Microsoft Azure
Hub-and-spoke landing zones, migration, cost control, security and machine learning on Azure.
Azure landing zoneas the CAF describes it
AKS
Azure DevOpsAzure Machine LearningAt a glance
NGT plans, lands, migrates and modernises workloads on Microsoft Azure: assessment, a hub-and-spoke landing zone, migration, cost optimisation, security, and AI and machine learning, then operations under an agreed SLA.
Entra tenant, management groups, Azure Policy and a hub network, deployed as code before the first workload.
Budgets, tags, rightsizing, and an approval gate with a cost estimate on every Terraform change.
Data Factory, Synapse and Azure Machine Learning, with every model version approved before release.
What we build on Microsoft Azure
Six problems customers bring, each with the Azure architecture NGT builds for it.
A new web platform on Azure PaaS
A new customer-facing application must serve users in several regions, keep its data private and go live without clusters the team cannot run.
- Front Door with a WAF policy as the only way in
- Web front end and API on zone-redundant App Service, two regions
- Data behind private endpoints; Azure SQL geo-replicated to the standby
One address for users, failover to a warm standby region, and no public path to the data.
Point at a component to light its links; select it for what it does here and the practice that makes it right on Azure.
NGT on Azure, in numbers
Go deeper
Explore Microsoft Azure
4 pages, each a few minutes to read.
Frequently asked questions
What customers ask first.
With an assessment of the estate, or with a landing zone for a first workload. Both follow Microsoft's Cloud Adoption Framework, and a pilot proves the pattern before migration waves start.
Microsoft's own: Azure Migrate to discover, assess and move servers; Database Migration Service, Data Migration Assistant and SQL Server Migration Assistant for databases; Azure Monitor and Log Analytics once systems are live.
A four-step loop: set cost goals, find under-used resources, monitor, and enforce controls with Azure Policy and approval gates. Infracost can estimate every Terraform change before anything is created.
Yes: data pipelines with Data Factory and Synapse, models trained and served with Azure Machine Learning, and results in Power BI or applications. A person approves each model version before release.
Microsoft partner designations are held by FPT Software at company level. NGT claims none of its own; the current status is confirmed for each proposal.
From FPT Software Hanoi's certification register: 20 Azure certifications earned by 12 NGT engineers as of November 2024, plus 2025 additions. Microsoft certifications renew every year, so validity is confirmed for each proposal.
