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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

Keeping data secure

One of the key elements of managing data is ensuring that secret data is kept secure, and this can be challenging with Puppet when this data must be stored, transferred across the infrastructure to the client, and used within Puppet code to set the state. In this section, we will discuss the methods available to secure data, what levels data can be secured at, and the limitations of the methods used at each level.

The most common first step is to secure data in storage. This can be achieved using hiera-eyaml, a custom Hiera backend available at https://github.com/voxpupuli/hiera-eyaml. This module creates pkcs7 keys, which are then used to encrypt and decrypt data. Having followed the instructions in the module to create and distribute keys, a hierarchy can be created, such as the following:

hierarchy:
  - name: "Hiera data in yaml and eyaml files committed to the control-repo"
    lookup_key: eyaml_lookup_key
 ...

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