Anomalies

Introduction

The Anomaly Detection feature in CloudNito is designed to help users identify, investigate, and address unexpected or unusual patterns in their AWS usage and spending. By leveraging this feature, users can proactively manage their cloud costs, avoid budget overruns, and ensure optimal resource utilization. This guide provides a comprehensive overview of the Anomaly Detection interface, its key components, and how to effectively use it to manage AWS anomalies.

Overview of Anomaly Detection

The Anomaly Detection feature allows you to:

• List Detected Anomalies : Provides a comprehensive list of anomaly detected in your AWS usage, including details such as anomaly type, severity, cost impact, and status.

• Investigate Anomalies : Enables detailed investigation of each anomaly, helping you understand the underlying causes and take corrective actions.

• Address Anomalies : Offers tools and recommendations to address and resolve anomalies, ensuring efficient resource usage and cost management.

Conclusion

The Anomaly Detection feature in CloudNito is a crucial tool for managing and optimizing your AWS costs. By providing detailed insights into anomalies and their underlying causes, it enables you to take proactive measures to address issues and ensure efficient resource usage. Regular use of this feature, along with best practices for anomaly management, will help you maintain control over your AWS spending and avoid unexpected cost increases.