Add auto-configuration for exporting metrics to Wavefront
See gh-12068
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committed by
Andy Wilkinson
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46eb88c299
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142dbb2213
@@ -1391,6 +1391,10 @@ content into your application. Rather, pick only the properties that you need.
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management.metrics.export.statsd.polling-frequency=10s # How often gauges will be polled. When a gauge is polled, its value is recalculated and if the value has changed, it is sent to the StatsD server.
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management.metrics.export.statsd.port=8125 # Port of the StatsD server to receive exported metrics.
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management.metrics.export.statsd.queue-size=2147483647 # Maximum size of the queue of items waiting to be sent to the StatsD server.
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management.metrics.export.wavefront.uri= # Optional custom URI for the Wavefront API or proxy.
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management.metrics.export.wavefront.source= # Uniquely identifies the app instance that is publishing metrics to Wavefront. Defaults to the local host name.
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management.metrics.export.wavefront.api-token= # Required when publishing directly to the Wavefront API host, otherwise does nothing.
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management.metrics.export.wavefront.global-prefix= # Setting a global prefix separates metrics originating from this app's whitebox instrumentation from those originating from other Wavefront integrations.
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management.metrics.use-global-registry=true # Whether auto-configured MeterRegistry implementations should be bound to the global static registry on Metrics.
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management.metrics.web.client.max-uri-tags=100 # Maximum number of unique URI tag values allowed. After the max number of tag values is reached, metrics with additional tag values are denied by filter.
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management.metrics.web.client.record-request-percentiles=false # Whether instrumented requests record percentiles histogram buckets by default.
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