Google Cloud
Migration with a pilot first, regulated GKE platforms, and data and AI pipelines on Google Cloud.
Google Cloudpilot first, then launch
Everything as codeBigQuery and LookerAt a glance
NGT migrates, builds and runs workloads on Google Cloud: a pilot before every launch, Terraform and GKE platforms, regulated environments where every change comes from code, and data and AI pipelines on BigQuery and Vertex AI.
A low-risk workload moves first; performance, stability and cost are checked before the rest follows.
Every project and every release from code, through security gates; nothing changed by hand.
Dataflow, BigQuery, Vertex AI and Looker, built by DevOps, data and AI engineers together.
What we build on Google Cloud
Six problems customers bring to Google Cloud, each with the architecture NGT uses for it. Select one.
A new platform from zero
A new product starts on Google Cloud with nothing in place: no projects, no pipeline, no standard way to run containers or databases.
- Projects and services from Terraform modules, applied by Cloud Build
- GKE or Cloud Run behind Cloud Load Balancing and Cloud Armor
- Images scanned in Artifact Registry, released by Cloud Deploy
Every environment built the same way from code, with monitoring and budgets on from the first release.
Point at a component to light its links; select it for what it does here and the practice that makes it right on Google Cloud. A Google Cloud product without an icon of its own shows its category's icon, as Google's icon set does.
NGT on Google Cloud, in numbers
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Explore Google Cloud
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Frequently asked questions
What customers ask first.
With an assessment of the estate, usage and billing data, then a plan and a pilot of one low-risk workload. The launch follows only once the pilot has checked performance, stability and cost.
Google's own: Migrate to Virtual Machines for servers, Database Migration Service for databases, and Cloud Monitoring and Cloud Logging from the first day. The foundation is written in Terraform.
Yes: pipelines on Dataflow, Pub/Sub and Cloud Composer, analytics in BigQuery and Looker, and models on Vertex AI, built by DevOps, data and AI engineers together.
Yes. NGT designs regulated platforms on Google Cloud where every project is created from code and every release passes security and quality gates, against the customer's frameworks such as ISO 27001, PCI DSS or HIPAA.
Google Cloud partnerships are held by FPT Software at company level. NGT claims none of its own; the current status is confirmed for each proposal.
