A smart grid utility operator runs complex grid-reliability simulations once a week. This process requires a large amount of compute capacity for a 6-hour window, but the infrastructure remains completely idle for the rest of the week. Currently, the company maintains an on-premises data center sized to handle this peak load, incurring high upfront costs, virtualization licensing, power, and cooling fees. Which of the following best describes the primary economic driver and financial shift of migrating this simulation workload to AWS?
- Transitioning from capital expenses (CapEx) to operating expenses (OpEx), allowing the company to leverage AWS elasticity and pay only for compute resources during the active simulation window.Cevap
- BEliminating all operating expenses (OpEx) by converting ongoing maintenance and utility fees into upfront capital expenses (CapEx) using AWS enterprise agreements.
- CImproving resource scalability by pre-provisioning a static fleet of EC2 instances sized for peak performance, ensuring that maximum compute power is permanently online.
- DMinimizing the total cost of ownership by deploying the simulations on On-Demand instances while purchasing a 3-year Spot Instance commitment to cover the idle periods.
Cevap
Transitioning from capital expenses (CapEx) to operating expenses (OpEx), allowing the company to leverage AWS elasticity and pay only for compute resources during the active simulation window.
Transitioning from capital expenses (CapEx) to operating expenses (OpEx) is a core benefit of AWS. By leveraging AWS elasticity, the utility only incurs costs when the simulations run, eliminating the overhead of idle infrastructure.
Adım Adım Çözüm
Anahtar Kavram
Concepts of Cloud Economics (CapEx vs OpEx and Elasticity)