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Linux Infrastructure, Self-Hosting & Data Science

Welcome to My Knowledge Base

This platform is a hands-on engineering reference dedicated to the Linux ecosystem—ranging from low-level system administration, network architecture, and containerization to production-ready self-hosted services and database tuning.

Every modern Data Science workflow and backend application relies on a rock-solid infrastructure. The guides documented here focus on building, automating, and hardening that exact foundation using open-source tools on Debian Linux: practical, reproducible, and stripped of unnecessary theory.

Core Topics

  • Linux & System Administration

    Command-line mastery, permissions, process management, systemd automation, rootless Podman containers, and server hardening.

    Linux History & Basics Podman & Hardening

  • Self-Hosting Stacks

    Replace cloud dependencies with your own infrastructure: Nextcloud, full mail servers, Git instances, reverse proxies, and encrypted backups.

    Nextcloud Stack Mail Server Guide

  • Data Science & Python

    Data wrangling with Pandas and NumPy, machine learning with Scikit-learn, visualization, and modern Python APIs (FastAPI, Django, Pytest).

    Data Science Python Engineering

  • Networking & Databases

    Linux routing, firewalls, KVM/QEMU network simulation, and production database administration (indexing, replication, and performance tuning).

    KVM/QEMU Lab Database Tuning

  • Systems Programming & Pi Labs

    Polyglot backend development in C, Go, Rust, and Java alongside practical Raspberry Pi hardware workshops, IoT sensors, and home NAS setups.

    Rust & Go Raspberry Pi Labs

  • Sovereign Infrastructure & Bitcoin

    Digital sovereignty in practice: running, verifying, and securing your own Bitcoin Core Full Node alongside critical economic and technical analyses.

    The Sovereign Stack Bitcoin Intro