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stephrobert/linux-dsoxlab-training

Analysis updated 2026-05-18

23PythonAudience · ops devopsComplexity · 3/5LicenseSetup · moderate

TLDR

A catalog of hands-on Linux security labs for RHCSA and LFCS certification prep, run and scored through the separate dsoxlab CLI tool.

Mindmap

mindmap
  root((dsoxlab training))
    What it does
      RHCSA/LFCS labs
      Guided + challenge modes
      State-based validation
      Scoring with hints
    Tech stack
      Python
      YAML
      Terraform
      Incus/KVM
    Use cases
      Certification prep
      Hardening practice
      Reboot persistence tests
    Audience
      DevSecOps learners
      Sysadmins

Code map

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What do people build with it?

USE CASE 1

Work through guided and challenge-style Linux labs to prepare for the RHCSA or LFCS exam.

USE CASE 2

Practice hardening tasks that are verified against the real state of the machine, not just a typed command.

USE CASE 3

Run VM-backed labs that specifically test whether a configuration survives a reboot.

USE CASE 4

Track lab scores and hint usage locally to measure certification readiness over time.

What is it built with?

PythonYAMLTerraformIncusKVM

How does it compare?

stephrobert/linux-dsoxlab-trainingaaravkashyap12/advise-project-approachabu-rayhan-alif/django-saas-kit
Stars232323
LanguagePythonPythonPython
Setup difficultymoderateeasymoderate
Complexity3/52/53/5
Audienceops devopsdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

VM-based labs need a working KVM/libvirt, Incus, or supported cloud provider set up before use, shell labs need only a terminal.

In plain English

linux-dsoxlab-training is a catalog of hands on Linux security training exercises aimed at people preparing for the RHCSA and LFCS certifications. It is not a program you run by itself. Instead it is a set of lab descriptions and tests that work together with a separate command line tool called dsoxlab, which is installed on its own and acts as the single way to browse, start, complete, and score each lab. Each lab comes in one of three styles: a guided walkthrough with precise steps, a challenge that only gives you a goal so you have to work out the steps yourself, and larger capstone labs that pull together a whole block of skills. What makes the grading different from many training platforms is that it checks the real state of the machine rather than whether you typed the right looking command. For example, it confirms a service is both running and set to start on its own, or that a mount point actually appears in the system's configuration file, not just that it works right now. Labs run in one of three ways depending on what they need to prove: directly in your own shell for quick file and permission exercises, inside lightweight Incus containers for isolated environments, or as full virtual machines set up with Terraform when the lab needs to prove something survives a reboot, such as a firewall rule or a storage setting. The tool tracks your scores locally, and revealing a hint during a challenge costs you points, which encourages trying first. Everything about a lab, including its skill area, difficulty level, required runtime, and supported Linux distributions, is described in a YAML file rather than code, so the catalog can grow without changing the underlying engine. The project is released under a Creative Commons Attribution license and offers its documentation in both English and French.

Copy-paste prompts

Prompt 1
Walk me through installing the dsoxlab CLI and running my first lab from this catalog.
Prompt 2
Explain how dsoxlab validates that a service survives a reboot instead of just checking it runs now.
Prompt 3
What is the difference between the shell, incus, and kvm runtimes this catalog uses for labs?
Prompt 4
Show me how lab.yaml describes a lab's skills, level, and validation requirements.

Frequently asked questions

What is linux-dsoxlab-training?

A catalog of hands-on Linux security labs for RHCSA and LFCS certification prep, run and scored through the separate dsoxlab CLI tool.

What language is linux-dsoxlab-training written in?

Mainly Python. The stack also includes Python, YAML, Terraform.

How hard is linux-dsoxlab-training to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is linux-dsoxlab-training for?

Mainly ops devops.

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