How It Works
Cloud providers let you attach key-value pairs to resources at the time of creation or afterward. On AWS, these are called cost allocation tags. On Azure, they are simply called tags. On GCP, they are called labels. When these tags are applied consistently and captured in billing exports, finance and engineering teams can break down total cloud spend by any dimension they care about: a product line, an environment like production or staging, a cost center, or an individual team. Without metadata, all resource costs roll up into a single undifferentiated bill with no way to identify who spent what.
Why It Matters for Cloud Cost
Allocation metadata is the foundation of any FinOps practice. Showback reports, chargeback models, and budget forecasts all depend on accurate, consistent tagging. When metadata is incomplete or inconsistently applied, finance teams are left estimating allocations or writing off entire cost categories as shared overhead. This erodes accountability and makes it nearly impossible to reduce spend at the team or project level. Poor tagging hygiene is one of the most common reasons cloud cost management programs stall before they produce results.
Usage AI: Usage AI includes ClearCost, a visibility and showback reporting layer that helps finance and engineering teams understand spend across the organization.