Chapter 8. Monitoring your cluster using JMX ZooKeeper, the Kafka broker, Kafka Connect, and the Kafka clients all expose management information using Java Management Extensions (JMX). Most management information is in the form of metrics that are useful for monitoring the condition and performance of your Kafka cluster. Like other Java applications, Kafka provides this management information through managed beans or MBeans. JMX works at the level of the JVM (Java Virtual Machine). To obtain management information, external tools can connect to the JVM that is running ZooKeeper, the Kafka broker, and so on. By default, only tools on the same machine and running as the same user as the JVM are able to connect. Note Management information for ZooKeeper is not documented here. You can view ZooKeeper metrics in JConsole. For more information, see Monitoring using JConsole . 8.1. JMX configuration options You configure JMX using JVM system properties. The scripts provided with AMQ Streams ( bin/kafka-server-start.sh and bin/connect-distributed.sh , and so on) use the KAFKA_JMX_OPTS environment variable to set these system properties. The system properties for configuring JMX are the same, even though Kafka producer, consumer, and streams applications typically start the JVM in different ways. 8.2. Disabling the JMX agent You can prevent local JMX tools from connecting to the JVM (for example, for compliance reasons) by disabling the JMX agent for an AMQ Streams component. The following procedure explains how to disable the JMX agent for a Kafka broker. Procedure Use the KAFKA_JMX_OPTS environment variable to set com.sun.management.jmxremote to false . export KAFKA_JMX_OPTS=-Dcom.sun.management.jmxremote=false bin/kafka-server-start.sh Start the JVM. 8.3. Connecting to the JVM from a different machine You can connect to the JVM from a different machine by configuring the port that the JMX agent listens on. This is insecure because it allows JMX tools to connect from anywhere, with no authentication. Procedure Use the KAFKA_JMX_OPTS environment variable to set -Dcom.sun.management.jmxremote.port= <port> . For <port> , enter the name of the port on which you want the Kafka broker to listen for JMX connections. export KAFKA_JMX_OPTS="-Dcom.sun.management.jmxremote=true -Dcom.sun.management.jmxremote.port= <port> -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false" bin/kafka-server-start.sh Start the JVM. Important It is recommended that you configure authentication and SSL to ensure that the remote JMX connection is secure. For more information about the system properties needed to do this, see the JMX documentation . 8.4. Monitoring using JConsole The JConsole tool is distributed with the Java Development Kit (JDK). You can use JConsole to connect to a local or remote JVM and discover and display management information from Java applications. If using JConsole to connect to a local JVM, the names of the JVM processes corresponding to the different components of AMQ Streams. Table 8.1. JVM processes for AMQ Streams components AMQ Streams component JVM process ZooKeeper org.apache.zookeeper.server.quorum.QuorumPeerMain Kafka broker kafka.Kafka Kafka Connect standalone org.apache.kafka.connect.cli.ConnectStandalone Kafka Connect distributed org.apache.kafka.connect.cli.ConnectDistributed A Kafka producer, consumer, or Streams application The name of the class containing the main method for the application. When using JConsole to connect to a remote JVM, use the appropriate host name and JMX port. Many other tools and monitoring products can be used to fetch the metrics using JMX and provide monitoring and alerting based on those metrics. Refer to the product documentation for those tools. 8.5. Important Kafka broker metrics Kafka provides many MBeans for monitoring the performance of the brokers in your Kafka cluster. These apply to an individual broker rather than the entire cluster. The following tables present a selection of these broker-level MBeans organized into server, network, logging, and controller metrics. 8.5.1. Kafka server metrics The following table shows a selection of metrics that report information about the Kafka server. Table 8.2. Metrics for the Kafka server Metric MBean Description Expected value Messages in per second kafka.server:type=BrokerTopicMetrics,name=MessagesInPerSec The rate at which individual messages are consumed by the broker. Approximately the same as the other brokers in the cluster. Bytes in per second kafka.server:type=BrokerTopicMetrics,name=BytesInPerSec The rate at which data sent from producers is consumed by the broker. Approximately the same as the other brokers in the cluster. Replication bytes in per second kafka.server:type=BrokerTopicMetrics,name=ReplicationBytesInPerSec The rate at which data sent from other brokers is consumed by the follower broker. N/A Bytes out per second kafka.server:type=BrokerTopicMetrics,name=BytesOutPerSec The rate at which data is fetched and read from the broker by