A company has an internal application on compute-optimized Amazon EC2 instances in an Auto Scaling group using Amazon EBS volumes. The company wants to identify cost optimizations across the EC2 instances, the Auto Scaling group, and the EBS volumes with the MOST operational efficiency. Which solution meets this requirement?
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Correct answer: Configure AWS Compute Optimizer for cost recommendations for the EC2 instances, the Auto Scaling group and the EBS volumes..
Why this is the answer
AWS Compute Optimizer is the most operationally efficient solution because it automatically analyzes resource utilization and provides recommendations for optimal AWS resource configurations, including EC2 instances, Auto Scaling groups, and EBS volumes. This service directly addresses the need for cost optimization with minimal manual effort. Creating a new AWS Cost and Usage Report (CUR) would provide detailed billing data but would require significant manual analysis to derive specific cost optimization recommendations for these services. CloudWatch billing alerts notify you of spending thresholds but don't offer specific optimization recommendations. Combining Compute Optimizer for EC2 with a CUR for Auto Scaling groups and EBS volumes is less efficient than using Compute Optimizer for all supported resources, as it introduces an unnecessary manual step.
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