cdk-monitoring-constructs
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JavaScript
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.MetricStatistic = void 0;
/**
* Metric aggregation statistic to be used with the IMetric objects.
*
* @see https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/Statistics-definitions.html
*/
var MetricStatistic;
(function (MetricStatistic) {
/**
* 50th percentile of all datapoints
*/
MetricStatistic["P50"] = "p50";
/**
* 70th percentile of all datapoints
*/
MetricStatistic["P70"] = "p70";
/**
* 90th percentile of all datapoints
*/
MetricStatistic["P90"] = "p90";
/**
* 95th percentile of all datapoints
*/
MetricStatistic["P95"] = "p95";
/**
* 99th percentile of all datapoints
*/
MetricStatistic["P99"] = "p99";
/**
* 99.9th percentile of all datapoints
*/
MetricStatistic["P999"] = "p99.9";
/**
* 99.99th percentile of all datapoints
*/
MetricStatistic["P9999"] = "p99.99";
/**
* 100th percentile of all datapoints
*/
MetricStatistic["P100"] = "p100";
/**
* trimmed mean; calculates the average after removing the 50% of data points with the highest values
*/
MetricStatistic["TM50"] = "tm50";
/**
* trimmed mean; calculates the average after removing the 30% of data points with the highest values
*/
MetricStatistic["TM70"] = "tm70";
/**
* trimmed mean; calculates the average after removing the 10% of data points with the highest values
*/
MetricStatistic["TM90"] = "tm90";
/**
* trimmed mean; calculates the average after removing the 5% of data points with the highest values
*/
MetricStatistic["TM95"] = "tm95";
/**
* trimmed mean; calculates the average after removing the 1% of data points with the highest values
*/
MetricStatistic["TM99"] = "tm99";
/**
* trimmed mean; calculates the average after removing the 0.1% of data points with the highest values
*/
MetricStatistic["TM999"] = "tm99.9";
/**
* trimmed mean; calculates the average after removing the 0.01% of data points with the highest values
*/
MetricStatistic["TM9999"] = "tm99.99";
/**
* trimmed mean; calculates the average after removing the 1% lowest data points and the 1% highest data points
*/
MetricStatistic["TM99_BOTH"] = "TM(1%:99%)";
/**
* trimmed mean; calculates the average after removing the 5% lowest data points and the 5% highest data points
*/
MetricStatistic["TM95_BOTH"] = "TM(5%:95%)";
/**
* trimmed mean; calculates the average after removing the 10% lowest data points and the 10% highest data points
*/
MetricStatistic["TM90_BOTH"] = "TM(10%:90%)";
/**
* trimmed mean; calculates the average after removing the 15% lowest data points and the 15% highest data points
*/
MetricStatistic["TM85_BOTH"] = "TM(15%:85%)";
/**
* trimmed mean; calculates the average after removing the 20% lowest data points and the 20% highest data points
*/
MetricStatistic["TM80_BOTH"] = "TM(20%:80%)";
/**
* trimmed mean; calculates the average after removing the 25% lowest data points and the 25% highest data points
*/
MetricStatistic["TM75_BOTH"] = "TM(25%:75%)";
/**
* trimmed mean; calculates the average after removing the 30% lowest data points and the 30% highest data points
*/
MetricStatistic["TM70_BOTH"] = "TM(30%:70%)";
/**
* trimmed mean; calculates the average after removing the 95% lowest data points
*/
MetricStatistic["TM95_TOP"] = "TM(95%:100%)";
/**
* trimmed mean; calculates the average after removing the 99% lowest data points
*/
MetricStatistic["TM99_TOP"] = "TM(99%:100%)";
/**
* trimmed mean; calculates the average after removing the 99.9% lowest data points
*/
MetricStatistic["TM999_TOP"] = "TM(99.9%:100%)";
/**
* trimmed mean; calculates the average after removing the 99.99% lowest data points
*/
