System Design Cases10 lessons22 quiz questions

Design: Ride-Sharing Service (Uber/Lyft)

10-session plan covering geospatial indexing, matching, real-time tracking, and surge pricing.

What You Will Learn

  • Requirements & Core Flow
  • Geospatial Indexing
  • Driver Location Pipeline
  • Driver Matching Algorithm
  • ETA Calculation
  • Real-Time Tracking (WebSocket)
  • Surge Pricing
  • Data Model & Trip State Machine
  • Edge Cases & Failure Handling
  • Mock Interview

Overview

10-session plan covering geospatial indexing, matching, real-time tracking, and surge pricing. Design: Ride-Sharing Service (Uber/Lyft): Requirements & Scope Functional Requirements Before designing anything, clarify what the system needs to do: Core features — What are the must-have features? User types — Who uses the system? End users, admins, API consumers? Scale — How many users? What's the read/write ratio? Non-Functional Requirements Availability: 99.9% (8.7 hours downtime/year) or 99.99%? Latency: < 100ms for reads? < 500ms for writes? Consistency: Strong or eventual? CAP trade-off? Durability: Can we lose data? How much? Clarifying Questions to Ask What's the expected DAU (Daily Active Users)? What's the read-to-write ratio? Do we need real-time updates? What's our budget constraint? What geography do we serve? Interview Tip "I always spend the first 5 minutes clarifying requirements. This shows structured thinking and prevents designing the wrong system. I explicitly separate functional from non-functional requirements." Java Implementation Python Implementation

Sample Quiz Questions

1. Why is Euclidean (straight-line) distance insufficient for ETA calculation in a ride-sharing app?

·Difficulty: easy/5

2. Why must neighboring geohash cells also be queried when searching for nearby drivers?

·Difficulty: medium/5

3. A driver's phone GPS has a 30-second outage. What happens to ongoing trip tracking?

·Difficulty: hard/5

+ 19 more questions available in the full app.

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