Getting Started

Projects in Ansible Container are identified by their path in the filesystem. The project path contains all of the source and files for use inside of your project, as well as the Ansible Container build and orchestration instructions.

Conductor Container

The heavy lifting of Ansible Container happens within a special container, generated during the build process, called the Conductor.

It contains everything you need to build your target container images, including Ansible Core itself. Since Ansible requires a Python runtime on the hosts it is configuring, and so that you don’t need to install Python on those target container images you are building, the Python runtime and all library dependencies are mounted from the Conductor container into the target containers during builds.

Because of this, the Conductor container is built upon a base image of your choice, and it’s recommended that you select the same flavor of Linux distribution that your target containers will be built from. For example, if you’re building container images based on Alpine Linux, it’s a good idea to use Alpine Linux as your Conductor container base image as well, so that what the Conductor exports to your target containers contains apk and other binary dependencies you will like need.

Dipping a Toe In - Starting from Scratch

Ansible Container provides a convenient way to start your app by simply running ansible-container init from within your project directory, which creates:


Other ansible-container subcommands enable the container development workflow:

  • ansible-container build initiates the build process. It builds and launches the Conductor Container. The Conductor then runs instances of your base container images as specified in container.yml. The Conductor container applies Ansible roles against them, committing each role as new image layers. Ansible communicates with the other containers through the container engine, not through SSH.
  • ansible-container run orchestrates containers from your built images together as described by the container.yml file. The container.yml can specify overrides to make development faster without having to rebuild images for every code change.
  • ansible-container deploy uploads your built images to a container registry of your choice and generates an Ansible playbook to orchestrate containers from your built images in production container platforms, like Kubernetes or Red Hat OpenShift.

So what goes into the files that make this work?


The container.yml file is a file in YAML-syntax that describes the services in your project, how to build and run them, the repositories to push them to, and more.

The container.yml file is very similar to the Docker Compose version 2 schema. Much like Docker Compose, this file describes the orchestration of your app. Ansible Container uses this file to determine what images to build, what containers to run and connect, and what images to push to your repository. Additionally, when Ansible Container generates an Ansible playbook to ship and orchestrate your images in the cloud, this file describes the configuration target for your entire container infrastructure. It is automatically run, but it also saves the playbook for you to examine or reuse.

By way of an example, consider the below container.yml file:

version: "2"
    from: "ubuntu:trusty"
      - "80:80"
    command: ["/usr/bin/dumb-init", "/usr/sbin/apache2ctl", "-D", "FOREGROUND"]
        - "DEBUG=1"

Things to note:

  1. In this example the schema is set to version 2. (Version 2 support was add in version 0.3.0.)
  2. Each of the containers you wish to orchestrate should be under the services key.
  3. For supported service keys, see Ansible Container Compose Specification.
  4. The image you specify should be the base image that your containers will start from. Ansible Container will use your playbook to build upon this base image.
  5. You may optionally specify a dev_overrides section. During build and in generating the Ansible roles to deploy your app to the cloud, this section will be ignored. However, when running your containers locally for your development environment, you may use this section to override settings from your production configuration. For instance, a Javascript developer may wish to use Gulp and BrowserSync to dynamically rebuild assets while development is taking place, versus rebuilding the entire container for every code change. Thus that developer may wish to include dev_overrides that run a BrowserSync server for those assets, whereas in production Gulp would build those assets and exit.


You can share your project on Ansible Galaxy for others to use as a template for building projects of their own. Provide the requested information in meta.yml, and then log into Galaxy to import it into the Ansible Container project template registry.


Running Ansible inside of the Conductor container may have Python library dependencies that your modules require. Use the ansible-requirements.txt file to specify those dependencies. This file follows the standard pip format for Python dependencies. When your Conductor container image is created, these dependencies are installed.


If the roles in your container.yml file are in Ansible Galaxy or a remote SCM repository, and your project depends upon them, add them to requirements.yml. For more information about requirements.yml see Installing Roles From a File.


Set Ansible configuration settings within the build container. For more information see Configuration File.

