mirror of
https://github.com/jpetazzo/container.training.git
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🏭️ Big refactoring of December 2025
The structure of each deck should now be: - title slide - logistics (for live classes) - chat room info (for live classes) - shared/about-slides - */prereqs* (when relevant; mostly k8s classes) - shared/handson - */labs-live (for live classes) - shared/connecting (for live classes) - */labs-async - toc This is more uniform across the different courses (live and async; containers and K8S).
This commit is contained in:
Jérôme Petazzoni
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class: title
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# Our training environment
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---
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## Our training environment
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- If you are attending a tutorial or workshop:
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- 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][docker-desktop] or [Podman Desktop][podman-desktop]
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<br/>(available for Linux, Mac, Windows; provides a nice GUI)
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- install [Docker CE][docker-ce] or [Podman][podman]
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<br/>(for intermediate/advanced users who prefer the CLI)
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- try platforms like [Play With Docker][pwd] or [KodeKloud]
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<br/>(if you can't/won't install anything locally)
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[docker-desktop]: https://docs.docker.com/desktop/
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[podman-desktop]: https://podman-desktop.io/downloads
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[docker-ce]: https://docs.docker.com/engine/install/
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[podman]: https://podman.io/docs/installation#installing-on-linux
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[pwd]: https://labs.play-with-docker.com/
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[KodeKloud]: https://kodekloud.com/free-labs/docker/
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---
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## Our Docker VM
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*This section assumes that you are following this course as part of
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a tutorial, training or workshop, where each student is given an
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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.
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---
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## What *is* 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).
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- This daemon 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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---
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class: pic
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---
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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.
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(Initially, we provided VMs to make sure that nobody would waste time
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with installers, or because they didn't have the right permissions
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on their machine, etc.)
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---
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## Connecting to your Virtual Machine
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You need an SSH client.
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* On OS X, Linux, and other UNIX systems, just use `ssh`:
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```bash
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$ ssh <login>@<ip-address>
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```
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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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---
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class: in-person
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## `tailhist`
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The shell history of the instructor is available online in real time.
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Note the IP address of the instructor's virtual machine (A.B.C.D).
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Open http://A.B.C.D:1088 in your browser and you should see the history.
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The history is updated in real time (using a WebSocket connection).
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It should be green when the WebSocket is connected.
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If it turns red, reloading the page should fix it.
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---
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## Checking your Virtual Machine
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Once logged in, make sure that you can run a basic Docker command:
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.small[
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```bash
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$ docker version
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Client:
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Version: 18.03.0-ce
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API version: 1.37
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Go version: go1.9.4
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Git commit: 0520e24
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Built: Wed Mar 21 23:10:06 2018
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OS/Arch: linux/amd64
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Experimental: false
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Orchestrator: swarm
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Server:
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Engine:
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Version: 18.03.0-ce
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API version: 1.37 (minimum version 1.12)
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Go version: go1.9.4
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Git commit: 0520e24
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Built: Wed Mar 21 23:08:35 2018
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OS/Arch: linux/amd64
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Experimental: false
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```
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]
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If this doesn't work, raise your hand so that an instructor can assist you!
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???
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:EN:Container concepts
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:FR:Premier contact avec les conteneurs
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:EN:- What's a container engine?
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:FR:- Qu'est-ce qu'un *container engine* ?
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@@ -1,39 +0,0 @@
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## A brief introduction
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- This was initially written to support in-person, instructor-led workshops and tutorials
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- These materials are maintained by [Jérôme Petazzoni](https://twitter.com/jpetazzo) and [multiple contributors](https://@@GITREPO@@/graphs/contributors)
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- You can also follow along on your own, at your own pace
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- We included as much information as possible in these slides
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- We recommend having a mentor to help you ...
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- ... Or be comfortable spending some time reading the Docker
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[documentation](https://docs.docker.com/) ...
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- ... And looking for answers in the [Docker forums](https://forums.docker.com),
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[StackOverflow](http://stackoverflow.com/questions/tagged/docker),
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and other outlets
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---
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class: self-paced
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## Hands on, you shall practice
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- Nobody ever became a Jedi by spending their lives reading Wookiepedia
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- Likewise, it will take more than merely *reading* these slides
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to make you an expert
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- These slides include *tons* of demos, exercises, and examples
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- They assume that you have access to a machine running Docker
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- If you are attending a workshop or tutorial:
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<br/>you will be given specific instructions to access a cloud VM
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- If you are doing this on your own:
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<br/>we will tell you how to install Docker or access a Docker environment
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@@ -0,0 +1,19 @@
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## Running your own lab environments
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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][docker-desktop] or [Podman Desktop][podman-desktop]
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<br/>(available for Linux, Mac, Windows; provides a nice GUI)
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- install [Docker CE][docker-ce] or [Podman][podman]
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<br/>(for intermediate/advanced users who prefer the CLI)
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- try platforms like [Play With Docker][pwd] or [KodeKloud]
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<br/>(if you can't/won't install anything locally)
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[docker-desktop]: https://docs.docker.com/desktop/
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[podman-desktop]: https://podman-desktop.io/downloads
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[docker-ce]: https://docs.docker.com/engine/install/
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[podman]: https://podman.io/docs/installation#installing-on-linux
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[pwd]: https://labs.play-with-docker.com/
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[KodeKloud]: https://kodekloud.com/free-labs/docker/
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@@ -0,0 +1,43 @@
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class: title
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# Our training environment
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---
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## Our training environment
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- If you are attending a live class, a VM has been provisioned for you!
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- Each student gets an individual VM.
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- The VM is created just before the training.
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||||
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||||
- It will stay up during the whole training.
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||||
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- It will be destroyed shortly after the training.
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||||
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||||
- It comes pre-loaded with Docker and some other useful tools.
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||||
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||||
---
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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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||||
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- The remote VMs have good connectivity and downloads will be fast there.
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||||
|
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(Initially, we provided VMs to make sure that nobody would waste time
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||||
with installers, or because they didn't have the right permissions
|
||||
on their machine, etc.)
|
||||
Reference in New Issue
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