# Ansible Multi-OS Playbooks

Lately I’ve been tinkering with some of my Ansible roles to improve the support for multiple-environment deployments. Previously, I’d been using a somewhat naive approach of simply including environment-specific task lists using conditionals in tasks/main.yml like so:

- include: ubuntu-install.yml
when: ansible_distribution == "Ubuntu"

- include: centos-install.yml
when: ansible_distribution == "CentOS"


However there are a number of problems with this approach: 1) it requires keeping and maintaining separate task lists for each environment, 2) deployments to different environments are done sequentially rather than in parallel, and 3) it pollutes the output from ansible with lots of skipped tasks for unused environments.

In general, it is better to use environment-specific variables with the same task list for different environments, this reduces the maintenance overhead, allows for parallel deployment, and reduces the size of the output.

Environment-specific variables can be loaded by using “include_vars” and “with_first_found” as in the following preamble:

- include: ubuntu-install.yml
- name: gather os specific variables
include_vars: "{{ item }}"
with_first_found:
- files:
- "{{ ansible_distribution|lower }}-{{
ansible_distribution_version }}.yml"
- "{{ ansible_distribution|lower }}-{{
ansible_distribution_release }}.yml"
- "{{ ansible_distribution|lower }}-{{
ansible_distribution_major_version }}.yml"
- "{{ ansible_distribution|lower }}.yml"
- "{{ ansible_os_family|lower }}.yml"
- defaults.yml
paths:
- ../vars


Note that this allows for graceful fallback to support different environments in the same category; For an Ubuntu Trusty system, Ansible would look in the vars/ subdirectory, and load the first vars file found from the following sequence: “ubuntu-14.04.yml”, “ubuntu-trusty.yml”, “ubuntu-14.yml”, “ubuntu.yml”, and, finally, “debian.yml”.

There is still a problem that different environments may require slightly different build steps. Consider the steps for installing nova compute on different operating systems. On Ubuntu trusty and precise, the steps are basically the same, except that on precise it is necessary to first enable the ubuntu cloud archive. On CentOS, not only are the package names different, but we have to use the yum package manager instead of apt. Also, there are a number of prerequisite packages that need to be in place before even trying to install anything from openstack.

There aren’t always perfect answers for every situation, but if the steps for the different environments can be represented at a reasonable level of abstraction then it may be possible to take advantage of the “action” keyword to come up with a solution. For example, rather than “install apt packages” and “install rpms”, a generic “install packages” step that could be run in parallel on different environments might look like this:

- name: ensure required packages are installed
action: "{{ package_info.pkg_mgr }}"
args: package_info.args
with_items: package_info.pkgs
when: package_info.pkgs|length > 0


The “when” keyword above is critical for steps where some environments may need to install a set of packages, but others won’t. For several of my roles there are steps that look like the above, except there is also a “package_info.pre_pkgs” step to install prerequisites, and it isn’t hard to imagine that for some deployments it might be necessary to have a “package_info.post_pkgs” as well.

I could include more details, but if you’ve gotten this far then you may as well take a look at some of the multi-environment roles that I have on github:

The docker role supports a wide variety of environments, the keystone role only supports Ubuntu trusty and precise (though if someone wanted to submit a pull request I wouldn’t complain), while the ansible-role-nova-compute role supports Ubuntu trusty and CentOS 6.5 (due to a requirement at work). If anyone has any criticisms or suggestions for a better way of doing things, then please feel free to email me or comment below.

##### Mark Stillwell
###### Site Reliability Engineer

Computer Scientist and Site Reliability Engineer, living in London