System Design - TPM[101]

🔍 What You’ll Learn in 45 Minutes

A focused session to help you confidently tackle System Design, whether you're preparing for interviews or improving your architecture skills.

• Understand how to approach real-world system design problems
• Learn core concepts: scalability, load balancing, database choices, CAP theorem, caching, queues
• Walk through 1–2 popular design problems (e.g., URL Shortener, Chat App, Instagram, Rate Limiter)
• Explore trade-offs between monoliths, microservices, and event-driven architectures
• Gain clarity on designing for performance, availability, and fault tolerance

👥 Who is this for?

• Software Engineers preparing for FAANG/System Design interviews
• Devs aiming to level up architectural thinking
• Product/Project Managers wanting to understand technical trade-offs
• Early career techies who want to build scalable apps the right way

🧰 Session Format

• ✅ Quick intro: Your background + goals (5 mins)
• ✅ Deep-dive on 1–2 real-world design challenges
• ✅ Whiteboard-style walkthroughs or diagrams (Google Jamboard or Miro)
• ✅ Tools, best practices, and real architecture examples
• ✅ Q&A, and next steps with a learning plan

🎯 Key Concepts You Can Learn

• Horizontal vs Vertical Scaling
• REST vs gRPC vs WebSockets
• Sharding & Replication
• Cache Strategies (Redis, CDN)
• Message Queues (Kafka, RabbitMQ)
• Databases (SQL, NoSQL, NewSQL)
• Load Balancers, Reverse Proxies, CDN
• Design for High Availability (HA) & Consistency

💼 Optional Design Problems (Pick One or Two)

• Design a URL Shortener (Bit.ly)
• Design a News Feed (Facebook/Twitter)
• Design an API Rate Limiter
• Design a Scalable Chat System
• Design a Video Streaming Platform
• Design Google Docs (collaborative editing)
• Design Uber or Zomato backend

💡 What You’ll Walk Away With

• A clear mental framework to solve System Design questions
• Real-world architecture patterns and examples
• Confidence to discuss trade-offs in interviews or with engineers
• Optional homework to continue practice

🕓 Duration

45 mins (1:1 video mentoring via Zoom or Google Meet)