- Update DNS: Point domains to Azure endpoints (e.g., Azure DNS).
- Monitor and Optimize: Use Azure Cost Management and Azure Advisor.
- Decommission GCP Resources: Ensure all data is migrated and backups are complete before deleting.
- Documentation: Update runbooks and architecture diagrams.
Best Practices & Common Pitfalls
- Start with Non-Production Workloads: Validate migration steps before moving critical systems.
- Automate Everything: Use Terraform/Ansible for repeatable deployments.
- Watch for Service Limits: Azure and GCP have different quotas.
- Security Review: Reassess security groups, NSGs, and IAM/RBAC policies.
Cloud Hopping Humor
Why did the engineer bring a suitcase to the GCP to Azure migration?
Because they were ready for a change in the cloud forecast!