##  [Load Balancing](/load-balancing-0) 

 Definition

The process of distributing computational tasks, connections, or requests across multiple servers or resources to improve throughput, reduce response time, and increase availability and resource utilization.

 

 

 

 

 

 





## Principle

Principle

Assign work to resources using policies (round-robin, least-connections, weighted, consistent hashing, metric-driven) that account for resource capacity, state, and policy goals (latency, fairness, affinity).

 

 

 

 

 





## Demonstration

Demonstration

A load balancer routes incoming HTTP requests among a pool of web servers using least-connections while health checks remove unresponsive servers; consistent hashing assigns cache keys to backend nodes minimizing remapping when nodes join or leave.

 

 

 

 

## Misapplication

Misapplication

Using simple round-robin without accounting for server heterogeneity or sticky sessions that force many requests to one server, causing hotspots and degraded performance; ignoring health leads to routing to failed nodes.

 

 

 

 

 





## Consequence

Consequence

Proper load balancing increases throughput, lowers tail latency, and improves fault tolerance; it enables elastic scaling and maintenance without service interruption when combined with health and capacity awareness.

 

 

 

 

## Reversal

Reversal

Concentrating all requests on a single server or evenly distributing without regard to capacity can create bottlenecks and single points of failure, reducing overall system throughput and resilience.

 

 

 

 

 





## Boundary

Boundary

Applies to distributing requests and tasks across multiple computational or network resources; does not automatically perform autoscaling, scheduling for long-running batch jobs, or application-level consistency management.

 

 

 

 

 





## Semantic Tension

Semantic Tension

Overlaps with scheduling and autoscaling: schedulers optimize resource assignment over time and autoscaling changes capacity; load balancing focuses on runtime routing and distribution to existing resources.

 

 

 

 

 





## Synthesis

Synthesis

Load balancing is the runtime decision process that maps incoming work to available resources using routing policies and health/metric feedback to optimize utilization, latency, and availability.