AWS Case Study

AWS Compute Optimizer

Use this page as a service-specific case-study starter for architecture, simulation, and optimization scenarios in pinpole.cloud.

Why this service matters

AWS Compute Optimizer recommends optimal AWS resources to reduce costs and improve performance.

Power:
- ML-based analysis of utilization metrics
- Recommendations for EC2, EBS, Lambda, ECS on Fargate
- Enhanced recommendations with 3-month lookback
- Savings and performance risk indicators
- Export recommendations to S3

Important workflows

  • Design - Configure service behavior for your workload.

Configuration sections

  • Why Compute Optimizer (Power + Limits)
  • Compute Optimizer Settings

Key configuration points

PointDefault / ValueCategory
EnabledtrueCompute Optimizer Settings
Enhanced RecommendationsfalseCompute Optimizer Settings
External Metrics (Datadog/etc)falseCompute Optimizer Settings
Export to S3falseCompute Optimizer Settings
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