92.1 Docker

2018-05-04 Docker is a great platform for running virtual machine type environments. The following instructions are based on the instructions at https://docs.docker.com/engine/installation/linux/docker-ce/ubuntu/ to install the docker community edition.

  $ wajig update
  $ wajig distupgrade
  $ wajig remove docker docker-engine docker.io
  $ wajig install apt-transport-https ca-certificates \
                  curl software-properties-common
  $ curl -fsSL https://download.docker.com/linux/ubuntu/gpg \
    | sudo apt-key add -
  $ sudo apt-key fingerprint 0EBFCD88
  9DC8 5822 9FC7 DD38 854A E2D8 8D81 803C 0EBF CD88
  $ sudo add-apt-repository "deb [arch=amd64] \
    https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
  $ wajig update
  $ wajig install docker-ce
  $ sudo usermod -aG docker ${USER}
  $ su - ${USER}

  $ docker run hello-world
  Unable to find image 'hello-world:latest' locally
  latest: Pulling from library/hello-world
  9bb5a5d4561a: Pull complete 
  Digest: sha256:f5233545e4356....ed8e237750d59bde73361e77
  Status: Downloaded newer image for hello-world:latest

  Hello from Docker!
  This message shows that your installation appears to be working correctly.

  To generate this message, Docker took the following steps:
   1. The Docker client contacted the Docker daemon.
   2. The Docker daemon pulled the "hello-world" image from the Docker Hub.
      (amd64)
   3. The Docker daemon created a new container from that image which runs
      the executable that produces the output you are currently reading.
   4. The Docker daemon streamed that output to the Docker client, which
      sent it to your terminal.

  To try something more ambitious, you can run an Ubuntu container with:
   $ docker run -it ubuntu bash

  Share images, automate workflows, and more with a free Docker ID:
   https://hub.docker.com/

  For more examples and ideas, visit:
   https://docs.docker.com/engine/userguide/


Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0