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Cloud & DevOps

Load balancing is the process of distributing incoming network traffic across multiple servers or instances to prevent any single server from becoming a bottleneck, improving application availability, throughput, and fault tolerance.

A load balancer sits between clients and the pool of backend servers, forwarding each incoming request to a server according to an algorithm — round-robin distributes requests sequentially, least-connections sends traffic to the least busy server, and IP hash pins a client to a consistent server for session stickiness. Beyond distributing traffic, load balancers perform health checks on backend instances, automatically removing unhealthy servers from rotation so traffic is only sent to healthy endpoints — enabling zero-downtime deployments and seamless recovery from server failures. Application-layer load balancers (Layer 7) can make routing decisions based on URL path, HTTP headers, or cookies, enabling sophisticated patterns like routing /api requests to a different server pool than /static requests. Cloud providers offer managed load balancers (AWS ALB, GCP Cloud Load Balancing, Azure Application Gateway) that integrate with auto-scaling groups to handle variable traffic without manual capacity management.

Example

An e-commerce site receives 50,000 concurrent users during a Diwali sale; the AWS Application Load Balancer distributes requests across 40 EC2 instances, with auto-scaling adding 20 more instances when CPU exceeds 70%.

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