Yandex Monitoring metric reference

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Updated at April 28, 2025

CPU metrics
Disk metrics
Disk I/O metrics
RAM metrics
Network metrics
Service metrics

This section describes Managed Service for Apache Kafka® metrics delivered to Monitoring.

The name label contains the metric name.

Labels shared by all Managed Service for Apache Kafka® metrics:

Label	Value
service	Service ID: `managed-kafka`
resource_type	Resource type: `cluster`
resource_id	Cluster ID
host	Host FQDN
node	Broker type: `leader`, `follower`, or `replica`
subcluster_name	Subcluster type: `zookeeper_subcluster` or `kafka_subcluster`

CPU metrics

These metrics show processor core workload.

Name Type, units	Description
`cpu.fraction` `DGAUGE`, %	Guaranteed vCPU performance
`cpu.guarantee` `DGAUGE`, count	Guaranteed number of cores
`cpu.limit` `DGAUGE`, count	Maximum number of cores in use
`cpu.guest` `DGAUGE`, %	CPU core usage, `guest` usage type
`cpu.idle` `DGAUGE`, %	CPU core usage, `idle` usage type
`cpu.iowait` `DGAUGE`, %	CPU core usage, `iowait` usage type
`cpu.irq` `DGAUGE`, %	CPU core usage, `irq` usage type
`cpu.nice` `DGAUGE`, %	CPU core usage, `nice` usage type
`cpu.softirq` `DGAUGE`, %	CPU core usage, `softirq` usage type
`cpu.steal` `DGAUGE`, %	CPU core usage, `steal` usage type
`cpu.system` `DGAUGE`, %	CPU core usage, `system` usage type
`cpu.user` `DGAUGE`, %	CPU core usage, `user` usage type
`load.avg_15min` `DGAUGE`, %	Average load over 15 minutes
`load.avg_1min` `DGAUGE`, %	Average load over one minute
`load.avg_5min` `DGAUGE`, %	Average load over five minutes

Disk metrics

Name Type, units	Description
`disk.free_bytes` `DGAUGE`, bytes	Free space
`disk.free_inodes` `DGAUGE`, count	Free inodes
`disk.total_bytes` `DGAUGE`, bytes	Available space
`disk.total_inodes` `DGAUGE`, count	Available inodes
`disk.used_bytes` `DGAUGE`, bytes	Used space
`disk.used_inodes` `DGAUGE`, count	Used inodes

Disk I/O metrics

Name Type, units	Description
`io.avg_read_time` `DGAUGE`, milliseconds	Average disk read time
`io.avg_write_time` `DGAUGE`, milliseconds	Average disk write time
`io.disk*.avg_read_time` `DGAUGE`, milliseconds	Average read time for a given disk
`io.disk*.avg_write_time` `DGAUGE`, milliseconds	Average write time for a given disk
`io.disk*.read_bytes` `DGAUGE`, bytes per second	Read speed for a given disk
`io.disk*.read_count` `DGAUGE`, operations per second	Number of reads per second for a given disk
`io.disk*.read_merged_count` `DGAUGE`, operations per second	Number of merged read operations per second for a given disk
`io.disk*.utilization` `DGAUGE`, %	Utilization of a given disk; disabled for network drives.
`io.disk*.write_bytes` `DGAUGE`, bytes per second	Write speed for a given disk
`io.disk*.write_count` `DGAUGE`, operations per second	Number of writes per second for a given disk
`io.disk*.write_merged_count` `DGAUGE`, operations per second	Number of merged write operations per second for a given disk
`io.read_bytes` `DGAUGE`, bytes per second	Disk read rate
`io.read_count` `DGAUGE`, operations per second	Number of read operations per second
`io.read_merged_count` `DGAUGE`, operations per second	Number of merged read operations per second
`io.utilization` `DGAUGE`, %	Disk utilization
`io.write_bytes` `DGAUGE`, bytes per second	Disk write speed
`io.write_count` `DGAUGE`, operations per second	Number of writes per second
`io.write_merged_count` `DGAUGE`, operations per second	Number of merged write operations per second

RAM metrics

Name Type, units	Description
`mem.guarantee_bytes` `DGAUGE`, bytes	Guaranteed memory allocation
`mem.limit_bytes` `DGAUGE`, bytes	Memory limit
`mem.active_bytes` `DGAUGE`, bytes	Active resident memory (frequently accessed and released when absolutely necessary)
`mem.available_bytes` `DGAUGE`, bytes	RAM usage, `available` usage type
`mem.buffers_bytes` `DGAUGE`, bytes	RAM usage, `buffers` usage type
`mem.cached_bytes` `DGAUGE`, bytes	RAM usage, `cached` usage type
`mem.free_bytes` `DGAUGE`, bytes	Amount of free RAM available, excluding `mem.buffers_bytes` and `mem.cached_bytes`
`mem.shared_bytes` `DGAUGE`, bytes	RAM usage, `shared` usage type
`mem.total_bytes` `DGAUGE`, bytes	RAM usage, `total` usage type
`mem.used_bytes` `DGAUGE`, bytes	Amount of RAM currently used by running processes

Network metrics

Name Type, units	Description
`net.bytes_recv` `DGAUGE`, bytes per second	Network data receive rate
`net.bytes_sent` `DGAUGE`, bytes per second	Network data transmit rate
`net.dropin` `DGAUGE`, count	Dropped receive packets
`net.dropout` `DGAUGE`, count	Dropped transmit packets
`net.errin` `DGAUGE`, count	Receive error count
`net.errout` `DGAUGE`, count	Transmit error count
`net.packets_recv` `DGAUGE`, packets per second	Network packet receive rate
`net.packets_sent` `DGAUGE`, packets per second	Network packet transmit rate

