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How It Works
A CMP connects to cloud provider APIs, typically AWS, Azure, and GCP, and aggregates resource inventory, cost data, and usage metrics into a single interface. From there, teams can monitor spending, enforce policies, allocate costs to business units, and sometimes trigger automated actions such as rightsizing or shutdown of idle resources. The level of automation varies widely across platforms. Some CMPs focus primarily on visibility and reporting, while others extend into commitment management, governance enforcement, or workflow automation.
Why It Matters for Cloud Cost
Without a centralized management layer, cloud spending is difficult to attribute, forecast, or control. Finance teams lack the visibility to hold engineering accountable. Engineering teams lack the context to understand which workloads are driving costs. A CMP closes that gap by giving both functions a shared view of the same data. Teams that operate without one typically discover waste months after it accumulates, by which point the compounding cost is significant. For organizations running across multiple cloud providers, a CMP that covers AWS, Azure, and GCP uniformly is especially valuable because provider-native tools do not share a common data model or interface.
Usage AI: Usage AI includes ClearCost, a visibility and showback reporting layer that supports the cost transparency functions a CMP is expected to provide.