MetricStatistic["TM9999_TOP"] = "TM(99.99%:100%)";
/**
* trimmed sum; calculates the sum after removing the 50% of data points with the highest values
*/
MetricStatistic["TS50"] = "ts50";
/**
* trimmed sum; calculates the sum after removing the 30% of data points with the highest values
*/
MetricStatistic["TS70"] = "ts70";
/**
* trimmed sum; calculates the sum after removing the 10% of data points with the highest values
*/
MetricStatistic["TS90"] = "ts90";
/**
* trimmed sum; calculates the sum after removing the 5% of data points with the highest values
*/
MetricStatistic["TS95"] = "ts95";
/**
* trimmed sum; calculates the sum after removing the 1% of data points with the highest values
*/
MetricStatistic["TS99"] = "ts99";
/**
* trimmed sum; calculates the sum after removing the 0.1% of data points with the highest values
*/
MetricStatistic["TS999"] = "ts99.9";
/**
* trimmed sum; calculates the sum after removing the 0.01% of data points with the highest values
*/
MetricStatistic["TS9999"] = "ts99.99";
/**
* trimmed sum; calculates the sum after removing the 1% lowest data points and the 1% highest data points
*/
MetricStatistic["TS99_BOTH"] = "TS(1%:99%)";
/**
* trimmed sum; calculates the sum after removing the 5% lowest data points and the 5% highest data points
*/
MetricStatistic["TS95_BOTH"] = "TS(5%:95%)";
/**
* trimmed sum; calculates the sum after removing the 10% lowest data points and the 10% highest data points
*/
MetricStatistic["TS90_BOTH"] = "TS(10%:90%)";
/**
* trimmed sum; calculates the sum after removing the 15% lowest data points and the 15% highest data points
*/
MetricStatistic["TS85_BOTH"] = "TS(15%:85%)";
/**
* trimmed sum; calculates the sum after removing the 20% lowest data points and the 20% highest data points
*/
MetricStatistic["TS80_BOTH"] = "TS(20%:80%)";
/**
* trimmed sum; calculates the sum after removing the 25% lowest data points and the 25% highest data points
*/
MetricStatistic["TS75_BOTH"] = "TS(25%:75%)";
/**
* trimmed sum; calculates the sum after removing the 30% lowest data points and the 30% highest data points
*/
MetricStatistic["TS70_BOTH"] = "TS(30%:70%)";
/**
* trimmed sum; calculates the sum after removing the 95% lowest data points
*/
MetricStatistic["TS95_TOP"] = "TS(95%:100%)";
/**
* trimmed sum; calculates the sum after removing the 99% lowest data points
*/
MetricStatistic["TS99_TOP"] = "TS(99%:100%)";
/**
* trimmed sum; calculates the sum after removing the 99.9% lowest data points
*/
MetricStatistic["TS999_TOP"] = "TS(99.9%:100%)";
/**
* trimmed sum; calculates the sum after removing the 99.99% lowest data points
*/
MetricStatistic["TS9999_TOP"] = "TS(99.99%:100%)";
/**
* winsorized mean; calculates the average while treating the 50% of the highest values to be equal to the value at the 50th percentile
*/
MetricStatistic["WM50"] = "wm50";
/**
* winsorized mean; calculates the average while treating the 30% of the highest values to be equal to the value at the 70th percentile
*/
MetricStatistic["WM70"] = "wm70";
/**
* winsorized mean; calculates the average while treating the 10% of the highest values to be equal to the value at the 90th percentile
*/
MetricStatistic["WM90"] = "wm90";
/**
* winsorized mean; calculates the average while treating the 5% of the highest values to be equal to the value at the 95th percentile
*/
MetricStatistic["WM95"] = "wm95";
/**
* winsorized mean; calculates the average while treating the 1% of the highest values to be equal to the value at the 99th percentile
*/
MetricStatistic["WM99"] = "wm99";
/**
* winsorized mean; calculates the average while treating the 0.1% of the highest values to be equal to the value at the 99.9th percentile