consumers. N/A Replication bytes out per second kafka.server:type=BrokerTopicMetrics,name=ReplicationBytesOutPerSec The rate at which data is sent from the broker to other brokers. This metric is useful to monitor if the broker is a leader for a group of partitions. N/A Under-replicated partitions kafka.server:type=ReplicaManager,name=UnderReplicatedPartitions The number of partitions that have not been fully replicated in the follower replicas. Zero Under minimum ISR partition count kafka.server:type=ReplicaManager,name=UnderMinIsrPartitionCount The number of partitions under the minimum In-Sync Replica (ISR) count. The ISR count indicates the set of replicas that are up-to-date with the leader. Zero Partition count kafka.server:type=ReplicaManager,name=PartitionCount The number of partitions in the broker. Approximately even when compared with the other brokers. Leader count kafka.server:type=ReplicaManager,name=LeaderCount The number of replicas for which this broker is the leader. Approximately the same as the other brokers in the cluster. ISR shrinks per second kafka.server:type=ReplicaManager,name=IsrShrinksPerSec The rate at which the number of ISRs in the broker decreases Zero ISR expands per second kafka.server:type=ReplicaManager,name=IsrExpandsPerSec The rate at which the number of ISRs in the broker increases. Zero Maximum lag kafka.server:type=ReplicaFetcherManager,name=MaxLag,clientId=Replica The maximum lag between the time that messages are received by the leader replica and by the follower replicas. Proportional to the maximum batch size of a produce request. Requests in producer purgatory kafka.server:type=DelayedOperationPurgatory,name=PurgatorySize,delayedOperation=Produce The number of send requests in the producer purgatory. N/A Requests in fetch purgatory kafka.server:type=DelayedOperationPurgatory,name=PurgatorySize,delayedOperation=Fetch The number of fetch requests in the fetch purgatory. N/A Request handler average idle percent kafka.server:type=KafkaRequestHandlerPool,name=RequestHandlerAvgIdlePercent Indicates the percentage of time that the request handler (IO) threads are not in use. A lower value indicates that the workload of the broker is high. Request (Requests exempt from throttling) kafka.server:type=Request The number of requests that are exempt from throttling. N/A ZooKeeper request latency in milliseconds kafka.server:type=ZooKeeperClientMetrics,name=ZooKeeperRequestLatencyMs The latency for ZooKeeper requests from the broker, in milliseconds. N/A ZooKeeper session state kafka.server:type=SessionExpireListener,name=SessionState The status of the broker's connection to ZooKeeper. CONNECTED 8.5.2. Kafka network metrics The following table shows a selection of metrics that report information about requests. Metric MBean Description Expected value Requests per second kafka.network:type=RequestMetrics,name=RequestsPerSec,request={Produce|FetchConsumer|FetchFollower} The total number of requests made for the request type per second. The Produce , FetchConsumer , and FetchFollower request types each have their own MBeans. N/A Request bytes (request size in bytes) kafka.network:type=RequestMetrics,name=RequestBytes,request=([-.\w]+) The size of requests, in bytes, made for the request type identified by the request property of the MBean name. Separate MBeans for all available request types are listed under the RequestBytes node. N/A Temporary memory size in bytes kafka.network:type=RequestMetrics,name=TemporaryMemoryBytes,request={Produce|Fetch} The amount of temporary memory used for converting message formats and decompressing messages. N/A Message conversions time kafka.network:type=RequestMetrics,name=MessageConversionsTimeMs,request={Produce|Fetch} Time, in milliseconds, spent on converting message formats. N/A Total request time in milliseconds kafka.network:type=RequestMetrics,name=TotalTimeMs,request={Produce|FetchConsumer|FetchFollower} Total time, in milliseconds, spent processing requests. N/A Request queue time in milliseconds kafka.network:type=RequestMetrics,name=RequestQueueTimeMs,request={Produce|FetchConsumer|FetchFollower} The time, in milliseconds, that a request currently spends in the queue for the request type given in the request property. N/A Local time (leader local processing time) in milliseconds kafka.network:type=RequestMetrics,name=LocalTimeMs,request={Produce|FetchConsumer|FetchFollower} The time taken, in milliseconds, for the leader to process the request. N/A Remote time (leader remote processing time) in milliseconds kafka.network:type=RequestMetrics,name=RemoteTimeMs,request={Produce|FetchConsumer|FetchFollower} The length of time, in milliseconds, that the request waits for the follower. Separate MBeans for all available request types are listed under the RemoteTimeMs node. N/A Response queue time in milliseconds kafka.network:type=RequestMetrics,name=ResponseQueueTimeMs,request={Produce|FetchConsumer|FetchFollower} The length of time, in milliseconds, that the request waits in