Modern software applications need load balancing as an essential component when they expand across distributed systems and containerized environments and microservices architecture. The application system provides consistent user service through load balancing even when traffic increases or servers become unavailable. Different load balancing strategies demonstrate varying levels of quality. The selection of a suitable load balancing strategy depends on understanding system behavior during high loads and determining acceptable tradeoffs.
This analysis examines the primary load balancing algorithms which divide into static and dynamic categories and examines the advantages and disadvantages of each approach together with recommendations for their appropriate deployment scenarios.