Load Balancing
Load balancing is the process of distributing network traffic and workload across multiple servers to ensure no single server is overwhelmed, improving performance and reliability.
In Depth
Load balancers are critical infrastructure components that sit between incoming requests and backend servers. They use algorithms (round-robin, least connections, IP hash, weighted distribution) to route each request to the most appropriate server. For AI-powered customer support, load balancing operates at multiple levels: distributing incoming conversations across AI processing nodes, balancing API calls to integrated systems, and routing voice calls across telephony infrastructure.
Advanced load balancers also perform health checking (detecting and removing unhealthy servers), SSL termination (handling encryption/decryption), and session persistence (ensuring a customer's conversation stays on the same server). AI can even be applied to load balancing itself — using machine learning to predict load patterns and pre-scale resources before demand spikes arrive.
Related Terms
Scalability
Scalability is the ability of a system to handle increased workload by adding resources, either by upgrading existing hardware (vertical) or adding more machines (horizontal).
Availability
Availability is the ability of a system to be operational and accessible when needed, encompassing uptime, performance, and the capacity to handle expected workloads.
Failover
Failover is the automatic switching to a backup system, server, or network when the primary system fails, ensuring continuous service availability.
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