Zero Trust Security Model for AWS Infrastructure: Complete Implementation Guide

TL;DR / Key Takeaways Introduction Zero Trust security represents a fundamental shift from traditional perimeter-based security to a model where trust is never assumed and every request must be verified. In AWS environments, implementing Zero Trust requires orchestrating multiple services across identity, network, data, and monitoring layers to create a comprehensive security posture. This guide […]

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Objects and Classes: Identity, Equality, and State

TL;DR / Key Takeaways Introduction Object‑oriented programming starts with clear mental models: what an object represents, how we compare it, and how its state evolves. We’ll establish practical distinctions—identity vs equality, value vs reference semantics—and show runnable examples and class diagrams you can adapt. Related reads: Principles & Practices (SOLID, SoC), Modeling & UML basics.

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Complexity Analysis: Big‑O, Recurrences, and the Master Theorem

TL;DR / Key Takeaways Introduction Complexity analysis predicts how algorithms scale. We’ll build intuition by counting operations, contrasting growth rates, and solving common recurrences with runnable helpers. Related reads: Sorting & Searching; Recursion & Backtracking; Divide & Conquer patterns. Background Deep Dive Counting Operations (illustrative) Compare Growth Curves Master Theorem Helper + Examples We analyze

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Gang of Four Patterns for Modern Developers

TL;DR / Key Takeaways Introduction Design patterns are like seasoned colleagues: helpful when invited to the right meetings, distracting when they show up everywhere. The Gang of Four (GoF) patterns still add real value—especially in cloud‑native systems—when you pick them intentionally. This guide translates core GoF patterns into modern use, shows when not to reach

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Separation of Concerns: From Theory to Implementation

TL;DR / Key Takeaways Introduction Every time a simple change forces you to wade through unrelated code, you’re paying a tax for poor separation of concerns (SoC). As systems scale—teams, features, deployments—this tax compounds. Good separation reduces cognitive load, accelerates delivery, and makes reliability practices (testing, observability, security) practical. This post turns SoC from a

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The Art of Software Design: KISS, DRY, and YAGNI in Practice

TL;DR / Key Takeaways Introduction If you’ve ever stared at a codebase and thought, “Why is this so complicated?” you’re not alone. Most of the time, complexity isn’t malicious—it sneaks in through “just in case” features, copy‑pasted fixes, and clever abstractions that outgrow their usefulness. Three simple guardrails help keep us honest: KISS (Keep It

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SOLID Principles in Modern Software Architecture

TL;DR / Key Takeaways Introduction In software development, the SOLID principles serve as fundamental guidelines for creating maintainable, extensible, and robust code. Originally articulated by Robert C. Martin (Uncle Bob) and formalized as the SOLID acronym by Michael Feathers, these principles have stood the test of time across different programming paradigms and architectural patterns. This

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