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Dry run

A dry run is an execution mode that previews, validates, or reports an operation’s prospective behavior without carrying out the effects being previewed.

How 3 Manning books explain it

Google Anthos in Action

Dry-run is an enforcement mode that reports policy violations without blocking the operation that caused them.

How it is used
Tests Policy Controller constraints against a cluster before enforcement can disrupt Pods.
How deep it goes
Walks through manifest configuration, violation inspection, and promotion to enforcement, without detailing the audit controller's internals.
Examples
Uses privileged-container and host-namespace constraint manifests, plus audit output identifying affected system Pods.
What you can do after
Operate/configure it to identify unintended policy violations before changing a constraint to enforcement.

Read how Google Anthos in Action explains dry run →

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

A dry run is an execution mode that analyzes and reports expected changes without applying them to the target resources.

How it is used
Uses infrastructure previews to review provisioning changes, test configuration, and protect live resources during refactoring or tool migration.
How deep it goes
Explains previews, dependencies, JSON inspection, testing, and refactoring checks, but leaves dry-run formats and standards broadly unspecified.
Examples
Uses Terraform plans, JSON dry-run files, pytest checks, subnet configurations, and no-change refactoring plans.
What you can do after
Diagnoses unintended infrastructure changes and validates configuration before deployment or migration.

Read how Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform explains dry run →

Acing the Certified Kubernetes Administrator Exam, Second Edition

Dry-run is a command option that simulates an operation without applying its resulting resource changes.

How it is used
Generates Kubernetes resource skeletons for editing, verification, and efficient exam-oriented manifest creation.
How deep it goes
Explains client-side YAML generation and the subsequent creation step, but does not detail broader dry-run behavior.
Examples
Uses kubectl run to generate Pod YAML, edits tolerations or containers, and later creates or applies the manifest.
What you can do after
Build it from scratch by generating an editable Kubernetes manifest and applying it after the required fields are added.

Read how Acing the Certified Kubernetes Administrator Exam, Second Edition explains dry run →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.