Real World Usage - Starting from a Working Base Setup

Most of the time, when you’re starting a new project, you’re probably using a fairly standard set of components that all link together to form a working system. For example, if you’re starting a new Wordpress app, you will likely want a container for Apache, one for MySQL/MariaDB, one for Memcache, and one for Wordpress itself. Ansible Container enables you to bootstrap a new project based on such templates, hosted on Ansible Galaxy.

Let’s look at a working example. A basic Django application might have the Django application server, a static files server, a PostgreSQL database, and static assets compiled from sources using Gulp and Node.js. To pull the template from Ansible Galaxy and bootstrap a new project based on it, run:

ansible-container init ansible.django-template

From here, you can even build and run this project, even though it doesn’t do a whole lot.

ansible-container build
ansible-container run

To take a deeper dive into what the project template offers, it requires looking into the container.yml file, where we find the application orchestration and build instructions.


As explained above, the container.yml file, like a Docker Compose file, describes the orchestration of the containers in your app for both development and production environments. In this app, we have Django application server, a PostgreSQL database server, and an nginx web server.

This container.yml file has an additional top-level key called defaults, mapping variables to some sane default values:

  POSTGRES_DB: django

These variables can be substituted into the services and registries sections of the file using Jinja2 syntax, just like Ansible Core, abstracting out runtime constants for easy tweaking. They can also be overridden at run-time with environment variables or by passing an variables files, just like Ansible Core.

The Django service runs with the self-reloading development server for the development environment while running with the Gunicorn WSGI server for production:

  from: centos:7
    - django-gunicorn
    DATABASE_URL: "pgsql://{{ POSTGRES_USER }}:{{ POSTGRES_PASSWORD [email protected]:5432/{{ POSTGRES_DB }}"
  - postgres
  - postgres:postgresql
  - '{{ DJANGO_PORT }}'
  working_dir: '{{ DJANGO_ROOT }}'
  user: '{{ DJANGO_USER }}'
  command: ['{{ DJANGO_VENV }}/bin/gunicorn', '-w', '2', '-b', '{{ DJANGO_PORT }}', 'project.wsgi:application']
  entrypoint: ['/usr/bin/dumb-init', '/usr/bin/']
    - "static:/static"
    command: ['{{ DJANGO_VENV }}/bin/python', '', 'runserver', '{{ DJANGO_PORT }}']
    - '/Users/jginsberg/Development/ansible/ansible-container-template/django-template:{{ DJANGO_ROOT }}'
    - "static:/static"
    expose: "{{ DJANGO_PORT }}"
      DEBUG: "1"

This container image uses Centos 7 as its base. For 12-factor compliance, the Django container sets the database server connection string in an environment variable. In development, the app’s source is exported into the container as a volume so that changes to the code can be detected and instantly integrated into the development container, however in production, the full Django project’s code is part of the container’s filesystem. Note that in both development and production, Yelp’s dumb-init is used for PID 1 management, which is an excellent practice.

As such, Nginx server runs in production but does not in development orchestration.

  from: centos:7
    - nginx
  - '{{ DJANGO_PORT }}:8000'
  user: nginx
  - django
  command: ['/usr/bin/dumb-init', 'nginx', '-c', '/etc/nginx/nginx.conf']
    - "static:/static"
    ports: []
    command: /bin/false
    volumes: []

In development, Gulp’s webserver listens on port 80 and proxies requests to Django, whereas in production we want Nginx to have that functionality.


The Django and Nginx server share a named volume, so that static assets collected from Django can be served by Nginx. Versus the Docker-engine-specific volumes_from directive, this approach is far more cross-platform.

Finally, we set up a PostgreSQL database server using a stock image from Docker Hub:

  from: postgres:9.6

You can use distribution base images like CentOS, Ubuntu, or Fedora for the build process to customize, or you can use pre-built base images from a container registry like Docker Hub without modification.

Bundled with the project are roles for the Django and Nginx services. In your project, you can edit these roles to modify the functionality of the ones provided as well as create additional roles, even common ones between the two. For each service, Ansible Container will create a new image layer for each role.

So add additional Django apps, write your own, and develop your project. When you’re ready, check out the options provided to deploy your app into one of the supported production container platforms.