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Kafka Metrics

The JMX Metric Gatherer provides built in Kafka metric gathering capabilities for versions v0.8.2.x and above. These metrics are sourced from Kafka's exposed Yammer metrics for each instance: https://kafka.apache.org/documentation/#monitoring

Metrics

Broker Metrics

  • Name: kafka.message.count

  • Description: The number of messages received by the broker

  • Unit: {messages}

  • Instrument Type: LongCounterObserver

  • Name: kafka.request.count

  • Description: The number of requests received by the broker

  • Unit: {requests}

  • Attributes: type

  • Instrument Type: LongCounterObserver

  • Name: kafka.request.failed

  • Description: The number of requests to the broker resulting in a failure

  • Unit: {requests}

  • Attributes: type

  • Instrument Type: LongCounterObserver

  • Name: kafka.request.time.total

  • Description: The total time the broker has taken to service requests

  • Unit: ms

  • Attributes: type

  • Instrument Type: LongCounterObserver

  • Name: kafka.request.time.50p

  • Description: The 50th percentile time the broker has taken to service requests

  • Unit: ms

  • Attributes: type

  • Instrument Type: DoubleValueObserver

  • Name: kafka.request.time.99p

  • Description: The 99th percentile time the broker has taken to service requests

  • Unit: ms

  • Attributes: type

  • Instrument Type: DoubleValueObserver

  • Name: kafka.request.time.avg

  • Description: The average time the broker has taken to service requests

  • Unit: ms

  • Attributes: type

  • Instrument Type: DoubleValueObserver

  • Name: kafka.network.io

  • Description: The bytes received or sent by the broker

  • Unit: by

  • Attributes: state

  • Instrument Type: LongCounterObserver

  • Name: kafka.purgatory.size

  • Description: The number of requests waiting in purgatory

  • Unit: {requests}

  • Attributes: type

  • Instrument Type: LongValueObserver

  • Name: kafka.partition.count

  • Description: The number of partitions on the broker

  • Unit: {partitions}

  • Instrument Type: LongValueObserver

  • Name: kafka.partition.offline

  • Description: The number of partitions offline

  • Unit: {partitions}

  • Instrument Type: LongValueObserver

  • Name: kafka.partition.under_replicated

  • Description: The number of under replicated partitions

  • Unit: {partitions}

  • Instrument Type: LongValueObserver

  • Name: kafka.isr.operation.count

  • Description: The number of in-sync replica shrink and expand operations

  • Unit: {operations}

  • Attributes: operation

  • Instrument Type: LongCounterObserver

  • Name: kafka.max.lag

  • Description: Max lag in messages between follower and leader replicas

  • Unit: {messages}

  • Instrument Type: LongValueObserver

  • Name: kafka.controller.active.count

  • Description: Controller is active on broker

  • Unit: {controllers}

  • Instrument Type: LongValueObserver

  • Name: kafka.leader.election.rate

  • Description: Leader election rate - increasing indicates broker failures

  • Unit: {elections}

  • Instrument Type: LongCounterObserver

  • Name: kafka.unclean.election.rate

  • Description: Unclean leader election rate - increasing indicates broker failures

  • Unit: {elections}

  • Instrument Type: LongCounterObserver

  • Name: kafka.request.queue

  • Description: Size of the request queue

  • Unit: {requests}

  • Instrument Type: LongValueObserver

Log metrics

  • Name: kafka.logs.flush.time.count

  • Description: Log flush count

  • Unit: ms

  • Instrument Type: LongSumObserver

  • Name: kafka.logs.flush.time.median

  • Description: Log flush time - 50th percentile

  • Unit: ms

  • Instrument Type: DoubleValueObserver

  • Name: kafka.logs.flush.time.99p

  • Description: Log flush time - 99th percentile

  • Unit: ms

  • Instrument Type: DoubleValueObserver