the response queue. N/A Response send time in milliseconds kafka.network:type=RequestMetrics,name=ResponseSendTimeMs,request={Produce|FetchConsumer|FetchFollower} The time taken, in milliseconds, to send the response. N/A Network processor average idle percent kafka.network:type=SocketServer,name=NetworkProcessorAvgIdlePercent The average percentage of time that the network processors are idle. Between zero and one. 8.5.3. Kafka log metrics The following table shows a selection of metrics that report information about logging. Metric MBean Description Expected Value Log flush rate and time in milliseconds kafka.log:type=LogFlushStats,name=LogFlushRateAndTimeMs The rate at which log data is written to disk, in milliseconds. N/A Offline log directory count kafka.log:type=LogManager,name=OfflineLogDirectoryCount The number of offline log directories (for example, after a hardware failure). Zero 8.5.4. Kafka controller metrics The following table shows a selection of metrics that report information about the controller of the cluster. Metric MBean Description Expected Value Active controller count kafka.controller:type=KafkaController,name=ActiveControllerCount The number of brokers designated as controllers. One indicates that the broker is the controller for the cluster. Leader election rate and time in milliseconds kafka.controller:type=ControllerStats,name=LeaderElectionRateAndTimeMs The rate at which new leader replicas are elected. Zero 8.5.5. Yammer metrics Metrics that express a rate or unit of time are provided as Yammer metrics. The class name of an MBean that uses Yammer metrics is prefixed with com.yammer.metrics . Yammer rate metrics have the following attributes for monitoring requests: Count EventType (Bytes) FifteenMinuteRate RateUnit (Seconds) MeanRate OneMinuteRate FiveMinuteRate Yammer time metrics have the following attributes for monitoring requests: Max Min Mean StdDev 75/95/98/99/99.9 th Percentile 8.6. Producer MBeans The following MBeans will exist in Kafka producer applications, including Kafka Streams applications and Kafka Connect with source connectors. 8.6.1. MBeans matching kafka.producer:type=producer-metrics,client-id=* These are metrics at the producer level. Attribute Description batch-size-avg The average number of bytes sent per partition per-request. batch-size-max The max number of bytes sent per partition per-request. batch-split-rate The average number of batch splits per second. batch-split-total The total number of batch splits. buffer-available-bytes The total amount of buffer memory that is not being used (either unallocated or in the free list). buffer-total-bytes The maximum amount of buffer memory the client can use (whether or not it is currently used). bufferpool-wait-time The fraction of time an appender waits for space allocation. compression-rate-avg The average compression rate of record batches. connection-close-rate Connections closed per second in the window. connection-count The current number of active connections. connection-creation-rate New connections established per second in the window. failed-authentication-rate Connections that failed authentication. incoming-byte-rate Bytes/second read off all sockets. io-ratio The fraction of time the I/O thread spent doing I/O. io-time-ns-avg The average length of time for I/O per select call in nanoseconds. io-wait-ratio The fraction of time the I/O thread spent waiting. io-wait-time-ns-avg The average length of time the I/O thread spent waiting for a socket ready for reads or writes in nanoseconds. metadata-age The age in seconds of the current producer metadata being used. network-io-rate The average number of network operations (reads or writes) on all connections per second. outgoing-byte-rate The average number of outgoing bytes sent per second to all servers. produce-throttle-time-avg The average time in ms a request was throttled by a broker. produce-throttle-time-max The maximum time in ms a request was throttled by a broker. record-error-rate The average per-second number of record sends that resulted in errors. record-error-total The total number of record sends that resulted in errors. record-queue-time-avg The average time in ms record batches spent in the send buffer. record-queue-time-max The maximum time in ms record batches spent in the send buffer. record-retry-rate The average per-second number of retried record sends. record-retry-total The total number of retried record sends. record-send-rate The average number of records sent per second. record-send-total The total number of records sent. record-size-avg The average record size. record-size-max The maximum record size. records-per-request-avg The average number of records per request. request-latency-avg The average request latency in ms. request-latency-max The maximum request latency in ms. request-rate The average number of requests sent per second. request-size-avg The average size of all requests in the window. request-size-max The maximum size of any request sent in the window. requests-in-flight The current number of in-flight requests awaiting a response. response-rate Responses received sent per second. select-rate Number of times the I/O layer checked for new I/O to perform per second. successful-authentication-rate Connections that were successfully authenticated using SASL or SSL. waiting-threads The number of user threads blocked waiting for buffer memory to enqueue their records. 