Transitioning from Amazon Lookout for Metrics: Exploring AWS Anomaly Detection Services
In a recent announcement, Amazon has informed customers that they will be ending support for Amazon Lookout for Metrics, effective October 10, 2025. This fully managed service that uses machine learning to detect anomalies in time-series business or operational metrics will no longer be available for new customer sign-ups, and existing customers will need to transition their workloads to alternate AWS services for anomaly detection.
In this blog post, we will provide an overview of the alternate AWS services that offer anomaly detection capabilities for customers to consider transitioning their workloads to. These services include Amazon OpenSearch, Amazon CloudWatch, Amazon Redshift ML, Amazon QuickSight, and AWS Glue Data Quality.
Amazon OpenSearch Service features an anomaly detection engine that enables the real-time identification of anomalies in streaming and historical data. Amazon CloudWatch supports creating anomaly detectors on specific log groups by applying statistical and ML algorithms to metrics. Amazon Redshift ML allows for anomaly detection on analytics data using familiar SQL commands. Amazon QuickSight offers a highly performant anomaly detection engine integrated into the business intelligence service. AWS Glue Data Quality combines rule-based and ML-based approaches for anomaly detection.
In addition to these services, Amazon SageMaker Canvas is planning to provide support for anomaly detection use cases in the future. Customers can use a CloudFormation template-based solution for early access to this feature.
For customers currently using Amazon Lookout for Metrics, it is important to note the cutoff point for support, access changes before the sunset date, and the deletion of resources after October 10, 2025. Customers will need to export anomalies data before deleting resources if they wish to retain that information.
In conclusion, there are several alternate AWS services available for customers to transition to for anomaly detection needs. By leveraging these services, customers can continue to monitor and analyze their time-series metrics effectively even after the end of support for Amazon Lookout for Metrics.