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PerformanceInsightsMetricsDetail

import type { PerformanceInsightsMetricsDetail } from "https://aws-api.deno.dev/v0.3/services/devopsguru.ts?docs=full";

Details about Performance Insights metrics.

Amazon RDS Performance Insights enables you to monitor and explore different dimensions of database load based on data captured from a running DB instance. DB load is measured as average active sessions. Performance Insights provides the data to API consumers as a two-dimensional time-series dataset. The time dimension provides DB load data for each time point in the queried time range. Each time point decomposes overall load in relation to the requested dimensions, measured at that time point. Examples include SQL, Wait event, User, and Host.

interface PerformanceInsightsMetricsDetail {
MetricDisplayName?: string | null;
MetricQuery?: PerformanceInsightsMetricQuery | null;
ReferenceData?: PerformanceInsightsReferenceData[] | null;
StatsAtAnomaly?: PerformanceInsightsStat[] | null;
StatsAtBaseline?: PerformanceInsightsStat[] | null;
Unit?: string | null;
}

§Properties

§
MetricDisplayName?: string | null
[src]

The name used for a specific Performance Insights metric.

§

A single query to be processed for the metric. For more information, see [PerformanceInsightsMetricQuery](https://docs.aws.amazon.com/devops-guru/latest/APIReference/API_PerformanceInsightsMetricQuery.html).

§
ReferenceData?: PerformanceInsightsReferenceData[] | null
[src]

For more information, see [PerformanceInsightsReferenceData](https://docs.aws.amazon.com/devops-guru/latest/APIReference/API_PerformanceInsightsReferenceData.html).

§
StatsAtAnomaly?: PerformanceInsightsStat[] | null
[src]

The metric statistics during the anomalous period detected by DevOps Guru;

§
StatsAtBaseline?: PerformanceInsightsStat[] | null
[src]

Typical metric statistics that are not considered anomalous. When DevOps Guru analyzes metrics, it compares them to StatsAtBaseline to help determine if they are anomalous.

§
Unit?: string | null
[src]

The unit of measure for a metric. For example, a session or a process.