Anomaly Detection - Kahuna915/Capstone-Cloud-Integration GitHub Wiki

AWS Anomaly Detection is a machine learning-based service that helps you detect anomalies in your time series data. It uses advanced algorithms to identify anomalous behavior in your data, such as sudden spikes or drops in values, or changes in the overall trend. It can be used to detect anomalies in metrics such as CPU utilization, latency, and throughput. With AWS Anomaly Detection, you can quickly identify and respond to unexpected changes in your data, helping you maintain the performance and reliability of your applications.