IaC-cloud-lab

Azure IaC lab: GitHub + Terraform + Ansible from manual provisioning to full automation.

This repository demonstrates three approaches to Infrastructure as Code (IaC):

1. Manual Terraform deployment - students inspect, adapt and run Terraform/Ansible files

2. GitHub-based IaC workflow, students clone the project from GitHub and provision infrastructure from code.

3. Fully automated provisioning with shell scripts - students run a shell script that provisions infrastructure and configures a simple Flask service

The lab uses Azure CLI, GitHub, Terraform and Ansible to provision and configure a Linux virtual machine running Flask

The full automation path intentionally deploys Flask, not Apache. Apache configuration is left as a student task.

Requirements

The recommended environment is Azure Cloud Shell / Bash.

Required tools:

• Azure CLI
• Git
• Terraform
• Ansible
• SSH client

Repository URL used in the lab:

git clone https://github.com/magtk/iac-cloud-lab.git

This repository is a starter kit for a Cloud Technologies laboratory.

Lab structure

iac-cloud-lab/
├── lab01-nginx-aci/
├── lab02-flask-container/
├── lab03-terraform/
├── lab04-ansible/
└── lab05-automation/

What students should see

• a ready-made container can be launched locally and in Azure,
• a simple Flask application can be containerized with Docker or Podman,
• cloud infrastructure can be created from code using Terraform,
• a VM can be configured using Ansible,
• deployment steps can be orchestrated with Bash or Python.

Important

The automation examples deploy the Flask container demo.

Apache configuration is intentionally left as a student task in:

lab04-ansible/playbook-apache-task.yml

Cleanup

Always remove Azure resources after the lab:

cd lab03-terraform
terraform destroy -auto-approve

or use one of the destroy scripts from lab05-automation.

About

This repository was created as part of Cloud Technologies laboratory materials.

Author: MagT (magt.ovh)