The IT department of a retail company is preparing for a promotion that is expected to double the online store's traffic. To maintain their application's responsiveness during the increase in workload without manual intervention, which solution should the IT team employ?
Manually resize the current compute instances to the maximum expected capacity before the promotion starts.
Set up a traffic distribution mechanism to ensure even load across the servers currently in operation.
Deploy a service to automatically manage the quantity of compute instances according to the real-time demand.
Configure an initial template to spawn additional instances when thresholds are exceeded.
The correct solution for handling spontaneous changes in demand without manual intervention is the use of a scaling service that automatically adjusts the capacity of compute resources. The service designed to monitor application performance and maintain the desired level of performance at the lowest possible cost by automatically scaling compute resources is known as Auto Scaling. While launch configurations and increasing instances' size are both related to the provisioning of compute resources, they do not offer the dynamic scaling needed for automatic adjustments during varying load levels. Load balancers distribute workloads, but do not scale resources up or down.
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