*/
MetricStatistic["WM999"] = "wm99.9";
/**
* winsorized mean; calculates the average while treating the 0.01% of the highest values to be equal to the value at the 99.99th percentile
*/
MetricStatistic["WM9999"] = "wm99.99";
/**
* winsorized mean; calculates the average while treating the highest 1% of data points to be the value of the 99% boundary, and treating the lowest 1% of data points to be the value of the 1% boundary
*/
MetricStatistic["WM99_BOTH"] = "WM(1%:99%)";
/**
* winsorized mean; calculates the average while treating the highest 5% of data points to be the value of the 95% boundary, and treating the lowest 5% of data points to be the value of the 5% boundary
*/
MetricStatistic["WM95_BOTH"] = "WM(5%:95%)";
/**
* winsorized mean; calculates the average while treating the highest 10% of data points to be the value of the 90% boundary, and treating the lowest 10% of data points to be the value of the 10% boundary
*/
MetricStatistic["WM90_BOTH"] = "WM(10%:90%)";
/**
* winsorized mean; calculates the average while treating the highest 15% of data points to be the value of the 85% boundary, and treating the lowest 15% of data points to be the value of the 15% boundary
*/
MetricStatistic["WM85_BOTH"] = "WM(15%:85%)";
/**
* winsorized mean; calculates the average while treating the highest 20% of data points to be the value of the 80% boundary, and treating the lowest 20% of data points to be the value of the 20% boundary
*/
MetricStatistic["WM80_BOTH"] = "WM(20%:80%)";
/**
* winsorized mean; calculates the average while treating the highest 25% of data points to be the value of the 75% boundary, and treating the lowest 25% of data points to be the value of the 25% boundary
*/
MetricStatistic["WM75_BOTH"] = "WM(25%:75%)";
/**
* winsorized mean; calculates the average while treating the highest 30% of data points to be the value of the 70% boundary, and treating the lowest 30% of data points to be the value of the 30% boundary
*/
MetricStatistic["WM70_BOTH"] = "WM(30%:70%)";
/**
* minimum of all datapoints
*/
MetricStatistic["MIN"] = "Minimum";
/**
* maximum of all datapoints
*/
MetricStatistic["MAX"] = "Maximum";
/**
* sum of all datapoints
*/
MetricStatistic["SUM"] = "Sum";
/**
* average of all datapoints
*/
MetricStatistic["AVERAGE"] = "Average";
/**
* number of datapoints
*/
MetricStatistic["N"] = "SampleCount";
})(MetricStatistic || (exports.MetricStatistic = MetricStatistic = {}));
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calculates the average after removing the 50% of data points with the highest values\n   */\n  TM50 = \"tm50\",\n  /**\n   * trimmed mean; calculates the average after removing the 30% of data points with the highest values\n   */\n  TM70 = \"tm70\",\n  /**\n   * trimmed mean; calculates the average after removing the 10% of data points with the highest values\n   */\n  TM90 = \"tm90\",\n  /**\n   * trimmed mean; calculates the average after removing the 5% of data points with the highest values\n   */\n  TM95 = \"tm95\",\n  /**\n   * trimmed mean; calculates the average after removing the 1% of data points with the highest values\n   */\n  TM99 = \"tm99\",\n  /**\n   * trimmed mean; calculates the average after removing the 0.1% of data points with the highest values\n   */\n  TM999 = \"tm99.9\",\n  /**\n   * trimmed mean; calculates the average after removing the 0.01% of data points with the highest values\n   */\n  TM9999 = \"tm99.99\",\n\n  /**\n   * trimmed mean; calculates the average after removing the 1% lowest data points and the 1% highest data points\n   */\n  TM99_BOTH = \"TM(1%:99%)\",\n  /**\n   * trimmed mean; calculates the average after removing the 