Basic metrics of containers and cloud services that are supported by Managed Service for Prometheus - Application Real-Time Monitoring Service

When you use Alibaba Cloud Managed Service for Prometheus, you are charged based on the number of reported data entries on billable metrics. The metrics are classified into basic metrics and custom metrics. Basic metrics are free of charge. You are charged for custom metrics starting from January 6, 2020.

Kubernetes clusters

The following tables describe the basic metrics of Kubernetes clusters that are supported by Managed Service for Prometheus.

Jobs names and basic metrics related to Prometheus instance status

Job name	Metric type	Metric name	Description
_arms-prom/kubelet/1	Basic metric	promhttp_metric_handler_requests_in_flight	-
		go_memstats_mallocs_total	A counter value that shows the number of allocated heap objects. You can call the `rate()` function to calculate the allocation rate of heap objects.
		go_memstats_lookups_total	A counter value that shows the number of dereferenced pointers. You can call the `rate()` function to calculate the dereferencing rate of pointers.
		go_memstats_last_gc_time_seconds	The timestamp when the last garbage collection (GC) was complete.
		go_memstats_heap_sys_bytes	The number of memory bytes allocated for the heap from the operating system, including the virtual address space that is reserved but not used.
		go_memstats_heap_released_bytes	The number of free spans that have been returned to the operating system.
		go_memstats_heap_objects	The number of objects allocated on the heap. The number varies based on GC and the allocation of new objects.
		go_memstats_heap_inuse_bytes	The number of bytes occupied by the spans in use.
		go_memstats_heap_idle_bytes	The number of memory bytes occupied by free spans.
		go_memstats_heap_alloc_bytes	The number of memory bytes allocated for heap objects. The heap objects include all reachable heap objects and the unreachable objects that are not removed during GC.
		go_memstats_gc_sys_bytes	The amount of memory occupied by GC metadata.
		go_memstats_gc_cpu_fraction	The percentage of CPU time consumed by GC since the program was started.
		go_memstats_frees_total	A counter value that shows the number of removed heap objects. You can call the `rate()` function to calculate the removal rate of heap objects. You can use the `go_memstats_mallocs_total - go_memstats_frees_total` formula to calculate the number of surviving heap objects.
		go_memstats_buck_hash_sys_bytes	The amount of memory occupied by the hash tables used for profiling.
		go_memstats_alloc_bytes_total	The value of the metric increases as objects are allocated in the heap, but does not decrease when objects are removed. Similar to Prometheus counters, the `rate()` function can be called to query the memory consumption rate.
		go_memstats_alloc_bytes	The number of memory bytes allocated for heap objects. The heap objects include all reachable heap objects and the unreachable objects that are not removed during GC.
		scrape_duration_seconds	-
		go_info	The information about the Go version. The value is obtained by calling the `runtime.Version()` function.
		go_goroutines	The value is obtained by calling the `runtime.NumGoroutine()` function based on the sched scheduler structure and the global allglen variable. All fields in the sched structure may concurrently change. Therefore, the system checks whether the value is less than 1. If the value is less than 1, 1 is returned.
		scrape_samples_post_metric_relabeling	-
		go_gc_duration_seconds_sum	-
		go_gc_duration_seconds_count	-
		blackbox_exporter_config_last_reload_successful	-
		blackbox_exporter_config_last_reload_success_timestamp_seconds	-
		scrape_samples_scraped	-
		blackbox_exporter_build_info	-
		arms_prometheus_target_scrapes_sample_out_of_order_total	-
		arms_prometheus_target_scrapes_sample_out_of_bounds_total	-
		arms_prometheus_target_scrapes_sample_duplicate_timestamp_total	-
		scrape_series_added	-
		arms_prometheus_target_scrapes_exceeded_sample_limit_total	-
		arms_prometheus_target_scrapes_cache_flush_forced_total_arms-prom/kubelet/1	-
		arms_prometheus_target_scrape_pools_total	-
		statsd_metric_mapper_cache_gets_total	-
		statsd_metric_mapper_cache_hits_total	-
		statsd_metric_mapper_cache_length	-
		arms_prometheus_target_scrape_pools_failed_total	-
		up	-
		arms_prometheus_target_scrape_pool_reloads_total	-
		arms_prometheus_target_scrape_pool_reloads_failed_total	-

Job names and basic metrics related to API server data collection

Job name	Metric type	Metric name
apiserver	Basic metric	apiserver_request_duration_seconds_bucket (deprecated by default)
		apiserver_admission_controller_admission_duration_seconds_bucket
		apiserver_request_total
		rest_client_requests_total
		apiserver_admission_webhook_admission_duration_seconds_bucket
		apiserver_current_inflight_requests
		up
		apiserver_admission_webhook_admission_duration_seconds_count
		scrape_samples_post_metric_relabeling
		scrape_samples_scraped
		scrape_series_added
		scrape_duration_seconds

Job names and basic metrics related to Ingress data collection

Job name	Metric type	Metric name	Description
arms-ack-ingress	Basic metric	nginx_ingress_controller_request_duration_seconds_bucket	-
		nginx_ingress_controller_response_duration_seconds_bucket (deprecated by default)	-
		nginx_ingress_controller_response_size_bucket (deprecated by default)	-
		nginx_ingress_controller_request_size_bucket	-
		nginx_ingress_controller_bytes_sent_bucket	-
		go_gc_duration_seconds	The value is obtained by calling the `debug.ReadGCStats()` function. When the function is called, the `PauseQuantile` field of the GCStats structure is set to 5. The function will return the minimum percentile, 25%, 50%, 75%, and the maximum percentile of the GC pause time. Then, the Prometheus Go client creates a summary metric based on the returned percentile of the GC pause time, NumGC, and PauseTotal variables.
		nginx_ingress_controller_nginx_process_connections	-
		nginx_ingress_controller_request_duration_seconds_sum	-
		nginx_ingress_controller_request_duration_seconds_count (deprecated by default)	-
		nginx_ingress_controller_bytes_sent_sum	-
		nginx_ingress_controller_request_size_sum	-
		nginx_ingress_controller_response_duration_seconds_count	-
		nginx_ingress_controller_response_duration_seconds_sum (deprecated by default)	-
		nginx_ingress_controller_response_size_count (deprecated by default)	-
		nginx_ingress_controller_bytes_sent_count	-
		nginx_ingress_controller_response_size_sum	-
		nginx_ingress_controller_request_size_count	-
		promhttp_metric_handler_requests_total	-
		nginx_ingress_controller_nginx_process_connections_total	-
		go_memstats_mcache_sys_bytes	The amount of memory allocated from the operating system for the mcache structure.
		go_memstats_lookups_total	A counter value that shows the number of dereferenced pointers. You can call the `rate()` function to calculate the dereferencing rate of pointers.
		go_threads	The value is obtained by calling the `runtime.CreateThreadProfile()` function based on the global allm variable.
		go_memstats_sys_bytes	The number of memory bytes that Go has obtained from the system.
		go_memstats_last_gc_time_seconds	The timestamp when the last GC was complete.
		go_memstats_heap_sys_bytes	The number of memory bytes allocated for the heap from the operating system, including the virtual address space that is reserved but not used.
		go_memstats_heap_objects	The number of objects allocated on the heap. The number varies based on GC and the allocation of new objects.
		go_memstats_heap_inuse_bytes	The number of bytes occupied by the spans in use.
		go_memstats_heap_idle_bytes	The number of memory bytes occupied by free spans.
		go_memstats_heap_alloc_bytes	The number of memory bytes allocated for heap objects. The heap objects include all reachable heap objects and the unreachable objects that are not removed during GC.
		go_memstats_gc_sys_bytes	The amount of memory occupied by GC metadata.
		promhttp_metric_handler_requests_in_flight	-
		go_memstats_stack_sys_bytes	The number of stack memory bytes obtained from the operating system. The value is obtained based on the value of the `go_memstats_stack_inuse_bytes` metric plus the size of the operating system thread stack.
		go_memstats_stack_inuse_bytes	The amount of used memory on a stack memory span on which at least one stack object is allocated.
		go_memstats_gc_cpu_fraction	The percentage of CPU time consumed by GC since the program was started.
		go_memstats_frees_total	A counter value that shows the number of removed heap objects. You can call the `rate()` function to calculate the removal rate of heap objects. You can use the `go_memstats_mallocs_total - go_memstats_frees_total` formula to calculate the number of surviving heap objects.
		go_memstats_buck_hash_sys_bytes	The amount of memory occupied by the hash tables used for profiling.
		go_memstats_alloc_bytes_total	The value of the metric increases as objects are allocated in the heap, but does not decrease when objects are removed. Similar to Prometheus counters, the `rate()` function can be called to query the memory consumption rate.
		go_memstats_alloc_bytes	The number of memory bytes allocated for heap objects. The heap objects include all reachable heap objects and the unreachable objects that are not removed during GC.
		nginx_ingress_controller_nginx_process_num_procs	-
		go_info	The information about the Go version. The value is obtained by calling the `runtime.Version()` function.
		go_memstats_mallocs_total	A counter value that shows the number of allocated heap objects. You can call the `rate()` function to calculate the allocation rate of heap objects.
		go_memstats_other_sys_bytes	The amount of memory used for other runtime allocations.
		go_goroutines	The value is obtained by calling the `runtime.NumGoroutine()` function based on the sched scheduler structure and the global allglen variable. All fields in the sched structure may concurrently change. Therefore, the system checks whether the value is less than 1. If the value is less than 1, 1 is returned.
		scrape_samples_post_metric_relabeling	-
		scrape_samples_scraped	-
		process_virtual_memory_max_bytes	-
		process_virtual_memory_bytes	The virtual set size (VSS). The value indicates all allocated memory, including the memory that is allocated but not used, and the memory that is shared and swapped out.
		scrape_duration_seconds	-
		go_memstats_heap_released_bytes	The number of free spans that have been returned to the operating system.
		go_gc_duration_seconds_sum	-
		go_memstats_next_gc_bytes	The amount of heap memory during the next GC cycle. GC is used to ensure that the value is greater than the value of the `go_memstats_heap_alloc_bytes` metric.
		go_gc_duration_seconds_count	-
		nginx_ingress_controller_config_hash	-
		nginx_ingress_controller_config_last_reload_successful	-
		nginx_ingress_controller_config_last_reload_successful_timestamp_seconds	-
		nginx_ingress_controller_ingress_upstream_latency_seconds_count	-
		nginx_ingress_controller_ingress_upstream_latency_seconds_sum	-
		process_start_time_seconds	The value is obtained based on the `start_time` parameter. The `start_time` parameter specifies the time when a process starts. Unit: jiffy. The data comes from the `/proc/stat` directory. You can divide the value of the `start_time` parameter by USER_HZ to calculate the value, which is measured in seconds.
		nginx_ingress_controller_nginx_process_cpu_seconds_total	-
		scrape_series_added	-
		nginx_ingress_controller_nginx_process_oldest_start_time_seconds	-
		nginx_ingress_controller_nginx_process_read_bytes_total	-
		nginx_ingress_controller_nginx_process_requests_total	-
		nginx_ingress_controller_nginx_process_resident_memory_bytes	-
nginx_ingress_controller_nginx_process_virtual_memory_bytes	-
nginx_ingress_controller_nginx_process_write_bytes_total	-
nginx_ingress_controller_requests	-
go_memstats_mcache_inuse_bytes	The amount of memory used by the mcache structure.
nginx_ingress_controller_success	-
process_resident_memory_bytes	The resident set size (RSS). The value indicates the actual memory used by processes, including the shared memory. The memory that is allocated but not used, or the memory that is swapped out is not included.
process_open_fds	The value is obtained by calculating the total number of files in the `/proc/PID/fd` directory. It shows the total number of regular files, sockets, and pseudo-terminals opened by Go processes.
process_max_fds	The value is obtained by reading the value of the `Max Open Files` row in the `/proc/{PID}/limits` file. The value is a soft limit. The soft limit is the value that the kernel uses to limit the resources. The hard limit is the maximum value of the soft limit.
process_cpu_seconds_total	The value is obtained based on the `utime` parameter (the number of ticks executed by the Go process in user mode) and the `stime` parameter (the number of ticks executed by the Go process in kernel mode or when the system is called). Unit of the parameters: jiffy, which measures the tick time between two system timer interruptions. The value of the process_cpu_seconds_total metric is the sum of utime and stime divided by USER_HZ. The total number of program ticks divided by the tick rate (ticks per second. Unit: Hz) is the total time (unit: seconds) that the operating system has been running the process.
go_memstats_mspan_sys_bytes	The amount of memory allocated from the operating system for the mspan structure.
up	-
go_memstats_mspan_inuse_bytes	The amount of memory used by the mspan structure.
nginx_ingress_controller_ssl_expire_time_seconds	-
nginx_ingress_controller_leader_election_status	-

