How deeply does Automating API Delivery cover DevOps?

Defines three governing principles and describes version control and CI/CD practices, without specifying commands or pipeline configuration.

DevOps

As explained in Automating API Delivery

DevOps is a software delivery approach that integrates development and operations through lean principles, automation, feedback, and continuous learning.

As an organization adds API teams, friction between developers and platform or operations teams can force a tradeoff between delivery speed and quality. DevOps addresses that friction by applying lean principles across development and operations to deliver customer value quickly and reliably. section 1.2

Three principles guide the work:

Move valuable work quickly through the technology value stream. section 1.2
Send feedback back through the value stream so problems are detected and fixed quickly. section 1.2
Foster continuous learning, sharing, and experimentation in a high-trust environment. section 1.2

Version control makes code and configuration changes reviewable and recoverable. Continuous integration repeatedly integrates tested code into a shared branch and packages deployable artifacts; continuous delivery automates deployment to test or production environments. Together, these practices support shorter lead times without accepting a higher change failure rate. section 1.2

How Automating API Delivery covers it

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Also explained in

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Effective Platform EngineeringDevOps is a cultural and organizational approach that integrates software development and IT operations through shared responsibility for building, deploying, and operating software.
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Delivering Machine Learning Projects: From design to deploymentDevOps is a software delivery practice that integrates development and operations work through collaboration, automation, and shared responsibility.
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Think Like a Software Engineering ManagerDevOps is a set of practices that integrates software development and IT operations to deliver and operate software reliably through collaboration, automation, and continuous feedback.
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AI for Everyday ITDevOps is a set of practices that integrates software development and IT operations through collaboration, automation, continuous delivery, and shared responsibility.
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Introduction to Generative AI, Second EditionDevOps is a software-engineering practice that integrates development and operations to automate and improve software delivery and system management.
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LLMs in ProductionDevOps is the set of practices that integrates software development and IT operations to automate and improve software delivery and operation.

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Related concepts

deployment pipelineincludes · A sequence of automated or manual stages that builds, tests or validates, packages, and delivers software or models toward deployment.
GenAIOpsused by · GenAIOps is the operational discipline of applying DevOps practices to develop, deploy, monitor, and maintain generative AI applications.
APIOpsuses · APIOps is the practice of automating the governance, delivery, and operation of API products across their life cycle.

This explainer was generated by Manning's knowledge graph from the text of Automating API Delivery. The section links point to the parts of the book it draws on.