Interview Prep

System Design

• Design a distributed rate limiter for an API gateway handling 100,000 requests per second
  SystemDesign Frequent system design rate limiting Redis
• Design an event-sourced order management system for an e-commerce platform
  SystemDesign Occasional system design event sourcing DDD
• Design a URL shortener service (high availability, 100M URLs, 10k reads/sec)
  SystemDesign Very frequent C# system design URL shortener
• Explain the CAP theorem and how it applies to distributed .NET services
  Concepts Frequent C# CAP theorem distributed systems
• Describe how you would approach a high-stakes technical decision with significant uncertainty
  Behavioural Frequent C# architecture ADR