Compare Alibaba Cloud Server Load Balancer (SLB) vs. Tencent Cloud Load Balancer in 2025

Alibaba Cloud Server Load Balancer (SLB)

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Description

The Server Load Balancer (SLB) offers robust disaster recovery mechanisms across four tiers to maintain high availability. Both the Classic Load Balancer (CLB) and Application Load Balancer (ALB) come with integrated Anti-DDoS features to safeguard business operations. Additionally, ALB can be easily linked with a Web Application Firewall (WAF) via the console to enhance application-layer security. Both ALB and CLB are compatible with cloud-native architectures. ALB not only interfaces with other cloud-native solutions like Container Service for Kubernetes (ACK), Serverless App Engine (SAE), and Kubernetes but also serves as a cloud-native gateway that effectively directs incoming network traffic. Regular monitoring of backend server health is a key function, preventing SLB from routing traffic to any unhealthy servers to maintain availability. Moreover, SLB supports clustered deployments and session synchronization, allowing for seamless hot upgrades while continuously tracking machine health and performance. It also provides multi-zone deployment options in certain regions, enabling effective zone-disaster recovery strategies. This comprehensive approach ensures that applications remain resilient and responsive under various circumstances.

Description

A CLB cluster is made up of four physical servers, achieving a remarkable availability rate of up to 99.95%. Even in scenarios where only a single CLB instance remains operational, it is capable of handling more than 30 million concurrent connections. The system is designed to swiftly eliminate any malfunctioning instances while retaining healthy ones, ensuring the backend server's continuous functionality. Additionally, the CLB cluster can flexibly scale the service capacity of the application in response to business demand, automatically generating and releasing CVM instances via the Auto Scaling dynamic scaling group. Complementing these capabilities is a dynamic monitoring system along with a billing mechanism that tracks usage down to the second, alleviating the need for manual resource management or forecasting. This streamlined process not only optimizes resource allocation but also significantly reduces the potential for waste, allowing businesses to focus on growth rather than infrastructure management. Ultimately, the combination of these advanced features promotes a more efficient and responsive computing environment.