What scaling method allows the addition of multiple servers to handle increased demand?

The chosen answer refers to horizontal scaling, which is the practice of adding more servers to a system to distribute the workload among them. This method is often used in cloud computing environments and offers significant advantages for handling increased demand.

Horizontal scaling improves the system's capacity by spreading the workload across multiple machines, which can enhance performance and reliability. When demand increases, additional servers can be quickly provisioned to share the load, allowing the system to maintain performance without requiring a complete overhaul of the existing architecture. It is particularly beneficial in environments where applications can be easily distributed across multiple instances, such as web services or microservices.

In contrast, vertical scaling involves adding more power to a single server (like increasing RAM or CPU capacity), which eventually hits a limit and can lead to a single point of failure. Diagonal scaling combines aspects of both horizontal and vertical scaling but is less commonly referenced compared to the others. Limitless scaling is not a standard term in scaling practices and does not effectively describe a method for increasing capacity in response to demand.