System Design Explained for Beginners (Part 1) | Load Balancing, Caching, Sharding & CAP Theorem

Description

🚀 Want to master System Design from scratch and understand how companies like Google, Netflix, and Amazon build scalable systems? In this video, we break down the first 7 essential system design concepts every engineer must know — explained in a beginner-friendly but technical way with real-world examples and cloud architecture. 📚 What You’ll Learn in This Video ✅ Load Balancing (Round Robin, Least Connections, Consistent Hashing) ✅ Caching Strategies (Cache-Aside, Write-Through, Write-Behind) ✅ Database Replication (Primary-Replica architecture) ✅ Sharding & Partitioning (Horizontal vs Vertical scaling) ✅ CAP Theorem & Trade-offs (Consistency vs Availability) ✅ Microservices Architecture vs Monolith ✅ API Gateway & Reverse Proxy 🧠 Why This Matters System design is critical for: Software engineering interviews Building scalable backend systems Designing cloud-native applications Understanding real-world architectures ☁️ Real-World Implementation We also cover: AWS-based architecture examples Redis caching patterns Load balancer strategies used in production Microservices deployment patterns 🎯 Who Should Watch? Beginners learning system design Backend developers Data engineers Cloud engineers Anyone preparing for system design interviews 🔥 Coming Next Part 2 will cover: Message Queues Rate Limiting CDN Event-driven architecture Observability & more 📢 Subscribe for More Welcome to Naveen TechHub 🚀 Learn AI, System Design, Databricks, APIs, and Cloud — step by step. 👉 Don’t forget to LIKE, SHARE, and SUBSCRIBE! #systemdesign #systemsthinking #systemdesigninterview #loadbalancer #caching #sharding #scalablesystems