AWS to GCP
Migrating from Amazon Web Services (AWS) to Google Cloud Platform (GCP) 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: AWS vs GCP Services
| AWS Service | GCP Equivalent | Notes |
|---|---|---|
| EC2 | Compute Engine | VM types and images differ |
| S3 | Cloud Storage | APIs and access models vary |
| IAM | Cloud IAM | RBAC and identity federation differ |
| RDS | Cloud SQL | Migration tools available |
| Lambda | Cloud Functions | Triggers and bindings differ |
| CloudFormation | Deployment Manager | Syntax and capabilities differ |
| CloudWatch | Stackdriver Monitoring | Metrics and logging integration varies |
| VPC | VPC | Subnet and peering models differ |
| EKS | GKE (Kubernetes Engine) | Cluster management differs |
| Route 53 | Cloud DNS | Record types and automation differ |
Migration Checklist
- Inventory AWS Resources
Use AWS CLI:
aws resourcegroupstaggingapi get-resources > aws-inventory.json - Map AWS Services to GCP 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 Cloud IAM. - Network Planning
Design GCP VPCs to match or improve your AWS VPC topology. - Translate Infrastructure as Code
Convert CloudFormation templates to Deployment Manager or Terraform. - Migrate Data
Use gsutil or Storage Transfer Service for storage migration. - Migrate Identity
Set up Cloud IAM, and test user access. - Refactor Applications
Update code/configs to use GCP SDKs and endpoints. - Test and Validate
Use Stackdriver Monitoring and Logging for validation. - Update DNS
Point domains to GCP endpoints (Cloud DNS). - Monitor and Optimize
Use GCP Cost Management and Recommender. - 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 Deployment Manager or Terraform.
- Use Former2 to export AWS resources to Terraform, then adapt to GCP.
-
Example Terraform snippet for GCP VM:
resource "google_compute_instance" "example" { name = "example-vm" machine_type = "e2-medium" zone = "us-central1-a" # ... }
2. Data Migration
-
Example: Migrate S3 buckets to Cloud Storage using gsutil:
gsutil -m cp -r s3://mybucket gs://my-gcp-bucket
3. Identity Migration
- Example: Sync AWS IAM users to Cloud IAM using Workforce Identity Federation.
4. Application Refactoring
- Update code/configs to use GCP SDKs and endpoints.
- Replace AWS Lambda triggers with Cloud Functions triggers.
5. Testing and Validation
- Use Stackdriver Monitoring and Logging for post-migration validation.
Post-Migration Tasks
- Update DNS: Point domains to GCP endpoints (e.g., Cloud DNS).
- Monitor and Optimize: Use GCP Cost Management and Recommender.
- 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: GCP and AWS have different quotas.
- Security Review: Reassess security groups, firewall rules, and IAM/RBAC policies.
Cloud Hopping Humor
Why did the DevOps engineer take a surfboard to the AWS to GCP migration?
Because they heard the best waves are in the Google Cloud!