A financial technology company operates a transaction validation service on AWS. The application consists of a processing tier running containerized microservices on Amazon ECS on AWS Fargate, which runs continuously with a stable, predictable CPU and memory utilization. The backend database runs on Amazon RDS for PostgreSQL. The company wants to minimize its compute costs over a -year period. Which combination of purchasing strategies will provide the most cost-effective solution?
- APurchase a single Compute Savings Plan to cover the combined consumption of both the Amazon ECS on AWS Fargate tasks and the Amazon RDS database.
- Purchase a Compute Savings Plan for the Amazon ECS on AWS Fargate tasks, and purchase an Amazon RDS Reserved Instance for the database.Cevap
- CPurchase an EC2 Instance Savings Plan for the Amazon ECS on AWS Fargate tasks, and purchase an Amazon RDS Reserved Instance for the database.
- DMigrate the processing tier to run on AWS Lambda, and purchase a Compute Savings Plan to cover the Lambda functions and the Amazon RDS database.
Cevap
Purchasing a Compute Savings Plan for the Amazon ECS on AWS Fargate tasks, and purchasing an Amazon RDS Reserved Instance for the database.
The correct answer combination correctly matches the purchasing strategies to their supported services. A Compute Savings Plan is the most flexible savings plan that applies to EC2, Fargate, and Lambda workloads. Since Compute Savings Plans do not cover Amazon RDS, purchasing an Amazon RDS Reserved Instance for the database tier is the most cost-effective way to secure a commitment discount for the continuous PostgreSQL workload.
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AWS Compute Savings Plans scope and RDS Reserved Instances compatibility
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