Load Balancer Performance
Algorithm Performance
| Algorithm | Best For |
|---|---|
| Round Robin | Equal capacity servers |
| Least Connections | Varying request times |
| IP Hash | Session stickiness |
| Weighted | Different capacity servers |
Key Points
- Understanding Load Balancing Performance 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
Performance Optimization
Areas
- Database: Indexes, queries, connection pooling
- Caching: Multi-level, appropriate TTL
- Network: Compression, CDN, HTTP/2
- Code: Profiling, async, batch
Measurement
- Load testing
- Profiling
- APM tools
- Real user monitoring
Best Practices
- Set performance budgets
- Monitor in production
- Optimize hot paths
- Use appropriate data structures
Key Points
- Understanding Load Balancing Performance 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
Identify and handle edge cases for Load Balancing Performance. 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 Load Balancing Performance. 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. Least Connections is best for?
2. When should you use Weighted load balancing?
3. What is a common mistake when implementing Load Balancing Performance?
Flashcards
Question
Least Connections?
Click to reveal answer
Answer
Route to server with fewest connections
Question
When to use IP Hash?
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Answer
When you need session stickiness — same client always hits the same server
Question
Load Balancing Performance 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. Choose algorithm based on workload
- 2. Least Connections for varying request times
- 3. Monitor: connection count, response time
Interview Tips
- • Choose load balancing algorithm
- • Monitor metrics
Cheat Sheet
Load Balancing
- Round Robin: equal capacity
- Least Connections: varying durations
- Weighted: different capacity
- Monitor: connections, response time