AWS has made available Amazon Lookout for Metrics, a service that uses machine learning to automatically monitor various metrics across business and operational data, detect anomalies and alert the user so they can take appropriate action.
Lookout for Metrics automatically inspects various cases such as sudden dips in sales revenue, customer acquisition rates, web page views, active users, high rates of abandoned shopping cart transaction volume, and mobile app installations. In a couple of clicks AWS customers can connect Amazon Lookout for Metrics to popular data stores like Amazon S3, Amazon Redshift, and Amazon Relational Database Service (RDS), as well as third-party SaaS applications, such as Salesforce, ServiceNow, Zendesk, Marketo, and start monitoring metrics that are important to your business.
Amazon Lookout for Metrics has a few key benefits such as:
Once Lookout for Metrics begins returning results, users could then provide feedback on the relevancy of detected anomalies via the Lookout for Metrics console or the API provided. The service uses this feedback to continuously improve its accuracy over time, said AWS.
Lookout for Metrics is available now in several AWS Regions in the US, Europe and Asia. More details are available on the AWS Machine Learning blog.