Mastering Ansible

This course is designed to move students beyond Ansible Essentials, and joins Ansible with other DevOps skill sets, including: Python scripting, utilizing Ansible Galaxy, running automated solutions...

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Course Code ALTA3-MA
Duration 4 days
Available Formats Classroom
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This course is designed to move students beyond Ansible Essentials, and joins Ansible with other DevOps skill sets, including: Python scripting, utilizing Ansible Galaxy, running automated solutions with Jenkins, syncing code with Git and GitHub, continuous integration, debugging / linting, and much more! The lessons are built around current concepts observed within enterprises using Ansible.

  • Class is a combination of lecture by demonstration, coding along with the instructor, and hands-on labs. Students are invited to help customize this course by bringing their own projects, solutions, and ideas to ensure class subjects remain as relevant as possible.

Who Can Benefit

  • DevOps Engineers
  • System and Cloud Administrators
  • Network Engineers and Developers
  • Python Developers

Prerequisites

  • Coding experience in another language serves as an adequate prerequisite
  • Ansible Essentials

Course Details

Follow-on Courses

  • Jenkins Automation Server Essentials
  • API and API Design with Python
  • Git and GitHub
  • Git and GitLab

Day 1 (Up and Running with Ansible for DevOps)

Introduction to Environment

  • Running with GitHub
  • Syncing Git and GitHub
  • Cloning repos
  • Commits
  • Push and Pull operations
  • Master and Branches
  • Documenting work
  • Moving HEAD
  • GitHub Desktop for GUIs

Ansible and Jenkins

  • Syncing GitHub Playbooks to Jenkins
  • Running Playbooks with Jenkins
  • Building Jenkins Jobs
  • Jenkins and Plugins to know

Roles and Galaxy

  • Building an Ansible Role
  • Role Testing with Molecule
  • Using a Role within a Playbook (review)
  • Pushing Role to GitHub

Day 2 (Advanced Ansible)

Advanced Ansible

  • Blocks & Rollback
  • Asynchronous Actions and Polling
  • Check Mode (“Dry Run”)
  • Playbook Debugger
  • Delegation, Rolling Updates, and Local Actions
  • Setting the Environment (and Working With Proxies)
  • Working With Language-Specific Version Managers
  • Error Handling In Playbooks
  • Advanced Syntax
  • Working With Plugins
  • Prompts
  • Tags
  • Using Vault in playbooks
  • Start and Step
  • Playbook Keywords
  • Lookups
  • Module defaults

Day 3 (Programming Ansible with Python)

Critical Python Catchup & Review (moving target -- depends on students previous knowledge)

  • Overview of Python and Ansible
  • Conditional expressions
  • Relational and Boolean operators
  • Lists, Tuples, Dictionaries
  • Indexing and slicing
  • Built-in functions
  • Writing custom functions
  • Getting at methods
  • Iterating with Loops (for and while)
  • Working with files
  • Getting at RESTful interfaces with Python
  • Working with JSON
  • Python, Ansible and Paramiko
  • Using Paramiko to SSH with keys and passwords
  • Python and Jinja templating

Python in Playbooks

  • Using methods within playbooks
  • Python methods vs Jinja2 filters
  • Calling Scripts with Ansible
  • Writing Python Scripts for Customer Environment
  • Returning JSON when our script finishes
  • Ansible callback plugins - returning data other than JSON

Day 4 (Advanced Playbook Design)

Extending the Ansible Library

  • Extending Ansible to support
  • Galaxy for new Ansible modules
  • GitHub for new Ansible modules

Creating Ansible Modules

  • Writing a Python Script
  • Adopting a Python Script to function as a Ansible Module
  • Pushing our new module to GitHub
  • Documenting our new module
  • Classes of Ansible Modules available

Ansible and for Enterprise

  • Hiding credentials
  • Using Ansible Vault
  • Collaborating on Playbooks
  • Options for logging results
  • Options for running Ansible Jobs in an Enterprise
  • Jenkins
  • Ansible Tower
  • Logging Results
  • Rolling Back bad jobs & other jobs
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