Design Patterns & Architecture
Monolith vs Microservices
| Aspect | Monolith | Microservices |
|---|---|---|
| Deployment | Single unit | Independent |
| Scaling | Scale entire app | Scale individual |
| Complexity | Simple start | Complex but flexible |
When to choose microservices:
- Multiple teams, independent deployment
- Different scaling needs
- Clear domain boundaries
Saga Pattern
Distributed transaction without 2PC:
- Each service performs local transaction
- Publishes event on success
- Next service consumes event
- If fail, compensating actions undo previous
Two types: Choreography (events) vs Orchestration (coordinator)
CQRS
Command Query Responsibility Segregation:
- Separate read and write models
- Write: consistency optimized
- Read: query performance optimized
Distributed Systems
CAP Theorem
Pick 2: Consistency, Availability, Partition tolerance
In practice: partition tolerance required, choose CP or AP
Resilience Patterns
Circuit Breaker: Prevent cascade failures
- Closed: normal, Open: failing, Half-Open: testing
Bulkhead: Isolate failures (separate thread pools)
Retry with Backoff: exponential delay (1s, 2s, 4s)
System Design Framework
- Clarify requirements
- Estimate scale (QPS, storage)
- High-level architecture
- APIs and data model
- Deep dive key components
- Tradeoffs and alternatives
Practice Problems
Design and implement a solution for Backend Architecture Questions in a backend system. Consider scalability, error handling, and production readiness.
Solution
// Backend Architecture Questions implementation
// Key aspects: validation, error handling, logging, testing
public class BackendArchitectureQuestions {
// Production-ready implementation
}Identify and handle edge cases for Backend Architecture Questions. 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 Backend Architecture Questions. 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. When choose microservices?
2. Circuit Breaker prevents?
3. What is the primary purpose of Backend Architecture Questions?
4. What is a common mistake when implementing Backend Architecture Questions?
Flashcards
Question
Monolith vs Microservices?
Click to reveal answer
Answer
Monolith: simple. Micro: independent scaling/deployment
Question
What is CQRS?
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Answer
Separate read and write models for optimization
Question
What is Backend Architecture Questions?
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Answer
Backend Architecture Questions is a key concept in backend development.
Question
When to use Backend Architecture Questions?
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Answer
Use Backend Architecture Questions when building production systems that require reliability, scalability, and maintainability.
Question
Backend Architecture Questions 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.Microservices for independent deployment
- 2.Saga for distributed transactions without 2PC
- 3.CQRS separates read/write models
- 4.Know CAP theorem and resilience patterns
Interview Tips
- •Use structured framework for system design
- •Discuss tradeoffs in every decision
- •Be ready to deep dive into any component
Cheat Sheet
Architecture Interview
- Monolith vs Micro: Monolith=simple, Micro=independent
- Saga: Distributed transactions without 2PC
- CQRS: Separate read/write models
- CAP: Consistency, Availability, Partition (pick 2)
- Patterns: Circuit Breaker, Bulkhead, Retry
- Framework: Requirements -> Scale -> Architecture -> Deep Dive