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
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
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!
References
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