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🏗️ System Design Learning Journey

Welcome to my System Design Learning Journey! 🚀
This repository documents my structured approach to mastering system design — 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 — essential for roles such as Backend Engineer, System Architect, or SDE-2/3.


📅 Timeline

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


🧠 Core Learning Areas

⚙️ System Design Fundamentals

  • ✅ Scalability
  • ✅ Load Balancing
  • ✅ Caching
  • ✅ Data Partitioning (Sharding)
  • ✅ Database Indexing
  • 🔄 CAP Theorem, Consistency, Availability, Partition Tolerance
  • 🔄 Latency vs Throughput

☁️ System Components

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

🔐 Security & Reliability

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

🔍 Monitoring & Observability

  • ✅ Logging, Metrics, Alerts
  • 🔄 Prometheus, Grafana, ELK Stack
  • 🔄 Distributed Tracing

📐 System Design Case Studies

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

📚 Resources I'm Using


🛠 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

🔗 LinkedIn
🔗 GitHub
🔗 Linktree


🚧 In Progress

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

📌 Final Goal

Secure an advanced engineering position where I contribute to designing backend systems at scale — 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." — Kent Beck

About

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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