CLOUD CONTROL DICTIONARY
Master the language of cloud cost control.
Cloud cost optimization is the practice of reducing waste while preserving reliability. These definitions explain the financial mechanics, utilization signals, and audit concepts teams need before acting on cloud savings recommendations.
FinOps
Framework & CultureA portmanteau of Finance and DevOps, FinOps is an operational framework and cultural practice that brings financial accountability to the variable spend model of cloud computing. It enables engineering, finance, and business teams to collaborate on data-driven decision-making to optimize cloud value.
Reserved Instances
Commitment ModelsA billing discount model where a customer commits to utilizing a specific amount of cloud compute or database capacity (typically a 1-year or 3-year term) in exchange for significantly reduced hourly rates compared to standard on-demand pricing.
Net vs. List Price
Contract MechanicsList price represents the standard public retail rate advertised by cloud providers. Net price represents the actual billed rate after incorporating custom enterprise discounts, negotiated enterprise agreements (EA), or reservation models. Finding calculations must always use net rates to prevent double-discounting errors.
Idle Resource
Utilization & WasteAn active cloud resource (such as a Virtual Machine, Database, or Load Balancer) that continues to run and accrue static hourly charges but performs little or no meaningful operational work. Typically identified by sustained low CPU, memory, IOPS, and network throughput thresholds over a 14-day to 30-day window.
Cloud Cost Audit
GovernanceA systematic, data-backed inspection of all deployed resources across cloud subscriptions. The audit analyzes historical performance telemetry, active billing contracts, and resource metadata to verify and prove cost-saving opportunities, establishing a verified audit trail.
Explore specific cloud waste types
See exactly how our automated audit engine identifies unattached managed disks, idle databases, and oversized VMs on Azure.