Commercial and channel
Rightsizing
Azure rightsizing
Rightsizing is the process of matching a resource, most often an Azure virtual machine, its SKU, to the CPU, memory, and network throughput it actually uses, rather than the capacity it happened to be provisioned with.
Why Rightsizing matters in a Microsoft estate
Rightsizing matters because Microsoft estate decisions often have a commercial owner as well as a technical owner. Clear cost, licence, and partner language helps teams prove value, reclaim waste, and agree the next action before spend becomes harder to challenge.
How Rightsizing shows up in practice
Oversizing is one of the most common and most persistent sources of Azure waste. Virtual machines are typically sized for a launch peak, a worst-case estimate, or a like-for-like lift from on-premises hardware, and then never revisited once the workload settles into its real, usually much lower, steady-state demand. The correct approach is evidence-based rather than judgement-based. First, gather utilisation metrics, typically CPU, memory, and network, over a representative window such as 30 days, and identify machines whose sustained and peak usage sit well below their provisioned capacity.
Then move them to a smaller SKU with sensible headroom rather than the tightest theoretical fit, since real workloads have variance a single utilisation figure will not show. Azure Advisor generates rightsizing and shutdown recommendations directly from this kind of evidence and is usually the fastest starting point. Its recommendations should still be checked against a longer observation window before acting, since a short sampling period can miss legitimate periodic peaks such as month-end batch processing. Rightsizing is not a one-off project. Workload demand drifts as usage patterns, user counts, and application versions change, so machines that were correctly sized six months ago routinely become oversized again without any single deliberate decision causing it.
This is why the practice belongs in a recurring monthly or quarterly review, rather than a single cleanup pass. The discipline extends beyond virtual machines to any provisioned-capacity resource with a similar failure mode, including database service tiers, App Service plans, and Azure Kubernetes Service node pools, though the evidence and mechanics differ by service. Done properly, with a real utilisation baseline and a before-and-after comparison, rightsizing produces one of the most defensible savings figures in cloud cost work, because the evidence for both the waste and the fix is the same data.