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Difficulty: EasyCost-Optimized Compute Selection and Purchasing Strategies

A logistics company runs a tracking and analysis platform on AWS. The platform consists of a backend application on Amazon EC2 instances that runs continuously 24/7 with a predictable, steady-state load. The platform also runs a daily data validation batch job on EC2 instances that is stateless, can be interrupted at any time, and writes results to Amazon S3. The company also uses an Amazon RDS database for data storage. Which combination of strategies should a solutions architect recommend to meet these requirements most cost-effectively? (Select TWO.)

  1. Purchase a Compute Savings Plan to cover the predictable, steady-state Amazon EC2 instances.Answer
  2. Use Amazon EC2 Spot Instances to run the stateless, interruptible batch validation jobs.Answer
  3. C
    Purchase a Compute Savings Plan to cover both the Amazon EC2 instances and the Amazon RDS database instances.
  4. D
    Migrate the 24/7 steady-state backend application to run on AWS Lambda functions continuously.
  5. E
    Route the batch validation job's data transfer to Amazon S3 through a NAT Gateway to minimize internal data transfer costs.

Answer

The correct options are purchasing a Compute Savings Plan to cover the predictable, steady-state Amazon EC2 instances, and using Amazon EC2 Spot Instances to run the stateless, interruptible batch validation jobs.
Purchasing a Compute Savings Plan is the most cost-effective way to cover the predictable, steady-state Amazon EC2 backend application load, offering significant discounts compared to On-Demand rates. Using Amazon EC2 Spot Instances is the optimal choice for the batch validation jobs since they are stateless, run once a day, and can tolerate interruptions, providing the maximum possible cost savings of up to 90% off On-Demand rates.

Step-by-Step Solution

1
Analyze the backend application workload characteristics.
The backend application runs continuously 24/7 with a predictable, steady-state load.
Determining if the workload is steady-state helps select the appropriate purchasing option (Savings Plan or Reserved Instances) rather than On-Demand.
2
Analyze the daily batch validation job characteristics.
The batch validation job is stateless, can be interrupted at any time, and runs daily.
Identifying that a workload is fault-tolerant and interruptible makes it an ideal candidate for Spot Instances to maximize cost savings.
3
Evaluate the options for compute cost optimization.
Compute Savings Plans cover EC2 steady-state compute. Spot Instances cover the batch validation compute. NAT Gateways and Lambda are not appropriate or cost-effective for these specific configurations.
Combining Compute Savings Plans for steady-state workloads and Spot Instances for interruptible batch workloads delivers the most cost-effective architecture.

Key Concept

Selecting the most cost-effective AWS compute purchasing model (Savings Plans for steady-state, Spot Instances for interruptible workloads) based on workload characteristics.
Estimated Time:1m 30s
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Topics

Cost-Optimized Compute Selection and Purchasing Strategies