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Puppet 8 for DevOps Engineers

Puppet 8 for DevOps Engineers

By : David Sandilands
4.8 (5)
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Puppet 8 for DevOps Engineers

Puppet 8 for DevOps Engineers

4.8 (5)
By: David Sandilands

Overview of this book

As DevOps and platform engineering drive the demand for robust internal development platforms, the need for infrastructure configuration tools has never been greater. Puppet, a powerful configuration management tool, is widely used by leading enterprises and boasts a thriving open source community. This book provides a comprehensive explanation of both the Puppet language and the platform. It begins by helping you grasp the basic concepts and approach of Puppet as a stateful language, and then builds up to explaining how to structure Puppet code to scale and allow flexibility and collaboration among teams. As you advance, you’ll find out how the Puppet platform allows the management and reporting of infrastructure configuration. The book also shows you how the platform can be integrated with other tooling, such as ServiceNow and Splunk. The concluding chapters help you implement Puppet to fit in heavily regulated and audited environments as well as modern hybrid cloud environments. By the end of this book, you’ll have gained a solid understanding of the capabilities of both the Puppet language and platform, and you will have learned how to structure and scale Puppet to create a platform to provide enterprise-grade infrastructure configuration.
Table of Contents (22 chapters)
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1
Part 1 – Introduction to Puppet and the Basics of the Puppet Language
7
Part 2 – Structuring, Ordering, and Managing Data in the Puppet Language
12
Part 3 – The Puppet Platform and Bolt Orchestration
17
Part 4 – Puppet Enterprise and Approaches to the Adoption of Puppet

How to deploy your Puppet lab and development tools

This section will run through how to install and configure your desktop environment and then use that environment to stand up the Puppet infrastructure in Azure, configure it with a control repo, deploy some modules to an environment, and test logins to the web console. This will confirm the lab environment functions as expected and should give you the confidence to start up and shut down the labs as required to avoid paying for unecessary virtual machine running time costs on Azure.

In Figure 2.1, the final result of this exercise is shown. The device you use as a development environment will have Visual Studio Code installed to edit the code that has been cloned from GitHub. A PowerShell or shell session, depending on the OS, will use Bolt with Terraform to stand up the infrastructure in Azure and then apply the configuration to that infrastructure, configuring a Puppet Enterprise server and an attached instance to that server...

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