GCP to AWS
Migrating from Google Cloud Platform (GCP) to Amazon Web Services (AWS) 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 AWS Services
| GCP Service | AWS Equivalent | Notes |
|---|---|---|
| Compute Engine | EC2 | VM types and images differ |
| Cloud Storage | S3 | APIs and access models vary |
| Cloud IAM | IAM | RBAC and identity federation differ |
| Cloud SQL | RDS | Migration tools available |
| Cloud Functions | Lambda | Triggers and bindings differ |
| Deployment Manager | CloudFormation | Syntax and capabilities differ |
| Stackdriver Monitoring | CloudWatch | Metrics and logging integration varies |
| VPC | VPC | Subnet and peering models differ |
| GKE (Kubernetes Engine) | EKS | Cluster management differs |
| Cloud DNS | Route 53 | 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 AWS 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 AWS IAM. - Network Planning
Design AWS VPCs to match or improve your GCP VPC topology. - Translate Infrastructure as Code
Convert Deployment Manager templates to CloudFormation or Terraform. - Migrate Data
Use AWS CLI S3 sync or AWS DataSync for storage migration. - Migrate Identity
Set up AWS IAM, and test user access. - Refactor Applications
Update code/configs to use AWS SDKs and endpoints. - Test and Validate
Use CloudWatch and X-Ray for validation. - Update DNS
Point domains to AWS endpoints (Route 53). - Monitor and Optimize
Use AWS Cost Explorer and Trusted 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 CloudFormation or Terraform.
- Use dm-convert to export, then adapt to AWS.
-
Example Terraform snippet for AWS EC2:
resource "aws_instance" "example" { ami = "ami-0c55b159cbfafe1f0" instance_type = "t2.micro" # ... }
2. Data Migration
-
Example: Migrate Cloud Storage buckets to S3 using AWS CLI S3 sync:
aws s3 sync "gs://my-gcp-bucket" s3://my-aws-bucket --recursive
3. Identity Migration
- Example: Sync GCP IAM users to AWS IAM using AWS SSO or SAML federation.
4. Application Refactoring
- Update code/configs to use AWS SDKs and endpoints.
- Replace GCP Cloud Functions triggers with Lambda event sources.
5. Testing and Validation
- Use CloudWatch and X-Ray for post-migration validation.
Post-Migration Tasks
- Update DNS: Point domains to AWS endpoints (e.g., Route 53).
- Monitor and Optimize: Use AWS Cost Explorer and Trusted 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: AWS and GCP have different quotas.
- Security Review: Reassess security groups, NACLs, and IAM/RBAC policies.
Cloud Hopping Humor
Why did the cloud engineer bring a GPS to the GCP to AWS migration?
To make sure they didn’t get lost in the clouds!