Service metrics

Name Type, units	Description
`kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs` `DGAUGE`, milliseconds	Leader broker switch rate per unit of time. In a normal state, it is `0`. Its value may increase during maintenance, which does not indicate a problem. Additional labels: `quantile`.
`kafka_controller_KafkaController_ActiveControllerCount` `DGAUGE`, count	Number of active controllers
`kafka_controller_KafkaController_GlobalTopicCount` `DGAUGE`, count	Number of topics
`kafka_controller_KafkaController_OfflinePartitionsCount` `DGAUGE`, count	Number of offline partitions
`kafka_controller_KafkaController_PreferredReplicaImbalanceCount` `DGAUGE`, count	Imbalance count in the preferred replica. In a normal state, it is `0`.
`kafka_group_topic_partition_lag` `DGAUGE`, count	Message lag: Difference between the consumer offset and the partition's latest offset.
`kafka_group_topic_partition_offset` `DGAUGE`, count	Partition offset
`kafka_host_count` `DGAUGE`, count	Number of hosts in the cluster
`kafka_is_alive` `DGAUGE`, 0/1	Broker health indicator. It can be either `1` if a broker is alive or `0` if it is not.
`kafka_network_RequestChannel_RequestQueueSize` `DGAUGE`, count	Number of enqueued requests
`kafka_network_RequestMetrics_Errors` `DGAUGE`, count	Number of errors. Additional labels: `request`.
`kafka_network_RequestMetrics_LocalTimeMs` `DGAUGE`, milliseconds	Time it takes the leader broker to process a request. Additional labels: `request` and `quantile`.
`kafka_network_RequestMetrics_MessageConversionsTimeMs` `DGAUGE`, milliseconds	Message format conversion time. Additional labels: `request` and `quantile`.
`kafka_network_RequestMetrics_RemoteTimeMs` `DGAUGE`, milliseconds	Follower broker wait time. Additional labels: `request` and `quantile`.
`kafka_network_RequestMetrics_RequestQueueTimeMs` `DGAUGE`, milliseconds	Request queue wait time. Additional labels: `request` and `quantile`.
`kafka_network_RequestMetrics_Requests` `DGAUGE`, count	Number of requests. Additional labels: `request`.
`kafka_network_RequestMetrics_ResponseQueueTimeMs` `DGAUGE`, milliseconds	Response queue wait time. Additional labels: `request` and `quantile`.
`kafka_network_RequestMetrics_ResponseSendTimeMs` `DGAUGE`, milliseconds	Response send time. Additional labels: `request` and `quantile`.
`kafka_network_RequestMetrics_TotalTimeMs` `DGAUGE`, milliseconds	Total request execution time. Additional labels: `request` and `quantile`.
`kafka_network_SocketServer_NetworkProcessorAvgIdlePercent` `DGAUGE`, %	Average network processor idle percentage. Its value ranges from `0` (fully utilized) to `1` (completely idle).
`kafka_server_BrokerTopicMetrics_BytesIn` `DGAUGE`, bytes	Incoming data size
`kafka_server_BrokerTopicMetrics_BytesOut` `DGAUGE`, bytes	Outgoing data size
`kafka_server_BrokerTopicMetrics_FailedFetchRequests` `DGAUGE`, count	Number of requests received with errors
`kafka_server_BrokerTopicMetrics_FailedProduceRequests` `DGAUGE`, count	Number of requests processed with errors
`kafka_server_BrokerTopicMetrics_MessagesIn` `DGAUGE`, count	Number of written messages
`kafka_server_BrokerTopicMetrics_ReplicationBytesIn` `DGAUGE`, bytes	Replicated data size
`kafka_server_KafkaRequestHandlerPool_RequestHandlerAvgIdlePercent_count` `DGAUGE`, %	Average request handler idle percentage. Its value ranges from `0` (fully utilized) to `1` (completely idle).
`kafka_server_KafkaServer_BrokerState` `DGAUGE`	Broker state: 0: `Not Running` 1: `Starting` 2: `Recovering from Unclean Shutdown` 3: `Running as Broker` 4: `Running as Controller` 5: `Pending Controlled ShutdownStates` 6: `Broker Shutting Down`
`kafka_server_ReplicaFetcherManager_MaxLag` `DGAUGE`, count	Maximum lag of message replication between the follower and leader brokers. Additional labels: `clientId`.
`kafka_server_ReplicaManager_LeaderCount` `DGAUGE`, count	Number of partitions led by the broker
`kafka_server_ReplicaManager_OfflineReplicaCount` `DGAUGE`, count	Number of partitions with no leader broker. These partitions do not support message writes or reads.
`kafka_server_ReplicaManager_PartitionCount` `DGAUGE`, count	Number of partitions per broker
`kafka_server_ReplicaManager_ReassigningPartitions` `DGAUGE`, count	Number of partitions with the leader being reassigned
`kafka_server_ReplicaManager_UnderMinIsrPartitionCount` `DGAUGE`, count	Number of partitions with in-sync replica (ISR) count below the set minimum
`kafka_server_ReplicaManager_UnderReplicatedPartitions` `DGAUGE`, count	Number of partitions with ISR count below the replication factor
`kafka_server_ZooKeeperClientMetrics_ZooKeeperRequestLatencyMs` `DGAUGE`, milliseconds	Request latency in ZooKeeper. Additional labels: `quantile`.
`kafka_shard_count` `DGAUGE`, count	Number of active shards

Yandex Monitoring metric reference

CPU metricsCPU metrics

Disk metricsDisk metrics

Disk I/O metricsDisk I/O metrics

RAM metricsRAM metrics

Network metricsNetwork metrics