5% lowest data points and the 5% highest data points\n   */\n  TM95_BOTH = \"TM(5%:95%)\",\n  /**\n   * trimmed mean; calculates the average after removing the 10% lowest data points and the 10% highest data points\n   */\n  TM90_BOTH = \"TM(10%:90%)\",\n  /**\n   * trimmed mean; calculates the average after removing the 15% lowest data points and the 15% highest data points\n   */\n  TM85_BOTH = \"TM(15%:85%)\",\n  /**\n   * trimmed mean; calculates the average after removing the 20% lowest data points and the 20% highest data points\n   */\n  TM80_BOTH = \"TM(20%:80%)\",\n  /**\n   * trimmed mean; calculates the average after removing the 25% lowest data points and the 25% highest data points\n   */\n  TM75_BOTH = \"TM(25%:75%)\",\n  /**\n   * trimmed mean; calculates the average after removing the 30% lowest data points and the 30% highest data points\n   */\n  TM70_BOTH = \"TM(30%:70%)\",\n\n  /**\n   * trimmed mean; calculates the average after removing the 95% lowest data points\n   */\n  TM95_TOP = \"TM(95%:100%)\",\n  /**\n   * trimmed mean; calculates the average after removing the 99% lowest data points\n   */\n  TM99_TOP = \"TM(99%:100%)\",\n  /**\n   * trimmed mean; calculates the average after removing the 99.9% lowest data points\n   */\n  TM999_TOP = \"TM(99.9%:100%)\",\n  /**\n   * trimmed mean; calculates the average after removing the 99.99% lowest data points\n   */\n  TM9999_TOP = \"TM(99.99%:100%)\",\n\n  /**\n   * trimmed sum; calculates the sum after removing the 50% of data points with the highest values\n   */\n  TS50 = \"ts50\",\n  /**\n   * trimmed sum; calculates the sum after removing the 30% of data points with the highest values\n   */\n  TS70 = \"ts70\",\n  /**\n   * trimmed sum; calculates the sum after removing the 10% of data points with the highest values\n   */\n  TS90 = \"ts90\",\n  /**\n   * trimmed sum; calculates the sum after removing the 5% of data points with the highest values\n   */\n  TS95 = \"ts95\",\n  /**\n   * trimmed sum; calculates the sum after removing the 1% of data points with the highest values\n   */\n  TS99 = \"ts99\",\n  /**\n   * trimmed sum; calculates the sum after removing the 0.1% of data points with the highest values\n   */\n  TS999 = \"ts99.9\",\n  /**\n   * trimmed sum; calculates the sum after removing the 0.01% of data points with the highest values\n   */\n  TS9999 = \"ts99.99\",\n\n  /**\n   * trimmed sum; calculates the sum after removing the 1% lowest data points and the 1% highest data points\n   */\n  TS99_BOTH = \"TS(1%:99%)\",\n  /**\n   * trimmed sum; calculates the sum after removing the 5% lowest data points and the 5% highest data points\n   */\n  TS95_BOTH = \"TS(5%:95%)\",\n  /**\n   * trimmed sum; calculates the sum after removing the 10% lowest data points and the 10% highest data points\n   */\n  TS90_BOTH = \"TS(10%:90%)\",\n  /**\n   * trimmed sum; calculates the sum after removing the 15% lowest data points and the 15% highest data points\n   */\n  TS85_BOTH = \"TS(15%:85%)\",\n  /**\n   * trimmed sum; calculates the sum after removing the 20% lowest data points and the 20% highest data points\n   */\n  TS80_BOTH = \"TS(20%:80%)\",\n  /**\n   * trimmed sum; calculates the sum after removing the 25% lowest data points and the 25% highest data points\n   */\n  TS75_BOTH = \"TS(25%:75%)\",\n  /**\n   * trimmed sum; calculates the sum after removing the 30% lowest data points and the 30% highest data points\n   */\n  TS70_BOTH = \"TS(30%:70%)\",\n\n  /**\n   * trimmed sum; calculates the sum after removing the 95% lowest data points\n   */\n  TS95_TOP = \"TS(95%:100%)\",\n  /**\n   * trimmed sum; calculates the sum after