Welcome to the System Design Mastery Course!
This repository is designed to prepare you for senior software engineering roles, with a focus on Low-Level Design (LLD) and High-Level Design (HLD).

By the end, you will be able to:
✅ Write clean, extensible, and scalable object-oriented designs (LLD)
✅ Architect large-scale systems like Netflix, Uber, and Twitter (HLD)
✅ Crack System Design interviews with confidence
✅ Apply principles in real-world projects

• LLD/ → Learn OOP, design principles, patterns, and case studies
• HLD/ → Dive into distributed systems, databases, caching, queues, and large-scale architectures
• Advanced/ → Explore event-driven design, consensus, observability, and APIs
• Interview_Preparation/ → Frameworks, trade-offs, mock problems, and pitfalls
• Projects/ → Hands-on capstone projects like social media, chat apps, video streaming, etc.

• Event-Driven Architecture
• Distributed Consensus (Paxos, Raft)
• Database Internals (Indexes, Isolation)
• Monitoring & Observability
• API Design Best Practices (REST, gRPC, GraphQL)

• What is System Design & why it matters
• Difference between LLD vs HLD
• Principles of scalability, maintainability, performance

• Event-Driven Architecture
• Distributed Consensus (Paxos, Raft)
• Database Internals (Indexes, Isolation)
• Monitoring & Observability
• API Design Best Practices (REST, gRPC, GraphQL)

• Client-Server Model
• Databases (SQL vs NoSQL, partitioning, replication)
• Caching & Load Balancing
• Message Queues (Kafka, RabbitMQ)
• Security (OAuth, JWT, HTTPS)
• Case Studies: URL Shortener, Instagram, YouTube, WhatsApp, E-commerce

1. Start with LLD basics
2. Move to HLD fundamentals
3. Solve case studies
4. Deep dive into advanced topics
5. Practice mock interview problems
6. Build capstone projects

• Designing Data-Intensive Applications – Martin Kleppmann
• System Design Interview – Alex Xu
• Head First Design Patterns – Eric Freeman

• LeetCode Design Problems
• Grokking the System Design Interview
• Awesome System Design (GitHub curated list)

• CAP Theorem Explained
• Database Indexing & Partitioning
• Common Design Patterns Quick Reference

By completing this course, you will:

• Think like a system architect
• Communicate design ideas clearly with diagrams & trade-offs
• Be fully prepared for Senior Engineer / Architect interviews

🔥 Let’s get started and build systems that scale!