Aiven for Apache Kafka® metrics available via Prometheus

Explore common metrics available via Prometheus for your Aiven for Apache Kafka® service.

How to retrieve metrics

To get the complete list of available metrics for your service, query the Prometheus endpoint. To get started:

1. Ensure you have the following information:

   • Aiven project certificate: ca.pem. To download the CA certificate, see Download CA certificates.
   • Prometheus credentials: <PROMETHEUS_USER>:<PROMETHEUS_PASSWORD>
   • Aiven for Apache Kafka hostname: <KAFKA_HOSTNAME>
   • Prometheus port: <PROMETHEUS_PORT>

2. Use the curl command to query the Prometheus endpoint:

      curl --cacert ca.pem \
        --user '<PROMETHEUS_USER>:<PROMETHEUS_PASSWORD>' \
         'https://<KAFKA_HOSTNAME>:<PROMETHEUS_PORT>/metrics'

For detailed instructions on setting up Prometheus integration with Aiven, see Use Prometheus with Aiven

CPU utilization

CPU utilization metrics offer insights into CPU usage. These metrics include time spent on different processes, system load, and overall uptime.

Metric	Description
cpu_usage_guest	CPU time spent running a virtual CPU for guest operating systems
cpu_usage_guest_nice	CPU time spent running low-priority virtual CPUs for guest operating systems. These processes can be interrupted by higher-priority tasks. Metric is measured in hundredths of a second
cpu_usage_idle	Time the CPU spends doing nothing
cpu_usage_iowait	Time waiting for I/O to complete
cpu_usage_irq	Time servicing interrupts
cpu_usage_nice	Time running user-niced processes
cpu_usage_softirq	Time servicing softirqs
cpu_usage_steal	Time spent in other operating systems when running in a virtualized environment
cpu_usage_system	Time spent running system processes
cpu_usage_user	Time spent running user processes
system_load1	System load average for the last minute
system_load15	System load average for the last 15 minutes
system_load5	System load average for the last 5 minutes
system_n_cpus	Number of CPU cores available
system_n_users	Number of users logged in
system_uptime	Time for which the system has been up and running

Disk space utilization

Disk space utilization metrics provide a snapshot of disk usage. These metrics include information about free and used disk space, as well as inode usage and total disk capacity.

Metric	Description
disk_free	Amount of free disk space
disk_inodes_free	Number of free inodes
disk_inodes_total	Total number of inodes
disk_inodes_used	Number of used inodes
disk_total	Total disk space
disk_used	Amount of used disk space
disk_used_percent	Percentage of disk space used

Disk input and output

Metrics such as diskio_io_time and diskio_iops_in_progress provide insights into disk I/O operations. These metrics cover read/write operations, the duration of these operations, and the number of bytes read/written.

Metric	Description
diskio_io_time	Total time spent on I/O operations
diskio_iops_in_progress	Number of I/O operations currently in progress
diskio_merged_reads	Number of read operations that were merged
diskio_merged_writes	Number of write operations that were merged
diskio_read_bytes	Total bytes read from disk
diskio_read_time	Total time spent on read operations
diskio_reads	Total number of read operations
diskio_weighted_io_time	Weighted time spent on I/O operations, considering their duration and intensity
diskio_write_bytes	Total bytes written to disk
diskio_write_time	Total time spent on write operations
diskio_writes	Total number of write operations

Garbage collector MXBean

Metrics associated with the java_lang_GarbageCollector provide insights into the JVM's garbage collection process. These metrics include the collection count and the duration of collections.

Metric	Description
java_lang_GarbageCollector_G1_Young_Generation_CollectionCount	Returns the total number of collections that have occurred
java_lang_GarbageCollector_G1_Young_Generation_CollectionTime	Returns the approximate accumulated collection elapsed time in milliseconds
java_lang_GarbageCollector_G1_Young_Generation_duration	Duration of G1 Young Generation garbage collections

Memory Usage

Metrics starting with java_lang_Memory provide insights into the JVM's memory usage, including committed memory, initial memory, max memory, and used memory.

