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Zorluk: OrtaCost-Optimized Compute Selection and Purchasing Strategies

A company is designing a cost-optimization strategy for its inventory management system on AWS. The workload consists of a containerized application layer running on Amazon ECS with AWS Fargate that requires a continuous, steady-state baseline of compute capacity, and a database tier running on Amazon RDS for PostgreSQL that also requires steady-state baseline compute and storage capacity. The company wants to maximize cost discounts for both tiers while maintaining the existing architecture and minimizing operational overhead. Which combination of purchasing strategies should a solutions architect recommend to meet these requirements most cost-effectively?

  1. A
    Purchase an EC2 Instance Savings Plan to cover both the AWS Fargate baseline compute capacity and the Amazon RDS database instances.
  2. B
    Migrate the containerized application layer to AWS Lambda to run the continuous baseline tasks, and purchase Amazon RDS Reserved Instances for the database tier.
  3. Purchase a Compute Savings Plan to cover the AWS Fargate baseline compute capacity, and purchase Amazon RDS Reserved Instances for the database tier.Cevap
  4. D
    Purchase a Compute Savings Plan to cover both the AWS Fargate baseline compute capacity and the Amazon RDS database instances.

Cevap

Purchase a Compute Savings Plan to cover the AWS Fargate baseline compute capacity, and purchase Amazon RDS Reserved Instances for the database tier.
The correct option is to purchase a Compute Savings Plan to cover the AWS Fargate baseline compute capacity and purchase Amazon RDS Reserved Instances for the database tier. Compute Savings Plans automatically apply to Fargate compute usage, offering significant savings for steady-state workloads. Since Compute Savings Plans do not extend to database services like Amazon RDS, purchasing RDS Reserved Instances is the correct and most cost-effective method to cover the steady-state database tier.

Adım Adım Çözüm

1
Analyze the containerized application tier requirements.
The application tier runs on Amazon ECS with AWS Fargate and requires continuous, steady-state baseline compute capacity.
Identifying the compute service and workload pattern helps determine the best purchasing model.
2
Determine the optimal purchasing strategy for the Fargate tier.
A Compute Savings Plan is selected.
Compute Savings Plans apply discounts to Amazon EC2, AWS Fargate, and AWS Lambda usage, making it ideal for the steady-state Fargate baseline.
3
Analyze the database tier requirements.
The database tier runs on Amazon RDS for PostgreSQL and also requires steady-state baseline capacity.
Understanding the database hosting model and usage pattern helps select the correct discount mechanism.
4
Determine the optimal purchasing strategy for the database tier.
Amazon RDS Reserved Instances are selected.
Compute Savings Plans do not cover Amazon RDS. Amazon RDS Reserved Instances must be purchased separately to obtain discounts on the steady-state database instances.

Anahtar Kavram

Selecting and combining AWS compute purchasing models (Compute Savings Plans and RDS Reserved Instances) based on service scope and workload steadiness.
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Cost-Optimized Compute Selection and Purchasing Strategies