Job names and basic metrics related to CoreDNS data collection

Job name	Metric type	Metric name	Description
arms-ack-coredns	Basic metric	coredns_forward_request_duration_seconds_bucket	-
		coredns_dns_request_size_bytes_bucket	-
		coredns_dns_response_size_bytes_bucket	-
		coredns_kubernetes_dns_programming_duration_seconds_bucket	-
		coredns_dns_request_duration_seconds_bucket	-
		coredns_plugin_enabled	-
		coredns_health_request_duration_seconds_bucket	-
		go_gc_duration_seconds	The value is obtained by calling the `debug.ReadGCStats()` function. When the function is called, the `PauseQuantile` field of the GCStats structure is set to 5. The function will return the minimum percentile, 25%, 50%, 75%, and the maximum percentile of the GC pause time. Then, the Prometheus Go client creates a summary metric based on the returned percentile of the GC pause time, NumGC, and PauseTotal variables.
		coredns_forward_responses_total	-
		coredns_forward_request_duration_seconds_sum	-
		coredns_forward_request_duration_seconds_count	-
		coredns_dns_requests_total	-
		coredns_forward_conn_cache_misses_total	-
		coredns_dns_responses_total	-
		coredns_cache_entries	-
		coredns_cache_hits_total	-
		coredns_forward_conn_cache_hits_total	-
		coredns_forward_requests_total	-
		coredns_dns_request_size_bytes_sum	-
		coredns_dns_response_size_bytes_count	-
		coredns_dns_response_size_bytes_sum	-
		coredns_dns_request_size_bytes_count	-
		scrape_duration_seconds	-
		scrape_samples_scraped	-
		scrape_series_added	-
		up	-
		scrape_samples_post_metric_relabeling	-
		go_memstats_lookups_total	A counter value that shows the number of dereferenced pointers. You can call the `rate()` function to calculate the dereferencing rate of pointers.
		go_memstats_last_gc_time_seconds	The timestamp when the last GC was complete.
		go_memstats_heap_sys_bytes	The number of memory bytes allocated for the heap from the operating system, including the virtual address space that is reserved but not used.
		coredns_build_info	-
		go_memstats_heap_released_bytes	The number of free spans that have been returned to the operating system.
		go_memstats_heap_objects	The number of objects allocated on the heap. The number varies based on GC and the allocation of new objects.
		go_memstats_heap_inuse_bytes	The number of bytes occupied by the spans in use.
		go_memstats_heap_idle_bytes	The number of memory bytes occupied by free spans.
		go_memstats_heap_alloc_bytes	The number of memory bytes allocated for heap objects. The heap objects include all reachable heap objects and the unreachable objects that are not removed during GC.
		go_memstats_gc_sys_bytes	The amount of memory occupied by GC metadata.
		go_memstats_sys_bytes	The number of memory bytes that Go has obtained from the system.
		go_memstats_stack_sys_bytes	The number of stack memory bytes obtained from the operating system. The value is obtained based on the value of the `go_memstats_stack_inuse_bytes` metric plus the size of the operating system thread stack.
		go_memstats_mallocs_total	A counter value that shows the number of allocated heap objects. You can call the `rate()` function to calculate the allocation rate of heap objects.
		go_memstats_gc_cpu_fraction	The percentage of CPU time consumed by GC since the program was started.
		go_memstats_stack_inuse_bytes	The amount of used memory on a stack memory span on which at least one stack object is allocated.
		go_memstats_frees_total	A counter value that shows the number of removed heap objects. You can call the `rate()` function to calculate the removal rate of heap objects. You can use the `go_memstats_mallocs_total - go_memstats_frees_total` formula to calculate the number of surviving heap objects.
		go_memstats_buck_hash_sys_bytes	The amount of memory occupied by the hash tables used for profiling.
		go_memstats_alloc_bytes_total	The value of the metric increases as objects are allocated in the heap, but does not decrease when objects are removed. Similar to Prometheus counters, the `rate()` function can be called to query the memory consumption rate.
		go_memstats_alloc_bytes	The number of memory bytes allocated for heap objects. The value is the same as the value of the `go_memstats_heap_alloc_bytes` metric. The heap objects include all reachable heap objects and the unreachable objects that are not removed during GC.
		coredns_cache_misses_total	-
		go_memstats_other_sys_bytes	The amount of memory used for other runtime allocations.
		go_memstats_mcache_inuse_bytes	The amount of memory used by the mcache structure.
		go_goroutines	The value is obtained by calling the `runtime.NumGoroutine()` function based on the sched scheduler structure and the global allglen variable. All fields in the sched structure may concurrently change. Therefore, the system checks whether the value is less than 1. If the value is less than 1, 1 is returned.
		process_virtual_memory_max_bytes	-
		process_virtual_memory_bytes	The VSS. The value indicates all allocated memory, including the memory that is allocated but not used, and the memory that is shared and swapped out.
		go_gc_duration_seconds_sum	-
		go_gc_duration_seconds_countarms-ack-coredns	-
		go_memstats_next_gc_bytes	The amount of heap memory during the next GC cycle. GC is used to ensure that the value is greater than the value of the `go_memstats_heap_alloc_bytes` metric.
		coredns_dns_request_duration_seconds_count	-
		coredns_reload_failed_total	-
		coredns_panics_total	-
		coredns_local_localhost_requests_total	-
		coredns_kubernetes_dns_programming_duration_seconds_sum	-
		coredns_kubernetes_dns_programming_duration_seconds_count	-
		coredns_dns_request_duration_seconds_sum	-
		coredns_hosts_reload_timestamp_seconds	-
		oredns_health_request_failures_total	-
process_start_time_seconds	The value is obtained based on the `start_time` parameter. The `start_time` parameter specifies the time when a process starts. Unit: jiffy. The data comes from the `/proc/stat` directory. You can divide the value of the `start_time` parameter by USER_HZ to calculate the value, which is measured in seconds.
process_resident_memory_bytes	The RSS. The value indicates the actual memory used by processes, including the shared memory. The memory that is allocated but not used, or the memory that is swapped out is not included.
process_open_fds	The value is obtained by calculating the total number of files in the `/proc/PID/fd` directory. It shows the total number of regular files, sockets, and pseudo-terminals opened by Go processes.
process_max_fds	The value is obtained by reading the value of the `Max Open Files` row in the `/proc/{PID}/limits` file. The value is a soft limit. The soft limit is the value that the kernel uses to limit the resources. The hard limit is the maximum value of the soft limit.
process_cpu_seconds_total	The value is obtained based on the `utime` parameter (the number of ticks executed by the Go process in user mode) and the `stime` parameter (the number of ticks executed by the Go process in kernel mode or when the system is called). Unit of the parameters: jiffy, which measures the tick time between two system timer interruptions. The value of the process_cpu_seconds_total metric is the sum of utime and stime divided by USER_HZ. The total number of program ticks divided by the tick rate (ticks per second. Unit: Hz) is the total time (unit: seconds) that the operating system has been running the process.
coredns_health_request_duration_seconds_sum	-
coredns_health_request_duration_seconds_count	-
go_memstats_mspan_sys_bytes	The amount of memory allocated from the operating system for the mspan structure.
coredns_forward_max_concurrent_rejects_total	-
coredns_forward_healthcheck_broken_total	-
go_memstats_mcache_sys_bytes	The amount of memory allocated from the operating system for the mcache structure.
go_memstats_mspan_inuse_bytes	The amount of memory used by the mspan structure.
go_threads	The value is obtained by calling the `runtime.CreateThreadProfile()` function based on the global allm variable.
go_info	The information about the Go version. The value is obtained by calling the `runtime.Version()` function.

