Description: Rate-based scaling is a resource management method in cloud computing platforms that allows for automatic adjustment of processing capacity for functions based on the rate of incoming requests. This approach is essential for ensuring that applications can handle variations in workload without compromising performance. When there is an increase in the number of requests, the system can automatically scale the number of function instances to meet demand, allowing for efficient and rapid processing. This type of scaling is particularly useful in environments where workloads are unpredictable or fluctuating, such as in web applications, real-time data processing, and backend services. The ability to scale based on request rate also helps optimize costs, as users only pay for the execution time and resources used during request processing. In summary, rate-based scaling is a key feature that enables developers to build highly scalable and efficient applications, adapting to the changing needs of user traffic.
