创建虚拟机／容器镜像的工具－packer

Packer is a tool for creating machine and container images for multiple platforms from a single source configuration. 

Works Great With

Out of the box Packer comes with support to build images for Amazon EC2, CloudStack, DigitalOcean, Docker, Google Compute Engine, Microsoft Azure, QEMU, VirtualBox, VMware, and more. Support for more platforms is on the way, and anyone can add new platforms via plugins.

from https://www.packer.io/
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The images that Packer creates can easily be turned into Vagrant boxes.

Quick Start

Download and install packages and dependencies

go get github.com/mitchellh/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-de0d9eb7",
    "instance_type": "t1.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:
http://www.packer.io/docs

from https://github.com/mitchellh/packer