Anomaly Insights

Overview

The Automatic anomaly detection feature comes with AI capability, which analyzes whether a detected anomaly is true or false and labels it in the alert as a false anomaly when applicable.

In addition, the Cost Intelligence View for the anomaly-detected resource uses the AI Agent to analyze cost, usage, and performance trends, detect unusual patterns, and provide actionable recommendations to optimize resource efficiency.

What the AI Agent Evaluates

• Cost Data

• Usage Metrics

• Configuration Changes

• Performance Trends

• Anomaly Severity (True/False Anomalies)

• Recommendations Impact

Key Components

1. Resource Details

• Basic information about the affected resource (type, region, configuration).

2. Performance Analysis

• Assessment of cost, usage, and performance metrics over a historical period.

3. Trend Summary

• Visualization and analysis of cost or usage patterns to contextualize anomalies.

4. Root Cause Analysis

• Identification of potential reasons for anomalies, including configuration changes or usage spikes.

5. Recommendations

• Actionable guidance to optimize costs and prevent future anomalies.

6. Mitigation Strategies

• Policies, alerts, and best practices to manage resource utilization and reduce risks.

Sample Illustration

Given below is the illustration to access the AI Agent that analyses the detected anomaly and gives a brief summary: