Auth Architecture
Auth Service Pattern
Client → API Gateway → Auth Service (validates token)
→ Backend Service (trusted)
Token Validation
1. Client sends request with JWT
2. API Gateway / Auth middleware validates JWT
3. If valid, forwards to service with user context
4. Service trusts the gateway/auth layer
Distributed Auth
- Auth service issues tokens
- All services validate tokens locally (no shared DB)
- Use symmetric or asymmetric keys
Key Points
- Understanding Authentication Architecture 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
Security Best Practices
- Password Storage: Use bcrypt/scrypt with salt
- Token Management: Short-lived access tokens (15-30 min)
- HTTPS: Enforce TLS everywhere
- Rate Limiting: Prevent brute force attacks
- Input Validation: Never trust user input
Implementation Checklist
- Hash passwords with bcrypt (cost factor 12+)
- Implement token refresh flow
- Add CSRF protection
- Log authentication events
- Use secure session management
Key Points
- Understanding Authentication Architecture 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 Authentication Architecture in a backend system. Consider scalability, error handling, and production readiness.
Solution
// Authentication Architecture implementation
// Key aspects: validation, error handling, logging, testing
public class AuthenticationArchitecture {
// Production-ready implementation
} Identify and handle edge cases for Authentication Architecture. 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 Write a testing strategy for Authentication Architecture. 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. In distributed systems, who validates tokens?
2. Auth service pattern uses?
3. What is a common mistake when implementing Authentication Architecture?
Flashcards
Question
Token validation in distributed?
Click to reveal answer
Answer
Each service validates locally
Question
Auth pattern?
Click to reveal answer
Answer
Gateway + Auth service
Question
Authentication Architecture best practices
Click to reveal answer
Answer
Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.
Revision Notes
Key Takeaways
- 1. Auth service issues tokens
- 2. Services validate locally
- 3. Use API Gateway for centralized validation
- 4. Symmetric or asymmetric key signing
Interview Tips
- • Design auth architecture
- • Handle distributed auth
Cheat Sheet
Auth Architecture
- Auth service issues tokens
- Services validate locally
- API Gateway for centralized validation
- Keys: symmetric or asymmetric