A retail corporation is planning to migrate its transaction processing database to AWS. Currently, the database runs on on-premises proprietary servers that must be replaced every years at a high upfront cost. The servers are sized to handle peak traffic during holiday sales, meaning they run at less than utilization for the remainder of the year. Which of the following actions best demonstrates how the company can leverage AWS cloud economics to resolve their capacity utilization and hardware funding challenges?
- APurchasing dedicated physical host servers on AWS upfront and depreciating them over a three-year period to maintain a consistent capital asset structure on their balance sheet.
- BProvisioning fixed-size cloud database instances sized to the maximum peak holiday capacity to ensure application reliability, while utilizing upfront payment options for all storage volume demands.
- Adopting a pay-as-you-go model with auto-scaling resources that match database capacity to real-time consumer demand, thereby shifting hardware costs to variable operating expenses.Answer
- DRunning the database workloads on Spot Instances to achieve maximum cost savings, accepting that the database instances can be terminated without notice during peak holiday transactions.
Answer
Adopting a pay-as-you-go model with auto-scaling resources that match database capacity to real-time consumer demand, thereby shifting hardware costs to variable operating expenses.
Adopting a pay-as-you-go model with auto-scaling database resources allows the company to pay only for the capacity they use, transitioning their high upfront physical hardware costs into variable operating expenses (OpEx) while automatically scaling down during off-peak times.
Step-by-Step Solution
Key Concept
Understand concepts of cloud economics