System Design for Algorithms

Learn how to design scalable algorithms for real-world systems and understand the practical applications of algorithmic concepts.

Learning Map

System design concepts organized from scalable algorithm design to real-world applications.

Prerequisites

• Time & Space Complexity Analysis
• Basic Data Structures
• Graphs
• Dynamic Programming

What's in scope

• Scalable Algorithm Design: Distributed algorithms, parallel processing, MapReduce patterns, stream processing, and caching strategies
• Real-world Applications: Database indexing, search engines, recommendation systems, load balancing, and rate limiting

How to use this section

• Start with Scalable Algorithm Design to understand distributed and parallel algorithms
• Learn Real-world Applications for practical system design applications

📄️ Real-world Applications

Database indexing, search engines, recommendation systems, load balancing, and rate limiting

📄️ Scalable Algorithm Design

Distributed algorithms, parallel processing, MapReduce patterns, stream processing, and caching strategies