How deeply does Think Like a Software Engineering Manager cover quality gate?

Defines gates and gives representative conditions, but does not detail their implementation or configuration.

Quality gate

As explained in Think Like a Software Engineering Manager

A quality gate is a release-control condition that must be satisfied before software can proceed to a later delivery stage.

A quality gate is a release-control condition that software must satisfy before deployment can continue. It acts as a guardrail, stopping changes that are not ready or whose timing is inappropriate. section 12.2.4

Common deployment gates include:

Test coverage rules that block changes when required coverage is not met. section 12.2.4
Date and time restrictions that prevent deployment during unsuitable windows. section 12.2.4
Product launch-date constraints that coordinate deployment with planned releases. section 12.2.4

A deployment pipeline blocker

A pipeline can stop a production deployment when its test-coverage rule is unmet, preventing incomplete changes from progressing until the condition is satisfied. section 12.2.4

How Think Like a Software Engineering Manager covers it

Cover of Think Like a Software Engineering Manager

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Also explained in

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Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform
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Shipping Go: Develop, deliver, discuss, design, and go againA quality gate is a checkpoint that evaluates a product or work output before it proceeds to a subsequent production or delivery stage.

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Related concepts

pipelinepart of · A pipeline is an ordered or coordinated sequence of connected processing stages or tasks that passes data, work, or results toward an outcome.
fidelitymeasures · Fidelity is the degree to which an output, model, or representation accurately reflects or is supported by its relevant source, target, evidence, or behavior.
software artifactuses · A software artifact is a persistent work product or object produced or maintained during software development or a related workflow.
large language modeluses · A large language model is a machine-learning model, typically neural, trained on extensive text data to process and generate language.

This explainer was generated by Manning's knowledge graph from the text of Think Like a Software Engineering Manager. The section links point to the parts of the book it draws on.