🎉 Load Balancing Tutorial
Load balancing is a critical technique for improving system performance and ensuring high availability in distributed applications. By distributing traffic across multiple servers, it prevents overload, enhances reliability, and optimizes resource utilization.
🌐 Key Concepts
What is Load Balancing?
A method to spread incoming network traffic across backend servers to maximize efficiency and minimize downtime.Common Algorithms
- Round-Robin (轮询)
- Least Connections (最少连接)
- IP Hash (IP哈希)
- Weighted Round-Robin (加权轮询)
Benefits
- 🚀 Improved Scalability
- 🛡 Enhanced Fault Tolerance
- 📈 Optimized Resource Utilization
- 🌐 Global Traffic Distribution
🧰 Implementation Tools
- Nginx (https://cloud-image.ullrai.com/q/Nginx_Configuration/)
- HAProxy (https://cloud-image.ullrai.com/q/HAProxy_Interface/)
- AWS Elastic Load Balancer (https://cloud-image.ullrai.com/q/AWS_Load_Balancer/)
📚 Best Practices
- Monitor server health with tools like Prometheus or Grafana.
- Use sticky sessions for stateful applications (if needed).
- Implement SSL termination at the load balancer for encryption.
- Test failover scenarios regularly.
For deeper insights into performance optimization, check our guide on High Availability (https://cloud-image.ullrai.com/q/High_Availability/).
🌐 Further Reading
Let me know if you'd like a code snippet or diagram for a specific setup! 😊