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Classes Class Description io.micrometer.core.instrument.binder.jetty.JettyStatisticsMetrics io.micrometer.core.instrument.binder.kafka.KafkaConsumerMetrics useKafkaClientMetricsinstead since 1.4.0
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Exceptions Exceptions Description io.micrometer.core.instrument.config.MissingRequiredConfigurationException since 1.5.0 replaced withValidatedAPI.
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Fields Field Description io.micrometer.core.instrument.binder.httpcomponents.MicrometerHttpRequestExecutor.DEFAULT_URI_PATTERN_HEADER useDefaultUriMapper.URI_PATTERN_HEADERsince 1.4.0
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Constructors Constructor Description io.micrometer.core.instrument.AbstractTimer(Meter.Id, Clock, DistributionStatisticConfig, PauseDetector, TimeUnit) Timer implementations should now declare at construction time whether they support aggregable percentiles or not. By declaring it up front, Micrometer can memory optimize the histogram structure used to store distribution statistics.io.micrometer.core.instrument.binder.jpa.HibernateMetrics(EntityManagerFactory, String, Iterable<Tag>) since 1.1.2 in favor ofHibernateMetrics(SessionFactory, String, Iterable)io.micrometer.core.instrument.cumulative.CumulativeDistributionSummary(Meter.Id, Clock, DistributionStatisticConfig, double) io.micrometer.core.instrument.distribution.CountAtBucket(long, double) UseCountAtBucket(double, double)instead since 1.4.0.io.micrometer.core.instrument.internal.DefaultLongTaskTimer(Meter.Id, Clock)
TimedHandlerinstead.