8.6.2. MBeans matching kafka.producer:type=producer-metrics,client-id=*,node-id=* These are metrics at the producer level about connection to each broker. Attribute Description incoming-byte-rate The average number of responses received per second for a node. outgoing-byte-rate The average number of outgoing bytes sent per second for a node. request-latency-avg The average request latency in ms for a node. request-latency-max The maximum request latency in ms for a node. request-rate The average number of requests sent per second for a node. request-size-avg The average size of all requests in the window for a node. request-size-max The maximum size of any request sent in the window for a node. response-rate Responses received sent per second for a node. 8.6.3. MBeans matching kafka.producer:type=producer-topic-metrics,client-id=*,topic=* These are metrics at the topic level about topics the producer is sending messages to. Attribute Description byte-rate The average number of bytes sent per second for a topic. byte-total The total number of bytes sent for a topic. compression-rate The average compression rate of record batches for a topic. record-error-rate The average per-second number of record sends that resulted in errors for a topic. record-error-total The total number of record sends that resulted in errors for a topic. record-retry-rate The average per-second number of retried record sends for a topic. record-retry-total The total number of retried record sends for a topic. record-send-rate The average number of records sent per second for a topic. record-send-total The total number of records sent for a topic. 8.7. Consumer MBeans The following MBeans will exist in Kafka consumer applications, including Kafka Streams applications and Kafka Connect with sink connectors. 8.7.1. MBeans matching kafka.consumer:type=consumer-metrics,client-id=* These are metrics at the consumer level. Attribute Description connection-close-rate Connections closed per second in the window. connection-count The current number of active connections. connection-creation-rate New connections established per second in the window. failed-authentication-rate Connections that failed authentication. incoming-byte-rate Bytes/second read off all sockets. io-ratio The fraction of time the I/O thread spent doing I/O. io-time-ns-avg The average length of time for I/O per select call in nanoseconds. io-wait-ratio The fraction of time the I/O thread spent waiting. io-wait-time-ns-avg The average length of time the I/O thread spent waiting for a socket ready for reads or writes in nanoseconds. network-io-rate The average number of network operations (reads or writes) on all connections per second. outgoing-byte-rate The average number of outgoing bytes sent per second to all servers. request-rate The average number of requests sent per second. request-size-avg The average size of all requests in the window. request-size-max The maximum size of any request sent in the window. response-rate Responses received sent per second. select-rate Number of times the I/O layer checked for new I/O to perform per second. successful-authentication-rate Connections that were successfully authenticated using SASL or SSL. 8.7.2. MBeans matching kafka.consumer:type=consumer-metrics,client-id=*,node-id=* These are metrics at the consumer level about connection to each broker. Attribute Description incoming-byte-rate The average number of responses received per second for a node. outgoing-byte-rate The average number of outgoing bytes sent per second for a node. request-latency-avg The average request latency in ms for a node. request-latency-max The maximum request latency in ms for a node. request-rate The average number of requests sent per second for a node. request-size-avg The average size of all requests in the window for a node. request-size-max The maximum size of any request sent in the window for a node. response-rate Responses received sent per second for a node. 8.7.3. MBeans matching kafka.consumer:type=consumer-coordinator-metrics,client-id=* These are metrics at the consumer level about the consumer group. Attribute Description assigned-partitions The number of partitions currently assigned to this consumer. commit-latency-avg The average time taken for a commit request. commit-latency-max The max time taken for a commit request. commit-rate The number of commit calls per second. heartbeat-rate The average number of heartbeats per second. heartbeat-response-time-max The max time taken to receive a response to a heartbeat request. join-rate The number of group