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Showing results for tags 'lookout'.
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Amazon Lookout for Metrics uses machine learning (ML) to automatically monitor the metrics critical to your businesses with greater speed and accuracy than traditional methods used for anomaly detection. The service makes it easier to diagnose the root cause of anomalies such as unexpected dips in revenue, high rates of abandoned shopping carts, spikes in payment transaction failures, increases in new user sign-ups, and many more. View the full article -
Amazon Lookout for Metrics announces the launch of backtesting when using Amazon CloudWatch as a data source connector. Backesting is a new anomaly detection mode you can now select when setting up your detector. You can seamlessly connect to your data in CloudWatch to set up a highly accurate anomaly detector across metrics, dimensions, and namespaces of your choice. Amazon Lookout for Metrics uses machine learning (ML) to automatically detect and diagnose anomalies (outliers from the norm) without requiring any prior ML experience. Amazon CloudWatch provides you with actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. View the full article
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AWS Lookout for Metrics announces the launch of the Athena connector, a new connector in Lookout for Metrics that allows you to query data from various data sources such as Data Lake on AWS, Amazon S3, Amazon Redshift to ingest into Amazon Lookout for Metrics for anomaly detection. The Athena connector reduces the need to setup complex ETL jobs and data preparation time for anomaly detection. You can query large datasets using standard SQL and analyze it before ingesting in an anomaly detector. The Athena connector supports data formatted in CSV, JSON, ORC (Optimized Row Columnar), Parquet, XML, plain text and AVRO. View the full article
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We are excited to announce that Amazon Lookout for Metrics now allows you to detect anomalies on your Amazon CloudWatch data. Amazon Lookout for Metrics uses machine learning (ML) to automatically detect and diagnose anomalies (outliers from the norm) without requiring any prior ML experience. Amazon CloudWatch provides you with actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. View the full article
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