Summary
Amazon Lookout for Metrics is an AI/ML managed service that can detect outliers in your dataset and provide root cause analysis to help you collect insights from your univariate or multiple time series data.
In this chapter, you learned how to frame an anomaly detection problem suitable for Amazon Lookout for Metrics and discovered the key concepts employed by the service (datasets, detectors, metrics, measures, and dimensions). This chapter was important to help you develop a good understanding of which applications will be good candidates to be solved with Amazon Lookout for Metrics. We also covered how you can improve your anomaly detection framing approach to benefit the most from the undifferentiated heavy lifting that this service can deliver on your behalf.
In the next chapter, we are going to connect Amazon Lookout for Metrics to a dataset and configure our first detector.