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Azure Load Balancer is a cloud service that distributes incoming network traffic across backend virtual machines (VMs) or virtual machine scale sets (VMSS). This article explains Azure Load Balancer's key features, architecture, and scenarios, helping you decide if it fits your organization's load balancing needs for scalable, highly available workloads. Load balancing refers to efficiently distributing incoming network traffic across a group of backend virtual machines (VMs) or virtual ... Diagram illustrating user requests to an Elasticsearch cluster being distributed by a load balancer. (Example for Wikipedia.) In computing, load balancing is the process of distributing a set of tasks over a set of resources (computing units), with the aim of making their overall processing more efficient. Load balancing can optimize response time and avoid unevenly overloading some compute nodes while other compute nodes are left idle. Load balancing is the subject of research in the field ... Load Balancers distribute incoming network traffic across multiple servers to ensure optimal resource utilization, minimize response time, and prevent server overload. When it comes to load balancing, three primary types exist : software load balancers, hardware load balancers, and virtual load balancers. Types of Load Balancer - Based on Configurations These load balancers are categorized according to how they are set up and managed in a system. They define whether traffic distribution is ... Load balancing is the method of distributing network traffic equally across a pool of resources that support an application. Modern applications must process millions of users simultaneously and return the correct text, videos, images, and other data to each user in a fast and reliable manner. To handle such high volumes of traffic, most applications have many resource servers with duplicate data between them. A load balancer is a device that sits between the user and the server group and ...