A firm responsible for ticket sales notices its local web servers are unable to handle the traffic, which often causes timeout errors and results in lost revenue. The firm wants to obtain additional…

Purchasing double the amount of resources from a CSP is not cost-efficient and directly contradicts the budget constraint of purchasing only the exact amount required during peak times.

Analyzing web server performance trends is a necessary preliminary step to understand demand patterns but does not, by itself, solve the problem of dynamically obtaining resources or meet the budget requirement for elastic scaling.

Cloud bursting allows an application to dynamically scale out from an on-premises data center to a public cloud when demand exceeds local capacity. This model is ideal for handling unpredictable peak loads because it enables the firm to automatically provision and use additional cloud-based server resources only when needed, paying only for the exact amount consumed during those peak times, which aligns perfectly with budget constraints and avoids over-provisioning.

Running a network analyzer to monitor web server traffic helps identify peak times but does not provide a solution for dynamically acquiring and paying for cloud resources during those peaks, nor does it address the scaling mechanism itself.