Job names and basic metrics related to Kube-State-Metrics data collection

Job name	Metric type	Metric name
_kube-state-metrics	Basic metric	kube_pod_container_status_waiting_reason
		kube_pod_status_phase
		kube_pod_container_status_last_terminated_reason
		kube_pod_container_status_terminated_reason
		kube_pod_status_ready
		kube_node_status_condition
		kube_pod_container_status_running
		kube_pod_container_status_restarts_total
		kube_pod_container_info
		kube_pod_container_status_waiting
		kube_pod_container_status_terminated
		kube_pod_labels
		kube_pod_owner
		kube_pod_info
		kube_pod_container_resource_limits
		kube_persistentvolume_status_phase
		kube_pod_container_resource_requests_memory_bytes
		kube_pod_container_resource_requests_cpu_cores
		kube_pod_container_resource_limits_memory_bytes
		kube_node_status_capacity
		kube_service_info
		kube_pod_container_resource_limits_cpu_cores
		kube_deployment_status_replicas_updated
		kube_deployment_status_replicas_unavailable
		kube_deployment_spec_replicas
		kube_deployment_created
		kube_deployment_metadata_generation
		kube_deployment_status_replicas
		kube_deployment_labels
		kube_deployment_status_observed_generation
		kube_deployment_status_replicas_available
		kube_deployment_spec_strategy_rollingupdate_max_unavailable
		kube_daemonset_status_desired_number_scheduled
		kube_daemonset_updated_number_scheduled
		kube_daemonset_status_number_ready
		kube_daemonset_status_number_misscheduled
		kube_daemonset_status_number_available
		kube_daemonset_status_current_number_scheduled
		kube_daemonset_created
		kube_node_status_allocatable_cpu_cores
		kube_node_status_capacity_memory_bytes
		kube_node_spec_unschedulable
		kube_node_status_allocatable_memory_bytes
		kube_node_labels
		kube_node_info
		kube_namespace_labels
		kube_node_status_capacity_cpu_cores
		kube_node_status_capacity_pods
		kube_node_status_allocatable_pods
		kube_node_spec_taint
		kube_statefulset_status_replicas
		kube_statefulset_replicas
		kube_statefulset_created
		up
		scrape_samples_scraped
		scrape_duration_seconds
		scrape_samples_post_metric_relabeling
		scrape_series_added

Job names and basic metrics related to Kubelet data collection

Job name	Metric type	Metric name	Description
_arms/kubelet/metric	Basic metric	rest_client_request_duration_seconds_bucket	-
		apiserver_client_certificate_expiration_seconds_bucket	-
		kubelet_pod_worker_duration_seconds_bucket	-
		kubelet_pleg_relist_duration_seconds_bucket	-
		workqueue_queue_duration_seconds_bucket	-
		rest_client_requests_total	-
		go_gc_duration_seconds	The value is obtained by calling the `debug.ReadGCStats()` function. When the function is called, the `PauseQuantile` field of the GCStats structure is set to 5. The function will return the minimum percentile, 25%, 50%, 75%, and the maximum percentile of the GC pause time. Then, the Prometheus Go client creates a summary metric based on the returned percentile of the GC pause time, NumGC, and PauseTotal variables.
		process_cpu_seconds_total	The value is obtained based on the `utime` parameter (the number of ticks executed by the Go process in user mode) and the `stime` parameter (the number of ticks executed by the Go process in kernel mode or when the system is called). Unit of the parameters: jiffy, which measures the tick time between two system timer interruptions. The value of the process_cpu_seconds_total metric is the sum of utime and stime divided by USER_HZ. The total number of program ticks divided by the tick rate (ticks per second. Unit: Hz) is the total time (unit: seconds) that the operating system has been running the process.
		process_resident_memory_bytes	The RSS. The value indicates the actual memory used by processes, including the shared memory. The memory that is allocated but not used, or the memory that is swapped out is not included.
		kubernetes_build_info	-
		kubelet_node_name	-
		kubelet_certificate_manager_client_ttl_seconds	-
		kubelet_certificate_manager_client_expiration_renew_errors	-
		scrape_duration_seconds	-
		go_goroutines	The value is obtained by calling the `runtime.NumGoroutine()` function based on the sched scheduler structure and the global allglen variable. All fields in the sched structure may concurrently change. Therefore, the system checks whether the value is less than 1. If the value is less than 1, 1 is returned.
		crape_samples_post_metric_relabeling	-
		scrape_samples_scraped	-
		scrape_series_added	-
		up	-
		apiserver_client_certificate_expiration_seconds_count	-
		workqueue_adds_total	-
		workqueue_depth	-

Job names and basic metrics related to cAdvisor data collection

Job name	Metric type	Metric name
_arms/kubelet/cadvisor	Basic metric	container_memory_failures_total (deprecated by default)
		container_memory_rss
		container_spec_memory_limit_bytes
		container_memory_failcnt
		container_memory_cache
		container_memory_swap
		container_memory_usage_bytes
		container_memory_max_usage_bytes
		container_cpu_load_average_10s
		container_fs_reads_total (deprecated by default)
		container_fs_writes_total (deprecated by default)
		container_network_transmit_errors_total
		container_network_receive_bytes_total
		container_network_transmit_packets_total
		container_network_receive_errors_total
		container_network_receive_bytes_total
		container_network_receive_errors_total
		container_network_transmit_errors_total
		container_memory_working_set_bytes
		container_cpu_usage_seconds_total
		container_fs_reads_bytes_total
		container_fs_writes_bytes_total
		container_spec_cpu_quota
		container_cpu_cfs_periods_total
		container_cpu_cfs_throttled_periods_total
		container_cpu_cfs_throttled_seconds_total
		container_fs_inodes_free
		container_fs_io_time_seconds_total
		container_fs_io_time_weighted_seconds_total
		container_fs_limit_bytes
		container_tasks_state (deprecated by default)
		container_fs_read_seconds_total (deprecated by default)
		container_fs_write_seconds_total (deprecated by default)
		container_fs_usage_bytes
		container_fs_inodes_total
		container_fs_io_current
		scrape_duration_seconds
		scrape_samples_scraped
		machine_cpu_cores
		machine_memory_bytes
		scrape_samples_post_metric_relabeling
		scrape_series_added
		up
_arms-prom/kube-apiserver/cadvisor	Basic metric	scrape_duration_seconds
		up
		scrape_samples_scraped
		scrape_samples_post_metric_relabeling
		scrape_series_added

Job names and basic metrics related to ACK Scheduler data collection

Job name	Metric type	Metric name
ack-scheduler	Basic metric	rest_client_request_duration_seconds_bucket
		scheduler_pod_scheduling_attempts_bucket
		rest_client_requests_total
		scheduler_pending_pods
		scheduler_scheduler_cache_size
		up

Job names and basic metrics related to etcd data collection

Job name	Metric type	Metric name
etcd	Basic metric	etcd_disk_backend_commit_duration_seconds_bucket
		up
		etcd_server_has_leader
		etcd_debugging_mvcc_keys_total
		etcd_debugging_mvcc_db_total_size_in_bytes
		etcd_server_leader_changes_seen_total

Job names and basic metrics related to node data collection

Job name	Metric type	Metric name	Description
node-exporter	Basic metric	node_filesystem_size_bytes	-
		node_filesystem_readonly	-
		node_filesystem_free_bytes	-
		node_filesystem_avail_bytes	-
		node_cpu_seconds_total	-
		node_network_receive_bytes_total	-
		node_network_receive_errs_total	-
		node_network_transmit_bytes_total	-
		node_network_receive_packets_total	-
		node_network_transmit_drop_total	-
		node_network_transmit_errs_total	-
		node_network_up	-
		node_network_transmit_packets_total	-
		node_network_receive_drop_total	-
		go_gc_duration_seconds	The value is obtained by calling the `debug.ReadGCStats()` function. When the function is called, the `PauseQuantile` field of the GCStats structure is set to 5. The function will return the minimum percentile, 25%, 50%, 75%, and the maximum percentile of the GC pause time. Then, the Prometheus Go client creates a summary metric based on the returned percentile of the GC pause time, NumGC, and PauseTotal variables.
		node_load5	-
		node_filefd_allocated	-
		node_exporter_build_info	-
		node_disk_written_bytes_total	-
		node_disk_writes_completed_total	-
		node_disk_write_time_seconds_total	-
		node_nf_conntrack_entries	-
		node_nf_conntrack_entries_limit	-
		node_processes_max_processes	-
		node_processes_pids	-
		node_sockstat_TCP_alloc	-
		node_sockstat_TCP_inuse	-
		node_sockstat_TCP_tw	-
		node_timex_offset_seconds	-
		node_timex_sync_status	-
		node_uname_info	-
		node_vmstat_pgfault	-
		node_vmstat_pgmajfault	-
		node_vmstat_pgpgin	-
		node_vmstat_pgpgout	-
		node_disk_reads_completed_total	-
		node_disk_read_time_seconds_total	-
		process_cpu_seconds_total	The value is obtained based on the `utime` parameter (the number of ticks executed by the Go process in user mode) and the `stime` parameter (the number of ticks executed by the Go process in kernel mode or when the system is called). Unit of the parameters: jiffy, which measures the tick time between two system timer interruptions. The value of the process_cpu_seconds_total metric is the sum of utime and stime divided by USER_HZ. The total number of program ticks divided by the tick rate (ticks per second. Unit: Hz) is the total time (unit: seconds) that the operating system has been running the process.
		node_disk_read_bytes_total	-
		node_disk_io_time_weighted_seconds_total	-
		node_disk_io_time_seconds_total	-
		node_disk_io_now	-
		node_context_switches_total	-
		node_boot_time_seconds	-
		process_resident_memory_bytes	The RSS. The value indicates the actual memory used by processes, including the shared memory. The memory that is allocated but not used, or the memory that is swapped out is not included.
		node_intr_total	-
		node_load1	-
		go_goroutines	The value is obtained by calling the `runtime.NumGoroutine()` function based on the sched scheduler structure and the global allglen variable. All fields in the sched structure may concurrently change. Therefore, the system checks whether the value is less than 1. If the value is less than 1, 1 is returned.
		scrape_duration_seconds	-
		node_load15	-
		scrape_samples_post_metric_relabeling	-
		node_netstat_Tcp_PassiveOpens	-
		scrape_samples_scraped	-
		node_netstat_Tcp_CurrEstab	-
		scrape_series_added	-
		node_netstat_Tcp_ActiveOpens	-
		node_memory_MemTotal_bytes	-
		node_memory_MemFree_bytes	-
		node_memory_MemAvailable_bytes	-
		node_memory_Cached_bytes	-
		up	-
		node_memory_Buffers_bytes	-

