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Difficulty: MediumAWS Cost Explorer and Cost Anomaly Detection

A company has deployed a serverless application utilizing Amazon DynamoDB in a production AWS account. The workload has highly variable but predictable weekly patterns, causing daily costs to fluctuate. A SysOps administrator needs to configure a monitoring solution that uses machine learning to detect unexpected cost spikes in DynamoDB usage while minimizing false alerts from normal weekly variations. When an anomaly is detected, the administrator must receive an immediate notification via email and SMS.

Which solution meets these requirements with the least administrative effort?

  1. A
    Create an AWS Budget with a daily budget threshold based on a 3-month historical average. Configure the budget to send notifications to an Amazon SNS topic.
  2. B
    Configure an Amazon EventBridge rule that monitors CloudWatch DynamoDB metrics. Trigger an AWS Systems Manager Automation runbook that evaluates the metric value and publishes an alert to Amazon SNS.
  3. Create an AWS Cost Anomaly Monitor using the AWS Service monitor type for Amazon DynamoDB. Create an anomaly subscription with an Amazon SNS topic as the alerting channel, and subscribe the email and SMS endpoints to the SNS topic.Answer
  4. D
    Apply a custom billing tag to the DynamoDB tables, activate the tag in the AWS Billing Console, and configure an AWS Budget using the activated tag as a filter to alert when costs exceed the standard forecast.

Answer

Create an AWS Cost Anomaly Monitor using the AWS Service monitor type for Amazon DynamoDB. Create an anomaly subscription with an Amazon SNS topic as the alerting channel, and subscribe the email and SMS endpoints to the SNS topic.
The correct solution involves creating an AWS Cost Anomaly Monitor of the AWS Service type to dynamically track Amazon DynamoDB costs using machine learning to account for seasonal variations. An anomaly subscription linked to an Amazon SNS topic allows direct integration for sending email and SMS notifications without relying on static thresholds.

Step-by-Step Solution

1
Create an AWS Cost Anomaly Monitor.
A monitor is established using the AWS Service type specifically targeting Amazon DynamoDB.
This configuration tracks cost fluctuations for the specific service using machine learning algorithms to model baseline patterns, accounting for predictable weekly variations.
2
Create an alert subscription.
An anomaly subscription is configured with a threshold (e.g., $100) and linked to an Amazon Simple Notification Service (SNS) topic.
This establishes the delivery mechanism for anomaly alerts to notify administrators immediately when an anomaly is identified.
3
Subscribe endpoints to the Amazon SNS topic.
Email and SMS endpoints are added as subscriptions to the SNS topic.
This allows the SNS topic to automatically fan out the notification to both communication channels simultaneously.

Key Concept

AWS Cost Anomaly Detection is a machine-learning-driven service that baselines cost patterns to detect unexpected spend spikes, which is more effective than static budgets for variable workloads with seasonal trends.
Estimated Time:1m 30s
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Topics

AWS Cost Explorer and Cost Anomaly Detection

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