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Zorluk: OrtaAWS Pricing Models

A financial services firm is migrating its risk analysis platform to Amazon EC2. The platform consists of two distinct workloads:

1. A core transaction processing engine that must run continuously 24/7 with highly predictable resource usage.
2. A stateless data analytics modeling job that runs periodically, can be distributed across multiple instances, and can tolerate unexpected interruptions.

Which EC2 pricing models should the company select to achieve the most cost-effective solution? (Select TWO.)

  1. Spot Instances for the stateless data analytics modeling job to leverage steep discounts for interruptible workloads.Cevap
  2. Reserved Instances for the core transaction processing engine to secure significant discounts for predictable, steady-state usage.Cevap
  3. C
    On-Demand Instances for the core transaction processing engine to avoid long-term commitments for the steady-state workload.
  4. D
    Spot Instances for the core transaction processing engine to minimize costs for the continuous 24/7 transaction processing workload.
  5. E
    Dedicated Hosts for both workloads to shift from capital expenses (CapEx) to operating expenses (OpEx).

Cevap

The company should choose Spot Instances for the stateless data analytics modeling job and Reserved Instances for the core transaction processing engine.
For the core transaction processing engine, which runs continuously 24/7 with predictable utilization, Reserved Instances (or Savings Plans) provide the optimal discount compared to On-Demand rates. For the stateless, fault-tolerant data analytics modeling job that can tolerate interruptions, Spot Instances offer the highest cost savings (up to 90% off On-Demand rates) by utilizing spare AWS capacity.

Adım Adım Çözüm

1
Analyze the first workload requirement: A core transaction processing engine running continuously 24/7 with predictable resource usage.
Identify that a continuous, predictable, steady-state workload is best suited for committed pricing models such as Reserved Instances or Savings Plans to maximize discount rates.
Reserved Instances and Savings Plans provide significant cost reductions (up to 72%) compared to On-Demand pricing in exchange for a commit period of 1 or 3 years.
2
Analyze the second workload requirement: A stateless data analytics modeling job that runs periodically, can be distributed, and can tolerate unexpected interruptions.
Identify that fault-tolerant, interruptible workloads are best suited for Spot Instances.
Spot Instances allow customers to bid on unused EC2 capacity at discounts of up to 90%, which is highly cost-effective for tasks that can handle interruption and do not require constant availability.
3
Combine the results to select the correct two options.
Select the option specifying Spot Instances for the analytics modeling job and the option specifying Reserved Instances for the transaction processing engine.
This combination aligns the workload characteristics (stability vs. flexibility/fault tolerance) with the most cost-effective pricing models.

Anahtar Kavram

AWS EC2 pricing models optimization based on workload characteristics.
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AWS Pricing Models

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