"GitHub Kung Fu: Mastering Repos Like a Linux CLI Ninja with terraform"

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Introduction

As a Linux engineer diving into infrastructure-as-code, I built a production-ready AWS VPC module using Terraform - with some Linux command-line wisdom sprinkled in. Here's how you can leverage both worlds to create maintainable cloud infrastructure.`

Index

1. 
   Lab 1: VPC Module
   


2. 
   Lab 2: Git CLI
   


3. 
   Lab 3: Git Cheat Sheet
   

Lab 1: Authoring the VPC Module (Linux Style)

1. Core Infrastructure (With Linux Parallels)

main.tf - The "Infrastructure Blueprint"

Linux Analogy:

• Like building /etc/network/interfaces using variables from envvars


• for_each ≈ for i in {1..3}; do ip addr add ...; done

2. Linux-Inspired Validation

variables.tf - The "Configuration Panel"

Linux Parallels:

• validation ≈ [[ "$CIDR" =~ ^[0-9./]+$ ]] || exit 1


• type constraints ≈ declare -i PORT=80 (type enforcement)

3. Linux Comparison Focus

outputs.tf - The "API Endpoints"

Why This Matters:

Reusability: Other modules/Terraform workspaces can consume these

Debugging: Quickly get IDs without AWS console (like ip a for networking)

Automation: Feed outputs into scripts (similar to $(hostname) in bash)

Key Takeaways for Linux Engineers

main.tf = Your config_file (e.g., sshd_config)

variables.tf = ENV vars + input validation (set -u)

outputs.tf = stdout for other processes (| grep)

Pro Tip: Add this to your ~/.bashrc for quick outputs:

Lab 2: Git Integration (Terminal Workflow)

1. Initialize Git Repo

• On GitHub, sign in and create a new repository named terraform-aws-vpcexample.


• Take the URL and add it as the remote origin:

2. Commit the changes and push them to the remote repository:

git add .

git commit -m "Initial commit"

git tag v1.0.0

git push -u origin main && git push --tags

Now, could check in GITHUB all the files successfully committed.

Lab 3: GitHub Repository Management Cheat Sheet

All essential Linux CLI commands for Git operations

Why This Matters

• Infrastructure as Code (IaC) + Git = Traceability
  


• Every change is versioned, auditable, and collaborative.


• CLI Efficiency


• No GUI dependencies – ideal for remote servers/automation.
  

#30DaysLinuxChallenge #CloudWhisler

DevOps #Linux #RHCSA #Opensource #AWS #CloudComputing

Catch out by My LinkedIn profile

https://www.linkedin.com/in/rajpreet-gill-4569b4161/