Job names and basic metrics related to GPU data collection

Job name	Metric type	Metric name	Description
gpu-exporter	Basic metric	go_gc_duration_seconds	The value is obtained by calling the `debug.ReadGCStats()` function. When the function is called, the `PauseQuantile` field of the GCStats structure is set to 5. The function will return the minimum percentile, 25%, 50%, 75%, and the maximum percentile of the GC pause time. Then, the Prometheus Go client creates a summary metric based on the returned percentile of the GC pause time, NumGC, and PauseTotal variables.
		promhttp_metric_handler_requests_total	-
		scrape_series_added	-
		up	-
		scrape_duration_seconds	-
		scrape_samples_scraped	-
		scrape_samples_post_metric_relabeling	-
		go_memstats_mcache_inuse_bytes	The amount of memory used by the mcache structure.
		process_virtual_memory_max_bytes	-
		process_virtual_memory_bytes	The VSS. The value indicates all allocated memory, including the memory that is allocated but not used, and the memory that is shared and swapped out.
		process_start_time_seconds	The value is obtained based on the `start_time` parameter. The `start_time` parameter specifies the time when a process starts. Unit: jiffy. The data comes from the `/proc/stat` directory. You can divide the value of the `start_time` parameter by USER_HZ to calculate the value, which is measured in seconds.
		go_memstats_next_gc_bytes	The amount of heap memory during the next GC cycle. GC is used to ensure that the value is greater than the value of the `go_memstats_heap_alloc_bytes` metric.
		go_memstats_heap_objects	The number of objects allocated on the heap. The number varies based on GC and the allocation of new objects.
		process_resident_memory_bytes	The RSS. The value indicates the actual memory used by processes, including the shared memory. The memory that is allocated but not used, or the memory that is swapped out is not included.
		process_open_fds	The value is obtained by calculating the total number of files in the `/proc/PID/fd` directory. It shows the total number of regular files, sockets, and pseudo-terminals opened by Go processes.
		process_max_fds	The value is obtained by reading the value of the `Max Open Files` row in the `/proc/{PID}/limits` file. The value is a soft limit. The soft limit is the value that the kernel uses to limit the resources. The hard limit is the maximum value of the soft limit.
		go_memstats_other_sys_bytes	The amount of memory used for other runtime allocations.
		go_gc_duration_seconds_count	-
		go_memstats_heap_alloc_bytes	The number of memory bytes allocated for heap objects. The heap objects include all reachable heap objects and the unreachable objects that are not removed during GC.
		process_cpu_seconds_total	The value is obtained based on the `utime` parameter (the number of ticks executed by the Go process in user mode) and the `stime` parameter (the number of ticks executed by the Go process in kernel mode or when the system is called). Unit of the parameters: jiffy, which measures the tick time between two system timer interruptions. The value of the process_cpu_seconds_total metric is the sum of utime and stime divided by USER_HZ. The total number of program ticks divided by the tick rate (ticks per second. Unit: Hz) is the total time (unit: seconds) that the operating system has been running the process.
		nvidia_gpu_temperature_celsius (deprecated by default)	-
		go_memstats_stack_inuse_bytes	The amount of used memory on a stack memory span on which at least one stack object is allocated.
		nvidia_gpu_power_usage_milliwatts (deprecated by default)	-
		nvidia_gpu_num_devices (deprecated by default)	-
		nvidia_gpu_memory_used_bytes (deprecated by default)	-
		nvidia_gpu_memory_total_bytes (deprecated by default)	-
		go_memstats_stack_sys_bytes	The number of stack memory bytes obtained from the operating system. The value is obtained based on the value of the `go_memstats_stack_inuse_bytes` metric plus the size of the operating system thread stack.
		nvidia_gpu_memory_allocated_bytes (deprecated by default)	-
		nvidia_gpu_duty_cycle (deprecated by default)	-
		nvidia_gpu_allocated_num_devices (deprecated by default)	-
		promhttp_metric_handler_requests_in_flight	-
		go_memstats_sys_bytes	The number of memory bytes that Go has obtained from the system.
		go_memstats_gc_sys_bytes	The amount of memory occupied by GC metadata.
		go_memstats_gc_cpu_fraction	The percentage of CPU time consumed by GC since the program was started.
		go_memstats_heap_released_bytes	The number of free spans that have been returned to the operating system.
		go_memstats_frees_total	A counter value that shows the number of removed heap objects. You can call the `rate()` function to calculate the removal rate of heap objects. You can use the `go_memstats_mallocs_total - go_memstats_frees_total` formula to calculate the number of surviving heap objects.
		go_threads	The value is obtained by calling the `runtime.CreateThreadProfile()` function based on the global allm variable.
		go_memstats_mspan_sys_bytes	The amount of memory allocated from the operating system for the mspan structure.
		go_memstats_buck_hash_sys_bytes	The amount of memory occupied by the hash tables used for profiling.
		go_memstats_alloc_bytes_total	The value of the metric increases as objects are allocated in the heap, but does not decrease when objects are removed. Similar to Prometheus counters, the `rate()` function can be called to query the memory consumption rate.
		go_memstats_heap_sys_bytes	The number of memory bytes allocated for the heap from the operating system, including the virtual address space that is reserved but not used.
		go_memstats_mspan_inuse_bytes	The amount of memory used by the mspan structure.
		go_memstats_alloc_bytes	The number of memory bytes allocated for heap objects. The value is the same as the value of the `go_memstats_heap_alloc_bytes` metric. The heap objects include all reachable heap objects and the unreachable objects that are not removed during GC.
		go_info	The information about the Go version. The value is obtained by calling the `runtime.Version()` function.
		go_memstats_last_gc_time_seconds	The timestamp when the last GC was complete.
		go_memstats_heap_inuse_bytes	The number of bytes occupied by the spans in use.
		go_memstats_mcache_sys_bytes	The amount of memory allocated from the operating system for the mcache structure.
		go_memstats_lookups_total	A counter value that shows the number of dereferenced pointers. You can call the `rate()` function to calculate the dereferencing rate of pointers.
		go_memstats_mallocs_total	A counter value that shows the number of allocated heap objects. You can call the `rate()` function to calculate the allocation rate of heap objects.
		go_gc_duration_seconds_sum	-
		go_goroutines	The value is obtained by calling the `runtime.NumGoroutine()` function based on the sched scheduler structure and the global allglen variable. All fields in the sched structure may concurrently change. Therefore, the system checks whether the value is less than 1. If the value is less than 1, 1 is returned.
		go_memstats_heap_idle_bytes	The number of memory bytes occupied by free spans.

Job names and basic metrics related to PV data collection

Job name	Metric type	Metric name
k8s-csi-cluster-pv	Basic metric	cluster_pvc_detail_num_total
		cluster_pv_detail_num_total
		cluster_pv_status_num_total
		cluster_scrape_collector_success
		cluster_scrape_collector_duration_seconds
		alibaba_cloud_storage_operator_build_info
		cluster_pvc_status_num_total
		scrape_duration_seconds
		scrape_samples_post_metric_relabeling
		scrape_samples_scraped
		scrape_series_added
		up
k8s-csi-node-pv	Basic metric	cluster_scrape_collector_duration_seconds
		cluster_scrape_collector_success
		alibaba_cloud_csi_driver_build_info
		up
		scrape_series_added
		scrape_samples_post_metric_relabeling
		scrape_samples_scraped
		scrape_duration_seconds

Hybrid Cloud Monitoring

The following table describes the metrics of Hybrid Cloud Monitoring that are supported by Managed Service for Prometheus.