Metric	Description
java_lang_Memory_committed	Returns the amount of memory in bytes that is committed for the Java virtual machine to use
java_lang_Memory_init	Returns the amount of memory in bytes that the Java virtual machine initially requests from the operating system for memory management.
java_lang_Memory_max	Returns the maximum amount of memory in bytes that can be used for memory management
java_lang_Memory_used	Returns the amount of used memory in bytes.
java_lang_Memory_ObjectPendingFinalizationCount	Number of objects pending finalization

Apache Kafka Connect

For a comprehensive list of Apache Kafka Connect metrics exposed through Prometheus, see Apache Kafka® Connect available via Prometheus.

Apache Kafka broker metrics

Apache Kafka brokers expose metrics that provide insights into the health and performance of the Apache Kafka cluster. Find detailed descriptions of these metrics, see the monitoring section of the Apache Kafka documentation.

Metric types

Cumulative counters (_count)

Metrics with a _count suffix are cumulative counters. They track the total number of occurrences for a specific event since the broker started.

Example:

kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_Count: Total number of leader elections that have occurred in the controller.

Rate counters (perSec)

Metrics with a perSec suffix in their name are also cumulative counters. They track the total number of events per second, not the current rate.

Example:

kafka_server_BrokerTopicMetrics_MessagesInPerSec_Count: Total number of incoming messages received by the broker.

note

To calculate the rate of change for these _Count metrics, you can use functions such as rate() in PromQL.

Apache Kafka controller metrics

Apache Kafka offers a range of metrics to help you assess the performance and health of your Apache Kafka controller.

• Percentile Metrics: Metrics like kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_XthPercentile (where X can be 50th, 75th, 95th, etc.) show the time taken for leader elections to complete at various percentiles. This helps in understanding the distribution of leader election times.
• Interval Metrics: Metrics ending with FifteenMinuteRate, FiveMinuteRate, following kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_, show the rate of leader elections over different time intervals.
• Statistical Metrics: Metrics ending with Max, Mean, Min, StdDev, following kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_, provide statistical measures about the leader election times.
• Controller State Metrics: Metrics starting with kafka_controller_KafkaController_ give insights into the state of the Kafka controller, such as the number of active brokers, offline partitions, and replicas to delete.

Metric	Description
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_50thPercentile	Time taken for leader elections to complete at the 50th percentile
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_75thPercentile	Time taken for leader elections to complete at the 75th percentile
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_95thPercentile	Time taken for leader elections to complete at the 95th percentile
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_98thPercentile	Time taken for leader elections to complete at the 98th percentile
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_99thPercentile	Time taken for leader elections to complete at the 99th percentile
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_999thPercentile	Time taken for leader elections to complete at the 99.9th percentile
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_Count	The total number of leader elections
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_FifteenMinuteRate	Rate of leader elections over the last 15 minutes
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_FiveMinuteRate	Rate of leader elections over the last 5 minutes
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_Max	Maximum time taken for a leader election
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_Mean	Mean time taken for leader elections
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_MeanRate	Mean rate of leader elections
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_Min	Minimum time taken for a leader election
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_OneMinuteRate	Rate of leader elections over the last minute
kafka_controller_ControllerStats_LeaderElectionRateAndTimeMs_StdDev	Standard deviation of leader election times
kafka_controller_ControllerStats_UncleanLeaderElectionsPerSec_Count	Number of unclean leader elections. Unclean leader elections can lead to data loss
kafka_controller_KafkaController_ActiveBrokerCount_Value	Number of active brokers
kafka_controller_KafkaController_ActiveControllerCount_Value	Number of active controllers
kafka_controller_KafkaController_FencedBrokerCount_Value	Number of fenced brokers
kafka_controller_KafkaController_OfflinePartitionsCount_Value	Number of offline partitions
kafka_controller_KafkaController_PreferredReplicaImbalanceCount_Value	Number of preferred replica imbalances
kafka_controller_KafkaController_ReplicasIneligibleToDeleteCount_Value	Number of replicas ineligible to delete
kafka_controller_KafkaController_ReplicasToDeleteCount_Value	Number of replicas to delete
kafka_controller_KafkaController_TopicsIneligibleToDeleteCount_Value	Number of topics ineligible to delete
kafka_controller_KafkaController_TopicsToDeleteCount_Value	Number of topics to delete

Jolokia collector collect time

Jolokia is a JMX-HTTP bridge that provides an alternative to native JMX access. The following metric provides insights into the time taken by the Jolokia collector to collect metrics.

