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Difficulty: MediumAWS Cost Monitoring, Budgeting, and Optimization Tool Analysis

A company has migrated its e-commerce platform to AWS. The platform experiences seasonal traffic fluctuations, leading to variable monthly infrastructure costs. The finance team needs a solution to detect and receive notifications about sudden, unexpected spend spikes that deviate from historical usage patterns, without the need to define and maintain static budget thresholds. Which AWS service or feature should a solutions architect recommend to satisfy these requirements?

  1. A
    AWS Budgets with forecasted cost alerts
  2. B
    AWS Cost Explorer daily saved reports
  3. AWS Cost Anomaly DetectionAnswer
  4. D
    AWS Billing Conductor custom billing groups

Answer

AWS Cost Anomaly Detection
The correct option is AWS Cost Anomaly Detection. It uses machine learning to continuously monitor cost and usage, dynamically establishing a baseline of historical spend and alerting on unusual anomalies without requiring the manual configuration of static thresholds.

Step-by-Step Solution

1
Analyze the requirements for alerting on unexpected cost increases without pre-defined static thresholds.
The requirement demands dynamic cost monitoring that adjusts to seasonal patterns and alerts on unusual spikes.
Standard static budgets will either trigger false positives during peak seasons or fail to trigger during low seasons.
2
Evaluate AWS Cost Anomaly Detection against these requirements.
AWS Cost Anomaly Detection uses machine learning to establish dynamic baselines and automatically alerts on outliers.
This eliminates the need to configure or update static limits manually.
3
Evaluate alternative options such as AWS Budgets and AWS Cost Explorer.
AWS Budgets depends on static limits, while AWS Cost Explorer reports are retrospective rather than real-time or near-real-time alerts.
These alternatives fail to meet the dynamic alerting requirement with minimal administrative overhead.

Key Concept

AWS Cost Anomaly Detection dynamically monitors costs using machine learning models to identify unusual spend spikes without relying on static thresholds.
Estimated Time:1m 30s
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Topics

AWS Cost Monitoring, Budgeting, and Optimization Tool Analysis