joins per second. join-time-avg The average time taken for a group rejoin. join-time-max The max time taken for a group rejoin. last-heartbeat-seconds-ago The number of seconds since the last controller heartbeat. sync-rate The number of group syncs per second. sync-time-avg The average time taken for a group sync. sync-time-max The max time taken for a group sync. 8.7.4. MBeans matching kafka.consumer:type=consumer-fetch-manager-metrics,client-id=* These are metrics at the consumer level about the consumer's fetcher. Attribute Description bytes-consumed-rate The average number of bytes consumed per second. bytes-consumed-total The total number of bytes consumed. fetch-latency-avg The average time taken for a fetch request. fetch-latency-max The max time taken for any fetch request. fetch-rate The number of fetch requests per second. fetch-size-avg The average number of bytes fetched per request. fetch-size-max The maximum number of bytes fetched per request. fetch-throttle-time-avg The average throttle time in ms. fetch-throttle-time-max The maximum throttle time in ms. fetch-total The total number of fetch requests. records-consumed-rate The average number of records consumed per second. records-consumed-total The total number of records consumed. records-lag-max The maximum lag in terms of number of records for any partition in this window. records-lead-min The minimum lead in terms of number of records for any partition in this window. records-per-request-avg The average number of records in each request. 8.7.5. MBeans matching kafka.consumer:type=consumer-fetch-manager-metrics,client-id=*,topic=* These are metrics at the topic level about the consumer's fetcher. Attribute Description bytes-consumed-rate The average number of bytes consumed per second for a topic. bytes-consumed-total The total number of bytes consumed for a topic. fetch-size-avg The average number of bytes fetched per request for a topic. fetch-size-max The maximum number of bytes fetched per request for a topic. records-consumed-rate The average number of records consumed per second for a topic. records-consumed-total The total number of records consumed for a topic. records-per-request-avg The average number of records in each request for a topic. 8.7.6. MBeans matching kafka.consumer:type=consumer-fetch-manager-metrics,client-id=*,topic=*,partition=* These are metrics at the partition level about the consumer's fetcher. Attribute Description preferred-read-replica The current read replica for the partition, or -1 if reading from leader. records-lag The latest lag of the partition. records-lag-avg The average lag of the partition. records-lag-max The max lag of the partition. records-lead The latest lead of the partition. records-lead-avg The average lead of the partition. records-lead-min The min lead of the partition. 8.8. Kafka Connect MBeans Note Kafka Connect will contain the producer MBeans for source connectors and consumer MBeans for sink connectors in addition to those documented here. 8.8.1. MBeans matching kafka.connect:type=connect-metrics,client-id=* These are metrics at the connect level. Attribute Description connection-close-rate Connections closed per second in the window. connection-count The current number of active connections. connection-creation-rate New connections established per second in the window. failed-authentication-rate Connections that failed authentication. incoming-byte-rate Bytes/second read off all sockets. io-ratio The fraction of time the I/O thread spent doing I/O. io-time-ns-avg The average length of time for I/O per select call in nanoseconds. io-wait-ratio The fraction of time the I/O thread spent waiting. io-wait-time-ns-avg The average length of time the I/O thread spent waiting for a socket ready for reads or writes in nanoseconds. network-io-rate The average number of network operations (reads or writes) on all connections per second. outgoing-byte-rate The average number of outgoing bytes sent per second to all servers. request-rate The average number of requests sent per second. request-size-avg The average size of all requests in the window. request-size-max The maximum size of any request sent in the window. response-rate Responses received sent per second. select-rate Number of times the I/O layer checked for new I/O to perform per second. successful-authentication-rate Connections that were successfully authenticated using SASL or SSL. 8.8.2. MBeans matching kafka.connect:type=connect-metrics,client-id=*,node-id=* These are metrics at the connect level about connection to each broker. Attribute Description incoming-byte-rate The average number of responses received per second for a node. outgoing-byte-rate The average number of outgoing bytes sent per second for a node. request-latency-avg The average request latency in ms for a node. request-latency-max The maximum request latency in ms for a node. request-rate The average number of requests sent per second for a node. request-size-avg The average size of all requests