Metric	Description
kafka_jolokia_collector_collect_time	Represents the time taken by the Jolokia collector to collect metrics

Apache Kafka log

Apache Kafka provides a variety of metrics that offer insights into its operation. These metrics are useful for understanding the operation of the log cleaner and log flush operations.

Log cleaner metrics

These metrics provide insights into the log cleaner's operation, which helps in compacting the Apache Kafka logs.

Metric	Description
kafka_log_LogCleaner_cleaner_recopy_percent_Value	Percentage of log segments that were recopied during cleaning
kafka_log_LogCleanerManager_time_since_last_run_ms_Value	Time in milliseconds since the last log cleaner run
kafka_log_LogCleaner_max_clean_time_secs_Value	Maximum time in seconds taken for a log cleaning operation

Log flush rate metrics

Metrics like kafka_log_LogFlushStats_LogFlushRateAndTimeMs_XthPercentile provide the time taken to flush logs at various percentiles.

These metrics offer insights into log flush operations, ensuring that the system writes data from memory to disk. They also indicate the time required to flush logs at different percentiles.

Metric	Description
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_50thPercentile	Time taken to flush logs at the 50th percentile
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_75thPercentile	Time taken to flush logs at the 75th percentile
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_95thPercentile	Time taken to flush logs at the 95th percentile
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_98thPercentile	Time taken to flush logs at the 98th percentile
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_99thPercentile	Time taken to flush logs at the 99th percentile
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_999thPercentile	Time taken to flush logs at the 99.9th percentile
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_Count	Total number of log flush operations
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_FifteenMinuteRate	Rate of log flush operations over the last 15 minutes
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_FiveMinuteRate	Rate of log flush operations over the last 5 minutes
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_Max	Maximum time taken for a log flush operation
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_Mean	Mean time taken for log flush operations
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_MeanRate	Mean rate of log flush operations
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_Min	Minimum time taken for a log flush operation
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_OneMinuteRate	Rate of log flush operations over the last minute
kafka_log_LogFlushStats_LogFlushRateAndTimeMs_StdDev	Standard deviation of log flush times

Log metrics

These metrics provide general information about log sizes and offsets.

Metric	Description
kafka_log_Log_LogEndOffset_Value	End offset of the log
kafka_log_Log_LogStartOffset_Value	Start offset of the log
kafka_log_Log_Size_Value	Size of the log

Apache Kafka network

Apache Kafka provides several metrics, such as kafka_network_RequestMetrics_RequestsPerSec_Count and kafka_network_RequestMetrics_TotalTimeMs_Mean, to monitor the performance and health of network requests made to the Apache Kafka brokers.

Metric	Description
kafka_network_RequestChannel_RequestQueueSize_Value	Size of the request queue
kafka_network_RequestChannel_ResponseQueueSize_Value	Size of the response queue
kafka_network_RequestMetrics_RequestsPerSec_Count	Total number of requests per second.
kafka_network_RequestMetrics_TotalTimeMs_95thPercentile	Total time for requests at the 95th percentile
kafka_network_RequestMetrics_TotalTimeMs_Count	Total number of requests
kafka_network_RequestMetrics_TotalTimeMs_Mean	Mean total time for requests
kafka_network_SocketServer_NetworkProcessorAvgIdlePercent_Value	Average idle percentage of the network processor

Apache Kafka server

Apache Kafka provides a range of metrics that help monitor the server’s performance and health.

• Topic metrics: BrokerTopicMetrics offer insights into various operations related to topics, such as bytes in/out and failed fetch/produce requests.
• Replica metrics: kafka_server_ReplicaManager_LeaderCount_Value provides insights into the state of replicas within the Apache Kafka cluster.

The topic tag is crucial in these metrics. If you don’t specify it, the system displays a combined rate for all topics, along with the rate for each individual topic. To view rates for specific topics, use the topic tag. To exclude the combined rate for all topics and only list metrics for individual topics, filter with topic!="".

