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Zorluk: Çok zorUnderstand concepts of cloud economics

A multi-national retail corporation plans to migrate its inventory analysis system to AWS. The current on-premises system runs on a cluster of physical servers that cost 120,000topurchase(depreciatedover3years)plus120,000 to purchase (depreciated over 3 years) plus 3,000 monthly for datacenter space and power. The database utilization spikes heavily during seasonal sales events (about 15 days a year) but is minimal otherwise. To maximize the Total Cost of Ownership (TCO) reduction and leverage cloud economics, which strategy should the financial team approve?

  1. A
    Increase capital expenditures (CapEx) by purchasing 3-year Dedicated Hosts upfront to ensure baseline and peak capacity are fully reserved, thereby reducing operational expenditures (OpEx) through long-term volume discounts.
  2. Transition to a variable operating expense (OpEx) model by using AWS Auto Scaling to dynamically match compute capacity with peak demand, combined with Savings Plans for the predictable baseline workload, minimizing overall Total Cost of Ownership (TCO).Cevap
  3. C
    Deploy the inventory system on a fixed cluster of instances sized for peak performance, relying on AWS to automatically refund the cost of unused CPU cycles under standard pay-as-you-go elastic pricing policies.
  4. D
    Migrate the system as a monolithic database to a single large instance and use AWS Budgets to dynamically scale down hardware CPU and RAM capacity in real-time, converting traditional server depreciation into a capital expense (CapEx) credit.

Cevap

Transition to a variable operating expense (OpEx) model by using AWS Auto Scaling to dynamically match compute capacity with peak demand, combined with Savings Plans for the predictable baseline workload, minimizing overall Total Cost of Ownership (TCO).
The correct strategy involves transitioning to an operational expenditure (OpEx) model using AWS Auto Scaling for peak demand and commitment-based pricing like Savings Plans for the baseline workload. This combination eliminates upfront capital expenditures (CapEx), matches resource consumption directly with demand, and minimizes the overall Total Cost of Ownership (TCO).

Adım Adım Çözüm

1
Analyze the workload characteristics of the retail inventory system.
The workload has a predictable baseline with short, highly variable seasonal spikes (15 days per year).
Understanding the baseline and variable patterns is necessary to determine the appropriate cloud economics strategy.
2
Evaluate the financial transition from capital expenditures to operational expenditures.
On-premises requires upfront physical server purchases (CapEx), while AWS allows pay-as-you-go consumption (OpEx).
Shifting to OpEx eliminates the risk of depreciation and underutilized capacity.
3
Apply elasticity and pricing models to optimize the Total Cost of Ownership (TCO).
AWS Auto Scaling handles peak demand dynamically, and Savings Plans reduce costs for the baseline workload.
Combining elasticity with commitment discounts maximizes cost efficiency for both constant and variable workloads.

Anahtar Kavram

Leveraging elasticity and demand-driven scaling to transition from fixed capital expenditures (CapEx) to variable operating expenditures (OpEx), reducing the Total Cost of Ownership (TCO).
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Understand concepts of cloud economics

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