in the window for a node. request-size-max The maximum size of any request sent in the window for a node. response-rate Responses received sent per second for a node. 8.8.3. MBeans matching kafka.connect:type=connect-worker-metrics These are metrics at the connect level. Attribute Description connector-count The number of connectors run in this worker. connector-startup-attempts-total The total number of connector startups that this worker has attempted. connector-startup-failure-percentage The average percentage of this worker's connectors starts that failed. connector-startup-failure-total The total number of connector starts that failed. connector-startup-success-percentage The average percentage of this worker's connectors starts that succeeded. connector-startup-success-total The total number of connector starts that succeeded. task-count The number of tasks run in this worker. task-startup-attempts-total The total number of task startups that this worker has attempted. task-startup-failure-percentage The average percentage of this worker's tasks starts that failed. task-startup-failure-total The total number of task starts that failed. task-startup-success-percentage The average percentage of this worker's tasks starts that succeeded. task-startup-success-total The total number of task starts that succeeded. 8.8.4. MBeans matching kafka.connect:type=connect-worker-rebalance-metrics Attribute Description completed-rebalances-total The total number of rebalances completed by this worker. connect-protocol The Connect protocol used by this cluster. epoch The epoch or generation number of this worker. leader-name The name of the group leader. rebalance-avg-time-ms The average time in milliseconds spent by this worker to rebalance. rebalance-max-time-ms The maximum time in milliseconds spent by this worker to rebalance. rebalancing Whether this worker is currently rebalancing. time-since-last-rebalance-ms The time in milliseconds since this worker completed the most recent rebalance. 8.8.5. MBeans matching kafka.connect:type=connector-metrics,connector=* Attribute Description connector-class The name of the connector class. connector-type The type of the connector. One of 'source' or 'sink'. connector-version The version of the connector class, as reported by the connector. status The status of the connector. One of 'unassigned', 'running', 'paused', 'failed', or 'destroyed'. 8.8.6. MBeans matching kafka.connect:type=connector-task-metrics,connector=*,task=* Attribute Description batch-size-avg The average size of the batches processed by the connector. batch-size-max The maximum size of the batches processed by the connector. offset-commit-avg-time-ms The average time in milliseconds taken by this task to commit offsets. offset-commit-failure-percentage The average percentage of this task's offset commit attempts that failed. offset-commit-max-time-ms The maximum time in milliseconds taken by this task to commit offsets. offset-commit-success-percentage The average percentage of this task's offset commit attempts that succeeded. pause-ratio The fraction of time this task has spent in the pause state. running-ratio The fraction of time this task has spent in the running state. status The status of the connector task. One of 'unassigned', 'running', 'paused', 'failed', or 'destroyed'. 8.8.7. MBeans matching kafka.connect:type=sink-task-metrics,connector=*,task=* Attribute Description offset-commit-completion-rate The average per-second number of offset commit completions that were completed successfully. offset-commit-completion-total The total number of offset commit completions that were completed successfully. offset-commit-seq-no The current sequence number for offset commits. offset-commit-skip-rate The average per-second number of offset commit completions that were received too late and skipped/ignored. offset-commit-skip-total The total number of offset commit completions that were received too late and skipped/ignored. partition-count The number of topic partitions assigned to this task belonging to the named sink connector in this worker. put-batch-avg-time-ms The average time taken by this task to put a batch of sinks records. put-batch-max-time-ms The maximum time taken by this task to put a batch of sinks records. sink-record-active-count The number of records that have been read from Kafka but not yet completely committed/flushed/acknowledged by the sink task. sink-record-active-count-avg The average number of records that have been read from Kafka but not yet completely committed/flushed/acknowledged by the sink task. sink-record-active-count-max The maximum number of records that have been read from Kafka but not yet completely committed/flushed/acknowledged by the sink task. sink-record-lag-max The maximum lag in terms of number of records that the sink task is behind the consumer's position for any topic partitions. sink-record-read-rate The average per-second number of records read from Kafka for this task belonging to the named sink connector in this worker. This is before transformations are applied. sink-record-read-total The total number of records read from Kafka by this task belonging to the named sink connector in this worker, since the task was last restarted. sink-record-send-rate The average per-second number of records output from the transformations and sent/put to this task belonging to the named sink connector in this worker. This is after transformations are applied and excludes any records filtered out by the transformations. sink-record-send-total The total number of records output from the transformations and sent/put to this task belonging to the named sink connector in this worker, since the task was last restarted. 