Data Center to Google Cloud
Rehost and replatform on-premises and VMware workloads to Compute Engine and Google Cloud VMware Engine with a clear wave plan.
- Discovery & dependency mapping
- Rehost & replatform
- VMware workloads
- Wave planning
Auriqo plans and delivers GCP migration for enterprise workloads from data centers, AWS and Azure, including Oracle to Google Cloud, SQL Server to Google Cloud and PostgreSQL migration, with application modernization built into every wave.
Whether you are leaving a data center, consolidating clouds or modernizing legacy databases, we design a Google Cloud migration that fits your risk, budget and timeline.
Rehost and replatform on-premises and VMware workloads to Compute Engine and Google Cloud VMware Engine with a clear wave plan.
Move workloads between clouds with service mapping, data transfer planning and hybrid cloud connectivity during the transition.
Oracle to Google Cloud, SQL Server to Google Cloud and PostgreSQL migration to Cloud SQL and AlloyDB using Database Migration Service.
Containerize and refactor applications for Google Kubernetes Engine and Cloud Run so you gain agility, not just a new hosting location.
Migrate Teradata, Netezza, Oracle and Hadoop analytics to BigQuery. See our BigQuery consulting services.
Start on a secure, well-governed foundation. Read more about our GCP landing zone approach.
Databases carry the highest risk in any cloud migration. We assess compatibility, convert schemas and code, and validate data before every cutover.
Migrate Oracle to Cloud SQL for PostgreSQL, AlloyDB or Bare Metal Solution, based on licensing and compatibility needs.
Move SQL Server to Cloud SQL for SQL Server or modernize to PostgreSQL to reduce licensing costs.
Migrate self-managed PostgreSQL and MySQL to Cloud SQL or AlloyDB with minimal downtime.
Use Database Migration Service for continuous replication and short, planned cutover windows.
Convert stored procedures, schemas and application queries, with automated and manual review.
Row-level validation, performance testing and rollback plans before production cutover.
Each GCP migration follows a structured path from discovery to optimization, so stakeholders always know what moves next and why.
Inventory workloads, dependencies, licensing and total cost of ownership.
Choose rehost, replatform or refactor per workload and group them into waves.
Deploy the GCP landing zone, networking, identity and security controls.
Execute migration waves with testing, validation and planned cutovers.
Rightsize, modernize and apply Google Cloud cost optimization after go-live.
We design every Google Cloud migration so your new platform is ready for analytics, generative AI and ongoing modernization, not just a copy of the old data center.
Data lands in services like BigQuery and Vertex AI can use from day one.
Standardized runbooks for VMs, databases, containers and data platforms.
Built-in Google Cloud FinOps and rightsizing after each wave.
Hybrid cloud connectivity and coexistence while workloads move.
Common questions from teams planning a GCP migration.
A focused migration of a few applications can take weeks; a large data center exit usually runs in waves over several months. The discovery phase gives you a realistic timeline.
Yes. Depending on compatibility and licensing, we migrate Oracle to Cloud SQL for PostgreSQL, AlloyDB or Bare Metal Solution for Oracle.
Often both. Many workloads are rehosted first for speed, then modernized to GKE or managed services once they run on Google Cloud.
We use continuous replication, rehearsed cutover runbooks, validation checks and rollback plans so production switches happen in short, planned windows.
Get a migration assessment covering workloads, databases, timelines and costs, and a practical plan for moving to GCP with confidence.
Book a Migration AssessmentCopyright © 2026 Auriqo| All rights Reserved.