Description

Amazon Lookout is a service that uses machine learning to detect anomalies in your data, determines their root causes, and enables you to quickly take action. It’s built from the same technology used by Amazon.com, reflecting 20 years of expertise in anomaly detection and machine learning.

How it Works

• Amazon Lookout monitors metrics and detects anomalies with high accuracy using machine learning technology.
• It uses specialized machine learning models to detect anomalies based on the characteristics of your data.
• When Lookout finds an anomaly, it gives it a severity score to indicate how unexpected it is, based on the detector’s understanding of your data.
• When multiple metrics are affected by an anomaly, the detector collects them in a group.

Benefits

• Amazon Lookout can reduce false positives and use machine learning to accurately detect anomalies in business metrics.
• It can diagnose the root cause of anomalies by grouping related outliers together.
• It can summarize root causes and rank them by severity.
• It seamlessly integrates AWS databases, storage services, and third-party SaaS applications to monitor metrics and detect anomalies.
• It can automate customized alerts and actions when anomalies are detected.

Limitations

• Amazon Lookout sets quotas for the amount of data that a detector can use to learn and detect anomalies.
• There are also quotas for data import intervals, records processing, and Amazon Lookout API requests.
• Additionally, there are data requirements for data retention for re-training, coldstart anomaly detection, backtesting, time series, and record field key-value pairs.

Features

• Amazon Lookout uses machine learning to monitor metrics and detect anomalies with high accuracy.
• It automatically groups anomalies that might be related to the same event and ranks them in the order of severity.