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Mastering Ansible - From Beginner to Expert in Ansible

 

Mastering Ansible - From Beginner to Expert in Ansible

GETTING STARTED

Mastering Ansible - From Beginner to Expert in Ansible This professional video course on Ansible guides the user through a multitude of topics in order to understand and professionally master Ansible. It aims to help you master Ansible while tackling and learning multiple topics. It starts with Ansible's architecture and how to provide effective scalable automation. Bestseller

What you'll learn

  • Learn to install and configure Ansible.
  • Understand more about Ansible Modules, the structure of Ansible Playbooks, the creation and execution of Ansible playbooks, Ansible Facts, and Jinja2 Templating.
  • Ansible Playbook advanced topics: using built in modules, dynamic inventories, parallel looping, conditional execution, task delegation, magic variables, registering results, Ansible Vault, creating modules, and creating plugins.
  • Structuring Ansible playbooks: includes, roles, tags.
  • Use Ansible with cloud services and containers, AWS, and Docker.
  • Troubleshooting with Ansible
  • Using Ansible for validation and testing (and best practices).

Description

Ansible is a radically simple IT automation engine that automates cloud provisioning, configuration management, application deployment, intra-service orchestration, and many other IT needs. Designed for multi-tier deployments since day one, Ansible models your IT infrastructure by describing how all of your systems inter-relate, rather than just managing one system at a time.

This professional video course on Ansible guides the user through a multitude of topics in order to understand and professionally master Ansible. It aims to help you master Ansible while tackling and learning multiple topics. It starts with Ansible's architecture and how to provide effective scalable automation. Then we move on to installing and configuring it with various platforms. Further, we look into Ansible modules and playbooks with YAML syntax and execute it. Next you will get to know about advanced Ansible playbooks, and even structure them. You will learn to use Ansible with cloud services and containers and provision it with AWS and Docker. Finally, you will master troubleshooting, validating, and testing with Ansible.

July/August 2020 Update:

Greetings to all of my past, present and future students, I hope you're all well especially given the global circumstances.  In the last week the course has been transferred from Packt to myself as the Author and I'll be personally addressing Q&A, reviews and updates going forward. 

I've updated section 1 with improvements in the process for setting up the Ansible lab environments used throughout the course.  Correspondingly, there is a new version of the ubuntu-c system that is used as the Ansible control host.  With both Ansible and Open Source software constantly evolving, these updates have been made with a view of providing in the interim, a consistent experience between the course content and the hands-on lab.

I am currently working on a major update to the entire course to reflect the latest version of Ansible and Python.  Please subscribe to my newsletter on the masteringansible course site and connect on LinkedIn to receive instant notifications when these updates become available.

All students will automatically receive the next major update as part of their enrolment.

About the Author :

James Spurin is an IT professional with over 15 years working in a variety of technology fields including internet technologies,  automation, software development, storage, and Unix administration. He  holds an MSc with Distinction in Computer Science, Software Engineering  from Liverpool University.

Professionally he has worked for a variety of major organizations including Dell EMC, Goldman Sachs, Nomura, and Virgin Internet. He is also an advisory board member for StorageOS, a container-based storage  solution. He is an active contributor to open source software and is the  creator and maintainer of XML Dataset, a Python library featured on the  awesome Python list for parsing XML data.

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