8.8.8. MBeans matching kafka.connect:type=source-task-metrics,connector=*,task=* Attribute Description poll-batch-avg-time-ms The average time in milliseconds taken by this task to poll for a batch of source records. poll-batch-max-time-ms The maximum time in milliseconds taken by this task to poll for a batch of source records. source-record-active-count The number of records that have been produced by this task but not yet completely written to Kafka. source-record-active-count-avg The average number of records that have been produced by this task but not yet completely written to Kafka. source-record-active-count-max The maximum number of records that have been produced by this task but not yet completely written to Kafka. source-record-poll-rate The average per-second number of records produced/polled (before transformation) by this task belonging to the named source connector in this worker. source-record-poll-total The total number of records produced/polled (before transformation) by this task belonging to the named source connector in this worker. source-record-write-rate The average per-second number of records output from the transformations and written to Kafka for this task belonging to the named source connector in this worker. This is after transformations are applied and excludes any records filtered out by the transformations. source-record-write-total The number of records output from the transformations and written to Kafka for this task belonging to the named source connector in this worker, since the task was last restarted. 8.8.9. MBeans matching kafka.connect:type=task-error-metrics,connector=*,task=* Attribute Description deadletterqueue-produce-failures The number of failed writes to the dead letter queue. deadletterqueue-produce-requests The number of attempted writes to the dead letter queue. last-error-timestamp The epoch timestamp when this task last encountered an error. total-errors-logged The number of errors that were logged. total-record-errors The number of record processing errors in this task. total-record-failures The number of record processing failures in this task. total-records-skipped The number of records skipped due to errors. total-retries The number of operations retried. 8.9. Kafka Streams MBeans Note A Streams application will contain the producer and consumer MBeans in addition to those documented here. 8.9.1. MBeans matching kafka.streams:type=stream-metrics,client-id=* These metrics are collected when the metrics.recording.level configuration parameter is info or debug . Attribute Description commit-latency-avg The average execution time in ms for committing, across all running tasks of this thread. commit-latency-max The maximum execution time in ms for committing across all running tasks of this thread. commit-rate The average number of commits per second. commit-total The total number of commit calls across all tasks. poll-latency-avg The average execution time in ms for polling, across all running tasks of this thread. poll-latency-max The maximum execution time in ms for polling across all running tasks of this thread. poll-rate The average number of polls per second. poll-total The total number of poll calls across all tasks. process-latency-avg The average execution time in ms for processing, across all running tasks of this thread. process-latency-max The maximum execution time in ms for processing across all running tasks of this thread. process-rate The average number of process calls per second. process-total The total number of process calls across all tasks. punctuate-latency-avg The average execution time in ms for punctuating, across all running tasks of this thread. punctuate-latency-max The maximum execution time in ms for punctuating across all running tasks of this thread. punctuate-rate The average number of punctuates per second. punctuate-total The total number of punctuate calls across all tasks. skipped-records-rate The average number of skipped records per second. skipped-records-total The total number of skipped records. task-closed-rate The average number of tasks closed per second. task-closed-total The total number of tasks closed. task-created-rate The average number of newly created tasks per second. task-created-total The total number of tasks created. 