Category	Metric type	Metric name	Description
ECS	Custom metric	cpu_util_lization	The CPU utilization of an Elastic Compute Service (ECS) instance.
		internet_in_rate	The average rate of inbound traffic from the Internet to an ECS instance.
		internet_out_rate	The average rate of outbound traffic from an ECS instance to the Internet.
		disk_read_bps	The bit rate of reads to all disks of an ECS instance.
		disk_write_bps	The number of reads per second to all disks of an ECS instance.
		vpc_public_ip_internet_in_Rate	The average rate of inbound traffic from the Internet to the IP address of an ECS instance.
		vpc_public_ip_internet_out_Rate	The average rate of outbound traffic from the IP address of an ECS instance to the Internet.
		cpu_total	(Agent) cpu.total
		memory_totalspace	(Agent) memory.total.space
		memory_usedutilization	(Agent) memory.used.utilization
		diskusage_utilization	(Agent) disk.usage.utilization_device
RDS	Custom metric	cpu_usage_average	The CPU utilization.
		disk_usage	The disk usage.
		iops_usage	The IOPS usage.
		connection_usage	The connection usage.
		data_delay	The latency of read-only instances.
		memory_usage	The memory usage.
		mysql_network_in_new	The inbound bandwidth of an ApsaraDB RDS for MySQL instance.
		mysql_network_out_new	The outbound bandwidth of an ApsaraDB RDS for MySQL instance.
		mysql_active_sessions	MySQL_ActiveSessions
		sqlserver_network_in_new	The inbound bandwidth of an ApsaraDB RDS for SQL Server instance.
		sqlserver_network_out_new	The outbound bandwidth of an ApsaraDB RDS for SQL Server instance.
NAT	Custom metric	snat_connection	The number of SNAT connections.
		snat_connection_drop_limit	The cumulative number of SNAT connections dropped due to the limit on the number of concurrent connections.
		snat_connection_drop_rate_limit	The cumulative number of SNAT connections dropped due to the limit on the number of new connections.
		net_rx_rate	The inbound bandwidth.
		net_tx_rate	The outbound bandwidth.
		net_rx_pkgs	The rate of inbound packets.
		net_tx_pkgs	The rate of outbound packets.
RocketMQ	Custom metric	consumer_lag_gid	The number of accumulated messages.
		receive_message_count_gid	The number of messages received per minute by a consumer group.
		send_message_count_gid	The number of messages sent per minute by a producer group.
		consumer_lag_topic	The number of accumulated messages of a topic or group.
		receive_message_count_topic	The number of messages of a topic received per minute by a consumer group.
		send_message_count_topic	The number of messages of a topic sent per minute by a producer group.
		receive_message_count	The number of messages received per minute.
		send_message_count	The number of messages sent per minute.
SLB	Custom metric	healthy_server_count	The number of healthy backend ECS instances.
		unhealthy_server_count	The number of unhealthy backend ECS instances.
		packet_tx	The number of inbound packets per second.
		packet_rx	The number of outbound packets per second.
		traffic_rx_new	The inbound bandwidth.
		traffic_tx_new	The outbound bandwidth.
		active_connection	The number of active connections over TCP.
		inactive_connection	The number of inactive connections on a port.
		new_connection	The number of new connections over TCP.
		max_connection	The number of concurrent connections on a port.
		instance_active_connection	The number of active connections established to an instance.
		instance_new_connection	The number of new connections established to an instance per second.
		instance_max_connection	The maximum number of concurrent connections established to an instance per second.
		instance_drop_connection	The number of connections that are dropped per second on an instance.
		instance_traffic_rx	The inbound traffic per second of an instance. Unit: bit.
		instance_traffic_tx	The outbound traffic per second of an instance. Unit: bit.
E-MapReduce (EMR)	Custom metric	active_applications	The number of active jobs.
		active_users	The number of active users.
		aggregate_containers_allocated	The total number of allocated containers.
		aggregate_containers_released	The total number of released containers.
		allocated_containers	The number of allocated containers.
		apps_completed	The number of completed jobs.
		apps_failed	The number of failed jobs.
		apps_killed	The number of terminated jobs.
		apps_pending	The number of pending jobs.
		apps_running	The number of jobs that are running.
		apps_submitted	The number of submitted jobs.
		available_mb	The amount of memory available to the current queue.
		available_vcores	The number of vCores available to the current queue.
		pending_containers	The number of pending containers.
		reserved_containers	The number of reserved containers.
EIP	Custom metric	net_rx_rate	The inbound bandwidth.
		net_tx_rate	The outbound bandwidth.
		net_rx_pkgs_rate	The rate of inbound packets.
		net_tx_pkgs_rate	The rate of outbound packets.
		out_ratelimit_drop_speed	The rate at which packets are dropped due to throttling.
OSS	Custom metric	availability	The availability.
		request_valid_rate	The ratio of valid requests.
		success_rate	The ratio of successful requests.
		network_error_rate	The ratio of failed requests due to network issues.
		total_request_count	The total number of requests.
		valid_count	The number of valid requests.
		internet_send	The outbound traffic over the Internet.
		internet_recv	The inbound traffic over the Internet.
		intranet_send	The outbound traffic over the internal network.
		intranet_recv	The inbound traffic over the internal network.
		success_count	The total number of successful requests.
		network_error_count	The total number of failed requests due to network issues.
		client_timeout_count	The total number of failed requests due to client timeouts.
Elasticsearch	Custom metric	node_cpu_utilization	The CPU utilization of a node.
		node_heap_memory_utilization	The heap memory usage of a node.
		node_stats_exception_log_count	The number of exceptions.
		node_stats_full_gc_collection_count	The number of full heap garbage collections (full GCs).
		node_disk_utilization	The disk usage of a node.
		node_load_1m	The average load of a node over the last 1 minute.
		cluster_query_qps	The queries per second (QPS) of a cluster.
		cluster_index_qps	ClusterIndexQPS
Logstash	Custom metric	cpu_percent	The CPU utilization of a node.
		node_heap_memory	The memory usage of a node.
		node_disk_usage	The disk usage of a node.
DRDS	Custom metric	cpu_utilization	The CPU utilization.
		connection_count	The number of connections.
		logic_qps	The logical QPS.
		logic_rt	The logical response time (RT).
		memory_utilization	The memory usage.
		network_input_traffic	The inbound bandwidth.
		network_output_traffic	The outbound bandwidth.
		physics_qps	The physical QPS.
		physics_rt	The physical RT.
		thread_count	The number of active threads.
		com_insert_select	The number of INSERT and SELECT statements that are executed per second on a private ApsaraDB RDS for MySQL instance.
		com_replace	The number of REPLACE statements that are executed per second on a private ApsaraDB RDS for MySQL instance.
		com_replace_select	The number of REPLACE and SELECT statements that are executed per second on a private ApsaraDB RDS for MySQL instance.
		com_select	The number of SELECT statements that are executed per second on a private ApsaraDB RDS for MySQL instance.
		com_update	The number of UPDATE statements that are executed per second on a private ApsaraDB RDS for MySQL instance.
		conn_usage	The connection usage of a private ApsaraDB RDS for MySQL instance.
		cpu_usage	The CPU utilization of a private ApsaraDB RDS for MySQL instance.
		disk_usage	The disk usage of a private ApsaraDB RDS for MySQL instance.
		ibuf_dirty_ratio	The dirty page ratio of the buffer pool of a private ApsaraDB RDS for MySQL instance.
		ibuf_pool_reads	The number of physical reads per second on a private ApsaraDB RDS for MySQL instance.
		ibuf_read_hit	The read hit ratio of the buffer pool of a private ApsaraDB RDS for MySQL instance.
		ibuf_request_r	The number of logical reads per second on a private ApsaraDB RDS for MySQL instance.
		ibuf_request_w	The number of logical writes per second on a private ApsaraDB RDS for MySQL instance.
		ibuf_use_ratio	The utilization of the buffer pool of a private ApsaraDB RDS for MySQL instance.
		inno_data_read	The amount of data read per second on a private ApsaraDB RDS for MySQL instance that uses InnoDB.
		inno_data_written	The amount of data written per second to a private ApsaraDB RDS for MySQL instance that uses InnoDB.
		inno_row_delete	The number of rows deleted per second from a private ApsaraDB RDS for MySQL instance that uses InnoDB.
		inno_row_insert	The number of rows inserted per second to a private ApsaraDB RDS for MySQL instance that uses InnoDB.
		inno_row_readed	The number of rows read per second on a private ApsaraDB RDS for MySQL instance that uses InnoDB.
		inno_row_update	The number of rows updated per second on a private ApsaraDB RDS for MySQL instance that uses InnoDB.
		innodb_log_write_requests	The number of write requests per second to the logs of a private ApsaraDB RDS for MySQL instance that uses InnoDB.
		innodb_log_writes	The number of logical writes per second to the logs of a private ApsaraDB RDS for MySQL instance that uses InnoDB.
		innodb_os_log_fsyncs	The number of times fsync is called per second to write data to the logs of a private ApsaraDB RDS for MySQL instance that uses InnoDB.
		input_traffic_ps	The inbound bandwidth of a private ApsaraDB RDS for MySQL instance.
		iops_usage	The IOPS usage of a private ApsaraDB RDS for MySQL instance.
		mem_usage	The memory usage of a private ApsaraDB RDS for MySQL instance.
		output_traffic_ps	The outbound bandwidth of a private ApsaraDB RDS for MySQL instance.
		qps	The QPS of a private ApsaraDB RDS for MySQL instance.
		slave_lag	The latency of a private read-only ApsaraDB RDS for MySQL instance.
		slow_queries	The slow queries per second of a private ApsaraDB RDS for MySQL instance.
		tb_tmp_disk	The number of temporary tables created per second on a private ApsaraDB RDS for MySQL instance.
Kafka	Custom metric	instance_disk_capacity	The disk usage of an instance.
		instance_message_input	The number of messages produced on an instance.
		instance_message_output	The number of messages consumed on an instance.
		topic_message_input	The number of messages produced in a topic.
		topic_message_output	The number of messages consumed in a topic.
MongoDB	Custom metric	cpu_utilization	The CPU utilization.
		memory_utilization	The memory usage.
		disk_utilization	The disk usage.
		iops_utilization	The IOPS usage.
		qps	The QPS.
		connect_amount	The number of used connections.
		instance_disk_amount	The disk space occupied by an instance.
		data_disk_amount	The disk space occupied by data.
		log_disk_amount	The disk space occupied by logs.
		intranet_in	The inbound traffic over the internal network.
		intranet_out	The outbound traffic over the internal network.
		number_requests	The number of requests.
		op_insert	The number of insert operations.
		op_query	The number of query operations.
		op_update	The number of update operations.
		op_delete	The number of delete operations.
		op_getmore	The number of getMore operations.
		op_command	The number of operations performed by running commands.
PolarDB	Custom metric	active_connections	The number of active connections.
		blks_read_delta	The number of reads to a data block.
		cluster_active_sessions	The number of active connections.
		cluster_connection_utilization	The connection usage.
		cluster_cpu_utilization	The CPU utilization.
		cluster_data_io	The I/O throughput per second of a storage engine.
		cluster_data_iops	The IOPS of a storage engine.
		cluster_mem_hit_ratio	The cache hit ratio.
		cluster_memory_utilization	The memory usage.
		cluster_qps	The QPS.
		cluster_slow_queries_ps	The number of slow queries per second.
		cluster_tps	The number of transactions per second.
		conn_usage	The connection usage.
		cpu_total	The CPU utilization.
		db_age	The maximum database age.
		instance_connection_utilization	The connection usage of an instance.
		instance_cpu_utilization	The CPU utilization of an instance.
		instance_input_bandwidth	The inbound bandwidth of an instance.
		instance_memory_utilization	The memory usage of an instance.
		instance_output_bandwidth	The outbound bandwidth of an instance.
		mem_usage	The memory usage.
		pls_data_size	The disk data size of a PolarDB for PostgreSQL cluster.
		pls_iops	pg IOPS
		pls_iops_read	The read IOPS of a PolarDB for PostgreSQL cluster.
		pls_iops_write	The write IOPS of a PolarDB for PostgreSQL cluster.
		pls_pg_wal_dir_size	The size of write-ahead logging (WAL) logs of a PolarDB for PostgreSQL cluster.
		pls_throughput	The I/O throughput of a PolarDB for PostgreSQL cluster.
		pls_throughput_read	The read I/O throughput of a PolarDB for PostgreSQL cluster.
		pls_throughput_write	The write I/O throughput of a PolarDB for PostgreSQL cluster.
		swell_time	The point in time at which data bloat occurs in a PolarDB for PostgreSQL cluster.
		tps	pg TPS
		cluster_iops	The IOPS.
Redis	Custom metric	intranet_in_ratio	The bandwidth utilization of writes.
		intranet_out_ratio	The bandwidth utilization of reads.
		failed_count	The number of failed operations.
		cpu_usage	The CPU utilization.
		used_memory	The memory usage.
		used_connection	The number of used connections.
		used_qps	The number of used QPS.

Cloud service monitoring

The following table describes the metrics of cloud service monitoring that are supported by Managed Service for Prometheus.

ApsaraMQ for RocketMQ

Category	Metric type	Metric name	Description
Producer	Custom metric	rocketmq_producer_requests	The number of API calls that are made to send messages.
		rocketmq_producer_messages	The number of sent messages.
		rocketmq_producer_message_size_bytes	The total size of sent messages.
		rocketmq_producer_send_success_rate	The success rate of message sending.
		rocketmq_producer_failure_api_calls	The number of failed API calls that are made to send messages.
		rocketmq_producer_send_rt_milliseconds_avg	The average time required to send messages.
		rocketmq_producer_send_rt_milliseconds_min	The minimum time required to send messages.
		rocketmq_producer_send_rt_milliseconds_max	The maximum time required to send messages.
		rocketmq_producer_send_rt_milliseconds_p95	The 95th percentile of the time required to send messages.
		rocketmq_producer_send_rt_milliseconds_p99	The 99th percentile of the time required to send messages.
Consumer	Custom metric	rocketmq_consumer_requests	The number of API calls that are made to consume messages.
		rocketmq_consumer_send_back_requests	The number of API calls that are made to return messages after consumers fail to consume messages.
		rocketmq_consumer_send_back_messages	The messages returned from consumers after consumers fail to consume messages.
		rocketmq_consumer_messages	The number of consumed messages.
		rocketmq_consumer_message_size_bytes	The total size of messages consumed within 1 minute.
		rocketmq_consumer_ready_and_inflight_messages	The number of lagging messages, including ready messages and inflight messages.
		rocketmq_consumer_ready_messages	The number of ready messages.
		rocketmq_consumer_inflight_messages	The number of inflight messages.
		rocketmq_consumer_queue_time_milliseconds	The queuing duration of messages.
		rocketmq_consumer_message_await_time_milliseconds_avg	The average time required for consumer clients to allocate resources to process messages.
		rocketmq_consumer_message_await_time_milliseconds_min	The minimum time required for consumer clients to allocate resources to process messages.
		rocketmq_consumer_message_await_time_milliseconds_max	The maximum time required for consumer clients to allocate resources to process messages.
		rocketmq_consumer_message_await_time_milliseconds_p95	The 95th percentile of the time required for consumer clients to allocate resources to process messages.
		rocketmq_consumer_message_await_time_milliseconds_p99	The 99th percentile of the time required for consumer clients to allocate resources to process messages.
		rocketmq_consumer_message_process_time_milliseconds_avg	The average time required for consumers to process messages.
		rocketmq_consumer_message_process_time_milliseconds_min	The minimum time required for consumers to process messages.
		rocketmq_consumer_message_process_time_milliseconds_max	The maximum time required for consumers to process messages.
		rocketmq_consumer_message_process_time_milliseconds_p95	The 95th percentile of the time required for consumers to process messages.
		rocketmq_consumer_message_process_time_milliseconds_p99	The 99th percentile of the time required for consumers to process messages.
		rocketmq_consumer_consume_success_rate	The success rate of message consumption.
		rocketmq_consumer_failure_api_calls	The number of failed API calls that are made to consume messages.
		rocketmq_consumer_to_dlq_messages	The number of dead-letter messages.
Overview	Custom metric	rabbitmq_instance_api_total	The number of instance-level API calls that are initiated within seconds.
		rabbitmq_connections_opened_total	The total number of opened connections.
		rabbitmq_connections_closed_total	The total number of closed connections.
		rabbitmq_channels_opened_total	The total number of opened channels.
		rabbitmq_channels_closed_total	The total number of closed channels.
		rabbitmq_queues_declared_total	The total number of declared queues.
		rabbitmq_queues_deleted_total	The total number of deleted queues.
		rabbitmq_exchange_declared_total	-
		rabbitmq_exchange_deleted_total	-
		rabbitmq_exchange_bind_total	-
		rabbitmq_exchange_unbind_total	-
		rabbitmq_queue_bind_total	-
		rabbitmq_queue_unbind_total	-
		rabbitmq_connections	The number of connections that are being opened.
		rabbitmq_channels	The number of channels that are being opened.
Connections	Custom metric	rabbitmq_connection_channels	The number of channels on connections.
Exchange	Custom metric	rabbitmq_exchange_messages_published_in_total	The number of inbound messages.
Exchange	Custom metric	rabbitmq_exchange_messages_published_out_total	The number of outbound messages.
Queues	Custom metric	rabbitmq_queue_messages_published_total	The total number of messages published to queues.
		rabbitmq_queue_messages_ready	The number of messages that are ready to be delivered to consumers.
		rabbitmq_queue_messages_unacked	The number of messages that are being scheduled.
		rabbitmq_queue_deliver_total	The total number of messages that have been delivered to consumers but not yet consumed.
		rabbitmq_queue_get_total	-
		rabbitmq_queue_ack_total	-
		rabbitmq_queue_uack_total	-
		rabbitmq_queue_recover_total	-
		rabbitmq_queue_reject_total	-
		rabbitmq_queue_consumers	The number of consumers in queues.

