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Our training environment
Our training environment
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If you are attending a tutorial or workshop:
- a VM has been provisioned for each student
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If you are doing or re-doing this course on your own, you can:
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install Docker Desktop or Podman Desktop
(available for Linux, Mac, Windows; provides a nice GUI) -
install Docker CE or Podman
(for intermediate/advanced users who prefer the CLI) -
try platforms like Play With Docker or KodeKloud
(if you can't/won't install anything locally)
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Our Docker VM
This section assumes that you are following this course as part of a tutorial, training or workshop, where each student is given an individual Docker VM.
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The VM is created just before the training.
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It will stay up during the whole training.
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It will be destroyed shortly after the training.
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It comes pre-loaded with Docker and some other useful tools.
Connecting to your Virtual Machine
You need an SSH client.
- On OS X, Linux, and other UNIX systems, just use
ssh:
$ ssh <login>@<ip-address>
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On Windows, if you don't have an SSH client, you can download:
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Putty (www.putty.org)
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Git BASH (https://git-for-windows.github.io/)
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MobaXterm (https://mobaxterm.mobatek.net/)
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Checking your Virtual Machine
Once logged in, make sure that you can run a basic Docker command:
.small[
$ docker version
Client:
Version: 18.03.0-ce
API version: 1.37
Go version: go1.9.4
Git commit: 0520e24
Built: Wed Mar 21 23:10:06 2018
OS/Arch: linux/amd64
Experimental: false
Orchestrator: swarm
Server:
Engine:
Version: 18.03.0-ce
API version: 1.37 (minimum version 1.12)
Go version: go1.9.4
Git commit: 0520e24
Built: Wed Mar 21 23:08:35 2018
OS/Arch: linux/amd64
Experimental: false
]
If this doesn't work, raise your hand so that an instructor can assist you!
Installing Docker
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"Installing Docker" really means "Installing the Docker Engine and CLI".
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The Docker Engine is a daemon (a service running in the background) —— it manages containers, the same way that a hypervisor manages VMs.
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We interact with the Docker Engine by using the Docker CLI.
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The Docker CLI and the Docker Engine communicate through an API.
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There are many other programs and client libraries which use that API.
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Can we run Docker locally?
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If you already have Docker (or Podman) installed, you can use it!
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The VMs can be convenient if:
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you can't/won't install Docker or Podman on your machine,
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your local internet connection is slow.
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We're going to download many container images and distribution packages.
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If the class takes place in a venue with slow WiFi, this can slow us down.
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The remote VMs have good connectivity and downloads will be fast there.
(Initially, we provided VMs to make sure that nobody would waste time with installers, or because they didn't have the right permissions on their machine, etc.)