Caching Design
Cache Headers
Cache-Control: max-age=3600
ETag: "abc123"
Last-Modified: Wed, 15 Jan 2025 10:30:00 GMT
Caching Strategy
| Endpoint | Cache |
|---|---|
| GET /products | 5 min |
| GET /products/123 | 1 hour |
| POST /orders | No cache |
| GET /config | 24 hours |
Key Points
- Understanding API Design: Caching is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
API Best Practices
Design Principles
- Use nouns, not verbs
- Plural resource names
- Consistent naming conventions
- Proper HTTP status codes
Versioning
- URI versioning (/v1/resource)
- Header versioning
- Deprecation policy
Documentation
- OpenAPI/Swagger specs
- Request/Response examples
- Error code documentation
- Rate limit documentation
Key Points
- Understanding API Design: Caching is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Practice Problems
Design and implement a solution for API Design: Caching in a backend system. Consider scalability, error handling, and production readiness.
Solution
// API Design: Caching implementation
// Key aspects: validation, error handling, logging, testing
public class APIDesignCaching {
// Production-ready implementation
}Identify and handle edge cases for API Design: Caching. 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, idempotencyWrite a testing strategy for API Design: Caching. Include unit tests, integration tests, and performance tests.
Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injectionQuiz
1. Cache-Control: max-age=3600 means?
2. POST endpoints should be?
3. What is the primary purpose of API Design: Caching?
4. What is a common mistake when implementing API Design: Caching?
Flashcards
Question
max-age=3600?
Click to reveal answer
Answer
Cache for 1 hour
Question
POST caching?
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Answer
Not cached (only GET)
Question
What is API Design: Caching?
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Answer
API Design: Caching is a key concept in backend development.
Question
When to use API Design: Caching?
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Answer
Use API Design: Caching when building production systems that require reliability, scalability, and maintainability.
Question
API Design: Caching best practices
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Answer
Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.
Revision Notes
Key Takeaways
- 1.Use Cache-Control, ETag, Last-Modified
- 2.GET endpoints: cache with appropriate TTL
- 3.POST/PUT/DELETE: no cache
- 4.ETag for conditional requests
Interview Tips
- •Design caching strategy
- •Use cache headers
Cheat Sheet
Caching
- Headers: Cache-Control, ETag, Last-Modified
- GET: cache with TTL
- POST/PUT/DELETE: no cache
- ETag: conditional requests