As someone who enjoys Linux system administration, I often found myself writing small Python scripts to automate repetitive tasks. Most of them started the same way:
"I only need this once."
A few weeks later, I would need the same script again, make a few changes, and eventually end up with multiple versions scattered across different folders.
That made me realize I wasn't just writing scripts—I was gradually building a toolbox.
Instead of keeping these utilities private, I decided to organize them into a single repository with a clear structure, consistent design, and proper documentation.
That's how OOPS (Operations Optimization & Python Scripts) was born.
What is OOPS?
OOPS is a curated collection of Python-based command-line tools focused on Linux system administration and infrastructure automation.
The goal isn't to create large frameworks or all-in-one management platforms. Instead, each project addresses a single operational challenge and solves it well.
Every tool is inspired by situations system administrators encounter in real environments:
- Auditing systems
- Collecting operational data
- Automating repetitive maintenance tasks
- Generating reports
- Simplifying infrastructure management
Each solution is designed to be practical, lightweight, and easy to understand.
Why "Tickets"?
Rather than treating every script as an isolated project, I wanted to simulate how operational tasks often arrive in a real workplace.
Every utility begins as a ticket—a small problem that needs to be solved.
For example:
"Management wants a weekly report..."
or
"We need to audit every Linux server..."
or
"This repetitive task should be automated."
The ticket becomes the project's requirements, and the final result is a reusable command-line tool.
This approach keeps development focused on solving real problems instead of building features without a purpose.
Design Philosophy
The repository follows a few simple principles:
- Solve one problem at a time.
- Prefer clean architecture over clever code.
- Build tools that are reusable.
- Keep dependencies reasonable.
- Produce output that's useful for administrators.
- Write documentation as if someone else will maintain the project.
The objective isn't simply to automate tasks—it's to create utilities that I'd feel comfortable using in a production environment.
What You Can Expect
As OOPS grows, it will include tools covering different areas of Linux administration, such as:
- System auditing
- User and permission management
- SSH administration
- Log analysis
- Backup verification
- Storage management
- Network diagnostics
- Reporting and monitoring utilities
- Other automation tasks inspired by day-to-day operations
Each project will remain independent while following the same development style and documentation standards.
Why Open Source?
One of the best ways to improve is by sharing your work.
Publishing these tools encourages better coding practices, clearer documentation, and opens the door to valuable feedback from the community.
If a tool helps someone automate a task or inspires a different approach to a problem, then it has already achieved its purpose.
What's Next?
The first ticket is already complete, and more are planned.
I'm looking forward to expanding OOPS with new automation tools based on practical system administration scenarios, improving the existing projects, and learning from the feedback of the open-source community along the way.
If you have ideas for repetitive Linux administration tasks that could benefit from automation, I'd love to hear them.
After all, today's annoying manual task might become tomorrow's next OOPS ticket.
Explore the Repository
OOPS is an ongoing project, and new automation tools will be added over time as new operational challenges arise.
If you'd like to explore the source code, follow upcoming tickets, or contribute ideas, you can find the project here:
GitHub: https://github.com/hosnizaaraoui/OOPS
⭐ If you find the project useful or interesting, consider giving it a star—it helps others discover it and motivates future development.
Thank you for reading, and happy automating! 🚀
Top comments (0)