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Zorluk: OrtaAWS Cost Monitoring, Budgeting, and Optimization Tool Analysis

A company runs its applications in a multi-account environment managed by AWS Organizations. A solutions architect needs to design a cost-monitoring solution that identifies sudden, unexpected spikes in daily spend across any account or service. The solution must minimize false positives, require no manual maintenance of static thresholds, and automatically publish alerts to an Amazon SNS topic for immediate triage. Which solution should the solutions architect recommend to meet these requirements?

  1. Create an AWS Cost Anomaly Detection monitor for AWS services, and set up an alert subscription to publish anomaly notifications to an Amazon SNS topic.Cevap
  2. B
    Configure an AWS Budget with a dynamic threshold based on historical usage, and integrate it with Amazon CloudWatch Alarms to publish to an Amazon SNS topic.
  3. C
    Configure a daily AWS Cost Explorer report for anomalous spending patterns, write an AWS Lambda function to parse the report, and publish notifications to an Amazon SNS topic.
  4. D
    Establish an AWS Billing Conductor pricing rule to analyze multi-account billing datasets daily, and trigger an alert to an Amazon SNS topic when costs deviate from normal baselines.

Cevap

Create an AWS Cost Anomaly Detection monitor for AWS services and set up an alert subscription to publish anomaly notifications to an Amazon SNS topic.
The correct answer proposes using AWS Cost Anomaly Detection. This service leverages advanced machine learning models to detect unusual spend patterns, adapting automatically without requiring manual baseline calculation or static threshold maintenance. By configuring an alert subscription, it can immediately push notifications to an Amazon SNS topic, minimizing false positives and administrative overhead.

Adım Adım Çözüm

1
Identify the primary requirement: automated detection of sudden cost spikes across multiple accounts with zero manual threshold tuning.
Requires a machine-learning-based tool designed for cost anomalies rather than a static threshold budgeting tool.
This rules out tools requiring manually configured limits, such as AWS Budgets, or tools designed for retrospective manual analysis.
2
Evaluate the capabilities of AWS Cost Anomaly Detection.
It uses machine learning to identify anomalous spend patterns, requires no manual thresholds, and supports Amazon SNS integrations out of the box.
This directly matches the technical and operational requirements of the company.
3
Eliminate billing customization tools (AWS Billing Conductor) and retrospective tools (AWS Cost Explorer) that do not support automated, near-real-time anomaly alerting.
AWS Cost Anomaly Detection is selected as the optimal architecture.
Ensures minimal administrative overhead and fast reaction time to unexpected cost changes.

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Proactive Cost Monitoring and Anomaly Detection in AWS
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AWS Cost Monitoring, Budgeting, and Optimization Tool Analysis