System Design

Design patterns for scale: load balancing, caching layers, message queues, database sharding, CAP theorem, consistency models, and interview-ready case studies for real-world distributed systems.

FundamentalsTopics 1–10

·What is System Design?
·Requirements & Estimation
·Client-Server Architecture
·APIs & Communication
·DNS & Load Balancing
·Caching Fundamentals
·Databases: Relational vs NoSQL
·Scaling: Horizontal vs Vertical
·CAP Theorem & Consistency
·Latency & Throughput

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IntermediateTopics 11–22

·Consistent Hashing
·Database Replication
·Database Sharding
·Message Queues
·CDN
·SQL vs NoSQL
·Indexes & Query Optimization
·Rate Limiting
·Proxies & API Gateways
·Microservices vs Monolith
·Service Discovery
·Data Consistency Patterns

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PatternsTopics 23–33

·Read-Heavy System Design
·Write-Heavy System Design
·Blob Storage
·Search Systems
·Notification Systems
·Distributed Transactions
·CQRS & Event Sourcing
·Circuit Breaker & Bulkhead
·Idempotency
·Distributed Locks
·Observability at Scale

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Case StudiesTopics 34–40

·Design a URL Shortener
·Design a Social Feed
·Design a Chat System
·Design Video Streaming
·Design Ride-Sharing
·Design a Key-Value Store
·Design a Web Crawler

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