Mini Design Breakdowns Medium Flashcards
Design Ticketmaster
Key Components
Inventory & Pricing Management → Track seat availability dynamically
Scalability for High Traffic → Handle sudden demand spikes
Fraud Prevention → Detect scalping and bot activity
🔍 Deep Dives
How do you prevent ticket bots? → CAPTCHA, rate limiting, user fingerprinting
How do you handle high-traffic events (e.g., Super Bowl)? → Pre-distribute traffic across edge servers
Design Uber (Ride-Hailing)
Real-Time Driver Matching → Find the closest driver for a ride request
Dynamic Pricing (Surge Pricing) →Adjust fares based on demand
Navigation & ETA Prediction → Compute estimated arrival times
How do you optimize driver allocation? → Use greedy bipartite matching
How do you detect and prevent fake rides? → Behavioral anomaly detection
Design Tinder (Dating App)
Key Components
Matching Algorithm → Recommend users based on preferences
Real-Time Messaging → Enable instant chat after a match
Profile Ranking → Boost popular profiles dynamically
🔍 Deep Dives
How do you ensure fair matching? → Adjust ranking based on swipes
How do you prevent spam & harassment? → Implement AI-based moderation
