Skip to content
Français
Account: not signed in, sync available My learning
Select theme
Français

Skill · Cloud · Industrialize the cloud as code: Terraform, Packer, Ansible

Build a hardened machine image with Packer and clean up its build leftovers

Build a hardened machine image for your cloud provider with Packer, and remove the temporary resources the build leaves behind.

Start lesson 1The Cloud domain

The path

Where it comes from, where it leads

What you need to know first, where you stand on this skill, and what it opens next. Your status is computed in your browser, from what you have read and passed.

Before · 1 prerequisite

Depending on the chosen tool, you also need:

Recommended before · 3

This skill, for you

Build a hardened machine image with Packer and clean up its build leftovers

Computing

It unlocks · nothing yet

No other skill requires it: it is an end-of-path skill.

Lessons

How to learn it

This skill is learned with the tool of your choice; your preferences decide the path followed in your journey. Each path lists its lessons in program order.

With Outscale

2 lessons · ~1 h 45

Part 1 · Volet 3, références Infrastructure as Code (in French) 1 lesson · ~45 min

  1. 1Référence Packer sur OUTSCALE (in French)· 45 min

Part 2 · Expérimentations et patterns avancés (in French) 1 lesson · ~1 h 00

  1. 2OMI déclaratives avec NixOS (in French)· 60 min

With Scaleway

1 lesson · ~1 h 00 default

Beyond the lessons

Assess, practise, pass the proof

Reading a lesson confirms nothing. A skill is confirmed by a passed quiz, practised in a guided lab, and put to the test by a challenge or a mission; an imported lab result is not verified by the site.

Assess yourself

1 quiz

At the end of the lessons: passed at 70%, it confirms the skill.

Practice

No guided lab

No guided lab practices it yet.

Proof

No proof

Neither a challenge nor a mission with a proof yet.

Around it

Who requires it, who teaches it

Is this project useful to you?

The guides, courses, quizzes and labs stay free. If you use them regularly, you can contribute to their upkeep and development.

Become a supporting member (new tab) One-time support (new tab) Learn more

Follow the project on LinkedIn