Evan Brown f2fed94a71 builder/googlecompute: Derive network and subnetwork IDs locally
This change constructs partial URLs for networks and subnetworks if they
are not already partial or full URLs (i.e., they do not contain a '/' in
their name). Network and subnetwork self-links are no longer retrieved
from the API.

Previously, if a user did not provide the network or subnetwork as a
fully-qualified URL (i.e., self-link), the builder would make
compute.(sub)networks.get API calls with the provided identifier to
discover the self-link. This requires the user or service account Packer
is using to have permission to describe those network resources, which
is becoming less common as IAM is used more. Specifically, a user may
have permission to launch a VM into a network/subnetwork, but will not
have permission to call APIs to describe network resources.
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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
  • Oracle Cloud Infrastructure
  • 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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