8.9.2. MBeans matching kafka.streams:type=stream-task-metrics,client-id=*,task-id=* Task metrics. These metrics are collected when the metrics.recording.level configuration parameter is debug . Attribute Description commit-latency-avg The average commit time in ns for this task. commit-latency-max The maximum commit time in ns for this task. commit-rate The average number of commit calls per second. commit-total The total number of commit calls. 8.9.3. MBeans matching kafka.streams:type=stream-processor-node-metrics,client-id=*,task-id=*,processor-node-id=* Processor node metrics. These metrics are collected when the metrics.recording.level configuration parameter is debug . Attribute Description create-latency-avg The average create execution time in ns. create-latency-max The maximum create execution time in ns. create-rate The average number of create operations per second. create-total The total number of create operations called. destroy-latency-avg The average destroy execution time in ns. destroy-latency-max The maximum destroy execution time in ns. destroy-rate The average number of destroy operations per second. destroy-total The total number of destroy operations called. forward-rate The average rate of records being forwarded downstream, from source nodes only, per second. forward-total The total number of of records being forwarded downstream, from source nodes only. process-latency-avg The average process execution time in ns. process-latency-max The maximum process execution time in ns. process-rate The average number of process operations per second. process-total The total number of process operations called. punctuate-latency-avg The average punctuate execution time in ns. punctuate-latency-max The maximum punctuate execution time in ns. punctuate-rate The average number of punctuate operations per second. punctuate-total The total number of punctuate operations called. 8.9.4. MBeans matching kafka.streams:type=stream-[store-scope]-metrics,client-id=*,task-id=*,[store-scope]-id=* State store metrics. These metrics are collected when the metrics.recording.level configuration parameter is debug . Attribute Description all-latency-avg The average all operation execution time in ns. all-latency-max The maximum all operation execution time in ns. all-rate The average all operation rate for this store. all-total The total number of all operation calls for this store. delete-latency-avg The average delete execution time in ns. delete-latency-max The maximum delete execution time in ns. delete-rate The average delete rate for this store. delete-total The total number of delete calls for this store. flush-latency-avg The average flush execution time in ns. flush-latency-max The maximum flush execution time in ns. flush-rate The average flush rate for this store. flush-total The total number of flush calls for this store. get-latency-avg The average get execution time in ns. get-latency-max The maximum get execution time in ns. get-rate The average get rate for this store. get-total The total number of get calls for this store. put-all-latency-avg The average put-all execution time in ns. put-all-latency-max The maximum put-all execution time in ns. put-all-rate The average put-all rate for this store. put-all-total The total number of put-all calls for this store. put-if-absent-latency-avg The average put-if-absent execution time in ns. put-if-absent-latency-max The maximum put-if-absent execution time in ns. put-if-absent-rate The average put-if-absent rate for this store. put-if-absent-total The total number of put-if-absent calls for this store. put-latency-avg The average put execution time in ns. put-latency-max The maximum put execution time in ns. put-rate The average put rate for this store. put-total The total number of put calls for this store. range-latency-avg The average range execution time in ns. range-latency-max The maximum range execution time in ns. range-rate The average range rate for this store. range-total The total number of range calls for this store. restore-latency-avg The average restore execution time in ns. restore-latency-max The maximum restore execution time in ns. restore-rate The average restore rate for this store. restore-total The total number of restore calls for this store. 8.9.5. MBeans matching kafka.streams:type=stream-record-cache-metrics,client-id=*,task-id=*,record-cache-id=* Record cache metrics. These metrics are collected when the metrics.recording.level configuration parameter is debug . Attribute Description hitRatio-avg The average cache hit ratio defined as the ratio of cache read hits over the total cache read requests. hitRatio-max The maximum cache hit ratio. hitRatio-min The mininum cache hit ratio.

Commands:
export KAFKA_JMX_OPTS=-Dcom.sun.management.jmxremote=false bin/kafka-server-start.sh
export KAFKA_JMX_OPTS="-Dcom.sun.management.jmxremote=true -Dcom.sun.management.jmxremote.port= <port> -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false" bin/kafka-server-start.sh