AWS & DevOps services

GCP to AWS Migration

Move GCP workloads to AWS by translating projects, IAM, networks, GKE, data services, Terraform, and delivery workflows.

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Scope

What this service can cover

The exact implementation follows the environment and the signed scope. These are the technical workstreams most often composed for GCP to AWS Migration.

01

Resource hierarchy and identity

Map organizations, folders, projects, service accounts, workload identity, roles, and ownership into AWS structures.

02

Network and runtime translation

Translate VPC design, Cloud Interconnect, DNS, load balancing, GKE, Cloud Run, and compute patterns.

03

Data-service migration

Plan Cloud SQL, object storage, analytics, messaging, and application-data movement with integrity checks.

04

Terraform and delivery transition

Refactor provider-specific modules, move state deliberately, replace credentials with AWS OIDC roles, and retire GCP dependencies.

Work products

What the client receives

  • GCP inventory and AWS target mapping
  • Migration waves and dependency runbooks
  • AWS implementation and data validation
  • Handoff and GCP exit checklist
Delivery approach

From current state to client-owned handoff

01

Assess GCP estate

Inventory the GCP estate workloads, dependencies, data, access, operating constraints, and business windows that change the AWS path.

02

Design the AWS target

Define landing, identity, network, security, data, observability, workload treatment, acceptance, and rollback requirements.

03

Migrate in waves

Build prerequisites, rehearse where useful, move bounded GCP estate waves, and validate application, data, security, performance, and operations.

04

Stabilize and transfer

Close cutover issues, confirm monitoring and recovery, document ownership, and hand off decommissioning and follow-up work.

Ways to engage

Match the commercial model to the work

Defined project

Professional Services & Consulting

Fixed fee or time and materials for a scoped outcome, implementation, acceptance, and handoff.

 Recurring capacity

Managed DevOps / Support & Advisory

Monthly business-hours engineering capacity against a shared Jira backlog.

 Clarify first

Assessment Programs

Use a focused diagnostic when the current state or right next step is not yet clear.
Related paths
AWS MigrationsPlan and execute AWS migration waves with discovery, dependency mapping, landing-zone readiness, cutover validation, and handoff. Terraform ConsultingDesign, build, refactor, and govern Terraform that teams can review, test, own, and safely extend. AWS ModernizationAssess and sequence application, runtime, database, delivery, and operating-model modernization on AWS.
FAQ

Scoping GCP to AWS Migration

Does every GCP workload move the same way?

No. Treatment follows application and data dependencies, supportability, risk, economics, operating goals, and the acceptable change window.

How is downtime handled?

The plan records the allowed interruption, replication or synchronization path, rehearsal, validation, rollback, communications, and accountable decision owner.

Does the scope include what happens after cutover?

Yes. The SOW defines stabilization, observability, recovery checks, documentation, ownership transfer, and any decommissioning or modernization backlog.

Bring the environment and the decision you are facing.

Use the free hour to work through the current state and identify a useful next step before you commit to a project.

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