30 Core System Design concepts every engineer must understand to build scalable, reliable in 30 Min

System Design: 30 Essential Concepts for Engineers

Are you preparing for system design interviews or aiming to become a top-tier software architect? This comprehensive video breaks down 30 core system design concepts every engineer must understand to build scalable, reliable, and performant distributed systems.

Whether you're interviewing at FAANG, working on high-traffic applications, or leveling up your architecture skills, this guide walks you through real-world diagrams, trade-offs, and examples that form the backbone of modern software architecture.

✅ What You’ll Learn:
🧱 Fundamentals & Communication
Client-Server Architecture

IP Addresses & DNS

HTTP vs HTTPS

REST APIs vs GraphQL

📈 Scalability
Vertical Scaling

Horizontal Scaling

Load Balancer

SQL vs NoSQL

Indexing, Replication, Sharding

Microservices

Message Queues

🔒 Resilience & Fault Tolerance
Load Balancers for High Availability

Database Replication

CAP Theorem

Idempotency

API Gateway

⚡ Performance
Reducing Latency

Caching (TTL, Cache-Aside)

CDN (Content Delivery Networks)

Blob Storage (e.g., AWS S3)

WebSockets & Webhooks

Rate Limiting

⚖️ Trade-Offs & Architectural Decisions
REST vs GraphQL

SQL vs NoSQL

Vertical vs Horizontal Scaling

CAP Theorem Trade-Offs

Indexing vs Write Performance

Sharding Complexity

Denormalization Benefits & Risks

Security (HTTPS, API Keys)

📚 Perfect For:

Senior software engineers

Backend & full-stack developers

DevOps & cloud architects

Candidates preparing for system design interviews (FAANG, top tech startups)

🎯 Why Watch?

Real-world system design scenarios & use cases

Visual diagrams & breakdowns

#SystemDesign #SoftwareEngineering #DistributedSystems #BackendArchitecture #TechInterview #Scalability #Microservices #WebDevelopment
Covers APIs, databases, caching, CDNs, queues, and more!

Helps you think like an architect and communicate design decisions

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👉 Comment below with any concept you'd like us to deep-dive next!