MongoDB

Metric type	Metric name	Description
Custom metric	avg_rt	The average response time of an instance.
	bytes_in	The inbound traffic of an instance.
	bytes_out	The outbound traffic of an instance.
	bytes_read_into_cache	The amount of data read from the WiredTiger cache.
	bytes_written_from_cache	The amount of data written into the WiredTiger cache.
	command	The QPS of protocol command operations.
	conn_usage	The connection usage of an instance. The value is generated by dividing the number of current connections by the maximum number of connections.
	connections_active	The number of active connections of an instance.
	cpu_usage	The CPU utilization of an instance.
	current_conn	The total number of current connections of an instance.
	data_iops	The IOPS usage of the data disk.
	data_size	The used data disk space of an instance.
	delete	The QPS of delete operations.
	disk_usage	The disk usage of an instance. The value is generated by dividing the used space by the maximum space.
	document_deleted_ps	The number of documents deleted from an instance.
	document_inserted_ps	The number of documents inserted into an instance.
	document_returned_ps	The number of documents returned by an instance.
	document_updated_ps	The number of documents updated by an instance.
	getmore	The QPS of read operations.
	gl_ac_readers	The number of global read locks currently used by an instance.
	gl_ac_writers	The number of global write locks currently used by an instance.
	gl_cq_readers	The length of the queue waiting for the global read locks.
	gl_cq_total	The length of the queue waiting for the global locks.
	gl_cq_writers	The length of the queue waiting for global write locks.
	ins_size	The used disk space of an instance.
	insert	The QPS of insert operations.
	iocheck_cost	The I/O latency. The value indicates the I/O performance.
	iops_usage	The IOPS usage.
	job_cursors_closed	The number of cursors that are closed with closed sessions.
	log_iops	The IOPS usage of the log disk.
	log_size	The used log disk space of an instance.
	maximum_bytes_configured	The maximum size of the WiredTiger disk.
	mem_usage	The memory usage.
	moveChunk_donor_started_ps	The number of times that the current node is used as the moveChunk source shard.
	moveChunk_recip_stared_ps	The number of times that the current node is used as the moveChunk destination shard.
	noTimeout_open	The number of opened cursors without a timeout period.
	operation_exactIDCount_ps	The number of requests that need to be broadcasted to obtain information about the matched IDs.
	operation_scanAndOrder_ps	The number of requests for which indexes cannot be used for sorting.
	operation_writeConflicts_ps	The number of write conflicts.
	pinned_open	The number of opened cursors with a timeout period.
	query	The QPS of query operations.
	queryExecutor_scannedObject_ps	The number of queried documents.
	queryExecutor_scanned_ps	The number of queried indexes.
	read_concurrent_trans_available	The number of concurrent read requests available in a WiredTiger request queue.
	read_concurrent_trans_out	The number of concurrent read requests sent from a WiredTiger request queue.
	repl_lag	The data synchronization latency of the primary and secondary nodes of an instance.
	timed_out	The number of cursors that are closed due to timeout.
	total_open	The number of cursors that are being opened.
	ttl_deletedDocuments_ps	The number of documents that are deleted due to time-to-live (TTL) indexes.
	ttl_passes_ps	The number of delete operations that the background TTL threads perform.
	update	The QPS of update operations.
	write_concurrent_trans_available	The number of concurrent write requests available in a WiredTiger request queue.
	write_concurrent_trans_out	The number of concurrent write requests sent from a WiredTiger request queue.
	wt_cache_dirty_usage	The dirty cache usage of the WiredTiger storage engine of an instance.
	wt_cache_usage	The dirty cache usage of the WiredTiger storage engine of an instance.

