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GCP Migration Services

Precision migrations engineered for zero disruption and immediate cloud-native advantage.

Engineered Migrations to Google Cloud

Cloud migration is not a technology decision — it is a business continuity operation. Every unmapped dependency, every misconfigured firewall rule, and every overlooked database replication lag creates a potential failure point that can take production systems offline during cutover, costing the business thousands of dollars per minute in lost revenue and customer trust.

We execute structured GCP migrations using Google's proven migration methodologies and tooling — Migrate to Virtual Machines for server workloads, Database Migration Service for managed database transitions, and Storage Transfer Service for massive data movements. Every migration follows a rehearsed playbook with documented rollback procedures at every stage.

Our expertise spans the full spectrum of migration complexity — from straightforward VM rehosting engagements to challenging cross-cloud transitions where workloads must move from AWS or Azure to GCP while maintaining hybrid connectivity and application availability throughout the multi-week transition window.

GCP Migration Services

When Migration Cannot Wait

These scenarios demand professional migration orchestration.

01

Contract Deadlines

Your current cloud or colocation contract expires in 6 months. Renewing means 3 more years of vendor lock-in at significantly higher rates. You need a structured, aggressive migration plan that evacuates critical workloads before the deadline.

02

Cloud-to-Cloud Transition

Your organization has decided to transition from AWS or Azure to GCP for strategic reasons — cost optimization, BigQuery analytics, or Kubernetes-native architecture — but your team lacks the cross-cloud expertise to execute the move safely.

03

Database Modernization

Your legacy Oracle or SQL Server databases are crushing your budget with licensing costs. GCP offers compelling managed alternatives — Cloud SQL for PostgreSQL, AlloyDB for PostgreSQL-compatible OLTP, and Spanner for globally distributed databases — at dramatically lower total cost.

04

Kubernetes Consolidation

You are running self-managed Kubernetes clusters on-premises or in another cloud and want to consolidate onto GKE — the most mature managed Kubernetes service — to eliminate cluster operations overhead and benefit from Google's Kubernetes expertise.

Migration Capabilities

Enterprise-grade migration services for every infrastructure layer.

01/ Server & VM Migration

Rapidly moving virtual machine workloads from on-premises VMware/Hyper-V environments or competing clouds directly to Google Compute Engine. We use continuous replication to minimize cutover windows and maintain rollback capability throughout the transition.

Migrate to Virtual Machines (M2VM) deployment for automated block-level replication to Compute Engine
VMware to GCE migrations preserving OS configurations, installed software, and network identity
Cross-cloud VM transitions from AWS EC2 and Azure VMs to GCE with network reconfiguration
Post-migration rightsizing using GCP Recommender to select optimal machine types based on actual utilization
02/ Database Migration & Modernization

Transitioning from expensive proprietary database engines to GCP's managed database services — eliminating licensing costs, patching overhead, and high-availability configuration complexity. We handle both homogeneous and heterogeneous migrations with continuous replication and validation.

Oracle to Cloud SQL for PostgreSQL and AlloyDB migrations using Database Migration Service
SQL Server to Cloud SQL for SQL Server with managed high availability and automated backups
MongoDB to Firestore or MongoDB Atlas on GCP for modern document database workloads
Spanner migration design for applications requiring globally distributed, strongly consistent databases
03/ Container & Kubernetes Migration

Migrating containerized workloads from self-managed Kubernetes clusters, Amazon EKS, or Azure AKS to Google Kubernetes Engine. We handle the cluster architecture migration, Helm chart adaptation, service mesh reconfiguration, and CI/CD pipeline reconnection that cross-platform Kubernetes transitions require.

Kubernetes manifest and Helm chart adaptation for GKE-specific features (Workload Identity, Container-Optimized OS)
Service mesh migration from Istio (self-managed) to Anthos Service Mesh for Google-managed control plane
Container Registry migration from ECR/ACR to Google Artifact Registry with vulnerability scanning integration
CI/CD pipeline reconfiguration connecting Cloud Build or existing GitHub Actions to GKE deployment targets
04/ Data & Storage Migration

Moving massive datasets — petabytes of files, data lake contents, and archival storage — to Google Cloud Storage and BigQuery with optimized transfer strategies. We select the right transfer method based on data volume, network bandwidth, and time constraints.

