Compression
Compression Benefits
Without: 1MB JSON response → 1MB transfer
With gzip: 1MB → ~200KB (80% reduction)
Enable in Spring Boot
server.compression.enabled=true
server.compression.mime-types=application/json,text/html
server.compression.min-response-size=1024
Nginx Compression
gzip on;
gzip_types application/json text/html;
Key Points
- Understanding Compression 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
Best Practices
Key Principles
- Follow SOLID principles
- Write clean, readable code
- Test thoroughly
- Document decisions
- 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 Compression 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 Compression in a backend system. Consider scalability, error handling, and production readiness.
Solution
// Compression implementation
// Key aspects: validation, error handling, logging, testing
public class Compression {
// Production-ready implementation
}Identify and handle edge cases for Compression. 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 Compression. 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. Compression reduces?
2. Typical JSON compression ratio?
3. What is the primary purpose of Compression?
4. What is a common mistake when implementing Compression?
Flashcards
Question
Compression reduces?
Click to reveal answer
Answer
Response body size
Question
JSON compression ratio?
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Answer
70-80% with gzip
Question
What is Compression?
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Answer
Compression is a key concept in backend development.
Question
When to use Compression?
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Answer
Use Compression when building production systems that require reliability, scalability, and maintainability.
Question
Compression 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.Compression reduces response size by 70-80%
- 2.Enable in Spring Boot or Nginx
- 3.Compress JSON, HTML, CSS, JS
- 4.Trade: small CPU cost for large bandwidth savings
Interview Tips
- •Enable compression
- •Measure benefits
Cheat Sheet
Compression
- Reduces response size 70-80%
- Enable: server.compression.enabled=true
- Trade: small CPU cost
- Compress: JSON, HTML, CSS, JS