Sam Kerr bcd30ad2f2 Update puppet-masterless commands to be OS specific
Previous implementation hardcoded "mkdir -p" which is fine for Unix, but
fails on Windows. This change draws on the example in the chef-solo
provisioner on how to detect the OS in use and use an appropriate mkdir
command.

In addition to updating the mkdir command, the actual executeCommand
needs to be OS specific, since Windows doesn't have sudo and Unix
doesn't require 'SET' when trying to change the value of a variable.

Modify the actual Windows command used to run Puppet.

Since the Facter vars on Windows are set with 'SET <varname>=<value>', a
'&&' is needed between the SET commands and the actual Puppet
invocation.
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Packer

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Packer is a tool for building identical machine images for multiple platforms from a single source configuration.

Packer is lightweight, runs on every major operating system, and is highly performant, creating machine images for multiple platforms in parallel. Packer comes out of the box with support for the following platforms:

  • Amazon EC2 (AMI). Both EBS-backed and instance-store AMIs
  • Azure
  • CloudStack
  • DigitalOcean
  • Docker
  • Google Compute Engine
  • Hyper-V
  • 1&1
  • OpenStack
  • Parallels
  • ProfitBricks
  • QEMU. Both KVM and Xen images.
  • Triton (Joyent Public Cloud)
  • VMware
  • VirtualBox

Support for other platforms can be added via plugins.

The images that Packer creates can easily be turned into Vagrant boxes.

Quick Start

Download and install packages and dependencies

go get github.com/hashicorp/packer

Note: There is a great introduction and getting started guide for those with a bit more patience. Otherwise, the quick start below will get you up and running quickly, at the sacrifice of not explaining some key points.

First, download a pre-built Packer binary for your operating system or compile Packer yourself.

After Packer is installed, create your first template, which tells Packer what platforms to build images for and how you want to build them. In our case, we'll create a simple AMI that has Redis pre-installed. Save this file as quick-start.json. Export your AWS credentials as the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables.

{
  "variables": {
    "access_key": "{{env `AWS_ACCESS_KEY_ID`}}",
    "secret_key": "{{env `AWS_SECRET_ACCESS_KEY`}}"
  },
  "builders": [{
    "type": "amazon-ebs",
    "access_key": "{{user `access_key`}}",
    "secret_key": "{{user `secret_key`}}",
    "region": "us-east-1",
    "source_ami": "ami-af22d9b9",
    "instance_type": "t2.micro",
    "ssh_username": "ubuntu",
    "ami_name": "packer-example {{timestamp}}"
  }]
}

Next, tell Packer to build the image:

$ packer build quick-start.json
...

Packer will build an AMI according to the "quick-start" template. The AMI will be available in your AWS account. To delete the AMI, you must manually delete it using the AWS console. Packer builds your images, it does not manage their lifecycle. Where they go, how they're run, etc. is up to you.

Documentation

Comprehensive documentation is viewable on the Packer website:

https://www.packer.io/docs

Developing Packer

See CONTRIBUTING.md for best practices and instructions on setting up your development environment to work on Packer.

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