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Difficulty: MediumOptimizing Resource Costs and Sizing

An enterprise manages a multi-account environment under AWS Organizations with consolidated billing enabled. The workload is distributed as follows:
- Member Account A runs a containerized web application on Amazon ECS on AWS Fargate and several Amazon EC2 m6i instances.
- Member Account B runs event-driven processing pipelines using AWS Lambda and several Amazon EC2 c6i instances.

A Solutions Architect needs to implement a cost-optimization strategy to reduce compute costs while maintaining high availability and minimizing operational overhead. Which two actions should the Solutions Architect recommend?

  1. Purchase a Compute Savings Plan at the AWS Organizations management account level to apply flexible savings across the EC2 instances, ECS Fargate tasks, and Lambda functions.Answer
  2. Use AWS Compute Optimizer to evaluate the utilization metrics of the ECS Fargate tasks and EC2 instances, and then downsize the over-provisioned tasks and instances to match their actual resource demands.Answer
  3. C
    Purchase an EC2 Instance Savings Plan for the m6i instance family to maximize discount rates for both the EC2 instances and the ECS Fargate tasks in the member accounts.
  4. D
    Share the compute cost savings by using AWS Resource Access Manager (RAM) to distribute the Savings Plan benefits from the management account to the individual member accounts.
  5. E
    Deploy a single central NAT Gateway in a shared services VPC and route all private subnet traffic from both member accounts through it to eliminate multi-AZ NAT Gateway hourly costs.

Answer

Purchasing a Compute Savings Plan at the AWS Organizations management account level and using AWS Compute Optimizer to identify and resize over-provisioned ECS Fargate tasks and EC2 instances.
Purchasing a Compute Savings Plan at the management account level provides the necessary coverage for a mixed workload of EC2, Fargate, and Lambda across all member accounts. Using AWS Compute Optimizer allows the team to right-size the ECS Fargate tasks and EC2 instances based on actual usage history before making a financial commitment, achieving the most cost-effective and operationally efficient configuration.

Step-by-Step Solution

1
Analyze resource utilization and right-size the existing compute workloads.
AWS Compute Optimizer recommendations are applied to ECS Fargate tasks and EC2 instances, sizing them to meet actual demands.
Right-sizing workloads prior to committing to any Savings Plans ensures the organization does not over-commit financial resources for excess capacity.
2
Determine the appropriate Savings Plan type to cover the hybrid compute environment.
Compute Savings Plans are selected because they cover EC2 instances, AWS Fargate, and AWS Lambda across all regions and families.
EC2 Instance Savings Plans are limited to specific EC2 families and regions, and do not apply to Fargate or Lambda.
3
Purchase the Savings Plan from the AWS Organizations management account.
The discount benefits automatically float and apply to eligible compute usage across all member accounts via consolidated billing.
Management account purchases allow sharing benefits across consolidated accounts natively without requiring additional sharing tools like Resource Access Manager.

Key Concept

Optimizing compute resource costs in a multi-account environment through AWS Compute Optimizer and Compute Savings Plans.
Estimated Time:2m 0s
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Topics

Optimizing Resource Costs and Sizing

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