Your on-premises infrastructure is holding you back. High fixed costs, manual scaling, and updates that take weeks. Google Cloud gives you Google's infrastructure—the same used by YouTube, Gmail , and Google Search—for your workloads.
If you recognize any of these problems, it is time to speak up:
Not all workloads are migrated in the same way. We evaluate each application and select the strategy with the best cost-benefit ratio:
Move your application to Compute Engine exactly as it is. Without changing code. Same operating system, same architecture, but on Google's infrastructure.
Partially migrate and adapt: move the database to Cloud SQL , use Cloud Storage instead of NFS, or containerize for GKE. Minimal changes, high impact.
Rebuild using Cloud Run , Cloud Functions, and Pub/Sub. A serverless microservices architecture that scales automatically, where you pay only for actual usage.
Each modernization project follows a proven process with clear milestones:
We inventory your current infrastructure: servers, applications, dependencies, and data. We define what to migrate, the order of migration, and the strategy. We estimate costs and the timeline.
We build your landing zone: project structure, VPC, IAM, security policies, and connectivity to your existing network (Cloud VPN or Interconnect). The solid foundation upon which everything is built.
We do not migrate everything at once. We start with low-risk workloads to validate the process and scale up in waves until the migration is complete—without operational disruptions.
Once migrated, we optimize: VM rightsizing, CUDs, autoscaling, monitoring, and alerts. If you wish, we can transition to managed services for ongoing operations.
| Google Cloud | On-premises | |
|---|---|---|
| Initial cost | No investment — pay-per-use | Hardware + licenses + data center |
| Scaling | Minutes (autoscaling) | Weeks (purchase + installation) |
| Availability | 99.99% SLA with credits | It depends on your equipment. |
| Security | Encryption by default + 800+ controls | The manual: your responsibility |
| Disaster Recovery | Integrated multi-region replication | Second CPD (double cost) |
| AI and ML | Vertex AI , Gemini , BigQuery ML | Expensive GPUs + in-house expertise |
Frequently Asked Questions
It depends on the scope. A small environment (5–10 VMs) can be migrated in 2–4 weeks. More complex environments involving databases, integrations, and legacy applications may take 2–4 months. We break the process down into waves to minimize risk.
We minimize it as much as possible. For most workloads, we use live migration with Migrate for Compute Engine: the VM is replicated in real time, and the final cutover takes minutes. We schedule this during agreed-upon maintenance windows.
Generally, no. The TCO (Total Cost of Ownership) in the cloud is typically 30–40% lower when you factor everything in: hardware, electricity, cooling, personnel, licenses, maintenance, and the risk of downtime. We conduct a free TCO analysis before getting started.
Yes. Many customers start with a hybrid model: part of the infrastructure on GCP and part on-premises, connected via Cloud VPN or Cloud Interconnect. You migrate at your own pace.
GCP supports Windows Server (2012 R2 and later), SQL Server, Active Directory, and .NET. You can bring your existing licenses (BYOL) or use Google's included licenses. You do not need to rewrite anything.
We provide a free TCO analysis: we compare your current spending with what you would spend on GCP . No obligation.
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