Flink

Flink metrics

Metric name	Definition	Description	Unit	Metric type
`flink_jobmanager_job_numRestarts`	The number of times that a job is restarted when a job failover occurs.	This metric indicates the number of times that a job is restarted when a job failover occurs. The number of times that the job is restarted when a JobManager failover occurs is not included.	Count	Custom metric
`flink_taskmanager_job_task_operator_currentEmitEventTimeLag`	The processing latency.	If the value of this metric is large, data latency may occur in the job when the system pulls or processes data.	Milliseconds	Custom metric
`flink_taskmanager_job_task_operator_currentFetchEventTimeLag`	The transmission latency.	If the value of this metric is large, data latency may occur in the job when the system pulls data.	Milliseconds	Custom metric
`flink_taskmanager_job_task_numRecordsIn`	The total number of input data records of all operators.	If the value of this metric does not increase for an extended period of time for an operator, data may be missing from the source. Therefore, data fails to be transmitted. In this case, you must check the data of the source.	Count	Custom metric
`flink_taskmanager_job_task_numRecordsOut`	The total number of output data records.	If the value of this metric does not increase for an extended period of time for an operator, an error may occur in the code logic of the job and data is missing. Therefore, data fails to be transmitted. In this case, you must check the code logic of the job.	Count	Custom metric
`flink_taskmanager_job_task_operator_numBytesIn`	The total number of input bytes.	This metric measures the size of the input data records of the source. This helps observe the job throughput.	Byte	Custom metric
`flink_taskmanager_job_task_operator_numBytesOut`	The total number of output bytes.	This metric measures the size of the output data records of the source. This helps observe the job throughput.	Byte	Custom metric
`flink_taskmanager_job_task_operator_numRecordsIn`	The total number of input data records of all operators.	If the value of this metric does not increase for an extended period of time for an operator, data may be missing from the source. Therefore, data fails to be transmitted. In this case, you must check the data of the source.	Count	Custom metric
`flink_taskmanager_job_task_operator_numRecordsInPerSecond`	The number of input data records per second for all data streams.	This metric measures the overall processing speed of data streams. For example, the value of this metric helps determine whether the overall processing speed of data streams meets the expected requirements and how the job performance changes under different input data loads.	Count/s	Custom metric
`flink_taskmanager_job_task_operator_numRecordsOut`	The total number of output data records.	If the value of this metric does not increase for an extended period of time for an operator, an error may occur in the code logic of the job and data is missing. Therefore, data fails to be transmitted. In this case, you must check the code logic of the job.	Count	Custom metric
`flink_taskmanager_job_task_operator_numRecordsOutPerSecond`	The number of output data records per second for all data streams.	This metric measures the overall output speed of data streams. The speed indicates the number of output data records per second for all data streams. For example, the value of this metric helps determine whether the overall output speed of data streams meets the expected requirements and how the job performance changes under different output data loads.	Count/s	Custom metric
`flink_taskmanager_job_task_operator_source_numRecordsIn`	The total number of data records that flow into the source operator.	This metric measures the number of data records that flow into the source.	Count	Custom metric
`flink_taskmanager_job_task_operator_sink_numRecordsOut`	The total number of output data records in a sink.	This metric measures the number of data records that are exported by the source.	Count	Custom metric
`flink_taskmanager_job_task_numRecordsInPerSecond`	The number of input data records per second for all data streams.	This metric measures the overall processing speed of data streams. For example, the value of this metric helps determine whether the overall processing speed of data streams meets the expected requirements and how the job performance changes under different input data loads.	Count/s	Custom metric
`flink_taskmanager_job_task_numRecordsOutPerSecond`	The number of output data records per second for all data streams.	This metric measures the overall output speed of data streams. The speed indicates the number of output data records per second for all data streams. For example, the value of this metric helps determine whether the overall output speed of data streams meets the expected requirements and how the job performance changes under different output data loads.	Count/s	Custom metric
`flink_taskmanager_job_task_operator_source_numRecordsInPerSecond`	The number of input data records per second in a source.	This metric measures the speed at which data records are generated in a source. The speed indicates the number of input data records per second in the source. For example, the number of data records that can be generated varies based on the type of each source in a data stream. The value of this metric helps determine the speed at which data records are generated in a source and adjust data streams to improve performance. This metric is also used for monitoring and alerting. If the value of this metric is 0, data may be missing from the source. In this case, you must check whether data output is blocked because the data of the source is not consumed.	Count/s	Custom metric
`flink_taskmanager_job_task_operator_sink_numRecordsOutPerSecond`	The number of output data records per second in a sink.	This metric measures the speed at which data records are exported from a sink. The speed indicates the number of output data records per second in the sink. For example, the number of data records that can be exported varies based on the type of each sink in a data stream. The value of the numRecordsOutOfSinkPerSecond metric helps determine the speed at which data records are exported from a sink and adjust data streams to improve performance. This metric is also used for monitoring and alerting. If the value of this metric is 0, the code logic of the job may be invalid and all data is filtered out. In this case, you must check the code logic of the job.	Count/s	Custom metric
`flink_taskmanager_job_task_numBuffersInLocalPerSecond`	The number of locally consumed data buffers per second.	If the value of this metric is large, inter-task communication is frequent on the local node .	Count/s	Custom metric
`flink_taskmanager_job_task_numBuffersInRemotePerSecond`	The number of buffers received from the remote TaskManager per second.	This metric indicates the frequency of inter-TaskManager communication.	Count/s	Custom metric
`flink_taskmanager_job_task_numBuffersOutPerSecond`	The number of buffers sent to other tasks per second.	This metric helps understand the output pressure of tasks and the usage of network bandwidth.	Count/s	Custom metric
`flink_taskmanager_job_task_numBytesInLocalPerSecond`	The total number of input bytes per second.	This metric measures the rate at which data flows into the source. This helps observe the job throughput.	Byte/s	Custom metric
`flink_taskmanager_job_task_operator_numBytesOutPerSecond`	The total number of output bytes per second.	This metric measures the rate at which data is exported by the source. This helps observe the job throughput.	Byte/s	Custom metric
`flink_taskmanager_job_task_operator_pendingRecords`	The number of data records that are not read by the source.	This metric measures the number of data records that are not pulled by the source from the external system.	Count	Custom metric
`flink_taskmanager_job_task_operator_sourceIdleTime`	The duration for which data is not processed in the source.	This metric specifies whether the source is idle. If the value of this metric is large, your data is generated at a low speed in the external system.	Milliseconds	Custom metric
`flink_taskmanager_job_task_operator_numBytesInPerSecond`	The total number of input bytes per second.	None.	Byte/s	Custom metric
`flink_taskmanager_job_task_numBytesOutPerSecond`	The total number of output bytes per second.	None.	Byte/s	Custom metric
`flink_taskmanager_job_task_operator_currentSendTime`	The time consumed to send the latest record.	None.	Milliseconds	Custom metric
`flink_jobmanager_job_totalNumberOfCheckpoints`	The total number of checkpoints.	None.	Count	Custom metric
`flink_jobmanager_job_numberOfFailedCheckpoints`	The number of failed checkpoints.	None.	Count	Custom metric
`flink_jobmanager_job_numberOfCompletedCheckpoints`	The number of completed checkpoints.	None.	Count	Custom metric
`flink_jobmanager_job_numberOfInProgressCheckpoints`	The number of checkpoints that are in progress.	None.	Count	Custom metric
`flink_jobmanager_job_lastCheckpointDuration`	The duration for which the last checkpoint is used.	If the checkpoint takes an extended period of time or times out, the possible cause is that the storage space occupied by state data is excessively large, a temporary network error occurs, barriers are not aligned, or data backpressure exists.	Milliseconds	Custom metric
`flink_jobmanager_job_lastCheckpointSize`	The size of the last checkpoint.	This metric measures the size of the last checkpoint that is uploaded. This metric helps analyze the checkpoint performance when a bottleneck occurs.	Byte	Custom metric
`flink_taskmanager_job_task_operator_state_name_stateClearLatency`	The maximum latency of a Clear operation on state data.	This metric measures the performance of a Clear operation on state data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_valueStateGetLatency`	The maximum latency of a Get operation on ValueState data.	This metric measures the performance of accessing ValueState data by an operator.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_valueStateUpdateLatency`	The maximum latency of an Update operation on ValueState data.	This metric measures the performance of an Update operation on ValueState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_aggregatingStateGetLatency`	The maximum latency of a Get operation on AggregatingState data.	This metric measures the performance of accessing AggregatingState data by an operator.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_aggregatingStateAddLatency`	The maximum latency of an Add operation on AggregatingState data.	This metric measures the performance of an Add operation on AggregatingState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_aggregatingStateMergeNamespacesLatency`	The maximum latency of a Merge Namespace operation on AggregatingState data.	This metric measures the performance of a Merge Namespace operation on AggregatingState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_reducingStateGetLatency`	The maximum latency of a Get operation on ReducingState data.	This metric measures the performance of accessing ReducingState data by an operator.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_reducingStateAddLatency`	The maximum latency of an Add operation on ReducingState data.	This metric measures the performance of an Add operation on ReducingState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_reducingStateMergeNamespacesLatency`	The maximum latency of a Merge Namespace operation on ReducingState data.	This metric measures the performance of a Merge Namespace operation on ReducingState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStateGetLatency`	The maximum latency of a Get operation on MapState data.	This metric measures the performance of accessing MapState data by an operator.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStatePutLatency`	The maximum latency of a Put operation on MapState data.	This metric measures the performance of a Put operation on MapState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStatePutAllLatency`	The maximum latency of a PutAll operation on MapState data.	This metric measures the performance of a PutAll operation on MapState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStateRemoveLatency`	The maximum latency of a Remove operation on MapState data.	This metric measures the performance of a Remove operation on MapState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStateContainsLatency`	The maximum latency of a Contains operation on MapState data.	This metric measures the performance of a Contains operation on MapState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStateEntriesInitLatency`	The maximum latency of an Init operation on MapState entries.	This metric measures the performance of an Init operation on MapState entries.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStateKeysInitLatency`	The maximum latency of an Init operation on MapState keys.	This metric measures the performance of an Init operation on MapState keys.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStateValuesInitLatency`	The maximum latency of an Init operation on MapState values.	This metric measures the performance of an Init operation on MapState values.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStateIteratorInitLatency`	The maximum latency of an Init operation on MapState Iterator.	This metric measures the performance of an Init operation on MapState Iterator.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStateIsEmptyLatency`	The maximum latency of an Empty operation on MapState data.	This metric measures the performance of an Empty operation on MapState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStateIteratorHasNextLatency`	The maximum latency of a HasNext operation on MapState Iterator.	This metric measures the performance of a HasNext operation on MapState Iterator.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStateIteratorNextLatency`	The maximum latency of a Next operation on MapState Iterator.	This metric measures the performance of a Next operation on MapState Iterator.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_mapStateIteratorRemoveLatency`	The maximum latency of a Remove operation on MapState Iterator.	This metric measures the performance of a Remove operation on MapState Iterator.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_listStateGetLatency`	The maximum latency of a Get operation on ListState data.	This metric measures the performance of accessing ListState data by an operator.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_listStateAddLatency`	The maximum latency of an Add operation on ListState data.	This metric measures the performance of an Add operation on ListState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_listStateAddAllLatency`	The maximum latency of an AddAll operation on ListState data.	This metric measures the performance of an AddAll operation on ListState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_listStateUpdateLatency`	The maximum latency of an Update operation on ListState data.	This metric measures the performance of an Update operation on ListState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_listStateMergeNamespacesLatency`	The maximum latency of a Merge Namespace operation on ListState data.	This metric measures the performance of a Merge Namespace operation on ListState data.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_sortedMapStateFirstEntryLatency`	The maximum latency of accessing the first entry of SortedMapState data.	This metric measures the performance of accessing SortedMapState data by an operator.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_state_name_sortedMapStateLastEntryLatency`	The maximum latency of accessing the last entry of SortedMapState data.	This metric measures the performance of accessing SortedMapState data by an operator.	Nanoseconds	Custom metric
