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Название: Learning GitHub Actions: Automation and Integration of CI/CD with GitHub (Early Release)
Автор: Brent Laster
Издательство: O’Reilly Media, Inc.
Год: 2022-09-13
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB
Automate your build, test, and deployment pipeline with GitHub Actions, the continuous integration and continuous delivery platform that integrates seamlessly with GitHub. With this practical book, open source author, trainer, and DevOps director Brent Laster explains everything you need to know about using actions in GitHub. You'll learn what they are and how they can be used, created, and incorporated into your processes. This book explores the platform, the core components of actions, and the many ways you can use them to provide the functionality and features needed in today's complex pipelines and workflows. You'll learn how to find or create actions that deliver automated workflows based on common events like pushes, pull requests, and review updates. You'll understand how to run them on GitHub or your own systems to gain maximum benefit.
Автор: Brent Laster
Издательство: O’Reilly Media, Inc.
Год: 2022-09-13
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB
Automate your build, test, and deployment pipeline with GitHub Actions, the continuous integration and continuous delivery platform that integrates seamlessly with GitHub. With this practical book, open source author, trainer, and DevOps director Brent Laster explains everything you need to know about using actions in GitHub. You'll learn what they are and how they can be used, created, and incorporated into your processes. This book explores the platform, the core components of actions, and the many ways you can use them to provide the functionality and features needed in today's complex pipelines and workflows. You'll learn how to find or create actions that deliver automated workflows based on common events like pushes, pull requests, and review updates. You'll understand how to run them on GitHub or your own systems to gain maximum benefit.