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5 articles with this tag.
Most Azure waste is not a bad architecture decision. It is a meter that kept running after its reason ended: a disk left behind by a deleted VM, a public IP nobody released, an empty App Service plan, a reservation nobody watches. This list covers seven common leaks, with how to find each one, how to fix it, and whether policy can stop it coming back, checked against Microsoft's documentation in September 2026.
10 min read
Azure budgets alert, they do not stop spending, and every cost alert in Azure works on data that is hours or days old. This guide separates preventive guardrails (Azure Policy, quotas, subscription vending) from detective ones (budgets, anomaly alerts, Advisor), shows the latency gap between them, and proposes a baseline that puts each control at the right scope. Checked against Microsoft's documentation in September 2026.
10 min read
Microsoft 365 Copilot and its agents are paid for in three different ways, and each one bills to a different place: per-user seats on the Microsoft 365 invoice, prepaid Copilot Credits allocated to Power Platform environments, and pay-as-you-go charges on an Azure subscription. This guide explains the three cost shapes, the controls Microsoft provides for each, and a chargeback model built on them, checked against Microsoft's documentation in September 2026.
10 min read
Azure OpenAI in Microsoft Foundry Models has three billing shapes: pay per token, reserve capacity in provisioned throughput units, or accept a 24-hour target turnaround for half price with Batch. This guide explains where tokens come from in an agent turn, how PTU sizing and reservations work, when spillover helps, and how to monitor spend, with every claim checked against Microsoft's documentation in September 2026.
10 min read
A field-tested strategy for moving a VMware estate to Azure without pretending lift-and-shift is easy: how to run the provider evaluation, design waves around downtime tolerance, protect data integrity, plan a rollback you can actually execute, and validate the result — in a regulated, always-on environment.
16 min read