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Zorluk: OrtaUnderstand concepts of cloud economics

A biotechnology company, BioVanguard Research, is planning to migrate its molecular modeling simulations to AWS. These simulation workloads run sporadically based on active research projects, requiring high compute power for brief periods, followed by weeks of inactivity. The finance department is evaluating the cost implications of moving from their current on-premises high-performance computing (HPC) cluster to the AWS Cloud. Which of the following represent key cloud economic concepts or benefits that apply to this scenario? (Select TWO.)

  1. Transitioning from upfront capital investments in physical servers to variable operational costs that align with actual simulation run timesCevap
  2. Leveraging cloud elasticity to scale compute resources down to zero during weeks of inactivity, eliminating payment for idle capacityCevap
  3. C
    Shifting operational expenses (OpEx) into capital expenses (CapEx) to minimize ongoing billing variability for research projects
  4. D
    Using scalability to maintain a static, high-capacity server pool that is constantly available to handle peak workloads without delay
  5. E
    Executing a lift-and-shift migration strategy to completely redesign the molecular modeling application into a serverless architecture during the initial migration

Cevap

Transitioning from upfront capital investments in physical servers to variable operational costs that align with actual simulation run times, and leveraging cloud elasticity to scale compute resources down to zero during weeks of inactivity, eliminating payment for idle capacity.
The correct options are transitioning from upfront capital investments to variable operational costs, and leveraging cloud elasticity to scale compute resources down to zero during inactivity. The shift from CapEx to OpEx allows the company to pay only for active compute usage instead of investing in physical servers upfront. Elasticity ensures they can dynamically terminate resources when not in use, eliminating charges for idle time.

Adım Adım Çözüm

1
Analyze the workload pattern.
The simulation workloads run sporadically, requiring massive compute capacity for short bursts, followed by prolonged periods of inactivity.
Understanding the usage pattern is critical to determining which pricing and scaling models yield the best economic benefit.
2
Evaluate the shift in expense models.
Moving to the cloud shifts the workload from a capital expense model (buying servers upfront) to an operational expense model (paying as you go).
This allows the company to avoid capital overhead for hardware that remains idle during research gaps.
3
Apply scaling mechanisms to optimize costs.
Using elasticity to dynamically provision instances when simulations run, and terminate them when idle, ensures cost optimization.
Elasticity prevents the business from paying for unused compute capacity, aligning operational costs directly with research activity.

Anahtar Kavram

Understanding cloud economics, specifically shifting from CapEx to OpEx and utilizing elasticity to eliminate idle capacity costs.
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Understand concepts of cloud economics

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