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Automating Container Management with Ansible

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Red Hat

51:27

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  • automating-container-management-ansible.zip
  • 1. Overview.mp4
    01:04
  • 2. Lab Setup.mp4
    00:49
  • 3. Overview of Containers.mp4
    10:02
  • 4. Overview of Ansible Automation.mp4
    05:26
  • 1. Architecture of a Docker Implementation.mp4
    02:15
  • 2. Installing Docker with Ansible.mp4
    09:53
  • 1. Writing Dockerfiles.mp4
    04:42
  • 2. Creating Container Images with Ansible.mp4
    05:16
  • 1. Managing the Container Life Cycle.mp4
    03:44
  • 2. Automating Docker Compose.mp4
    08:16
  • Description


    Learn how to automate container operations on Linux, using Ansible and Docker, in order to quickly develop and deploy updated containers.

    What You'll Learn?


      Learn how to automate container operations on Linux, using Ansible and Docker, in order to quickly develop and deploy updated containers. In this course you will learn what containers are and why they’re beneficial. You will also learn how to install Docker and perform some of the basic actions like managing containers, images, and services. This course also covers the Ansible modules used to automate the container lifecycle and Docker compose.

    More details


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    Red Hat Training programs provide proven, flexible support to build the right technical talent from within. Whether you’re updating your expertise or learning new skills, this is where it all begins.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 10
    • duration 51:27
    • level average
    • English subtitles has
    • Release Date 2023/05/17