Improve Micrometer histogram properties support
This commit adds configuration properties for Micrometer histogram settings: "minimumExpectedValue" and "maximumExpectedValue". See gh-14139
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committed by
Stephane Nicoll
parent
5607fcae85
commit
c1c79ab1c2
@@ -1380,6 +1380,8 @@ content into your application. Rather, pick only the properties that you need.
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# METRICS
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management.metrics.distribution.percentiles-histogram.*= # Whether meter IDs starting with the specified name should publish percentile histograms.
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management.metrics.distribution.minimum-expected-value.*= # Minimum limit on the histogram buckets for IDs starting with the specified name. The longest match wins, the key `all` can also be used to configure all meters.
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management.metrics.distribution.maximum-expected-value.*= # Maximum limit on the histogram buckets for IDs starting with the specified name. The longest match wins, the key `all` can also be used to configure all meters.
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management.metrics.distribution.percentiles.*= # Specific computed non-aggregable percentiles to ship to the backend for meter IDs starting-with the specified name.
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management.metrics.distribution.sla.*= # Specific SLA boundaries for meter IDs starting-with the specified name. The longest match wins.
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management.metrics.enable.*= # Whether meter IDs starting-with the specified name should be enabled. The longest match wins, the key `all` can also be used to configure all meters.
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@@ -2051,6 +2051,10 @@ The following properties allow per-meter customization:
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| Whether to publish a histogram suitable for computing aggregable (across dimension)
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percentile approximations.
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| `management.metrics.distribution.minimum-expected-value`
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| `management.metrics.distribution.maximum-expected-value`
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| Publish less histogram buckets by clamping the range of expected values.
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| `management.metrics.distribution.percentiles`
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| Publish percentile values computed in your application
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