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About Logeshwaran
I am an experienced AWS Full Stack Developer with expertise in building scalable, cloud-native applications using a wide range of technologies, including AWS, Angular, Java, Node.js, Python, Terraform, Docker, and TypeScript. With a strong focus on delivering high-performance solutions, I specialize in leveraging AWS services for cloud architecture, creating dynamic front-end interfaces, and building efficient back-end systems. I have hands-on experience in automating infrastructure with Terraform, containerizing applications using Docker, and implementing DevOps best practices.
Dynamic Programming: From Memoization to Tabulation With 10 Classic Problems Solved
Posted inSystem Design

Dynamic Programming: From Memoization to Tabulation With 10 Classic Problems Solved

Dynamic programming transforms exponential brute-force solutions into polynomial ones. This guide covers the full framework — recognizing DP problems, memoization, tabulation — with 10 classic problems fully solved.
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Unit Testing Best Practices: Write Tests That Actually Catch Bugs Before Production
Posted inDebugging

Unit Testing Best Practices: Write Tests That Actually Catch Bugs Before Production

Most unit tests do not actually prevent bugs — they test implementation details, pass on broken code, and create maintenance overhead without safety. This guide covers testing that gives real confidence.
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Hash Tables Explained: How They Work, Collision Resolution, and Real-World Use Cases
Posted inSystem Design

Hash Tables Explained: How They Work, Collision Resolution, and Real-World Use Cases

Hash tables are the most important data structure in programming — powering dictionaries, caches, databases, and sets. This guide explains how they work from hash functions to collision resolution.
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Functional Programming in JavaScript: Immutability, Pure Functions, and Composition
Posted inJavaScript

Functional Programming in JavaScript: Immutability, Pure Functions, and Composition

Functional programming in JavaScript is not about avoiding classes — it is about writing predictable, testable code with pure functions, immutability, and composition. This guide covers the practical patterns.
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SOLID Principles Explained: Write Code That Does Not Break When Requirements Change
Posted inSystem Design

SOLID Principles Explained: Write Code That Does Not Break When Requirements Change

SOLID principles are the difference between code that gets easier to change over time and code that gets harder. Each principle explained with concrete TypeScript examples and real violations to avoid.
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Memory Management in JavaScript: Garbage Collection, Heap, and Leak Detection
Posted inJavaScript

Memory Management in JavaScript: Garbage Collection, Heap, and Leak Detection

JavaScript manages memory automatically, but leaks still happen. This guide explains how V8 garbage collection works, how to take heap snapshots, detect leaks with Chrome DevTools, and write leak-proof code.
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CI/CD Pipeline Best Practices: From Code Push to Production in Under 10 Minutes
Posted inDebugging

CI/CD Pipeline Best Practices: From Code Push to Production in Under 10 Minutes

A slow CI/CD pipeline is a developer productivity killer. These practices — parallel jobs, smart caching, test pyramids, and automated rollbacks — get you from push to production in under 10 minutes reliably.
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Database Indexing: The Complete Guide to Indexes Every Developer Must Understand
Posted inDebugging

Database Indexing: The Complete Guide to Indexes Every Developer Must Understand

Indexes are the single most impactful database performance tool — and the most misunderstood. This guide explains every index type, when they help, when they hurt, and how the query planner decides to use them.
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API Security Best Practices: How to Secure Your APIs Against Real-World Attacks
Posted inSystem Design

API Security Best Practices: How to Secure Your APIs Against Real-World Attacks

APIs are the most attacked surface in modern web applications. This guide covers every real-world attack vector — broken auth, injection, rate limiting bypass, CORS misconfiguration — and the defenses that actually work.
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Recursion Explained: From Base Cases to Tree Traversal to Dynamic Programming
Posted inSystem Design

Recursion Explained: From Base Cases to Tree Traversal to Dynamic Programming

Recursion clicks when you understand three things: the base case, the recursive case, and the call stack. This guide takes you from first principles to tree traversal to full dynamic programming with memoization.
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