Using Docker for DevOps: Configuring Docker for Continuous Delivery

Docker 19.03.1    |    Intermediate
  • 11 videos | 50m 39s
  • Includes Assessment
  • Earns a Badge
Likes 58 Likes 58
Explore Docker storage drivers, and how images and containers are stored and managed on a Docker host in this 11-video course, in which learners examine the differences between virtual machines (VMs), containers, and images, and explore Docker's reference architecture for continuous delivery. You will learn how to manage data volume using the Docker CLI (command-line interface); and how to classify VMs, containers, and images, as well as recall the benefits of customized images in DevOps. You will learn to use the Docker Compose tool to run multicontainer Docker applications. Since a container's capabilities depends on the host operating system, you will learn to specify the features of networking containers, and the defaulting networking providers for Docker. Learners work with Docker CLI to create and manage networks, and then learn how to install, configure, and build a project by using Docker Assemble. This course demonstrates how to set up a Docker Cluster by using Swarm for cluster-management and orchestration features. Finally, learners will explore a list of Docker's DevOps continuous delivery reference architectures.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    recognize the features of various storage drivers provided by Docker
    demonstrate how to manage data volumes using Docker the command line interface
    classify virtual machines, containers, and images and recall the benefits of customizing images in DevOps
    use the Compose tool to run multi-container Docker applications
    describe the essential features of networking containers and list the default networks provided for Docker
  • use and work with Docker CLI commands to create and manage networks in Docker
    install, configure, and build projects using Docker Assemble
    set up Docker clusters using Swarm
    list the prominent DevOps and continuous delivery reference architectures for Docker
    describe the differences between virtual machines, containers, and images, manage data volumes, and create a network in Docker using Docker command line

IN THIS COURSE

  • 1m 28s
  • 6m 24s
    Upon completion of this video, you will be able to recognize the features of various storage drivers provided by Docker. FREE ACCESS
  • Locked
    3.  Managing Data Volume
    4m 14s
    In this video, you will learn how to manage data volumes using the Docker command line interface. FREE ACCESS
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    4.  VMs and Containers
    4m 34s
    In this video, you will learn how to classify virtual machines, containers, and images. You will also learn the benefits of customizing images in DevOps. FREE ACCESS
  • Locked
    5.  Using Compose for Multi-container
    4m 53s
    Learn how to use the Compose tool to run multi-container Docker applications. FREE ACCESS
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    6.  Networking Containers
    8m 28s
    After completing this video, you will be able to describe the essential features of networking containers and list the default networks provided by Docker. FREE ACCESS
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    7.  Managing Networks Using CLI
    3m 58s
    In this video, find out how to use and work with Docker CLI commands to create and manage networks in Docker. FREE ACCESS
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    8.  Docker Assemble
    3m 52s
    In this video, find out how to install, configure, and build projects using Docker Compose. FREE ACCESS
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    9.  Docker Cluster and Swarm
    4m 46s
    In this video, find out how to set up Docker clusters using Swarm mode. FREE ACCESS
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    10.  Docker Reference Architecture
    4m 46s
    After completing this video, you will be able to list the prominent DevOps and continuous delivery reference architectures for Docker. FREE ACCESS
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    11.  Exercise: Docker and Continuous Delivery
    3m 16s
    Upon completion of this video, you will be able to describe the differences between virtual machines, containers, and images, manage data volumes, and create a network in Docker using the Docker command line. FREE ACCESS

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