Root cause analysis and automated cost anomaly identification
AWS Cost Anomaly Detection
What is AWS Cost Anomaly Detection?
AWS Cost Anomaly Detection lessens cost surprises and improves management without stifling innovation. Using cutting-edge machine learning technology, AWS Cost Anomaly Detection finds unusual spending and its underlying causes so you can act promptly. Creating your own contextualized monitor only takes three easy steps, and you’ll be notified whenever any unusual spending is found. To lower the chance of unexpected bills, let builders construct and let AWS Cost Anomaly Detection keep an eye on your spending.
Use the AWS Cost Explorer API or the Cost Management Console to create AWS Cost Anomaly Detection to get started. After you configure your monitor and alert preferences, AWS will send you emails or use the Amazon Simple Notification Service (Amazon SNS) to send you individual alerts or a daily or weekly summary. Also, you can use AWS Cost Explorer to monitor and perform your own anomaly analysis.
Benefits
Easy setup
To assess spend anomalies for each AWS service separately, member accounts, cost allocation tags, or cost categories, follow this easy three-step setup.
Reduce erroneous positives
Investigate further to reduce false positives by better understanding your cost drivers based on seasonally aware trends (e.g. weekly).
Particular anomaly thresholds
Receive notifications and set your own unique anomaly thresholds, either individually or on a weekly or daily basis.
Show the daily cost trends
Easily view daily expense trends in AWS expense Explorer, with the most important costs automatically filtered out.
Use cases
Minimize unexpected expenses
Keep yourself updated on spend irregularities by receiving automated detection alerts at your preferred frequency by email or Amazon SNS topic. You can use Amazon SNS topics to facilitate teamwork and prompt alert resolution by sending notifications to your Amazon Chime chat room or Slack channel.
Construct an alert subscription
You can select your preferred alerting method after creating your cost monitor by establishing a monetary barrier (for example, only alerting on anomalies with an impact of more than $1,000). Defining an anomaly (such as a percentage or dollar rise) is not necessary because Anomaly Detection does it for you and adapts over time.
Get alerts
After creating expense monitors and alert subscriptions, you’re ready to go! Within 24 hours, abnormality Detection will start to function, and you will receive notifications whenever any abnormality reaches your alert level. The actions, including anomalies found below your alert level, can be tracked by going to your Anomaly Detection dashboard.
Identifying anomalous expenditures using AWS Cost Anomaly Detection
Using machine learning models, the AWS Cost Anomaly Detection function finds and warns you about unusual spending trends in your installed AWS services.
AWS Cost Anomaly Detection offers the following advantages:
- Either an email or an Amazon SNS subject will send you alerts separately in aggregated reports.
- For Amazon SNS topics, set up an AWS Chatbot that associates the topic with either an Amazon Chime chat room or a Slack channel. See Getting anomaly alerts in Slack and Amazon Chime for additional details.
- In order to reduce false positive alarms, you can assess your spending habits using machine learning techniques. You can assess seasonality and natural growth, for instance, on a weekly or monthly basis.
- The AWS account, service, region, or usage type that is causing the cost increase are some examples of the underlying cause of the anomaly that you can look into.
How you assess your expenses is up to you. You can decide if you want to examine individual member accounts, cost allocation tags, or cost categories, or all of your AWS services.
After processing your billing data, AWS Cost Anomaly Detection checks your net unblended cost data (net costs after all applicable discounts are determined) for anomalies about three times a day. There may be a small delay in alerts reaching you. The Cost Explorer data used for Cost Anomaly Detection can be delayed by up to 24 hours. Because of this, identifying an abnormality after a usage can take up to 24 hours. It may take a full day to start identifying new irregularities if you create a new monitor. Before anomalies for a new service subscription may be identified, ten days of past service usage data are required.
Is AWS Cost Anomaly Detection free?
Amazon offers a free service called AWS Cost Anomaly Detection that tracks your spending habits in order to identify unusual spending and offer root cause investigation. It assists clients in improving cost controls and reducing expense shocks.
