Microsoft Azure Consulting

Subscription topology is the decision that haunts you later. We design management groups, subscriptions, and resource groups so billing, policy, and access boundaries line up with how your teams work. We will also tell you when the unglamorous answer is right: App Service and Azure SQL cover more ground than most teams admit, and AKS is a commitment, not a default.

New environments start as code, not portal clicks: a landing zone sized to your company rather than the full enterprise-scale reference, Entra ID groups instead of one-off role assignments, Azure Policy keeping names, tags, and regions honest. A ten-person team does not need forty management groups. We build the amount of structure you will maintain.

Moving from on-prem is rarely just a compute move; identity and data are the hard parts. We plan the hybrid period deliberately, because most estates live in it longer than intended: Entra Connect, DNS, private connectivity over ExpressRoute or VPN. SQL Server gets its own assessment, since Managed Instance, SQL Database, and SQL on a VM are genuinely different answers with different failure modes.

We take Reader on the subscriptions in scope and map what exists: resource groups nobody owns, disks orphaned by deleted VMs, the storage account made public in 2021 for a demo. You get a clear picture of the estate and a short list of fixes ordered by risk, sized so your team can schedule them.

Azure security problems are usually identity problems. We review Entra ID and RBAC: Owner grants that outlived their reason, service principals with secrets set to never expire, the places where a managed identity should exist and doesn't. Then network exposure, public storage accounts, and Defender for Cloud, whose findings are useful once someone separates real risk from noise.

Cost work stands on its own as an engagement; you don't need anything else from us to book it. We go through Cost Management line by line: VMs that should be reserved or simply off, premium disks under dev boxes, Log Analytics ingesting gigabytes nobody queries, environments running all weekend for no one. Then budgets, alerts, and tagging, so the picture stays visible after we leave.

Portal-built infrastructure makes every change a small act of courage. We move resources under Bicep or Terraform and run deployments through Azure DevOps or GitHub Actions, so the portal becomes read-only in practice. On the tooling question: if Azure is all you will ever run, Bicep is a fine answer; if a second cloud is plausible or your team already knows Terraform, use Terraform.

Azure performance problems are often tier and quota problems in disguise: an App Service plan one size too small, Azure SQL throttled at its DTU ceiling, a storage account at limits nobody knew it had. We measure first. Scaling up is easy; paying to scale the wrong resource is easier still.

Most tenants have either no alerts or three hundred that everyone ignores. We consolidate Log Analytics workspaces, wire Application Insights into the services that matter, and cut the alert rules down to the set that means a human should look now. Ingestion pricing gets attention too, because Azure Monitor can quietly become one of your larger line items.