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Zorluk: ZorUnderstand concepts of cloud economics

A digital publishing company is planning to migrate its content archive and seasonal traffic analytics systems from an on-premises data center to the AWS Cloud. The systems experience predictable, low baseline activity throughout the month, except for a 4848-hour window at the end of each month when monthly reports are generated and traffic spikes by 400%400\%. The company's goal is to minimize total cost of ownership (TCO) while ensuring performance during peak periods.

Which of the following strategies represent direct applications of AWS cloud economics to achieve these goals? (Select TWO.)

  1. Implementing auto-scaling policies that dynamically provision compute capacity for the 4848-hour reporting spike and terminate the extra resources immediately afterward.Cevap
  2. Converting upfront physical server acquisition costs into variable operating expenses, paying only for the compute runtime actually consumed.Cevap
  3. C
    Purchasing 33-year Reserved Instances to cover the entire peak capacity required during the monthly 4848-hour reporting spikes.
  4. D
    Permanently over-provisioning a fleet of EC2 instances to handle the peak traffic load, utilizing scalability to ensure zero downtime.
  5. E
    Deploying the entire application stack as a tightly coupled monolithic architecture on a single high-performance instance to eliminate network transfer fees.

Cevap

The correct strategies are implementing auto-scaling policies to dynamically provision capacity during peak spikes, and converting upfront capital expenditures into variable operating expenses.
Implementing auto-scaling policies to dynamically provision capacity during peak spikes allows the company to pay only for the resource runtime they actually use, which leverages cloud elasticity. Converting upfront physical server acquisition costs into variable operating expenses shifts the financial risk from a capital expense model to an operational expense model, aligning costs directly with business demand.

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1
Analyze the workload characteristics and financial goals described in the scenario.
The workload has a low baseline with a predictable 4848-hour spike (400%400\% increase), and the goal is to optimize costs and minimize TCO.
Understanding the workload pattern is necessary to match it with the correct economic and operational strategies in AWS.
2
Evaluate the financial shifts associated with cloud migration.
Transitioning from purchasing physical hardware (CapEx) to paying for runtime hourly/secondly (OpEx) matches the goal of variable cost optimization.
Cloud economics favors trading capital expenses for variable operating expenses to increase financial agility.
3
Evaluate the technical scaling strategies for transient spikes.
Applying elasticity (scaling up and down dynamically) fits the 4848-hour spike, whereas permanent provisioning or long-term Reserved Instances for peak capacity are financially inefficient.
Elasticity prevents paying for idle resources, which directly reduces TCO compared to on-premises over-provisioning.

Anahtar Kavram

AWS Cloud Economics: CapEx to OpEx shift and the financial benefit of elasticity
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