How-to Guide: Slack integrations for Cost Anomaly Detection using AWS Chatbot
Introduction
AWS Cost Anomaly Detection uses advanced Machine Learning technology to identify anomalous spend and root causes, so you can quickly take action. It allows you to configure cost monitors that define spend segments you want to evaluate (e.g., individual AWS services, member accounts, cost allocation tags, cost categories), and lets you set when, where, and how you receive your alert notifications. For each monitor, you can attach multiple alert subscriptions, and with each subscription include a name, a cost impact threshold, and alerting frequency (individual alerts, daily summary, weekly summary). To make it even easier for you and your teams to have real-time visibility and insights into anomalous spend, you can now receive Cost Anomaly Detection alert notifications in Slack using AWS Chatbot. Follow this tutorial to learn how.
Implementation
You will need the following resources or permissions to proceed with this tutorial: Enable Cost Explorer, Ensure IAM policies for Cost Explorer console and API access
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