32 cloud cost terms explained in plain English, with formulas, worked examples and where to find each one in AWS, Azure and Google Cloud.
Showing 32 terms
AI, data & SaaS costs
AI cost tracking is collecting what an organization spends on AI, from model APIs such as Anthropic and OpenAI, cloud AI services such as Amazon Bedrock, and AI tools such as coding assistants, in one place, and attributing it to the teams, products and models behind it. It applies FinOps to AI spend.
Billing & cost types
Amortized cost spreads each commitment fee across the period it covers, so a one-year Reserved Instance or Savings Plan paid up front shows up as a share of the fee every day of the term instead of one large charge on the day you buy it.
Billing & cost types
Blended cost is AWS cost priced at a blended rate: the average of the Reserved Instance and on-demand rates that accounts in an AWS Organization paid for the same usage. It spreads the benefit of reservations evenly across accounts, so it rarely matches what any one account was actually charged.
Governance & planning
A budget is a planned spending limit for a period, such as a team's monthly cloud cost, with alerts when actual or forecasted spend crosses thresholds you set, such as 80% and 100%. On AWS, Azure and Google Cloud a budget warns rather than stops spending, unless you attach actions or automation to it.
Allocation & accountability
Chargeback is billing each team or business unit for its allocated cloud cost, so the cost lands in that team's budget in the company's accounts. It uses the same allocation as showback, but money actually moves, which is why the rules for shared and unallocated cost must be agreed first.
Optimization
Cloud waste is cloud spend that buys nothing the business needs: idle resources, over-provisioned resources and commitments paid for but not used. It's measured in money rather than resources, and removing it lowers the bill without changing what users get, which is why cost optimization usually starts there.
Commitments & rates
Commitment coverage is the share of commitment-eligible usage that a Reserved Instance, Savings Plan, Azure reservation or Google Cloud committed use discount paid for, measured at on-demand prices. The rest was billed at full on-demand rates, so low coverage on steady usage is money left on the table.
Commitments & rates
Commitment utilization is the share of a commitment you paid for that your usage actually consumed: used commitment ÷ total commitment. Anything below 100% is commitment you paid for and didn't use, so it shows how well a Reserved Instance, Savings Plan, Azure reservation or committed use discount fits real usage.
Commitments & rates
A committed use discount (CUD) is Google Cloud's commitment discount: you commit to a set amount of resources, such as vCPUs and memory in one region, or to an hourly spend, for one or three years, and pay lower prices on that usage. The commitment is billed every month of the term, used or not.
Allocation & accountability
Cost allocation is assigning every part of the cloud bill to the team, product or customer responsible for it, using accounts, tags and agreed rules for shared costs. It turns one invoice into numbers each owner can act on, and it is the basis for showback, chargeback and unit economics.
Allocation & accountability
Cost allocation tags are key-value labels, such as team=checkout, attached to cloud resources so their cost can be grouped by owner, product or environment. On AWS a tag key only reaches billing data after it is activated for cost allocation, and tag keys and values are case-sensitive.
Billing & cost types
The Cost and Usage Report (CUR) is AWS's most detailed billing dataset: every charge, down to the hour and the resource, with its usage, rates, discounts and commitment details, delivered as files to an S3 bucket you own. CUR 2.0, created through AWS Data Exports, has a fixed set of columns.
Governance & planning
A cost anomaly is spend well outside what a service, account or team normally costs, such as a day costing several times its recent average. Anomaly detection compares each day with a baseline learned from history and alerts on the difference, so a runaway job is caught in days, not at the end of the month.
Governance & planning
Cost forecasting is predicting what cloud spend will be in a future period, from past cost, planned changes and business drivers such as expected orders or customers. Forecasts set budgets, size commitments and warn when spend is heading off plan, and their accuracy is measured as forecast variance: how far actual cost lands from the prediction.
AI, data & SaaS costs
Cost per token is what a language model charges for each token it reads or writes, usually quoted per million tokens, with input, cached input and output tokens priced separately. Output tokens typically cost several times more than input, so the mix of token types, not just the volume, decides the bill.
Optimization
Data transfer cost is what cloud providers charge to move data: out to the internet, between regions, between availability zones, and through services such as NAT gateways. Data coming in from the internet is usually free; data going out rarely is. It's priced per gigabyte, so it grows with traffic and often surprises teams.
