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π 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 β explained in a beginner-friendly but technical way with real-world examples and cloud architecture. π What Youβll Learn in This Video β Load Balancing (Round Robin, Least Connections, Consistent Hashing) β Caching Strategies (Cache-Aside, Write-Through, Write-Behind) β Database Replication (Primary-Replica architecture) β Sharding & Partitioning (Horizontal vs Vertical scaling) β CAP Theorem & Trade-offs (Consistency vs Availability) β Microservices Architecture vs Monolith β API Gateway & Reverse Proxy π§ Why This Matters System design is critical for: Software engineering interviews Building scalable backend systems Designing cloud-native applications Understanding real-world architectures βοΈ Real-World Implementation We also cover: AWS-based architecture examples Redis caching patterns Load balancer strategies used in production Microservices deployment patterns π― Who Should Watch? Beginners learning system design Backend developers Data engineers Cloud engineers Anyone preparing for system design interviews π₯ Coming Next Part 2 will cover: Message Queues Rate Limiting CDN Event-driven architecture Observability & more π’ Subscribe for More Welcome to Naveen TechHub π Learn AI, System Design, Databricks, APIs, and Cloud β step by step. π Donβt forget to LIKE, SHARE, and SUBSCRIBE! #systemdesign #systemsthinking #systemdesigninterview #loadbalancer #caching #sharding #scalablesystems