@LearnWithBrij: MASTER SYSTEM DESIGN SYSTEM DESIGN MASTER TREE │ ├── 1. Fundamentals │ ├── What is System Design │ ├── Functional Requi…
Summary
A comprehensive system design master tree covering fundamentals through real-world applications, including architecture patterns, databases, caching, messaging systems, API design, and deployment strategies. Intended as a structured learning guide for software engineers.
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MASTER SYSTEM DESIGN
SYSTEM DESIGN MASTER TREE │ ├── 1. Fundamentals │ ├── What is System Design │ ├── Functional Requirements │ ├── Non-Functional Requirements │ │ ├── Scalability │ │ ├── Reliability │ │ ├── Availability │ │ ├── Consistency │ │ └── Performance │ └── Trade-offs │ ├── 2. Architecture Basics │ ├── Monolithic Architecture │ ├── Microservices Architecture │ ├── Service-Oriented Architecture (SOA) │ ├── Layered Architecture │ └── Event-Driven Architecture │ ├── 3. Networking Basics │ ├── HTTP / HTTPS │ ├── TCP / IP │ ├── DNS │ ├── Load Balancing Concepts │ └── Latency vs Throughput │ ├── 4. Load Balancing │ ├── Types (L4 / L7) │ ├── Algorithms │ │ ├── Round Robin │ │ ├── Least Connections │ │ └── IP Hash │ ├── Reverse Proxy │ └── Failover Strategies │ ├── 5. Databases │ ├── SQL vs NoSQL │ ├── Relational Databases │ ├── NoSQL Types │ │ ├── Key-Value │ │ ├── Document │ │ ├── Column │ │ └── Graph │ ├── CAP Theorem │ └── ACID vs BASE │ ├── 6. Caching │ ├── Why Caching │ ├── Cache Layers │ │ ├── Client-side │ │ ├── CDN │ │ ├── Server-side │ ├── Cache Strategies │ │ ├── Write-through │ │ ├── Write-back │ │ └── Cache-aside │ └── Cache Invalidation │ ├── 7. Data Partitioning │ ├── Vertical Partitioning │ ├── Horizontal Partitioning (Sharding) │ ├── Consistent Hashing │ └── Rebalancing │ ├── 8. Replication │ ├── Master-Slave │ ├── Master-Master │ ├── Synchronous Replication │ └── Asynchronous Replication │ ├── 9. Consistency Models │ ├── Strong Consistency │ ├── Eventual Consistency │ ├── Causal Consistency │ └── Read-after-Write Consistency │ ├── 10. Messaging Systems │ ├── Message Queues │ ├── Pub/Sub Systems │ ├── Kafka / RabbitMQ │ ├── Event Streaming │ └── Exactly-once / At-least-once Delivery │ ├── 11. API Design │ ├── REST │ ├── GraphQL │ ├── gRPC │ ├── Rate Limiting │ └── API Gateway │ ├── 12. Storage Systems │ ├── File Storage │ ├── Object Storage (S3) │ ├── Block Storage │ └── CDN (Content Delivery Network) │ ├── 13. Security │ ├── Authentication │ ├── Authorization │ ├── Encryption (SSL/TLS) │ ├── Firewalls │ └── DDoS Protection │ ├── 14. Scalability │ ├── Vertical Scaling │ ├── Horizontal Scaling │ ├── Auto Scaling │ └── Stateless Services │ ├── 15. Fault Tolerance │ ├── Redundancy │ ├── Circuit Breaker │ ├── Retries & Backoff │ └── Graceful Degradation │ ├── 16. Observability │ ├── Logging │ ├── Monitoring │ ├── Metrics │ ├── Alerting │ └── Distributed Tracing │ ├── 17. Deployment & DevOps │ ├── CI/CD │ ├── Docker │ ├── Kubernetes │ ├── Blue-Green Deployment │ └── Canary Releases │ └── 18. Real-World System Design ├── URL Shortener (like Bitly) ├── Chat System (like WhatsApp) ├── Video Streaming (like YouTube) ├── Ride Sharing (like Uber) └── Social Media Feed (like Twitter/X)
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