Server Side Load Balancing vs Client-Side Load Balancing

Developers should learn and implement server side load balancing when building scalable web applications, APIs, or microservices that experience high traffic volumes or require fault tolerance meets developers should learn and use client-side load balancing when building distributed systems, especially microservices, to enhance fault tolerance and reduce latency by avoiding an extra hop to a central load balancer. Here's our take.

Server Side Load Balancing

Nice Pick

Developers should learn and implement server side load balancing when building scalable web applications, APIs, or microservices that experience high traffic volumes or require fault tolerance

Pros

• It is essential for distributing workloads in cloud environments, handling traffic spikes during events like product launches, and maintaining uptime in production systems
• Related to: reverse-proxy, high-availability

Cons

• Specific tradeoffs depend on your use case

Client-Side Load Balancing

Developers should learn and use client-side load balancing when building distributed systems, especially microservices, to enhance fault tolerance and reduce latency by avoiding an extra hop to a central load balancer

Pros

• It is particularly useful in cloud-native environments with dynamic service discovery (e
• Related to: microservices, service-discovery

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Server Side Load Balancing if: You want it is essential for distributing workloads in cloud environments, handling traffic spikes during events like product launches, and maintaining uptime in production systems and can live with specific tradeoffs depend on your use case.

Use Client-Side Load Balancing if: You prioritize it is particularly useful in cloud-native environments with dynamic service discovery (e over what Server Side Load Balancing offers.

The Bottom Line

Server Side Load Balancing wins

Developers should learn and implement server side load balancing when building scalable web applications, APIs, or microservices that experience high traffic volumes or require fault tolerance