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This repository is a complete journey through System Design, covering everything from core concepts to real-world architecture problems. It includes in-depth explanations of topics like load balancing, caching, sharding, and the CAP theorem, along with scalable system design patterns, case studies.

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πŸ—οΈ System Design Learning Journey

Welcome to my System Design Learning Journey! πŸš€
This repository documents my structured approach to mastering system design β€” from core fundamentals to designing scalable, distributed systems used by top tech companies.


🎯 Objective

To become a System Design Expert capable of architecting high-scale, fault-tolerant, and efficient backend systems β€” essential for roles such as Backend Engineer, System Architect, or SDE-2/3.


πŸ“… Timeline

Start Date: June 2025
Target Completion: September 2025 (First milestone)


🧠 Core Learning Areas

βš™οΈ System Design Fundamentals

  • βœ… Scalability
  • βœ… Load Balancing
  • βœ… Caching
  • βœ… Data Partitioning (Sharding)
  • βœ… Database Indexing
  • πŸ”„ CAP Theorem, Consistency, Availability, Partition Tolerance
  • πŸ”„ Latency vs Throughput

☁️ System Components

  • βœ… Web Servers & Application Servers
  • βœ… API Gateway
  • πŸ”„ Content Delivery Networks (CDNs)
  • πŸ”„ Relational vs NoSQL Databases
  • πŸ”„ Message Queues & Event-Driven Systems (Kafka, RabbitMQ)
  • πŸ”„ Object Storage (S3, GCS)

πŸ” Security & Reliability

  • πŸ”„ Authentication & Authorization (OAuth, JWT)
  • πŸ”„ HTTPS, TLS
  • πŸ”„ Rate Limiting
  • πŸ”„ Circuit Breakers
  • πŸ”„ Health Checks, Failovers

πŸ” Monitoring & Observability

  • βœ… Logging, Metrics, Alerts
  • πŸ”„ Prometheus, Grafana, ELK Stack
  • πŸ”„ Distributed Tracing

πŸ“ System Design Case Studies

System Concepts Practiced Status
URL Shortener (Bit.ly) Hashing, DB Design, API Rate Limits βœ…
Instagram Feed Caching, Newsfeed Generation, Read-Write Balance πŸ”„
WhatsApp Chat System Real-Time Messaging, Queues, Database Sharding πŸ”„
YouTube Video Storage, Streaming, CDN πŸ”„
Uber Backend Geo Indexing, Real-time Matching, Pub/Sub πŸ”„

πŸ“š Resources I'm Using


πŸ›  Tools & Platforms

  • VS Code
  • Draw.io / Whimsical (for architecture diagrams)
  • Git & GitHub
  • Postman / Swagger (for API testing)
  • Apache JMeter / k6 (for load testing)

🌐 Connect with Me

πŸ”— LinkedIn
πŸ”— GitHub
πŸ”— Linktree


🚧 In Progress

  • Building scalable system design diagrams
  • Writing notes on each key component
  • Practicing whiteboard interviews
  • Participating in mock system design interviews

πŸ“Œ Final Goal

Secure an advanced engineering position where I contribute to designing backend systems at scale β€” and apply for top tech companies or research-based MS in Computer Science (2026).


"First make it work. Then make it right. Then make it fast." β€” Kent Beck

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This repository is a complete journey through System Design, covering everything from core concepts to real-world architecture problems. It includes in-depth explanations of topics like load balancing, caching, sharding, and the CAP theorem, along with scalable system design patterns, case studies.

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