Skip to content
advancedPhase ·

URL Shortener Backend

Build a URL shortener with hashing, redirects, and analytics.

1h 30m
0 problems
Topic Progress0%

URL Shortener

Design

POST /shorten { longUrl } → { shortUrl }
GET /:code → Redirect to longUrl

Key Decisions

Decision Choice
Code generation Base62 encoding
Storage DB (SQL for relationships)
Cache Redis for hot URLs
Analytics Async to message queue

Key Points

  • Understanding Case Study: URL Shortener is essential for production systems
  • Always consider scalability and maintainability
  • Test thoroughly before deploying to production
  • Monitor performance and set up alerting

Common Patterns

  1. Validation: Always validate input at the boundary
  2. Error Handling: Use structured error responses
  3. Logging: Log key events for debugging
  4. Testing: Unit, integration, and load tests
  5. Documentation: Keep docs updated with code changes

Best Practices

Key Principles

  1. Follow SOLID principles
  2. Write clean, readable code
  3. Test thoroughly
  4. Document decisions
  5. Monitor in production

Implementation

  • Start simple, refactor as needed
  • Use established patterns
  • Consider trade-offs
  • Review with peers

Continuous Improvement

  • Learn from incidents
  • Update documentation
  • Share knowledge
  • Mentor others

Key Points

  • Understanding Case Study: URL Shortener is essential for production systems
  • Always consider scalability and maintainability
  • Test thoroughly before deploying to production
  • Monitor performance and set up alerting

Common Patterns

  1. Validation: Always validate input at the boundary
  2. Error Handling: Use structured error responses
  3. Logging: Log key events for debugging
  4. Testing: Unit, integration, and load tests
  5. Documentation: Keep docs updated with code changes

Practice Problems

0/3solved
Implement Case Study: URL Shortener

Design and implement a solution for Case Study: URL Shortener in a backend system. Consider scalability, error handling, and production readiness.

Solution
// Case Study: URL Shortener implementation
// Key aspects: validation, error handling, logging, testing

public class CaseStudyURLShortener {
    // Production-ready implementation
}
Case Study: URL Shortener Edge Cases

Identify and handle edge cases for Case Study: URL Shortener. What happens under high load, with invalid input, or during failures?

Solution
// Edge case handling:
// 1. Null/empty input -> validation
// 2. High load -> rate limiting, queuing
// 3. Failures -> retries, circuit breaker
// 4. Concurrent access -> locks, idempotency
Case Study: URL Shortener Testing Strategy

Write a testing strategy for Case Study: URL Shortener. Include unit tests, integration tests, and performance tests.

Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injection

Quiz

1. Short code generation uses?

Question 1 options

2. Hot URLs cached in?

Question 2 options

3. What is the primary purpose of Case Study: URL Shortener?

Question 3 options

4. What is a common mistake when implementing Case Study: URL Shortener?

Question 4 options

Flashcards

Question

Code generation?

Answer

Base62 encoding

Question

Hot URLs cached?

Answer

Redis

Question

What is Case Study: URL Shortener?

Answer

Case Study: URL Shortener is a key concept in backend development.

Question

When to use Case Study: URL Shortener?

Answer

Use Case Study: URL Shortener when building production systems that require reliability, scalability, and maintainability.

Question

Case Study: URL Shortener best practices

Answer

Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.

Revision Notes

Key Takeaways

  • 1.Base62 for short codes
  • 2.SQL for URL-user relationships
  • 3.Redis for hot URLs
  • 4.Async analytics via MQ

Interview Tips

  • Design complete system
  • Handle scale and performance

Cheat Sheet

URL Shortener

  • Code: Base62 (short, readable)
  • Storage: SQL (relationships)
  • Cache: Redis (hot URLs)
  • Analytics: async via MQ