Metric	Description
kafka_server_BrokerTopicMetrics_BytesInPerSec_Count	Byte in (from the clients) rate per topic. Omitting topic=(...) will yield the all-topic rate
kafka_server_BrokerTopicMetrics_BytesOutPerSec_Count	Byte out (to the clients) rate per topic. Omitting topic=(...) will yield the all-topic rate
kafka_server_BrokerTopicMetrics_BytesRejectedPerSec_Count	Rejected byte rate per topic due to the record batch size being greater than max.message.bytes configuration. Omitting topic=(...) will yield the all-topic rate
kafka_server_BrokerTopicMetrics_FailedFetchRequestsPerSec_Count	Failed fetch request (from clients or followers) rate per topic. Omitting topic=(...) will yield the all-topic rate
kafka_server_BrokerTopicMetrics_FailedProduceRequestsPerSec_Count	Failed produce request rate per topic. Omitting topic=(...) will yield the all-topic rate
kafka_server_BrokerTopicMetrics_FetchMessageConversionsPerSec_Count	Message format conversion rate for produce or fetch requests per topic. Omitting topic=(...) will yield the all-topic rate.
kafka_server_BrokerTopicMetrics_MessagesInPerSec_Count	Incoming message rate per topic. Omitting topic=(...) will yield the all-topic rate
kafka_server_BrokerTopicMetrics_ProduceMessageConversionsPerSec_Count	Message format conversion rate for produce or fetch requests per topic. Omitting topic=(...) will yield the all-topic rate
kafka_server_BrokerTopicMetrics_ReassignmentBytesInPerSec_Count	Incoming byte rate of reassignment traffic.
kafka_server_BrokerTopicMetrics_ReassignmentBytesOutPerSec_Count	Outgoing byte rate of reassignment traffic.
kafka_server_BrokerTopicMetrics_ReplicationBytesInPerSec_Count	Byte in (from other brokers) rate per topic. Omitting topic=(...) will yield the all-topic rate
kafka_server_BrokerTopicMetrics_ReplicationBytesOutPerSec_Count	Byte out (to other brokers) rate per topic. Omitting topic=(...) will yield the all-topic rate
kafka_server_BrokerTopicMetrics_TotalFetchRequestsPerSec_Count	Fetch request (from clients or followers) rate per topic. Omitting topic=(...) will yield the all-topic rate
kafka_server_BrokerTopicMetrics_TotalProduceRequestsPerSec_Count	Total number of produce requests per second. This metric is collected per host and not per topic
kafka_server_DelayedOperationPurgatory_NumDelayedOperations_Value	Number of delayed operations in purgatory.
kafka_server_DelayedOperationPurgatory_PurgatorySize_Value	Size of the purgatory queue.
kafka_server_KafkaRequestHandlerPool_RequestHandlerAvgIdlePercent_OneMinuteRate	Average idle percentage of request handlers over the last minute
kafka_server_KafkaServer_BrokerState_Value	State of the broker
kafka_server_ReplicaManager_IsrExpandsPerSec_Count	Number of ISR expansions per second
kafka_server_ReplicaManager_IsrShrinksPerSec_Count	Number of ISR shrinks per second
kafka_server_ReplicaManager_LeaderCount_Value	Number of leader replicas
kafka_server_ReplicaManager_PartitionCount_Value	Number of partitions
kafka_server_ReplicaManager_UnderMinIsrPartitionCount_Value	Number of partitions under the minimum ISR
kafka_server_ReplicaManager_UnderReplicatedPartitions_Value	Number of under-replicated partitions
kafka_server_group_coordinator_metrics_group_completed_rebalance_count	Number of completed group rebalances
kafka_server_group_coordinator_metrics_group_completed_rebalance_rate	Rate of completed group rebalances
kafka_server_group_coordinator_metrics_offset_commit_count	Number of offset commits
kafka_server_group_coordinator_metrics_offset_commit_rate	Rate of offset commits
kafka_server_group_coordinator_metrics_offset_deletion_count	Number of offset deletions
kafka_server_group_coordinator_metrics_offset_deletion_rate	Rate of offset deletions
kafka_server_group_coordinator_metrics_offset_expiration_count	Number of offset expirations
kafka_server_group_coordinator_metrics_offset_expiration_rate	Rate of offset expirations

Tiered storage metrics

Aiven for Apache Kafka includes several metrics to monitor the performance and health of your Apache Kafka broker's tiered storage operations. Access these metrics through Prometheus to gain insights into various aspects of tiered storage, including data copying, fetching, deleting, and their associated lags and errors.

