One of the challenges encountered by teams using Amazon Lookout for Metrics is quickly and efficiently connecting it to data visualization. The anomalies are presented individually on the Lookout for Metrics console, each with their own graph, making it difficult to view the set as a whole. An automated, integrated solution is needed for deeper analysis.
In this post, we use a Lookout for Metrics live detector built following the Getting Started section from the AWS Samples, Amazon Lookout for Metrics GitHub repo. After the detector is active and anomalies are generated from the dataset, we connect Lookout for Metrics to Amazon QuickSight. We create two datasets: one by joining the dimensions table with the anomaly table, and another by joining the anomaly table with the live data. We can then add these two datasets to a QuickSight analysis, where we can add charts in a single dashboard.
We can

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