Open Source Unix Shell DevOps Tools

This repository is used to document my journey on getting a better foundational knowledge of DevOps. I will be starting this journey on the 1st January 2022 but the idea is that we take 90 days which just so happens to be January 1st to March 31st. The reason for documenting these days is so that others can take something from it and also hopefully enhance the resources. The goal is to take 90 days, 1 hour a day, to tackle over 13 areas of DevOps to foundational knowledge. This will not cover all things DevOps but it will cover the areas that I feel will benefit my learning and understanding overall. What is and why do we use DevOps. Learning a Programming Language. Knowing Linux Basics. Understand Networking. Stick to one Cloud Provider. Use Git Effectively. Automate Configuration Management. Learn Infrastructure as Code. And much more!

Scripts for many popular DevOps technologies, see Inventory below for more details. Advanced configs for common tools like Git, vim, screen, tmux, PostgreSQL psql etc. CI configs for most major Continuous Integration products (see CI builds page) CI scripts for a drop-in framework of standard checks to run in all CI builds, CI detection, accounting for installation differences across CI environments, root vs user, virtualenvs etc. API scripts auto-handling authentication, tokens and other details to quickly query popular APIs with a few keystrokes just supplying the /path/endpoint. Advanced Bash environment - .bashrc + .bash.d/*.sh - aliases, functions, colouring, dynamic Git & shell behaviour enhancements, automatic pathing for installations and major languages like Python, Perl, Ruby, NodeJS, Golang across Linux distributions and Mac. See .bash.d/README.md. Installs the best systems packages.

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The Tailspin Space Game Web project is a sample application created by Microsoft as part of its learning resources. It’s a web-based game application used in Microsoft Learn modules and documentation to demonstrate concepts such as Azure App Services, continuous integration and delivery (CI/CD) pipelines, and DevOps practices with GitHub Actions and Azure Pipelines. The project is intentionally lightweight and easy to deploy so learners can quickly experiment with cloud deployment, testing, monitoring, and scaling scenarios while focusing on modern DevOps workflows.