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The Production-Ready Docker & Linux Pocket Guide
An Essential Reference for Developers, Students, and DevOps Engineers
This book is 100% completeLast updated on 2026-07-21
The ultimate practical guide designed to fast-track your technical skills without the fluff. Whether you are a developer, student, or DevOps engineer, this essential reference delivers actionable insights to solve real-world problems instantly. Master your craft and stream-line your workflow today!
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About
About the Book
Stop struggling with server deployment and multi-container setups. Get battle-tested, production-ready configurations in minutes.
The Production-Ready Docker & Linux Pocket Guide is a concise, hands-on reference designed for software developers, computer science students, and engineers who want to bridge the gap between local development and real-world cloud deployment.
Instead of wading through hundreds of pages of abstract theory, this guide cuts straight to the chase with actionable commands, practical Dockerfiles, and security best practices you can copy-paste directly into your projects.
🚀 What’s Inside:- Linux CLI & VPS Essentials: Key commands for server management, file permissions, memory inspection, and port monitoring.
- Docker Core & Container Lifecycle: A cheat sheet for building, running, inspecting, and managing containers efficiently.
- Production Dockerfiles: Battle-tested setups for Python (FastAPI/Flask) and Node.js (Express) using lightweight base images
- Multi-Container Orchestration: Ready-to-use docker-compose.yml linking web services with production-ready PostgreSQL databases.
- Security & System Cleanup: Non-root execution practices, UFW firewall configurations, and system pruning workflows.
- Developers looking to containerize their apps quickly without trial and error.
Students & Beginners learning Docker and Linux CLI for real-world application
Freelancers & Engineers deploying applications to VPS platforms like AWS, DigitalOcean, or Hetzner
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About the Author
Anas AhmedAdawy
Anas Ahmed Adawy is an independent author and tech enthusiast passionate about bridging the gap between theoretical science and practical coding. With a focus on applied mathematics, linear algebra, and machine learning, he creates beginner-friendly guides designed to help programmers and students master the core mechanics behind modern AI. His writing breaks down complex academic formulas into clear, actionable Python code.
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