Metric	Description
kafka_server_BrokerTopicMetrics_RemoteCopyBytesPerSec_Count	Number of bytes per second being copied to remote storage
kafka_server_BrokerTopicMetrics_RemoteCopyRequestsPerSec_Count	Number of copy requests per second to remote storage
kafka_server_BrokerTopicMetrics_RemoteCopyErrorsPerSec_Count	Number of errors per second encountered during remote copy
kafka_server_BrokerTopicMetrics_RemoteCopyLagBytes_Value	Number of bytes in non-active segments eligible for tiering that are not yet uploaded to remote storage
kafka_server_BrokerTopicMetrics_RemoteCopyLagSegments_Value	Number of non-active segments eligible for tiering that are not yet uploaded to remote storage
kafka_server_BrokerTopicMetrics_RemoteFetchBytesPerSec_Count	Number of bytes per second being fetched from remote storage
kafka_server_BrokerTopicMetrics_RemoteFetchRequestsPerSec_Count	Number of fetch requests per second from remote storage
kafka_server_BrokerTopicMetrics_RemoteFetchErrorsPerSec_Count	Number of errors per second encountered during remote fetch
kafka_server_BrokerTopicMetrics_RemoteDeleteRequestsPerSec_Count	Number of delete requests per second to remote storage
kafka_server_BrokerTopicMetrics_RemoteDeleteErrorsPerSec_Count	Number of errors per second encountered during remote delete
kafka_server_BrokerTopicMetrics_RemoteDeleteLagBytes_Value	Number of bytes in non-active segments marked for deletion but not yet deleted from remote storage
kafka_server_BrokerTopicMetrics_RemoteDeleteLagSegments_Value	Number of non-active segments marked for deletion but not yet deleted from remote storage

Kernel

The metrics listed below, such as kernel_boot_time and kernel_context_switches, provide insights into the operations of your system’s kernel.

Metric	Description
kernel_boot_time	Time at which the system was last booted
kernel_context_switches	Number of context switches that have occurred in the kernel
kernel_entropy_avail	Amount of available entropy in the kernel's entropy pool
kernel_interrupts	Number of interrupts that have occurred
kernel_processes_forked	Number of processes that have been forked

Generic memory

The following metrics, including mem_active and mem_available, provide insights into your system’s memory usage.

Metric	Description
mem_active	Amount of actively used memory
mem_available	Amount of available memory
mem_available_percent	Percentage of available memory
mem_buffered	Amount of memory used for buffering I/O
mem_cached	Amount of memory used for caching
mem_commit_limit	Maximum amount of memory that can be committed
mem_committed_as	Total amount of committed memory
mem_dirty	Amount of memory waiting to be written to disk
mem_free	Amount of free memory
mem_high_free	Amount of free memory in the high memory zone
mem_high_total	Total amount of memory in the high memory zone
mem_huge_pages_free	Number of free huge pages
mem_huge_page_size	Size of huge pages
mem_huge_pages_total	Total number of huge pages
mem_inactive	Amount of inactive memory
mem_low_free	Amount of free memory in the low memory zone
mem_low_total	Total amount of memory in the low memory zone
mem_mapped	Amount of memory mapped into the process's address space
mem_page_tables	Amount of memory used by page tables
mem_shared	Amount of memory shared between processes
mem_slab	Amount of memory used by the kernel for data structure caches
mem_swap_cached	Amount of swap memory cached
mem_swap_free	Amount of free swap memory
mem_swap_total	Total amount of swap memory
mem_total	Total amount of memory
mem_used	Amount of used memory
mem_used_percent	Percentage of used memory
mem_vmalloc_chunk	Largest contiguous block of vmalloc memory available
mem_vmalloc_total	Total amount of vmalloc memory
mem_vmalloc_used	Amount of used vmalloc memory
mem_wired	Amount of wired memory
mem_write_back	Amount of memory being written back to disk
mem_write_back_tmp	Amount of temporary memory being written back to disk

Network

The following metrics, including net_bytes_recv and net_packets_sent, provide insights into your system’s network operations.

