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In the previous article, you learned how load balancers distribute traffic across servers. But even with many servers, your system can be slow if every request hits the database. This is where caching comes in. Caching is one of the most effective ways to speed up any system. It reduces database load, lowers latency, and saves money. What is Caching? Caching means storing a copy of data in a faster storage layer so future requests can be served quicker. Instead of fetching data from a slow source (like a database), you fetch it from a fast source (like memory). ...

In the previous article, you learned about horizontal scaling — adding more servers to handle more traffic. But when you have multiple servers, how do you distribute traffic across them? That is what a load balancer does. It is one of the most important components in any scalable system. What is a Load Balancer? A load balancer is a device or software that distributes incoming network traffic across multiple servers. Think of it as a traffic director at a busy intersection. ...

In the previous article, you learned what system design is and how to approach any design problem. Now let us talk about the most fundamental concept: scalability. Scalability is the ability of a system to handle more work by adding resources. Every system starts small. The question is: what happens when it needs to grow? What is Scalability? Imagine you own a coffee shop. On Monday, you serve 50 customers. Your single barista handles it fine. But on Saturday, 500 people show up. What do you do? ...

You know how to write code. You can build features, fix bugs, and ship apps. But when someone asks you to design a system that handles millions of users, you freeze. This is what system design is about. It is the skill of building software systems that work at scale. And it is not just for senior engineers or job interviews. Every developer needs it. This is the first article in the System Design from Zero to Senior series. We will start from the basics and build up to designing real systems like URL shorteners, chat apps, and video streaming platforms. ...

Claude is not one model. It is a family of models, each designed for different tasks and budgets. Choosing the right model can save you money and get you better results. This is Article 4 in the Claude AI — From Zero to Power User series. You should have completed Article 2: Getting Started before this article. By the end of this article, you will know exactly when to use Opus, Sonnet, and Haiku. ...

This is your one-page reference for coding interviews. It covers every data structure, algorithm, and pattern from the entire DSA Tutorial series. Bookmark this page and review it before your next interview. We show code templates in Python, Kotlin, and Go. Data Structure Complexity Data Structure Access Search Insert Delete Space Array O(1) O(n) O(n) O(n) O(n) Linked List O(n) O(n) O(1)* O(1)* O(n) Stack O(n) O(n) O(1) O(1) O(n) Queue O(n) O(n) O(1) O(1) O(n) Hash Map — O(1) avg O(1) avg O(1) avg O(n) BST (balanced) — O(log n) O(log n) O(log n) O(n) Heap — O(n) O(log n) O(log n) O(n) Trie — O(m) O(m) O(m) O(n*m) Graph (adj list) — O(V+E) O(1) O(E) O(V+E) Union-Find — O(α(n)) — — O(n) *With reference to the node. m = string length. α(n) = inverse Ackermann (effectively O(1)). ...

Many developers spend months grinding LeetCode and still struggle in interviews. The problem is not how much you practice — it is how you practice. In this article, you will learn the most effective study strategies, a proven study plan, and how to avoid the most common mistakes. The Wrong Way: Random LeetCode Grinding Random grinding means: open LeetCode, pick a problem, spend 2 hours, fail, look at the answer, move to the next problem. Repeat 300 times. ...

Coding interviews have two main components: data structures and algorithms (DSA) and system design. Many developers wonder: which should I study? The answer depends on your experience level and the role you are targeting. In this article, you will learn what each tests, how to allocate study time, and how DSA and system design connect. What DSA Interviews Test DSA interviews test your ability to: Solve a coding problem in 30-45 minutes Write clean, correct code Analyze time and space complexity Think through edge cases Communicate your thought process Typical DSA question: “Given an array of integers, find two numbers that add up to a target.” ...

Claude Code is a terminal-native AI coding assistant. It lives in your terminal, reads your codebase, edits files, and runs commands. No IDE plugin needed. No browser tab. Just your terminal. This is Article 3 in the Claude AI — From Zero to Power User series. If you are new to Claude, start with Article 1: What is Claude?. By the end of this article, you will have Claude Code installed, configured, and ready to use on your projects. ...

You want to build something with Claude. Great. In this article, you will create an Anthropic account, get an API key, install the SDK, and make your first API call — in both Python and TypeScript. This is Article 2 in the Claude AI — From Zero to Power User series. If you are new to Claude, start with Article 1: What is Claude?. By the end of this article, you will have a working Claude API setup and understand how tokens, pricing, and error handling work. ...