Interface Histogram

📊 Histogram represents a metric calculated by aggregating as a Histogram.

Histograms are perfect for tracking distributions of values like request durations, file sizes, or operation timing. They provide count, sum, and bucket information for statistical analysis.

Example

const requestDurationHistogram: Histogram = {
  dataPoints: [
    {
      attributes: [
        { key: "endpoint", value: { stringValue: "/api/mine" } }
      ],
      startTimeUnixNano: "1640995200000000000",
      timeUnixNano: "1640995260000000000",
      count: 100,
      sum: 1250.5,
      bucketCounts: [10, 25, 40, 20, 5],
      explicitBounds: [0.1, 0.5, 1.0, 2.0],
      exemplars: [],
      flags: 0,
      min: 0.05,
      max: 3.2
    }
  ],
  aggregationTemporality: AggregationTemporality.CUMULATIVE
};
interface Histogram {
    aggregationTemporality: AggregationTemporality;
    dataPoints: HistogramDataPoint[];
}

Properties

aggregationTemporality dataPoints

Properties

aggregationTemporality

aggregationTemporality: AggregationTemporality

How the aggregation is performed over time

dataPoints

dataPoints: HistogramDataPoint[]

Array of histogram data points

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