How do AWS services map to GCP?

EC2 maps to Compute Engine, S3 to Cloud Storage, RDS to Cloud SQL, Lambda to Cloud Functions, and DynamoDB to Firestore. We handle all service-specific translations.

Will there be downtime?

We design for zero-downtime migration using DNS-based cutover, database replication, and parallel running. Most applications have less than 5 minutes of read-only time.

Can you handle multi-region deployments?

Yes. GCP's global network with premium tier networking makes multi-region deployments straightforward. We design for the same or better availability than your AWS setup.

Migrate from AWS to Google Cloud Platform

Move your infrastructure to GCP for better pricing, native Kubernetes, and superior data analytics — without downtime.

Migration: AWS to GCP

From Amazon Web Services to Google Cloud Platform

Why Migrate

Cost Optimization: GCP's sustained use discounts and committed use pricing often reduce compute costs 20-40% compared to equivalent AWS configurations.
Kubernetes Leadership: Google invented Kubernetes. GKE is the most mature managed Kubernetes service with autopilot, auto-scaling, and seamless integration.
Data & AI: BigQuery, Vertex AI, and Dataflow provide best-in-class data analytics and ML infrastructure that AWS struggles to match.

Migration Roadmap

Assessment & Planning (2–3 weeks): Inventory all AWS services, map to GCP equivalents, estimate costs, and design the target architecture.
- AWS service inventory
- GCP architecture design
- Cost comparison analysis
- Migration sequence plan
Infrastructure Migration (4–8 weeks): Provision GCP infrastructure, migrate databases, transfer storage, and configure networking.
- GCP infrastructure (Terraform)
- Migrated databases
- Network configuration
- CI/CD pipeline updates
Validation & Cutover (2–3 weeks): Run parallel workloads, validate performance parity, execute DNS cutover, and decommission AWS resources.
- Performance benchmark report
- DNS cutover execution
- AWS decommission plan

Risks & Mitigation

AWS-specific services (Lambda, DynamoDB) have different GCP equivalents: We map each AWS service to its GCP counterpart (Cloud Functions, Firestore) and refactor code for API differences during migration.
Data transfer costs and duration for large datasets: We use Google Transfer Service for large datasets and schedule transfers during off-peak hours to minimize costs and business impact.

Estimated Scope

Hours: 200–400 | Cost: $400–$800 | Timeline: 8–14 weeks

Frequently Asked Questions

How do AWS services map to GCP?: EC2 maps to Compute Engine, S3 to Cloud Storage, RDS to Cloud SQL, Lambda to Cloud Functions, and DynamoDB to Firestore. We handle all service-specific translations.
Will there be downtime?: We design for zero-downtime migration using DNS-based cutover, database replication, and parallel running. Most applications have less than 5 minutes of read-only time.
Can you handle multi-region deployments?: Yes. GCP's global network with premium tier networking makes multi-region deployments straightforward. We design for the same or better availability than your AWS setup.