Public | Automated Build

Last pushed: 2 years ago
Short Description
Tools for managing AWS instances for Docker workshops.
Full Description

Trainer tools for Docker workshops

This repo should be added as a submodule in the repo of the Docker workshop:

$ git submodule add

Then, update the settings.yaml as needed.

Summary of steps to launch a batch of instances for a workshop:

  • Export the environment variables needed by the AWS CLI (see Requirements below)
  • trainer start NUMBER_OF_VMS to create AWS instances
  • trainer deploy TAG to run scripts/postprep.rc via parallel-ssh
  • trainer pull-images TAG to pre-pull a bunch of Docker images
  • trainer cards TAG to generate an HTML file you can print to PDF

The trainer script can be executed directly.

It will check for the necessary environment variables. Then, if all its dependencies are installed
locally, it will execute trainer-cli. If not, it will look for a local Docker image
tagged soulshake/trainer-tools. If found, it will run in a container. If not found,
the user will be prompted to either install the missing dependencies or download
the Docker image.


Required environment variables:



Tip: You can create a symlink in your path for this script:

ln -s ./trainer $HOME/bin/trainer

Start some VMs

$ trainer start 10

A few things will happen:

Sync of SSH keys

When the start command is run, your local RSA SSH public key will be added to your AWS EC2 keychain.

To see which local key will be uploaded, run ssh-add -l | grep RSA.

Instance + tag creation

10 VMs will be started, with an automatically generated tag (timestamp + your username).

Your SSH key will be added to the authorized_keys of the ubuntu user.

Creation of ./$TAG/ directory and contents

Following the creation of the VMs, a text file will be created containing a list of their IPs.

This ips.txt file will be created in the $TAG/ directory and a symlink will be placed in the working directory of the script.

If you create new VMs, the symlinked file will be overwritten.


Instances can be deployed manually using the deploy command:

$ trainer deploy TAG

The postprep.rc file will be copied via parallel-ssh to all of the VMs and executed.

Pre-pull images

$ trainer pull-images TAG

Generate cards

$ trainer cards TAG

List tags

$ ./trainer list

List VMs

$ ./trainer list TAG

This will print a human-friendly list containing some information about each instance.

Stop and destroy VMs

$ trainer stop TAG
Docker Pull Command
Source Repository