Metric	Description
net_bytes_recv	Total bytes received on the network interfaces
net_bytes_sent	Total bytes sent on the network interfaces
net_drop_in	Incoming packets dropped
net_drop_out	Outgoing packets dropped
net_err_in	Incoming packets with errors
net_err_out	Outgoing packets with errors
net_icmp_inaddrmaskreps	Number of ICMP address mask replies received
net_icmp_inaddrmasks	Number of ICMP address mask requests received
net_icmp_incsumerrors	Number of ICMP checksum errors
net_icmp_indestunreachs	Number of ICMP destination unreachable messages received
net_icmp_inechoreps	Number of ICMP echo replies received
net_icmp_inechos	Number of ICMP echo requests received
net_icmp_inerrors	Number of ICMP messages received with errors
net_icmp_inmsgs	Total number of ICMP messages received
net_icmp_inparmprobs	Number of ICMP parameter problem messages received
net_icmp_inredirects	Number of ICMP redirect messages received
net_icmp_insrcquenchs	Number of ICMP source quench messages received
net_icmp_intimeexcds	Number of ICMP time exceeded messages received
net_icmp_intimestampreps	Number of ICMP timestamp reply messages received
net_icmp_intimestamps	Number of ICMP timestamp request messages received
net_icmpmsg_intype3	Number of ICMP type 3 (destination unreachable) messages received
net_icmpmsg_intype8	Number of ICMP type 8 (echo request) messages received
net_icmpmsg_outtype0	Number of ICMP type 0 (echo reply) messages sent
net_icmpmsg_outtype3	Number of ICMP type 3 (destination unreachable) messages sent
net_icmp_outaddrmaskreps	Number of ICMP address mask reply messages sent
net_icmp_outaddrmasks	Number of ICMP address mask request messages sent
net_icmp_outdestunreachs	Number of ICMP destination unreachable messages sent
net_icmp_outechoreps	Number of ICMP echo reply messages sent
net_icmp_outechos	Number of ICMP echo request messages sent
net_icmp_outerrors	Number of ICMP messages sent with errors
net_icmp_outmsgs	Total number of ICMP messages sent
net_icmp_outparmprobs	Number of ICMP parameter problem messages sent
net_icmp_outredirects	Number of ICMP redirect messages sent
net_icmp_outsrcquenchs	Number of ICMP source quench messages sent
net_icmp_outtimeexcds	Number of ICMP time exceeded messages sent
net_icmp_outtimestampreps	Number of ICMP timestamp reply messages sent
net_icmp_outtimestamps	Number of ICMP timestamp request messages sent
net_ip_defaultttl	Default time-to-live for IP packets
net_ip_forwarding	Indicates if IP forwarding is enabled
net_ip_forwdatagrams	Number of forwarded IP datagrams
net_ip_fragcreates	Number of IP fragments created
net_ip_fragfails	Number of failed IP fragmentations
net_ip_fragoks	Number of successful IP fragmentations
net_ip_inaddrerrors	Number of incoming IP packets with address errors
net_ip_indelivers	Number of incoming IP packets delivered to higher layers
net_ip_indiscards	Number of incoming IP packets discarded
net_ip_inhdrerrors	Number of incoming IP packets with header errors
net_ip_inreceives	Total number of incoming IP packets received
net_ip_inunknownprotos	Number of incoming IP packets with unknown protocols
net_ip_outdiscards	Number of outgoing IP packets discarded
net_ip_outnoroutes	Number of outgoing IP packets with no route available
net_ip_outrequests	Total number of outgoing IP packets requested to be sent
net_ip_reasmfails	Number of failed IP reassembly attempts
net_ip_reasmoks	Number of successful IP reassembly attempts
net_ip_reasmreqds	Number of IP fragments received needing reassembly
net_ip_reasmtimeout	Number of IP reassembly timeouts
net_packets_recv	Total number of packets received on the network interfaces
net_packets_sent	Total number of packets sent on the network interfaces
netstat_tcp_close	Number of TCP connections in the CLOSE state
netstat_tcp_close_wait	Number of TCP connections in the CLOSE_WAIT state
