AWS to Azure
Migrating from AWS to Azure involves more than just moving workloads—it’s about understanding service equivalencies, planning for differences, and ensuring a smooth transition for your teams and applications. This guide provides actionable steps, real-life examples, and best practices for a successful migration.
Quick Comparison: AWS vs Azure Services
| AWS Service | Azure Equivalent | Notes |
|---|---|---|
| EC2 | Virtual Machines (VMs) | VM sizes and images differ |
| S3 | Blob Storage | APIs and access models vary |
| IAM | Azure Active Directory | RBAC models differ |
| RDS | Azure SQL Database | Migration tools available |
| Lambda | Azure Functions | Triggers and bindings differ |
| CloudFormation | ARM Templates/Bicep | Syntax and capabilities differ |
| CloudWatch | Azure Monitor | Metrics and logging integration varies |
| VPC | Virtual Network (VNet) | Subnet and peering models differ |
| EKS | AKS (Azure Kubernetes) | Cluster management differs |
| Route 53 | Azure DNS | Record types and automation differ |
Tip: Microsoft’s official service mapping is a great reference.
Pre-Migration Checklist
- Inventory Your AWS Resources
-
Use AWS Config or AWS CLI to export a list of resources:
aws resourcegroupstaggingapi get-resources > aws-inventory.json
-
- Map Services to Azure Equivalents
- Create a mapping document for each AWS service in use.
- Assess Application Dependencies
- Identify hardcoded endpoints, region-specific services, and OS dependencies.
- Plan Identity and Access Migration
- Prepare to migrate IAM users/groups to Azure AD.
- Network Planning
- Design Azure VNets to match (or improve) your AWS VPC topology.
Migration Checklist
- Inventory AWS Resources
Use AWS CLI:
aws resourcegroupstaggingapi get-resources > aws-inventory.json - Map AWS 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 IAM users/groups to Azure AD. - Network Planning
Design Azure VNets to match or improve your AWS VPC topology. - Translate Infrastructure as Code
Convert CloudFormation templates to ARM/Bicep or Terraform. - Migrate Data
Use AzCopy or Azure Data Factory 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 AWS 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 CloudFormation templates to Azure Bicep or ARM templates.
- Use Former2 to export AWS resources to Terraform, 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 S3 buckets to Azure Blob Storage using AzCopy:
azcopy copy "s3://mybucket" "https://<account>.blob.core.windows.net/<container>" --recursive
3. Identity Migration
- Example: Sync AWS IAM users to Azure AD using Azure AD Connect.
4. Application Refactoring
- Update code/configs to use Azure SDKs and endpoints.
- Replace AWS Lambda 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 AWS 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 AWS have different quotas.
- Security Review: Reassess security groups, NSGs, and IAM/RBAC policies.
Cloud Hopping Humor
Why did the DevOps engineer bring a parachute to the cloud migration?
Because you never know when you’ll need to drop out of AWS and land safely in Azure!