HashiCorp Packer in Production (eBook)
190 Seiten
Packt Publishing (Verlag)
978-1-80324-384-9 (ISBN)
Creating machine images can be time-consuming and error-prone when done manually. HashiCorp Packer enables you to automate this process by defining the configuration in a simple, declarative syntax. This configuration is then used to create machine images for multiple environments and cloud providers.
The book begins by showing you how to create your first manifest while helping you understand the available components. You'll then configure the most common built-in builder options for Packer and use runtime provisioners to reconfigure a source image for desired tasks. You'll also learn how to control logging for troubleshooting errors in complex builds and explore monitoring options for multiple logs at once. As you advance, you'll build on your initial manifest for a local application that'll easily migrate to another builder or cloud. The chapters also help you get to grips with basic container image options in different formats while scaling large builds in production. Finally, you'll develop a life cycle and retention policy for images, automate packer builds, and protect your production environment from nefarious plugins.
By the end of this book, you'll be equipped to smoothen collaboration and reduce the risk of errors by creating machine images consistently and automatically based on your defined configuration
Set up automated workflows to keep systems and applications consistent globally, regardless of architecture, cloud, or container runtimePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesAutomate building and modifying complex software images across multiple OSs and container enginesMinimize cost by keeping your systems ready across multiple architectures, including ARM and future RISC-V processorsSpeed up your time to market by building and testing apps using upstream and future releasesBook DescriptionCreating machine images can be time-consuming and error-prone when done manually. HashiCorp Packer enables you to automate this process by defining the configuration in a simple, declarative syntax. This configuration is then used to create machine images for multiple environments and cloud providers. The book begins by showing you how to create your first manifest while helping you understand the available components. You ll then configure the most common built-in builder options for Packer and use runtime provisioners to reconfigure a source image for desired tasks. You ll also learn how to control logging for troubleshooting errors in complex builds and explore monitoring options for multiple logs at once. As you advance, you ll build on your initial manifest for a local application that ll easily migrate to another builder or cloud. The chapters also help you get to grips with basic container image options in different formats while scaling large builds in production. Finally, you ll develop a life cycle and retention policy for images, automate packer builds, and protect your production environment from nefarious plugins. By the end of this book, you ll be equipped to smoothen collaboration and reduce the risk of errors by creating machine images consistently and automatically based on your defined configuration.What you will learnBuild and maintain consistent system images across multiple platformsCreate machine images that can be used in multiple environmentsWrite a spec for a local Packer virtual machine in JSON and HCLBuild a container image with Packer in different formatsAutomate Packer with continuous delivery pipelinesDiscover how to customize Packer by writing pluginsWho this book is forThis book is for DevOps engineers, Cloud engineers, and teams responsible for maintaining platform and application images for enterprise private, hybrid, or multi-cloud environments. Familiarity with operating systems and virtualization concepts, with or without using a cloud provider, is a prerequisite.]]>
| Erscheint lt. Verlag | 14.7.2023 |
|---|---|
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik |
| ISBN-10 | 1-80324-384-8 / 1803243848 |
| ISBN-13 | 978-1-80324-384-9 / 9781803243849 |
| Haben Sie eine Frage zum Produkt? |
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