netstat_tcp_closing	Number of TCP connections in the CLOSING state
netstat_tcp_established	Number of TCP connections in the ESTABLISHED state
netstat_tcp_fin_wait1	Number of TCP connections in the FIN_WAIT_1 state
netstat_tcp_fin_wait2	Number of TCP connections in the FIN_WAIT_2 state
netstat_tcp_last_ack	Number of TCP connections in the LAST_ACK state
netstat_tcp_listen	Number of TCP connections in the LISTEN state
netstat_tcp_none	Number of TCP connections in the NONE state
netstat_tcp_syn_recv	Number of TCP connections in the SYN_RECV state
netstat_tcp_syn_sent	Number of TCP connections in the SYN_SENT state
netstat_tcp_time_wait	Number of TCP connections in the TIME_WAIT state
netstat_udp_socket	Number of UDP sockets
net_tcp_activeopens	Number of active TCP open connections
net_tcp_attemptfails	Number of failed TCP connection attempts
net_tcp_currestab	Number of currently established TCP connections
net_tcp_estabresets	Number of established TCP connections reset
net_tcp_incsumerrors	Number of TCP checksum errors in incoming packets
net_tcp_inerrs	Number of incoming TCP packets with errors
net_tcp_insegs	Number of TCP segments received
net_tcp_maxconn	Maximum number of TCP connections supported
net_tcp_outrsts	Number of TCP reset packets sent
net_tcp_outsegs	Number of TCP segments sent
net_tcp_passiveopens	Number of passive TCP open connections
net_tcp_retranssegs	Number of TCP segments retransmitted
net_tcp_rtoalgorithm	TCP retransmission timeout algorithm
net_tcp_rtomax	Maximum TCP retransmission timeout
net_tcp_rtomin	Minimum TCP retransmission timeout
net_udp_ignoredmulti	Number of UDP multicast packets ignored
net_udp_incsumerrors	Number of UDP checksum errors in incoming packets
net_udp_indatagrams	Number of UDP datagrams received
net_udp_inerrors	Number of incoming UDP packets with errors
net_udplite_ignoredmulti	Number of UDP-Lite multicast packets ignored
net_udplite_incsumerrors	Number of UDP-Lite checksum errors in incoming packets
net_udplite_indatagrams	Number of UDP-Lite datagrams received
net_udplite_inerrors	Number of incoming UDP-Lite packets with errors
net_udplite_noports	Number of UDP-Lite packets received with no port available
net_udplite_outdatagrams	Number of UDP-Lite datagrams sent
net_udplite_rcvbuferrors	Number of UDP-Lite receive buffer errors
net_udplite_sndbuferrors	Number of UDP-Lite send buffer errors
net_udp_noports	Number of UDP packets received with no port available
net_udp_outdatagrams	Number of UDP datagrams sent
net_udp_rcvbuferrors	Number of UDP receive buffer errors
net_udp_sndbuferrors	Number of UDP send buffer errors

Process

Metrics such as processes_running and processes_zombies provide insights into the management of the system’s processes.

Metric	Description
processes_blocked	Number of processes that are blocked
processes_dead	Number of processes that have terminated
processes_idle	Number of processes that are idle
processes_paging	Number of processes that are paging
processes_running	Number of processes currently running
processes_sleeping	Number of processes that are sleeping
processes_stopped	Number of processes that are stopped
processes_total	Total number of processes
processes_total_threads	Total number of threads across all processes
processes_unknown	Number of processes in an unknown state
processes_zombies	Number of zombie processes (terminated but not reaped by parent process)

Swap usage

Metrics such as swap_free and swap_used provide insights into the usage of the system’s swap memory.

Metric	Description
swap_free	Amount of free swap memory
swap_in	Amount of data swapped in from disk
swap_out	Amount of data swapped out to disk
swap_total	Total amount of swap memory
swap_used	Amount of used swap memory
swap_used_percent	Percentage of swap memory used