`flink_taskmanager_job_task_operator_geminiDB_total_size`	The size of the state data.	This metric helps you perform the following operations: Directly identify nodes or identify nodes in advance in which state data bottlenecks may occur. Check whether the TTL of state data takes effect.	Byte	Custom metric
`flink_taskmanager_job_task_operator_geminiDB_total_filesize`	The size of the state data file.	This metric helps you perform the following operations: Check the size of the state data file in the local disk. You can take actions in advance if the size is large. Determine whether the state data is excessively large if the local disk space is insufficient.	Byte	Custom metric
`flink_taskmanager_job_task_currentInputWatermark`	The time when each task receives the latest watermark.	This metric measures the latency of data receiving by the TaskManager.	N/A	Custom metric
`flink_taskmanager_job_task_operator_watermarkLag`	The latency of watermarks.	This metric measures the latency of subtasks.	Milliseconds	Custom metric
`flink_jobmanager_Status_JVM_CPU_Load`	The CPU load of the JobManager.	If the value of this metric is greater than 100% for an extended period of time, the CPU is busy and the CPU load is high. This may affect the system performance. As a result, issues such as system stuttering and slow response occur.	N/A	Basic metric
`flink_jobmanager_Status_JVM_Memory_Heap_Used`	The amount of heap memory of the JobManager.	None.	Byte	Basic metric
`flink_jobmanager_Status_JVM_Memory_Heap_Committed`	The amount of heap memory committed by the JobManager.	None.	Byte	Basic metric
`flink_jobmanager_Status_JVM_Memory_Heap_Max`	The maximum amount of heap memory of the JobManager.	None.	Byte	Basic metric
`flink_jobmanager_Status_JVM_Memory_NonHeap_Used`	The amount of non-heap memory of the JobManager.	None.	Byte	Basic metric
`flink_jobmanager_Status_JVM_Memory_NonHeap_Committed`	The amount of non-heap memory committed by the JobManager.	None.	Byte	Basic metric
`flink_jobmanager_Status_JVM_Memory_NonHeap_Max`	The maximum amount of non-heap memory of the JobManager.	None.	Byte	Basic metric
`flink_jobmanager_Status_JVM_Threads_Count`	The number of threads of the JobManager.	A large number of threads of the JobManager occupies excessive memory space. This reduces the job stability.	Count	Basic metric
`flink_jobmanager_Status_JVM_GarbageCollector_ParNew_Count`	The number of GCs performed within the JobManager.	Frequent GCs can lead to excessive memory consumption and negatively affect job performance. This metric helps diagnose job issues and identify the causes of job failures.	Count	Basic metric
`flink_jobmanager_Status_JVM_GarbageCollector_G1_Young_Generation_Count`	The number of young-generation GCs performed by the G1 garbage collector of the JobManager.	None.	Count	Custom metric
`flink_jobmanager_Status_JVM_GarbageCollector_G1_Old_Generation_Count`	The number of old-generation GCs performed by the G1 garbage collector of the JobManager.	None.	Count	Custom metric
`flink_jobmanager_Status_JVM_GarbageCollector_G1_Young_Generation_Time`	The time consumed by the G1 garbage collector of the JobManager to perform a young-generation GC.	None.	Milliseconds	Custom metric
`flink_jobmanager_Status_JVM_GarbageCollector_G1_Old_Generation_Time`	The time consumed by the G1 garbage collector of the JobManager to perform a old-generation GC.	None.	Milliseconds	Custom metric
`flink_jobmanager_Status_JVM_GarbageCollector_ConcurrentMarkSweep_Count`	The number of GCs performed by the Concurrent Mark Sweep (CMS) garbage collector of the JobManager.	None.	Count	Basic metric
`flink_jobmanager_Status_JVM_GarbageCollector_ParNew_Time`	The duration for which each GC of the JobManager lasts.	If GC of the JobManager lasts for an extended period of time, excessive memory space is occupied. This affects the job performance. This metric helps diagnose job issues and identify the causes of job failures.	Milliseconds	Basic metric
`flink_jobmanager_Status_JVM_GarbageCollector_ConcurrentMarkSweep_Time`	The time consumed by the CMS garbage collector of the JobManager to perform a GC.	None.	Milliseconds	Basic metric
`flink_jobmanager_Status_JVM_ClassLoader_ClassesLoaded`	The total number of classes that are loaded after the Java Virtual Machine (JVM) in which the JobManager resides is created.	If the total number of classes that are loaded is excessively large after the JVM in which the JobManager resides is created, excessive memory space is occupied. This affects the job performance.	N/A	Basic metric
`flink_jobmanager_Status_JVM_ClassLoader_ClassesUnloaded`	The total number of classes that are unloaded after the JVM in which the JobManager resides is created.	If the total number of classes that are unloaded is excessively large after the JVM in which the JobManager resides is created, excessive memory space is occupied. This affects the job performance.	N/A	Basic metric
`flink_taskmanager_Status_JVM_CPU_Load`	The CPU load of the TaskManager.	This metric indicates the total number of processes in which the CPU is calculating data and processes in which data waits to be calculated by the CPU. In most cases, this metric indicates how busy the CPU is. The value of this metric is related to the number of CPU cores that are used. The CPU load in Flink is calculated by using the following formula: CPU load = CPU utilization/Number of CPU cores. If the value of the `flink_taskmanager_Status_JVM_CPU_Load` metric is greater than the CPU load in Flink, CPU processing may be blocked.	N/A	Basic metric
`flink_jobmanager_Status_ProcessTree_CPU_Usage`	The CPU utilization of the JobManager.	This metric indicates the utilization of CPU time slices that are occupied by Flink. If the value of this metric is 100%, one CPU core is used. If the value of this metric is 400%, four CPU cores are used. If the value of this metric is greater than 100% for an extended period of time, the CPU is busy. If the CPU load is high but the CPU utilization is low, a large number of processes that are in the uninterruptible sleep state may be running due to frequent read and write operations.	N/A	Basic metric
`flink_taskmanager_Status_ProcessTree_CPU_Usage`	The CPU utilization of the TaskManager.	This metric indicates the utilization of CPU time slices that are occupied by Flink. If the value of this metric is 100%, one CPU core is used. If the value of this metric is 400%, four CPU cores are used. If the value of this metric is greater than 100% for an extended period of time, the CPU is busy. If the CPU load is high but the CPU utilization is low, a large number of processes that are in the uninterruptible sleep state may be running due to frequent read and write operations.	N/A	Basic metric
`flink_taskmanager_Status_JVM_Memory_Heap_Used`	The amount of heap memory of the TaskManager.	None.	Byte	Basic metric
`flink_taskmanager_Status_JVM_Memory_Heap_Committed`	The amount of heap memory committed by the TaskManager.	None.	Byte	Basic metric
`flink_taskmanager_Status_JVM_Memory_Heap_Max`	The maximum amount of heap memory of the TaskManager.	None.	Byte	Basic metric
`flink_taskmanager_Status_JVM_Memory_NonHeap_Used`	The amount of non-heap memory of the TaskManager.	None.	Byte	Basic metric
`flink_taskmanager_Status_JVM_Memory_NonHeap_Committed`	The amount of non-heap memory committed by the TaskManager.	None.	Byte	Basic metric
`flink_taskmanager_Status_JVM_Memory_NonHeap_Max`	The maximum amount of non-heap memory of the TaskManager.	None.	Byte	Basic metric
`flink_taskmanager_Status_ProcessTree_Memory_RSS`	The amount of memory consumed by the entire process on Linux.	This metric tracks changes in memory consumption of the process.	Byte	Basic metric
`flink_taskmanager_Status_JVM_Threads_Count`	The number of threads of the TaskManager.	A large number of threads of the TaskManager occupies excessive memory space. This reduces the job stability.	Count	Basic metric
`flink_taskmanager_Status_JVM_GarbageCollector_ParNew_Count`	The number of GCs performed within the TaskManager.	Frequent GCs can lead to excessive memory consumption and negatively affect job performance. This metric helps diagnose job issues and identify the causes of job failures.	Count	Basic metric
`flink_taskmanager_Status_JVM_GarbageCollector_G1_Young_Generation_Count`	The number of young-generation GCs performed by the G1 garbage collector of the TaskManager.	None.	Count	Custom metric
`flink_taskmanager_Status_JVM_GarbageCollector_G1_Old_Generation_Count`	The number of old-generation GCs performed by the G1 garbage collector of the TaskManager.	None.	Count	Custom metric
`flink_taskmanager_Status_JVM_GarbageCollector_G1_Young_Generation_Time`	The time consumed by the G1 garbage collector of the TaskManager to perform a young-generation GC.	None.	Milliseconds	Custom metric
`flink_taskmanager_Status_JVM_GarbageCollector_G1_Old_Generation_Time`	The time consumed by the G1 garbage collector of the TaskManager to perform a old-generation GC.	None.	Milliseconds	Custom metric
`flink_taskmanager_Status_JVM_GarbageCollector_ConcurrentMarkSweep_Count`	The number of GCs performed by the CMS garbage collector of the TaskManager.	None.	Count	Basic metric
`flink_taskmanager_Status_JVM_GarbageCollector_ParNew_Time`	The duration for which each GC of the TaskManager lasts.	If GC of the TaskManager lasts for an extended period of time, excessive memory space is occupied. This affects the job performance. This metric helps diagnose job issues and identify the causes of job failures.	Milliseconds	Basic metric
`flink_taskmanager_Status_JVM_GarbageCollector_ConcurrentMarkSweep_Time`	The time consumed by the CMS garbage collector of the TaskManager to perform a GC.	None.	Milliseconds	Basic metric
`flink_taskmanager_Status_JVM_ClassLoader_ClassesLoaded`	The total number of classes that are loaded after the JVM in which the TaskManager resides is created.	If the total number of classes that are loaded is excessively large after the JVM in which the TaskManager resides is created, excessive memory space is occupied. This affects the job performance.	None.	Basic metric
`flink_taskmanager_Status_JVM_ClassLoader_ClassesUnloaded`	The total number of classes that are unloaded after the JVM in which the TaskManager resides is created.	If the total number of classes that are unloaded is excessively large after the JVM in which the TaskManager resides is created, excessive memory space is occupied. This affects the job performance.	None.	Basic metric
`flink_jobmanager_job_uptime`	The period during which the job runs.	None.	Milliseconds	Custom metric
`flink_jobmanager_numRunningJobs`	The number of jobs that are running.	None.	None.	Custom metric
`flink_jobmanager_taskSlotsAvailable`	The number of available task slots.	None.	None.	Custom metric
`flink_jobmanager_taskSlotsTotal`	The total number of task slots.	None.	None.	Custom metric
`flink_jobmanager_numRegisteredTaskManagers`	The number of registered TaskManagers.	None.	None.	Custom metric
`flink_taskmanager_job_task_numBytesInRemotePerSecond`	The number of bytes read from the remote source per second.	None.	Byte/s	Custom metric
`flink_taskmanager_job_task_operator_numLateRecordsDropped`	The number of packets dropped due to window latency.	None.	Count	Custom metric
`flink_taskmanager_job_task_operator_lateRecordsDroppedRate`	The window latency rate.	None.	None.	Custom metric
`flink_jobmanager_job_operator_coordinator_enumerator_isSnapshotting`	Specifies whether the job is in the snapshot phase.	This metric indicates the job processing phase.	None.	Custom metric
`flink_jobmanager_job_operator_coordinator_enumerator_isBinlogReading`	Specifies whether the job is in the incremental phase.	This metric indicates the job processing phase.	None.	Custom metric
`flink_jobmanager_job_operator_coordinator_enumerator_numTablesRemaining`	Specifies whether the job is in the incremental phase.	This metric measures the number of unprocessed tables.	Count	Custom metric
`flink_jobmanager_job_operator_coordinator_enumerator_numTablesSnapshotted`	The number of tables that are waiting to be processed in the snapshot phase.	This metric measures the number of unprocessed tables.	Count	Custom metric
`flink_jobmanager_job_operator_coordinator_enumerator_numSnapshotSplitsProcessed`	The number of processed tables in the snapshot phase.	This metric measures the number of processed tables.	Count	Custom metric
`flink_jobmanager_job_operator_coordinator_enumerator_namespace_schema_table_numSnapshotSplitsProcessed`	The number of processed shards in the snapshot phase.	This metric measures the number of processed shards.	Count	Custom metric
`flink_jobmanager_job_operator_coordinator_enumerator_numSnapshotSplitsRemaining`	The number of shards that are waiting to be processed in the snapshot phase.	This metric measures the number of unprocessed shards.	Count	Custom metric
`flink_jobmanager_job_operator_coordinator_enumerator_namespace_schema_table_numSnapshotSplitsRemaining`	The number of shards that are waiting to be processed in the snapshot phase.	This metric measures the number of unprocessed shards.	Count	Custom metric
`flink_taskmanager_job_task_operator_currentReadTimestampMs`	The timestamp of the latest data record that is read.	This metric measures the time of the latest binary log data.	Milliseconds	Custom metric
`flink_taskmanager_job_task_operator_numSnapshotRecords`	The number of processed data records in the snapshot phase.	This metric measures the number of processed data records in the snapshot phase.	Count	Custom metric
`flink_taskmanager_job_task_operator_namespace_schema_table_numRecordsIn`	The number of data records that are read from each table.	This metric measures the total number of processed data records in each table.	Count	Custom metric
`flink_taskmanager_job_task_operator_namespace_schema_table_numSnapshotRecords`	The number of processed data records in each table in the snapshot phase.	This metric measures the number of processed data records in each table in the snapshot phase.	Count	Custom metric
`flink_taskmanager_job_task_operator_namespace_schema_table_numInsertDMLRecords`	The number of executed INSERT DML statements for each table in the incremental phase.	This metric measures the number of executed INSERT statements for each table.	Count	Custom metric
`flink_taskmanager_job_task_operator_namespace_schema_table_numUpdateDMLRecords`	The number of executed UPDATE DML statements for each table in the incremental phase.	This metric measures the number of executed UPDATE statements for each table.	Count	Custom metric
`flink_taskmanager_job_task_operator_namespace_schema_table_numDeleteDMLRecords`	The number of executed DELETE DML statements for each table in the incremental phase.	This metric measures the number of executed DELETE statements for each table.	Count	Custom metric
`flink_taskmanager_job_task_operator_namespace_schema_table_numDDLRecords`	The number of executed DDL statements for each table in the incremental phase.	This metric measures the number of executed DDL statements for each table.	Count	Custom metric
`flink_taskmanager_job_task_operator_numInsertDMLRecords`	The number of executed INSERT DML statements in the incremental phase.	This metric measures the number of executed INSERT statements.	Count	Custom metric
`flink_taskmanager_job_task_operator_numUpdateDMLRecords`	The number of executed UPDATE DML statements in the incremental phase.	This metric measures the number of executed UPDATE statements.	Count	Custom metric
`flink_taskmanager_job_task_operator_numDeleteDMLRecords`	The number of executed DELETE DML statements in the incremental phase.	This metric measures the number of executed DELETE statements.	Count	Custom metric
`flink_taskmanager_job_task_operator_numDDLRecords`	The number of executed DDL statements in the incremental phase.	This metric measures the number of executed DDL statements.	Count	Custom metric

Common metric labels

Label	Description
`vvpNamespace`	The name of the namespace.
`deploymentName`	The name of the deployment.
`deploymentId`	The deployment ID.
`jobId`	The job ID.

Others

For more information about the metrics of Application Real-Time Monitoring Service (ARMS) Application Monitoring, see Application Monitoring metrics.