Storage Transfer Service for online data movement from AWS S3, Azure Blob, and HTTP sources to GCS
Transfer Appliance (physical device) for offline transfers when network bandwidth cannot support the data volume
BigQuery Data Transfer Service for automated migration from Teradata, Amazon Redshift, and Amazon S3 data lakes
Data validation frameworks comparing source and destination checksums, row counts, and schema integrity post-transfer

Migration Execution Framework

A systematic methodology for cloud transitions with zero business disruption.

01

Discover & Plan

We run automated discovery tools to map every server, database, application, and network dependency in your current environment. We produce a migration wave plan grouping workloads by dependency clusters, selecting the optimal migration strategy for each (rehost, replatform, refactor), and estimating timeline and resource requirements.

02

Build Landing Zone

We deploy the GCP foundation infrastructure — projects, VPCs, subnets, Cloud NAT, firewall rules, IAM roles, and monitoring — before touching any workloads. We establish hybrid connectivity (Cloud VPN or Interconnect) and validate network throughput between source and target environments.

03

Execute Waves

We migrate workloads in planned waves — starting with low-risk, low-dependency systems to build team confidence. Each wave follows the proven cycle: replicate, test, validate, cutover, monitor. Rollback procedures are documented and rehearsed before every production cutover.

04

Optimize & Decommission

Post-migration, we rightsize Compute Engine instances, implement committed-use discounts, deploy Cloud Monitoring dashboards, and configure budget alerts. Legacy source environments are decommissioned only after 30-day parallel running validation confirms zero issues.

Industry Applications

Google Cloud solutions built for the world's most demanding data, ML, and infrastructure challenges.

E-Commerce & Retail

Migrating a multi-currency e-commerce platform from AWS to GCP to leverage BigQuery's real-time analytics for inventory optimization and Recommendations AI for personalized product discovery — reducing data analytics costs by 60% while improving recommendation relevance.

Healthcare & Biotech

Transitioning genomic research pipelines from on-premises HPC clusters to GCP's Life Sciences API and Cloud Storage — reducing sequencing analysis time from 72 hours to 4 hours while maintaining HIPAA compliance through VPC Service Controls and CMEK encryption.

Financial Services

Moving quantitative trading analytics from co-located data centers to GCP's low-latency Compute Engine instances with local SSD storage — achieving comparable microsecond-level processing while eliminating $2M in annual data center lease and hardware refresh costs.

Frequently Asked Questions

Can you migrate from AWS to GCP without significant downtime?
Yes. We use continuous replication tools that synchronize data in real-time between source and target. The final cutover window — where we switch DNS and network routes — typically takes minutes for most workloads and under 30 seconds for database transitions using DMS with continuous replication.
What about migrating complex networking setups with multiple VPCs?
We redesign the network topology during migration — mapping AWS VPCs and subnets to GCP VPCs with appropriate CIDR ranges. Shared VPC architecture in GCP provides centralized network control that is often simpler than the equivalent AWS Transit Gateway topology. We handle firewall rule translation and DNS configuration as part of the migration playbook.
How do you handle licensing when moving Oracle databases to GCP?
Oracle licensing on GCP is complex. We evaluate whether maintaining Oracle on Compute Engine (using BYOL) is cost-effective versus migrating to a managed alternative like AlloyDB or Cloud SQL for PostgreSQL. For many workloads, the licensing savings from abandoning Oracle alone justify the migration investment.
Do you provide post-migration support?
Yes. We offer 30-90 day hypercare periods post-migration where our team monitors the GCP environment, resolves configuration issues, optimizes performance, and provides knowledge transfer to your operations team. Extended managed services are available for organizations that prefer ongoing external monitoring and administration.

Ready to harness Google Cloud?

Schedule a GCP Strategy Session