Commitments & rates
Effective savings rate (ESR) is net savings as a share of what all commitment-eligible usage would have cost at on-demand prices. Because it subtracts commitment you paid for but didn't use, it is the one rate-optimization number that buying too many Reserved Instances, Savings Plans or committed use discounts can't inflate.
FinOps foundations
FinOps is an operational framework and cultural practice that maximizes the business value of technology, enables timely data-driven decisions, and creates financial accountability through collaboration between engineering, finance and business teams. In practice, the people who spend on the cloud see what it costs, own it, and decide with that cost in mind.
FinOps foundations
The FinOps Framework is the FinOps Foundation's open model for running a FinOps practice. It sets out principles, personas, the Inform, Optimize and Operate phases, four domains of capabilities, scopes and a crawl, walk, run maturity scale, and practitioners update it every year.
FinOps foundations
The FinOps Open Cost and Usage Specification (FOCUS) is an open standard for cloud, SaaS and other technology billing data: one set of column names and definitions, such as BilledCost and EffectiveCost, that every provider fills the same way. AWS, Azure and Google Cloud can all export cost data in FOCUS format.
Optimization
Idle resources are cloud resources you still pay for that do no useful work: instances with almost no CPU or network traffic, unattached disks, unused IP addresses, and snapshots or load balancers nobody uses. They are the simplest cloud waste to remove, because stopping or deleting them usually changes nothing for users.
Protocols & tooling
The Model Context Protocol (MCP) is an open standard for connecting AI applications to external tools and data. An MCP server exposes tools, resources and prompts over JSON-RPC, and any MCP client, such as Claude, ChatGPT or Cursor, can use them, so one integration works across many AI assistants.
Billing & cost types
On-demand price is the public, pay-as-you-go price for cloud usage with no commitment: you pay per second, hour, gigabyte or request for what you use. It is the baseline that every commitment discount, and metrics such as coverage and effective savings rate, are measured against.
Commitments & rates
A Reserved Instance (RI) is a one- or three-year commitment to a specific kind of capacity, such as an EC2 instance type in a region or an RDS database, in exchange for a lower hourly price. It's a billing discount, not a server, and you pay for every hour of the term whether the capacity runs or not.
Optimization
Rightsizing is changing a cloud resource to the smallest size or type that still meets its workload's real needs, based on measured CPU, memory, storage and network use. It's one of the largest usage savings in FinOps, and it should come before buying commitments, so you don't commit to capacity you don't need.
Commitments & rates
A Savings Plan is an AWS or Azure commitment to spend a fixed amount per hour on eligible compute for one or three years. Usage up to that amount is billed at lower rates, and the discount follows your usage across instance sizes and, with the most flexible plans, instance families and regions.
Allocation & accountability
Showback is reporting each team's allocated cloud cost back to that team, for visibility and accountability, without moving money between budgets. It shows owners what their choices cost so they can act on it, and unlike chargeback it is not entered into the company's accounts.
Optimization
Spot instances are spare cloud capacity sold at a steep discount, up to 90% off on-demand prices on AWS and Azure and up to 91% on Google Cloud, which the provider can reclaim at short notice. They suit work that can stop and restart, such as batch jobs, CI pipelines and stateless services.
Commitments & rates
A sustained use discount (SUD) is a discount Google Cloud applies automatically to some Compute Engine resources that run for more than 25% of a month. The longer they run, the lower the rate for the remaining hours, up to 30% off for a full month on eligible machine series, with no commitment.
Allocation & accountability
Tag coverage is the share of cloud cost that carries a given tag, such as team, over a period: tagged cost ÷ total cost. The rest is untagged cost that nobody can allocate, so tag coverage shows how much of the bill your allocation actually reaches.
Billing & cost types
Unblended cost is AWS cost as billed: each line priced at the rate actually charged for it, on the day the charge occurs. Upfront commitment fees appear in full on the day you pay them and discounts can show as separate lines, which makes unblended cost the view that matches the invoice.
FinOps foundations
Unit economics is measuring cloud cost per unit of business value, such as cost per order, per customer or per API call, by dividing what a product costs by how much it delivered. It shows whether spend is growing because the business is growing or because the product is becoming less efficient.
Start your free trial today and see how CloudYali can help you save.
Start your free trial today and see how CloudYali can help you save.
Start your free trial today and see how CloudYali can help you save.
Start your free trial today and see how CloudYali can help you save.
Start your free trial today and see how CloudYali can help you save.
