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Monthly budget

As explained in Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform

A monthly budget is a financial spending limit assigned to resources or services over a one-month period.

A monthly budget sets a one-month spending limit for resources or services. In infrastructure workflows, compare estimated costs against the limit before approving changes. section 12.1.2

Use the budget as a proactive infrastructure check:

  • Parse infrastructure-as-code configuration for resource attributes and cost drivers. section 12.1.2
  • Calculate estimated monthly costs using resource quantities, regions, machine types, and pricing data. section 12.1.2
  • Run a policy test that fails when the total exceeds the permitted budget. section 12.1.2

Budget test failure

A compute estimate of $4,687.62 fails a $4,500 monthly budget test after another server is added. A separate check allows a 10% buffer above a $5,000 budget. section 12.1.2

Figure 12.3 Cost estimation parses IaC for machine types, calculates the monthly cost of the resource, and generates a value to compare with your expected budget.

Follow the workflow from IaC machine types through monthly cost calculation to comparison with the expected budget. section 12.1.2

How Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform covers it

How deep it goes
Defines the limit and demonstrates estimation and assertions, but defers specialized pricing such as discounts and preemptible instances.
Examples
Uses five servers, Google Compute Engine pricing, a $4,500 assertion, a failed $4,687.62 estimate, and a buffered database check.
What it assumes
Assumes infrastructure configuration and resource pricing knowledge while demonstrating the budgeting workflow from configuration parsing onward.
What you can do after
Evaluate infrastructure changes by estimating monthly costs and failing tests when totals exceed configured limits.
How it connects
Connects monthly budgets with cost estimation, infrastructure as code, policy tests, and cloud billing APIs.

This explainer was generated by Manning's knowledge graph from the text of Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform. The section links point to the parts of the book it draws on.