Connect to your Amazon CloudWatch data to detect anomalies and diagnose their root causes using Amazon Lookout for Metrics
We are excited to announce that Amazon Lookout for Metrics now allows you to detect anomalies on your Amazon CloudWatch data. Amazon Lookout for Metrics uses machine learning (ML) to automatically detect and diagnose anomalies (outliers from the norm) without requiring any prior ML experience. Amazon CloudWatch provides you with actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health.
We are excited to announce that Amazon Lookout for Metrics now allows you to detect anomalies on your Amazon CloudWatch data. Amazon Lookout for Metrics uses machine learning (ML) to automatically detect and diagnose anomalies (outliers from the norm) without requiring any prior ML experience. Amazon CloudWatch provides you with actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health.
You can now seamlessly connect to your data in Amazon CloudWatch to set up a highly accurate anomaly detector across metrics, dimensions, and namespaces of your choice using Lookout for Metrics.
To get started with this capability, read our blog or see Using Amazon CloudWatch with Lookout for Metrics. You can use this capability in all Regions where Lookout for Metrics is publicly available. For more information about Region availability, see AWS Regional Services.