The Problem

Migrating from Google Cloud shouldn't take 18 months.

CloudShift uses AI to accelerate GCP-to-AWS migration planning from months to minutes — then keeps your AWS costs optimized forever.

6–18
Months typical migration
$2M+
Average consulting costs
70%
Time reduction with AI
Explore Our Solution ↓ Technical Details →
Our Solution

Enter CloudShift

Your AI-powered bridge from Google Cloud to AWS.

☁️

GCP World

Before
  • ✗ 6-18 months manual migration
  • ✗ $2M+ consulting fees
  • ✗ Error-prone service mapping
  • ✗ No cost visibility post-migration
⚡

AWS World

After
  • ✓ AI migration in minutes
  • ✓ 70% cost reduction
  • ✓ Intelligent service mapping
  • ✓ Continuous FinOps optimization
🔍

AI-Powered Analysis

Scans your entire GCP infrastructure and creates a comprehensive migration blueprint automatically.

🔄

Smart Service Mapping

Maps every GCP service to its optimal AWS equivalent with compatibility scoring and gap analysis.

💰

Cost Optimization

Estimates migration costs, identifies savings opportunities, and runs continuous FinOps post-migration.

Service Mapping

Intelligent Service Mapping

AI-powered mapping of every GCP service to its optimal AWS equivalent.

☁️ Google Cloud
Mapping
⚡ Amazon Web Services
🖥️
Compute

Compute Engine

Virtual machine instances for general workloads

98%
🖥️
Compute

Amazon EC2

Elastic compute cloud for scalable virtual servers

🗄️
Storage

Cloud Storage

Object storage for any amount of data

99%
🪣
Storage

Amazon S3

Simple storage service for object data at scale

🗃️
Database

Cloud SQL

Managed relational database (MySQL, PostgreSQL)

95%
🗃️
Database

Amazon RDS

Managed relational database with multi-AZ support

⚙️
Serverless

Cloud Functions

Event-driven serverless compute platform

92%
⚙️
Serverless

AWS Lambda

Run code without provisioning servers

📦
Containers

GKE

Managed Kubernetes engine for containers

97%
📦
Containers

Amazon EKS

Elastic Kubernetes service for container orchestration

🧠
AI / ML

Vertex AI

Unified ML platform for training & deployment

88%
🧠
AI / ML

Amazon SageMaker

Build, train, and deploy ML models at scale

How It Works

The Migration Pipeline

Four steps from GCP architecture to AWS deployment.

01
📥

Ingest

CloudShift scans your entire GCP infrastructure and maps every resource, dependency, and configuration.

  • IAM policies & roles
  • Networking & VPCs
  • Compute & storage
02
🔍

Analyze

AI-powered analysis identifies service equivalencies, compatibility gaps, and migration complexity.

  • Service compatibility
  • API equivalencies
  • Data format mapping
03
⚖️

Assess

Risk scoring produces a confidence-ranked migration plan with cost projections and rollback strategies.

  • Risk & confidence scores
  • Cost delta analysis
  • Rollback blueprints
04
🚀

Generate

Outputs production-ready IaC templates, migration scripts, and a FinOps monitoring dashboard.

  • Terraform / CloudFormation
  • Migration runbooks
  • FinOps autopilot setup
Cost Analysis

Migration Risk & Cost Comparison

Transparent cost estimation and risk assessment before you migrate.

☁️ Google Cloud Current Spend
Compute Engine $0
Cloud Storage $0
Cloud SQL $0
Networking $0
Monthly Total $0
→
0 % savings
$2,924/mo saved
⚡ Amazon Web Services Projected Spend
Amazon EC2 $0
Amazon S3 $0
Amazon RDS $0
Networking $0
Monthly Total $0

Migration Complexity

Medium

6 services to migrate with 2 requiring manual configuration adjustments.

Data Loss Risk

Low

All storage formats are natively compatible. Zero-downtime data sync available.

Downtime Estimate

Minimal

Blue-green deployment strategy limits downtime to under 4 minutes.

FinOps Autopilot

Once You're on AWS, We Keep Optimizing

Continuous cloud cost optimization powered by AI.

Monthly Spend by Service

$6,506 Total / mo
EC2 $2,950
S3 $1,280
RDS $1,690
Other $586

Optimization Summary

💰
$0 Monthly AWS Spend
📉
$0 Savings Identified
⚡
0 Resources Optimized (%)
🤖
0 Active Auto-Rules

Cost Trend — 6 Month Projection

Projected savings after CloudShift migration and FinOps autopilot.

Before vs After — By Service

Per-service cost comparison: GCP current vs AWS optimized.

AI-Detected Optimization Opportunities

Hover or tap a card to see the recommended action.

High Impact
📐

Right-Size EC2 Instances

14 instances oversized by >40%

$840 /mo savings
✅

Recommended Action

  • Downsize 9× m5.xlarge → m5.large
  • Switch 3× c5.2xl → c6g.xl (Graviton)
  • Terminate 2× idle dev instances
Confidence: 97%
Medium Impact
🗄️

S3 Lifecycle Policies

3.4 TB in expensive storage tiers

$380 /mo savings
✅

Recommended Action

  • Move 2.1 TB to S3 Infrequent Access
  • Archive 1.1 TB to S3 Glacier
  • Enable intelligent tiering on 4 buckets
Confidence: 94%
High Impact
💾

RDS Reserved Instances

3 databases running on-demand

$520 /mo savings
✅

Recommended Action

  • Purchase 1yr RI for prod db.r5.xlarge
  • Convert 2× staging to db.t3.medium
  • Enable Aurora Serverless v2 scaling
Confidence: 91%

Auto-Remediation Pipeline

CloudShift continuously monitors and auto-applies optimizations when safe.

🔍

Detect

AI scans for cost anomalies and waste patterns every 15 minutes.

⚖️

Evaluate

Risk assessment ensures changes won't impact performance or availability.

🔧

Apply

Auto-applies safe changes: scaling, scheduling, and tier adjustments.

✅

Verify

Validates health metrics post-change and auto-rolls back if needed.

Autopilot Active
Total Monthly Savings $0
Projected Annual Savings $0
EC2 Right-Sizing$840
S3 Lifecycle$380
RDS Reserved$520
Migration Runbook

Auto-Generated Runbooks

Step-by-step migration instructions, generated by AI.

cloudshift-runbook.sh — bash 

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        Tech Stack
        
Powered by AWS

        
The AWS services that make CloudShift possible.

      


      

        

          
🧠

          
Amazon Bedrock

          
Foundation models for AI-powered infrastructure analysis and code generation.

          AI Engine
        


        

          
⚡

          
AWS Lambda

          
Serverless compute for running migration analysis and transformation logic.

          Compute
        


        

          
🪣

          
Amazon S3

          
Stores migration artifacts, IaC templates, and generated runbook outputs.

          Storage
        


        

          
🗃️

          
Amazon DynamoDB

          
NoSQL database tracking service mappings, risk scores, and migration state.

          Database
        


        

          
🔄

          
AWS Step Functions

          
Orchestrates the 4-stage migration pipeline from ingestion to deployment.

          Orchestration
        


        

          
📊

          
Amazon CloudWatch

          
Monitors migration health, cost metrics, and FinOps autopilot dashboards.

          Monitoring
        


        

          
🔐

          
AWS IAM

          
Manages least-privilege access policies for cross-cloud resource access.

          Security
        


        

          
🏗️

          
AWS CloudFormation

          
Provisions target AWS infrastructure using auto-generated IaC templates.

          Infrastructure