Book Image

OpenStack Administration with Ansible 2 - Second Edition

Book Image

OpenStack Administration with Ansible 2 - Second Edition

Overview of this book

Most organizations are seeking methods to improve business agility because they have realized just having a cloud is not enough. Being able to improve application deployments, reduce infrastructure downtime, and eliminate daily manual tasks can only be accomplished through some sort of automation. We start with a brief overview of OpenStack and Ansible 2 and highlight some best practices. Each chapter will provide an introduction to handling various Cloud Operator administration tasks such as managing containers within your cloud; setting up/utilizing open source packages for monitoring; creating multiple users/tenants; taking instance snapshots; and customizing your cloud to run multiple active regions. Each chapter will also supply a step-by-step tutorial on how to automate these tasks with Ansible 2. Packed with real-world OpenStack administrative tasks, this book will walk you through working examples and explain how these tasks can be automated using one of the most popular open source automation tools on the market today.
Table of Contents (17 chapters)
OpenStack Administration with Ansible 2 Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Reviewing playbooks and roles


Let's jump right into examining the master playbook that we created earlier to deploy Docker containers on CoreOS called ansible-coreos. The completed playbook and file, named base.yml, located in the root of the ansible-coreos directory, looks like this:

--- 
# This playbook deploys the ELK stack on CoreOS 
 
- name: Bootstrap CoreOS 
 hosts: coreos 
 gather_facts: False 
 roles: 
    - defunctzombie.coreos-bootstrap 
 
- name: Deploy ELK Stack 
 hosts: coreos 
 remote_user: core 
 become: false 
 tasks: 
    - name: Start etcd 
       service: name=etcd.service state=started 
       become: true 
 
    - name: Install docker-py 
       shell: /home/core/bin/pip install docker-py==1.9.0 docker-compose==1.8.0 
 
    - name: Pull Elasticsearch container 
       docker_image: name=elasticsearch 
 
    - name: Pull Kibana container 
     ...