
Docker: The Comprehensive Textbook (Architecture, Labs, Tuning)
The ultimate guide for Engineers. Includes Architecture Deep Dive, 20-term Glossary, 10-item FAQ, and detailed Security Hardening checklists.

The ultimate guide for Engineers. Includes Architecture Deep Dive, 20-term Glossary, 10-item FAQ, and detailed Security Hardening checklists.
If an OS is a collection of programs, who is the core? Identity of the Kernel that always stays in memory.

How to deploy without shutting down servers. Differences between Rolling, Canary, and Blue-Green. Deep dive into Database Rollback strategies, Online Schema Changes, AWS CodeDeploy integration, and Feature Toggles.

How OS creates the illusion of multitasking. Preemptive vs Non-preemptive, The Starvation problem, and how modern OSs use Multi-Level Feedback Queue (MLFQ) and Red-Black Trees (Linux CFS) to keep everyone happy.

Solving server waste at dawn and crashes at lunch. Understanding Auto Scaling vs Serverless through 'Taxi Dispatch' and 'Pizza Delivery' analogies. Plus, cost-saving tips using Spot Instances.

The most important thing I learned from Docker wasn't "Docker itself" but "container thinking." The philosophy of isolating applications, treating infrastructure as immutable, and defining everything declaratively.
Now "It works on my machine" is no longer an excuse. With a Dockerfile and docker-compose.yml, anyone can reproduce the exact same environment.
Looking forward, WebAssembly (Wasm) might replace containers for certain workloads. But the core idea of "defining environments as code" will never disappear.
I hope this article saves someone from a 3 AM deployment disaster.