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Difficulty: HardAWS Compute Services

A retail company is migrating a legacy monolithic inventory management application to AWS. The application requires direct administrative access to the operating system to install custom kernel-level security modules. It must run continuously 24/7 to process inventory updates with a highly predictable workload. To minimize cost while meeting all technical constraints, which AWS compute deployment model should the company choose?

  1. Amazon EC2 instances with Reserved Instances pricingAnswer
  2. B
    AWS Fargate with Savings Plans pricing
  3. C
    Amazon EC2 instances with Spot Instances pricing
  4. D
    AWS Lambda with On-Demand pricing

Answer

Amazon EC2 instances with Reserved Instances pricing
Amazon EC2 instances with Reserved Instances pricing satisfies all conditions. First, Amazon EC2 is an Infrastructure as a Service (IaaS) offering that grants customers full administrative control over the operating system, which is necessary for installing custom kernel-level security modules. Second, because the workload runs 24/7 with a highly predictable pattern, committing to Reserved Instances provides the most cost-effective billing model for steady-state workloads.

Step-by-Step Solution

1
Analyze the technical access requirement
The application requires custom kernel-level security modules, which necessitates root-level administrative access to the underlying operating system.
This rules out serverless compute options like AWS Fargate and AWS Lambda, which abstract the OS layer away from the user.
2
Analyze the workload characteristics and runtime duration
The application runs 24/7 (continuous) and supports a highly predictable inventory workload.
This rules out AWS Lambda (which has a 15-minute execution limit) and makes Spot Instances unsuitable due to potential interruptions.
3
Select the most cost-effective pricing model for a stable 24/7 EC2 workload
Reserved Instances (or Savings Plans) provide the most appropriate pricing model for predictable, continuous compute capacity, offering up to a 72% discount compared to On-Demand rates.
Choosing On-Demand would be unnecessarily expensive, and Spot Instances cannot guarantee the required availability.

Key Concept

Selecting appropriate AWS compute services and pricing models based on technical requirements and workload predictability.
Estimated Time:2m 0s
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Topics

AWS Compute Services

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