Your Dutch Google Cloud Partner
As a Google Cloud partner, we build and manage Google Cloud environments for Dutch organizations, from the initial landing zone to GKE platforms and day-to-day management. You’ll work with engineers from Geldermalsen who are familiar with your project, and you’ll retain control over your data, keys, and costs.
Our Google Cloud Services
We'll start with your Google Cloud organization and the policies that apply to it. Next, we'll cover workloads and data. You decide which components you want to entrust to us.
01
Review & Roadmap
We'll review your existing Google Cloud organization or migration plan in terms of IAM, networking, and costs, and provide a roadmap for each workload.
02
landing zone & EU Data Regulations
We'll set up your resource hierarchy, VPC Service Controls, and EU Data Boundary policies, with key management via Cloud KMS or Cloud EKM.
03
GKE platform
We build standardized GKE clusters from shared templates, policies, and GitOps deployments for your development teams.
04
Managed Services
With Managed Cloud and Managed Kubernetes, we take over the management, upgrades, and cost monitoring of your Google Cloud environment.
05
Support
Need Google Cloud support right now?
Is your Google Cloud project experiencing issues, or is a cluster not working as expected? Contact us, and a SUE engineer will help you troubleshoot the problem.
Request supportGoogle Cloud Content Expert
Read what analysts and Google itself are publishing about the Dutch DPIA, AI agents, GKE, and migration funding.
"We put Google Cloud to work for you, so you can focus on growing, innovating, and delivering results."
Google Cloud Use Cases
01
Migrating to Google Cloud Using a landing zone and RaMP
Common Migration Challenges
If you move to Google Cloud without a solid foundation, each team will end up with different projects, networks, and permissions. Fixing these issues after the fact costs more than setting them up properly from the start. At the same time, you’ll want to know how much the migration will cost and whether Google will contribute to those costs.
Build the foundation first, then migrate one workload at a time
We’ll set up your Google Cloud organization with a fixed folder and project structure, Shared VPC, and organization policies that restrict new resources to EU regions such as europe-west4 in Eemshaven. We’ll handle key management using Cloud KMS or Cloud EKM, so you retain control of the keys. Then we’ll migrate workloads in waves to Compute Engine, GKE, or managed services. Through the Rapid Migration & Modernization Program (RaMP), Google offers an assessment and potentially service funds or credits; we’ll work with you to determine if this is a good fit for your migration.
Advantages
Every new project starts within the same framework for networking, permissions and data location. A migration plan that includes costs per workload and, potentially, a contribution from Google.
02
GKE as a platform for containers and AI inference
Common Kubernetes Challenges
Each team runs its own GKE clusters, with its own choices regarding networking, upgrades, and security. With AI inference, GPU and TPU nodes are added, resulting in new cost items.
Make GKE a single internal platform
We design a GKE platform with fixed cluster templates, policies, and GitOps deployments, so that development teams can roll out updates themselves within agreed-upon parameters. For models in production, we set up the GKE Inference Gateway and autoscaling. With Managed Kubernetes, we handle upgrades and monitoring of your clusters.
Advantages
One approach for all your clusters. Google reports that GKE Inference Gateway can reduce serving costs by up to 30%.
The IT challenges
Under the GDPR and NIS2, Dutch organizations must demonstrate where their data is stored and who has access to it; financial institutions must also comply with DORA. Those who deploy AI agents in production will also be subject to the AI Act. At the same time, businesses want to roll out new data and AI applications more quickly, without cloud costs rising unnoticed.
How Google Cloud Helps
- Layered sovereignty: Google Cloud offers Data Boundary in the public cloud, Google Cloud Dedicated through local partners, and Google Distributed Cloud—which is air-gapped—for fully isolated environments.
- Data and AI on a single platform: BigQuery, the Knowledge Catalog, and the Gemini Enterprise Agent Platform share the same IAM and governance, so you don't have to keep copying your data.
- Kubernetes at scale: According to Gartner, GKE is once again a Leader in the Magic Quadrant for Container Management and also runs GPU and TPU workloads for inference.
Work with SUE on your Google Cloud implementation
- Foundation first: We build the organization, the network, and the policies first, and only then do we migrate your workloads.
- Kubernetes experience: We have been building and managing Kubernetes and Linux environments for years, and we bring that experience to GKE.
- Costs at a Glance: With Cloud Cost Optimization, we track your Google Cloud costs by project and by team.
- Local Management: After going live, the same team from Geldermalsen remains involved through Managed Cloud or Managed Kubernetes.
Frequently asked questions
All frequently asked questionsStart by gaining insights on a per-project and per-team basis, using labels and exporting your billing data to BigQuery. Next, we’ll perform rightsizing based on Recommender’s recommendations, clean up unused resources, and apply committed use discounts for stable workloads. For GKE, Autopilot—where you pay per pod instead of per node—can be more cost-effective for fluctuating workloads. With Cloud Cost Optimization, we’ll carry out these steps with you.
The Dutch Google Cloud region is called europe-west4 and operates in Google's data center in Eemshaven. Using organizational policies or the EU Data Boundary feature in Assured Workloads, you can enforce that new resources are created only in EU regions such as europe-west4.
Data Boundary keeps your data in the public Google Cloud within a selected region, with dedicated key management and control over administrator access. Google Cloud Dedicated runs on separate infrastructure managed by a local partner, such as Thales in France and, starting in late 2026, in Germany. Google Distributed Cloud (air-gapped) is located in your own data center, with no connection to the internet.
RaMP (Rapid Migration & Modernization Program) is Google Cloud’s migration program. It begins with an assessment that includes a TCO analysis and can subsequently provide service funds and Google Cloud credits, depending on the expected usage of the migrated workloads. We’ll evaluate whether RaMP is a good fit for you on a per-migration basis.
The Gemini Enterprise Agent Platform is the environment in which Google has been consolidating its tools for building and managing AI agents since Next 2026, including Vertex AI Agent Builder and the Agent Development Kit. You can select models such as Gemini 3.1 Pro and manage permissions and monitoring through Agent Identity, Agent Gateway, and Agent Observability. According to Forrester, Agent Identity is generally available, while many other components are still in preview.
Choose an experienced Google Cloud partner
Choose an experienced Google Cloud partner
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