class MetricFactory extends AnyRef

Creates new metric instances taking default and custom settings into account. This class only handles the creation and configuration of metrics and does not do any effort on checking whether a metric has already been created or not; that kind of verification is handled on the Kamon metric registry.

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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  6. def counter(name: String, description: Option[String], unit: Option[MeasurementUnit], autoUpdateInterval: Option[Duration]): BaseMetric[Counter, ForValueInstrument, Long] with Metric.Counter

    Creates a new counter-based metric, backed by the Counter.LongAdder implementation.

  7. final def eq(arg0: AnyRef): Boolean
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  8. def equals(arg0: AnyRef): Boolean
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  9. def finalize(): Unit
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  10. def gauge(name: String, description: Option[String], unit: Option[MeasurementUnit], autoUpdateInterval: Option[Duration]): BaseMetric[Gauge, ForValueInstrument, Double] with Metric.Gauge

    Creates a new counter-based metric, backed by the Counter.LongAdder implementation.

  11. final def getClass(): Class[_ <: AnyRef]
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  12. def hashCode(): Int
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  13. def histogram(name: String, description: Option[String], unit: Option[MeasurementUnit], dynamicRange: Option[DynamicRange], autoUpdateInterval: Option[Duration]): BaseMetric[Histogram, ForDistributionInstrument, Distribution] with Metric.Histogram

    Creates a new histogram-based metric, backed by the Histogram.Atomic implementation.

  14. final def isInstanceOf[T0]: Boolean
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  15. final def ne(arg0: AnyRef): Boolean
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  16. final def notify(): Unit
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  17. final def notifyAll(): Unit
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  18. def rangeSampler(name: String, description: Option[String], unit: Option[MeasurementUnit], dynamicRange: Option[DynamicRange], autoUpdateInterval: Option[Duration]): BaseMetric[RangeSampler, ForDistributionInstrument, Distribution] with Metric.RangeSampler

    Creates a new histogram-based metric, backed by the Histogram.Atomic implementation.

  19. final def synchronized[T0](arg0: => T0): T0
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  20. def timer(name: String, description: Option[String], unit: Option[MeasurementUnit], dynamicRange: Option[DynamicRange], autoUpdateInterval: Option[Duration]): BaseMetric[Timer, ForDistributionInstrument, Distribution] with Metric.Timer

    Creates a new histogram-based metric, backed by the Histogram.Atomic implementation.

  21. def toString(): String
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  22. final def wait(): Unit
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  23. final def wait(arg0: Long, arg1: Int): Unit
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  24. final def wait(arg0: Long): Unit
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