A healthcare technology company hosts its core patient data processing application on AWS. The application has two main workloads:
1. A containerized backend service running on Amazon EC2 instances that processes transaction data continuously 24/7 with a predictable baseline utilization.
2. A relational database running on Amazon RDS for PostgreSQL that is also active 24/7 to support the application's transaction logging.
To meet regulatory compliance, the application must run continuously without any interruptions. The company wants to optimize its compute and database costs for these workloads.
Which two purchasing strategies should a solutions architect recommend to achieve the most cost-effective architecture? (Select TWO.)
- Purchase a Compute Savings Plan to cover the baseline usage of the Amazon EC2 instances.Cevap
- Purchase Reserved Instances for the Amazon RDS DB instances.Cevap
- CPurchase a Compute Savings Plan to cover both the Amazon EC2 instances and the Amazon RDS DB instances.
- DMigrate the 24/7 Amazon EC2 worker application to AWS Lambda to leverage pay-per-request pricing.
- EPurchase an EC2 Instance Savings Plan to cover the Amazon RDS DB instances.
Cevap
The solutions architect should recommend purchasing a Compute Savings Plan to cover the Amazon EC2 instances, and purchasing Reserved Instances for the Amazon RDS DB instances.
To optimize costs for a 24/7 predictable EC2 compute baseline, a Compute Savings Plan offers significant discounts and flexibility. To optimize costs for the 24/7 RDS database, purchasing Reserved Instances is the appropriate strategy since Compute Savings Plans do not cover Amazon RDS.
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Anahtar Kavram
Compute Savings Plans apply to EC2, Fargate, and Lambda, while RDS instances require RDS Reserved Instances for cost optimization.
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