Most Azure problems start before the first workload: subscriptions created as needed, networks that grew one project at a time, and nobody quite sure who can change what. We design the foundation first, move or build your workloads on it, and administer it afterwards so access and costs stay under control.
Landing zone
A landing zone is the set of decisions every workload inherits: how subscriptions and resource groups are organized, how the network connects to your offices and data centers, which identities can do what, where logs go, and which policies stop risky configurations. Getting it right once is much cheaper than fixing it underneath twenty workloads.
We design it with you, with Microsoft Entra ID for identity and Azure Policy for guardrails, and we build it as code so it can be reviewed, repeated and changed safely. A small organization gets a small landing zone; the point is a clear standard, not a large one.
Moving and building
Not every server should move as it is. Some do, as Azure virtual machines; some databases are better on Azure SQL Database or Azure SQL Managed Instance; some applications are worth rebuilding as Azure Functions or containers. We assess each workload, recommend the target and move it in planned waves, as our cloud migration page describes.
New applications we build on the services Azure runs for you. Our own repair-business platform runs on Azure Container Apps, with four role-based workspaces in one application. The document and analytics agents we build for clients run on Azure Functions and reach their data with managed identity, so no password sits in a configuration file.
Running Azure
Once workloads are live, someone has to watch backups, patching, access and spend. We administer Azure to the standard we set: virtual machines patched, backups checked, access reviewed, and alerts sent to people who will act on them. Security recommendations come from Microsoft Defender for Cloud, and the same identity policies that protect Microsoft 365 protect Azure.
Cost gets a monthly review. We look for idle and oversized resources, storage in the wrong tier and steady workloads that would cost less on reservations or a savings plan, and we tell you what we would change, and what it would save, before we change it.
Beyond infrastructure
Azure rarely stands alone. The same tenant holds Microsoft 365, SharePoint and, more and more, Copilot and its agents, and the same identities sign in to all of them. Our Microsoft Consulting team works on Fabric, Azure AI Foundry, Purview and SharePoint, so the infrastructure we build is ready for the data and AI work that comes after it.
Case studies
Client names are withheld. We are happy to share details on a call.
4 roles, 1 app
Computer repair
A web application that runs the repair business end to end: a customer portal for booking and tracking repairs, and separate workspaces for technicians, accountants and administrators. Phase one went live in June 2026; phase two is in progress.
Four role-based workspaces in one appPhase one live in June 2026KPIs on request
Food manufacturing
Marketing staff ask about paid-media results in plain English. The agent reads campaign data from SharePoint, runs the calculations in Python on Azure Functions rather than summarizing, and returns charts and Word or Excel reports.
Campaign KPIs without waiting for an analystSecure access with managed identity, no stored passwordsEvery change, flagged
Food manufacturing
Compares two versions of a product label, highlights every change, annotates the PDF and returns an audit-ready list of differences. We moved it from Copilot Studio to Azure Functions when the document processing outgrew the low-code platform.
Audit-ready differences in one chat turnRebuilt from low-code to cloud functionsQuestions
You need the decisions a landing zone records: how access, networking, logging and policies work. For a few workloads that can be a short document and a small amount of code. It becomes a larger design only when you have several teams, regions or regulatory requirements.
Yes. We start with a review of what is there: subscriptions, networks, identities with access, policies, backups and spend. You get a list of risks and quick savings, and we agree what to fix first before we take on day-to-day administration.
Tags so every resource has an owner, budgets and alerts for each subscription, and a monthly review of idle, oversized and wrongly tiered resources. Steady workloads are candidates for reservations or a savings plan. We report what we found and what each change would save.
Often what you already run decides it: organizations that work in Microsoft 365 and Entra ID usually find Azure simpler to govern. We work on Azure, AWS and Google Cloud, and some clients use more than one. We recommend from your workloads and contracts, not from a preference.
From the blog
September 30, 2026
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