This is a collection of some very useful command-line commands that eases the life of a DevOps Engineer.

This repository contains a detailed guide on how to implement DevOps in your organization. The playbook covers various aspects of DevOps, including continuous integration and delivery, infrastructure as code, monitoring and logging, and more.

⚓ Self-managed Kubernetes cluster on AWS EC2 | Terraform module with automated scaling, networking, and secure bootstrapping

A Git repository for the Devops.yoga Wiki content

Opinionated local dev setup for DevOps

This repository provides a step-by-step guide to deploying a Java application on AWS using a 3-tier architecture with EC2, Tomcat, MySQL, RabbitMQ, and Memcached.

Linux/Mac/Windows (WSL) setup and configuration via Ansible for the Sys/Dev Ops tools!

This project is designed to assist with deploying a stack consisting of Laravel, MySQL, and Redis

Custom Docker image with Microsoft Playwright and Azure CLI pre-installed

Configure server for Laravel projects easily

Python code to make a DevOps engineer's life easier

Full OS (Linux Fedora) setup, totally from scratch - from bootable flash drive - using a kickstart script and Ansible

A production-ready, multi-architecture Docker image for running SonarQube analysis on .NET v10 projects, preloaded with all required tooling to eliminate repetitive setup in CI pipelines.

A production-ready, multi-architecture Docker image for running SonarQube analysis on .NET projects, preloaded with all required tooling to eliminate repetitive setup in CI pipelines.

Companion for devops-labs Capstone 1: Git collaboration practice with branches, pull requests, merge strategy notes, and screenshots.

A personal, hands-on DevOps learning roadmap documenting my journey from the fundamentals to advanced practices - with notes, commands, examples, and explanations for every topic along the way. This repo is meant to be a practical reference you can follow step by step, or dip into for a specific topic like Bash scripting, docker, AWS or GCP.

This repository is designed to serve as a comprehensive guide to effective DevOps practices, tools, and methodologies. Whether you're a beginner looking to learn the basics or an experienced practitioner seeking to refine your skills

Hands-on Python for DevOps, Cloud Engineering, AWS, Docker, Kubernetes, Linux Automation, Infrastructure as Code, and SRE practices.

DevOps macOS Workstation automates the setup of essential tools and configurations for DevOps engineers working on macOS. Save hours of manual configuration with profile-based installation, dotfiles management, and pre-configured aliases.