removing the 99% lowest data points\n   */\n  TS99_TOP = \"TS(99%:100%)\",\n  /**\n   * trimmed sum; calculates the sum after removing the 99.9% lowest data points\n   */\n  TS999_TOP = \"TS(99.9%:100%)\",\n  /**\n   * trimmed sum; calculates the sum after removing the 99.99% lowest data points\n   */\n  TS9999_TOP = \"TS(99.99%:100%)\",\n\n  /**\n   * winsorized mean; calculates the average while treating the 50% of the highest values to be equal to the value at the 50th percentile\n   */\n  WM50 = \"wm50\",\n  /**\n   * winsorized mean; calculates the average while treating the 30% of the highest values to be equal to the value at the 70th percentile\n   */\n  WM70 = \"wm70\",\n  /**\n   * winsorized mean; calculates the average while treating the 10% of the highest values to be equal to the value at the 90th percentile\n   */\n  WM90 = \"wm90\",\n  /**\n   * winsorized mean; calculates the average while treating the 5% of the highest values to be equal to the value at the 95th percentile\n   */\n  WM95 = \"wm95\",\n  /**\n   * winsorized mean; calculates the average while treating the 1% of the highest values to be equal to the value at the 99th percentile\n   */\n  WM99 = \"wm99\",\n  /**\n   * winsorized mean; calculates the average while treating the 0.1% of the highest values to be equal to the value at the 99.9th percentile\n   */\n  WM999 = \"wm99.9\",\n  /**\n   * winsorized mean; calculates the average while treating the 0.01% of the highest values to be equal to the value at the 99.99th percentile\n   */\n  WM9999 = \"wm99.99\",\n  /**\n   * winsorized mean; calculates the average while treating the highest 1% of data points to be the value of the 99% boundary, and treating the lowest 1% of data points to be the value of the 1% boundary\n   */\n  WM99_BOTH = \"WM(1%:99%)\",\n  /**\n   * winsorized mean; calculates the average while treating the highest 5% of data points to be the value of the 95% boundary, and treating the lowest 5% of data points to be the value of the 5% boundary\n   */\n  WM95_BOTH = \"WM(5%:95%)\",\n  /**\n   * winsorized mean; calculates the average while treating the highest 10% of data points to be the value of the 90% boundary, and treating the lowest 10% of data points to be the value of the 10% boundary\n   */\n  WM90_BOTH = \"WM(10%:90%)\",\n  /**\n   * winsorized mean; calculates the average while treating the highest 15% of data points to be the value of the 85% boundary, and treating the lowest 15% of data points to be the value of the 15% boundary\n   */\n  WM85_BOTH = \"WM(15%:85%)\",\n  /**\n   * winsorized mean; calculates the average while treating the highest 20% of data points to be the value of the 80% boundary, and treating the lowest 20% of data points to be the value of the 20% boundary\n   */\n  WM80_BOTH = \"WM(20%:80%)\",\n  /**\n   * winsorized mean; calculates the average while treating the highest 25% of data points to be the value of the 75% boundary, and treating the lowest 25% of data points to be the value of the 25% boundary\n   */\n  WM75_BOTH = \"WM(25%:75%)\",\n  /**\n   * winsorized mean; calculates the average while treating the highest 30% of data points to be the value of the 70% boundary, and treating the lowest 30% of data points to be the value of the 30% boundary\n   */\n  WM70_BOTH = \"WM(30%:70%)\",\n\n  /**\n   * minimum of all datapoints\n   */\n  MIN = \"Minimum\",\n  /**\n   * maximum of all datapoints\n   */\n  MAX = \"Maximum\",\n  /**\n   * sum of all datapoints\n   */\n  SUM = \"Sum\",\n  /**\n   * average of all datapoints\n   */\n  AVERAGE = \"Average\",\n  /**\n   * number of datapoints\n   */\n  N = \"SampleCount\",\n}\n"]}