AWS AmazonCloudWatch documentation change
Summary
Updated terminology from 'outlier detection' to 'anomaly detection' throughout the document, including function names, section headers, and descriptions.
Security assessment
The changes are purely terminological (outlier → anomaly detection) with no indication of addressing security vulnerabilities or adding security features. This appears to be branding/naming standardization.
Diff
diff --git a/AmazonCloudWatch/latest/monitoring/using-metric-math.md b/AmazonCloudWatch/latest/monitoring/using-metric-math.md index e3d16fcc2..3d99d37a4 100644 --- a//AmazonCloudWatch/latest/monitoring/using-metric-math.md +++ b//AmazonCloudWatch/latest/monitoring/using-metric-math.md @@ -5 +5 @@ -Add a math expression to a CloudWatch graphMetric math syntax and functionsUsing IF expressionsOutlier detection on metric math +Add a math expression to a CloudWatch graphMetric math syntax and functionsUsing IF expressionsAnomaly detection on metric math @@ -120 +120 @@ Function | Arguments | Return type***** | Description | Examples | Supported for -**ANOMALY_DETECTION_BAND** | TS TS, S | TS[] | Returns an outlier detection band for the specified metric. The band consists of two time series, one representing the upper limit of the "normal" expected value of the metric, and the other representing the lower limit. The function can take two arguments. The first is the ID of the metric to create the band for. The second argument is the number of standard deviations to use for the band. If you don't specify this argument, the default of 2 is used. For more information, see [Using CloudWatch outlier detection](./CloudWatch_Anomaly_Detection.html). | **ANOMALY_DETECTION_BAND(m1)** **ANOMALY_DETECTION_BAND(m1,4)** | +**ANOMALY_DETECTION_BAND** | TS TS, S | TS[] | Returns an anomaly detection band for the specified metric. The band consists of two time series, one representing the upper limit of the "normal" expected value of the metric, and the other representing the lower limit. The function can take two arguments. The first is the ID of the metric to create the band for. The second argument is the number of standard deviations to use for the band. If you don't specify this argument, the default of 2 is used. For more information, see [Using CloudWatch anomaly detection](./CloudWatch_Anomaly_Detection.html). | **ANOMALY_DETECTION_BAND(m1)** **ANOMALY_DETECTION_BAND(m1,4)** | @@ -391 +391 @@ You can use `GetMetricData` to perform calculations using math expressions, and -## Outlier detection on metric math +## Anomaly detection on metric math @@ -393 +393 @@ You can use `GetMetricData` to perform calculations using math expressions, and -Outlier detection on metric math is a feature that you can use to create anomaly detection alarms on single metrics and the outputs of metric math expressions. You can use these expressions to create graphs that visualize outlier detection bands. The feature supports basic arithmetic functions, comparison and logical operators, and most other functions. +Anomaly detection on metric math is a feature that you can use to create anomaly detection alarms on single metrics and the outputs of metric math expressions. You can use these expressions to create graphs that visualize anomaly detection bands. The feature supports basic arithmetic functions, comparison and logical operators, and most other functions. @@ -395 +395 @@ Outlier detection on metric math is a feature that you can use to create anomaly -**Outlier detection on metric math doesn't support the following functions:** +**Anomaly detection on metric math doesn't support the following functions:** @@ -416 +416 @@ Outlier detection on metric math is a feature that you can use to create anomaly -For more information about this feature, see [Using CloudWatch outlier detection](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Anomaly_Detection.html#anomaly_detection_on_metric_math) in the _Amazon CloudWatch User Guide_. +For more information about this feature, see [Using CloudWatch anomaly detection](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Anomaly_Detection.html#anomaly_detection_on_metric_math) in the _Amazon CloudWatch User Guide_. @@ -424 +424 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please -Using outlier detection +Using anomaly detection