Google Cloud

AWS to GCP Migration Project Plan: Service Mapping, TCO & Timeline

2026-05-24
NicheeLab Editorial Team

A complete guide to planning and executing an AWS-to-GCP migration project. Covers service mapping, migration tooling, phase splitting, TCO estimation, and the organizational success factors.

The 6 R Migration Framework

StrategyDescriptionUse case
Rehost (Lift & Shift)EC2 → GCE as-isFast migration
ReplatformEC2 → Cloud Run / GKE AutopilotOperational efficiency
RepurchaseSwitch to SaaSCommercial solutions
Refactor / Re-architectCloud-native rewriteLong-term competitiveness
RetireDecommissionUnneeded systems
RetainKeep on AWSHard to migrate / cost rationale

Key Service Mapping

AWSGCP
EC2Compute Engine (GCE)
ECSCloud Run (simple) / GKE Autopilot
EKSGKE
LambdaCloud Functions 2nd gen
FargateCloud Run / GKE Autopilot
Elastic BeanstalkApp Engine / Cloud Run
S3Cloud Storage
EFS / FSxFilestore
RDSCloud SQL
AuroraAlloyDB
Aurora DSQLSpanner
DynamoDBFirestore / Bigtable
ElastiCacheMemorystore
RedshiftBigQuery
AthenaBigQuery / BigLake
EMRDataproc
KinesisPub/Sub + Dataflow
SNS / SQSPub/Sub + Cloud Tasks
EventBridgeEventarc
Step FunctionsWorkflows / Cloud Composer
CloudFrontCloud CDN / Media CDN
Route 53Cloud DNS
VPCVPC (Global)
Direct ConnectCloud Interconnect
IAMIAM (+ Cloud Identity)
KMSCloud KMS / HSM / EKM
CloudWatchCloud Monitoring + Logging
X-RayCloud Trace
BedrockVertex AI Model Garden
SageMakerVertex AI
CodeBuild / CodeDeployCloud Build / Cloud Deploy
ECRArtifact Registry
WAFCloud Armor

Migration Tooling

  • Migrate to Virtual Machines (M2VM): EC2 → GCE
  • Migrate to Containers (M2C): EC2 → Cloud Run / GKE
  • Database Migration Service: RDS / Aurora → Cloud SQL / AlloyDB
  • BigQuery Migration Service: Redshift → BigQuery
  • Storage Transfer Service: S3 → GCS (online)
  • Transfer Appliance: Physical-device data transfer (PB scale)
  • Migration Center: Migration planning + TCO estimation

Typical Phased Migration Plan

  1. Phase 0 (1 month): Assessment
    • Scan the AWS environment with Migration Center
    • TCO estimation + migration priority matrix
    • Organizational structure + skills assessment
  2. Phase 1 (1-2 months): Foundation
    • GCP Organization / Folder / IAM design
    • Build out VPC / Interconnect
    • Cloud Identity integration
    • Terraform IaC groundwork
  3. Phase 2 (2-3 months): Quick Wins
    • Migrate Dev / Staging environments
    • Start with stateless web workloads
    • Build up operational know-how
  4. Phase 3 (6-12 months): Production Wave 1
    • Migrate major production apps in sequence
    • Use DMS for continuous DB migration
    • Parallel operation + staged cutover
  5. Phase 4 (3-6 months): Modernization
    • VM → Container (M2C)
    • Move to managed services (Cloud Run / BigQuery)
    • CI/CD integration (Cloud Build / Deploy)
  6. Phase 5 (ongoing): Optimization
    • FinOps (CUD / Sustained Use Discount)
    • Apply Recommender API suggestions
    • Leverage new features (Gemini / Vertex AI)

Data Transfer Methods

MethodUse casePricing
Storage Transfer Service (online)S3 → GCS, scheduled syncAWS egress + standard GCS pricing
Transfer AppliancePB scale, low-bandwidth on-prem$300/month + shipping
BigQuery Data TransferRedshift → BigQueryFree + Redshift egress
DatastreamReal-time CDC$0.30/GB
Cloud InterconnectDedicated lineVLAN Attachment + standard egress

Organizational Success Factors

  • Early executive commitment from CFO / CTO (cost ownership)
  • Form a Center of Excellence (CoE) team (5-10 people)
  • Earn GCP certifications (PCA / PMLE / PDE)
  • Budget for the parallel-operation period
  • GCP training for the operations team
  • Engage SI partners (KPMG / Accenture / domestic SIers)
  • Go/No-go decision per phase

Typical TCO Savings

  • Compute: 20-30% reduction via Sustained Use Discount + CUD
  • Storage: 30% reduction via Lifecycle optimization + moving Multi-region to Region
  • Data: 50% reduction via BigQuery on-demand + partitioning
  • Ops headcount cost: 30-40% reduction by moving to managed services
  • Overall: 15-30% TCO reduction is typical

Why migrate from AWS to GCP?

Cost optimization (Sustained Use Discount / TPU), stronger AI and data analytics (BigQuery / Gemini), better container UX (Cloud Run / GKE Autopilot), and as part of a multi-cloud strategy.

How long does a migration take?

Small (10 apps): 3-6 months. Medium (50-100 apps): 12-18 months. Large (500+ apps): 24-36 months. A phase-by-phase approach is the realistic option.

What is the AWS to GCP service mapping?

EC2 to GCE, ECS to Cloud Run / GKE, Lambda to Cloud Functions, S3 to Cloud Storage, RDS to Cloud SQL, Aurora to AlloyDB, DynamoDB to Firestore / Bigtable, Redshift to BigQuery, and so on.

What about egress charges?

AWS to GCP egress incurs roughly $0.09/GB on the AWS side. For large data migrations, use Cloud Storage Transfer Service Online (pull-based) or Transfer Appliance (physical).

How long is the parallel-operation period?

Typically 3-6 months: both clouds running with data synchronized. You want to minimize it because of egress costs and operational load.

Can my AWS knowledge be reused?

About 80% of the concepts overlap (VPC / IAM / Compute / Storage, etc.). The deltas can be learned in 2-4 weeks. AWS SAP holders can typically pass GCP PCA in 1-2 months.

What are common failure patterns?

Big-bang (one-shot) migration is dangerous. Phase splitting with minimal-impact validation at each phase is essential. Organizationally, early alignment with the cost owner (CFO) is also key.

How do I estimate TCO?

Google Cloud Migration Center can automatically estimate AWS-to-GCP TCO. Typical savings are 15-30% (Sustained Use Discount + CUD + TPU, etc.).

Related Articles - Migration / Multi-cloud

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Note: Google Cloud and AWS are trademarks of their respective owners. For the latest, see the official Migration Center page.

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NicheeLab Editorial Team

NicheeLab editorial team focused on data engineering and cloud certification learning. Content is structured around practical study needs and official exam domains.


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