Azure spend is consumption based, scales without a purchase order, and is governed by commitments negotiated once and paid against for years. Most large estates carry an oversized commitment and avoidable waste at the same time. Size the commitment to your forecast, not theirs.
Azure spend behaves differently from licensing spend. It is consumption based, it scales without a purchase order, and it is governed by commitments that are negotiated once and paid against for years. The result is that most large Azure estates carry both an oversized commitment and a layer of avoidable waste at the same time. These are the questions buyers ask us most. For the full view see Azure cost optimization.
A MACC sized to an account team projection is a number you pay whether you consume it or not. Size the commitment to your forecast, not theirs.
A MACC, or Microsoft Azure Consumption Commitment, is a commitment to spend a set amount on Azure over a term in exchange for discounting. Sized to real consumption it is a sound structure. Sized to an account team projection it becomes a number you pay whether or not you consume it. The commitment itself is negotiable, not only the discount attached to it. See Azure consumption commitment.
Both trade flexibility for discount against pay as you go rates. Reserved Instances commit to specific capacity for one or three years and deliver the deepest savings on stable workloads. Savings plans commit to an hourly spend and offer more flexibility across services. Mature estates blend the two against a predictable baseline. See savings plan versus RI.
Azure Hybrid Benefit lets you apply existing Windows Server or SQL Server licenses with active Software Assurance toward Azure workloads, reducing cloud cost. It is frequently underclaimed, which leaves real savings on the table, and occasionally overclaimed, which creates audit exposure. See Azure Hybrid Benefit.
By sizing every commitment to your own consumption forecast rather than the account team's growth projection. The seller's incentive is a larger commitment; yours is a commitment that matches reality with headroom you control. We rebuild the forecast from your data before any number is agreed. See Azure cost optimization.
Orphaned resources are provisioned Azure assets, disks, IP addresses, idle instances, that continue to bill after the workload they served is gone. They accumulate silently and can represent a meaningful share of a large Azure bill. Identifying and reclaiming them is among the fastest optimization wins. See orphaned resources.
Yes. Azure commitments are a negotiation in their own right, with discount tiers, ramp schedules, and term flexibility all in play, and they interact directly with the broader agreement. Running Azure as a take it or leave it consumption line rather than a negotiated commitment is one of the most common sources of overspend. See Azure commit strategy.
Azure OpenAI is consumed and billed within your Azure commitment, priced on usage of the underlying models. Because consumption can scale quickly, it should be forecast and governed like any other consumption line, not left to grow unmanaged against a commitment sized before the workload existed. See Azure OpenAI licensing.
Tagging assigns cost to the business units and workloads that generate it, which makes accountability and chargeback possible. Without disciplined tagging an Azure bill is a single opaque number that no one owns, and optimization stalls because no one can see where the spend lives. See tagging and cost allocation.
Yes. We right size resources, build a defensible consumption forecast, structure the commitment and reservation portfolio to it, and negotiate the discount and terms. Buyer side only, with no reseller margin in the outcome. Reach the practice through contact.
We right size resources, build a defensible consumption forecast, structure the commitment and reservation portfolio to it, and negotiate the discount and terms. No reseller margin in the outcome.