{"id":"fcb13295-89ae-4335-a0b2-dac58916c46d","shortId":"N3PF8c","kind":"skill","title":"CloudWatch Anomaly Detector","tagline":"Creates and manages CloudWatch Anomaly Detection bands using AWS SDK PutAnomalyDetector and GetMetricData APIs. Generates alerts when metrics breach learned baselines with configurable sensitivity.","description":"# CloudWatch Anomaly Detector\n\nCreates and manages CloudWatch Anomaly Detection bands using AWS SDK PutAnomalyDetector and GetMetricData APIs. Generates alerts when metrics breach learned baselines with configurable sensitivity.\n\n## Installation\n\nBasic usage or getting-started notes:\n- The machine learning model is specific to a metric and a statistic. For example, if you\n- extend outside of logical values. For example, the band for MemoryUtilization of an EC2 instance will stay between 0 and 100, and the bands\n- This works for any metric that returns a float value, such as CPU usage, request latency,\n\n- Source: https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Anomaly_Detection.html\n\n## Documentation\n\n- https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Anomaly_Detection.html\n\n## Source\n\n- [Agent Skill 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