项目作者: hashicorp

项目描述 :
Packer plugin for Puppet Provisioners
高级语言: Go
项目地址: git://github.com/hashicorp/packer-plugin-puppet.git
创建时间: 2021-04-14T20:42:50Z
项目社区:https://github.com/hashicorp/packer-plugin-puppet

开源协议:Mozilla Public License 2.0

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Packer Plugin Puppet

The Puppet multi-component plugin can be used with HashiCorp Packer
to create custom images. For the full list of available features for this plugin see docs.

Installation

Using pre-built releases

Using the packer init command

Starting from version 1.7, Packer supports a new packer init command allowing
automatic installation of Packer plugins. Read the
Packer documentation for more information.

To install this plugin, copy and paste this code into your Packer configuration .
Then, run packer init.

  1. packer {
  2. required_plugins {
  3. puppet = {
  4. version = ">= 1.0.0"
  5. source = "github.com/hashicorp/puppet"
  6. }
  7. }
  8. }

Manual installation

You can find pre-built binary releases of the plugin here.
Once you have downloaded the latest archive corresponding to your target OS,
uncompress it to retrieve the plugin binary file corresponding to your platform.
To install the plugin, please follow the Packer documentation on
installing a plugin.

From Sources

If you prefer to build the plugin from sources, clone the GitHub repository
locally and run the command go build from the root
directory. Upon successful compilation, a packer-plugin-puppet plugin
binary file can be found in the root directory.
To install the compiled plugin, please follow the official Packer documentation
on installing a plugin.

Configuration

For more information on how to configure the plugin, please read the
documentation located in the docs/ directory.

Contributing

  • If you think you’ve found a bug in the code or you have a question regarding
    the usage of this software, please reach out to us by opening an issue in
    this GitHub repository.
  • Contributions to this project are welcome: if you want to add a feature or a
    fix a bug, please do so by opening a Pull Request in this GitHub repository.
    In case of feature contribution, we kindly ask you to open an issue to
    discuss it beforehand.