Azure 監視器中的預設 Prometheus 計量設定
本文會列出當您針對任何 AKS 叢集將 Prometheus 計量設定為從 Azure Kubernetes Service (AKS) 叢集抓取時的預設目標、儀表板與錄製規則。
最小內嵌設定檔
Minimal ingestion profile
是有助於降低計量擷取量的設定,因為只會收集預設儀表板、預設錄製規則與預設警示所使用的計量。 針對以附加元件為基礎的集合,預設會啟用 Minimal ingestion profile
設定。 您可以修改集合以便收集更多計量,如下所示。
擷取頻率
所有預設目標與抓取的預設抓取頻率為 30 秒。
預設抓取的目標
依預設會啟用/開啟下列目標 - 這表示您不需要提供任何抓取作業設定來抓取這些目標,因為計量附加元件依預設會自動抓取這些目標。
cadvisor
(job=cadvisor
)nodeexporter
(job=node
)kubelet
(job=kubelet
)kube-state-metrics
(job=kube-state-metrics
)networkobservabilityRetina
(job=networkobservabilityRetina
)
當您啟用控制平面計量 (預覽) 功能時,會啟用/開啟下列目標。 您可以使用控制平面計量,將整體可檢視性最大化,併為您的 AKS 叢集維持卓越營運。 如需詳細資訊,請參閱控制平面計量(預覽)。
controlplane-apiserver
(job=controlplane-apiserver
)controlplane-etcd
(job=controlplane-etcd
)
當您啟用容器網路可檢視性時,會啟用/開啟下列目標,這是進階容器網路服務套件的一項功能,且與所有Linux工作負載相容,可與 Cilium 或非 Cilium 型數據平面的 Hubble 緊密整合。 這可讓您彈性地滿足容器網路需求。 如需詳細資訊,請參閱 進階容器網路服務。
networkobservabilityHubble
(job=networkobservabilityHubble
)networkobservabilityCilium
(job=networkobservabilityCilium
)
從預設目標收集的計量
根據預設,會從每個預設目標收集下列計量。 所有其他計量都會透過重新標記規則來卸除。
cadvisor (job=cadvisor)
container_spec_cpu_period
container_spec_cpu_quota
container_cpu_usage_seconds_total
container_memory_rss
container_network_receive_bytes_total
container_network_transmit_bytes_total
container_network_receive_packets_total
container_network_transmit_packets_total
container_network_receive_packets_dropped_total
container_network_transmit_packets_dropped_total
container_fs_reads_total
container_fs_writes_total
container_fs_reads_bytes_total
container_fs_writes_bytes_total
container_memory_working_set_bytes
container_memory_cache
container_memory_swap
container_cpu_cfs_throttled_periods_total
container_cpu_cfs_periods_total
container_memory_usage_bytes
kubernetes_build_info"
kubelet (job=kubelet)
kubelet_volume_stats_used_bytes
kubelet_node_name
kubelet_running_pods
kubelet_running_pod_count
kubelet_running_containers
kubelet_running_container_count
volume_manager_total_volumes
kubelet_node_config_error
kubelet_runtime_operations_total
kubelet_runtime_operations_errors_total
kubelet_runtime_operations_duration_seconds
kubelet_runtime_operations_duration_seconds_bucket
kubelet_runtime_operations_duration_seconds_sum
kubelet_runtime_operations_duration_seconds_count
kubelet_pod_start_duration_seconds
kubelet_pod_start_duration_seconds_bucket
kubelet_pod_start_duration_seconds_sum
kubelet_pod_start_duration_seconds_count
kubelet_pod_worker_duration_seconds
kubelet_pod_worker_duration_seconds_bucket
kubelet_pod_worker_duration_seconds_sum
kubelet_pod_worker_duration_seconds_count
storage_operation_duration_seconds
storage_operation_duration_seconds_bucket
storage_operation_duration_seconds_sum
storage_operation_duration_seconds_count
storage_operation_errors_total
kubelet_cgroup_manager_duration_seconds
kubelet_cgroup_manager_duration_seconds_bucket
kubelet_cgroup_manager_duration_seconds_sum
kubelet_cgroup_manager_duration_seconds_count
kubelet_pleg_relist_duration_seconds
kubelet_pleg_relist_duration_seconds_bucket
kubelet_pleg_relist_duration_sum
kubelet_pleg_relist_duration_seconds_count
kubelet_pleg_relist_interval_seconds
kubelet_pleg_relist_interval_seconds_bucket
kubelet_pleg_relist_interval_seconds_sum
kubelet_pleg_relist_interval_seconds_count
rest_client_requests_total
rest_client_request_duration_seconds
rest_client_request_duration_seconds_bucket
rest_client_request_duration_seconds_sum
rest_client_request_duration_seconds_count
process_resident_memory_bytes
process_cpu_seconds_total
go_goroutines
kubelet_volume_stats_capacity_bytes
kubelet_volume_stats_available_bytes
kubelet_volume_stats_inodes_used
kubelet_volume_stats_inodes
kubernetes_build_info"
nodexporter (job=node)
node_cpu_seconds_total
node_memory_MemAvailable_bytes
node_memory_Buffers_bytes
node_memory_Cached_bytes
node_memory_MemFree_bytes
node_memory_Slab_bytes
node_memory_MemTotal_bytes
node_netstat_Tcp_RetransSegs
node_netstat_Tcp_OutSegs
node_netstat_TcpExt_TCPSynRetrans
node_load1``node_load5
node_load15
node_disk_read_bytes_total
node_disk_written_bytes_total
node_disk_io_time_seconds_total
node_filesystem_size_bytes
node_filesystem_avail_bytes
node_filesystem_readonly
node_network_receive_bytes_total
node_network_transmit_bytes_total
node_vmstat_pgmajfault
node_network_receive_drop_total
node_network_transmit_drop_total
node_disk_io_time_weighted_seconds_total
node_exporter_build_info
node_time_seconds
node_uname_info"
kube-state-metrics (job=kube-state-metrics)
kube_job_status_succeeded
kube_job_spec_completions
kube_daemonset_status_desired_number_scheduled
kube_daemonset_status_number_ready
kube_deployment_status_replicas_ready
kube_pod_container_status_last_terminated_reason
kube_pod_container_status_waiting_reason
kube_pod_container_status_restarts_total
kube_node_status_allocatable
kube_pod_owner
kube_pod_container_resource_requests
kube_pod_status_phase
kube_pod_container_resource_limits
kube_replicaset_owner
kube_resourcequota
kube_namespace_status_phase
kube_node_status_capacity
kube_node_info
kube_pod_info
kube_deployment_spec_replicas
kube_deployment_status_replicas_available
kube_deployment_status_replicas_updated
kube_statefulset_status_replicas_ready
kube_statefulset_status_replicas
kube_statefulset_status_replicas_updated
kube_job_status_start_time
kube_job_status_active
kube_job_failed
kube_horizontalpodautoscaler_status_desired_replicas
kube_horizontalpodautoscaler_status_current_replicas
kube_horizontalpodautoscaler_spec_min_replicas
kube_horizontalpodautoscaler_spec_max_replicas
kubernetes_build_info
kube_node_status_condition
kube_node_spec_taint
kube_pod_container_info
kube_resource_labels
(ex - kube_pod_labels, kube_deployment_labels)kube_resource_annotations
(ex - kube_pod_annotations, kube_deployment_annotations)
controlplane-apiserver (job=controlplane-apiserver)
apiserver_request_total
apiserver_cache_list_fetched_objects_total
apiserver_cache_list_returned_objects_total
apiserver_flowcontrol_demand_seats_average
apiserver_flowcontrol_current_limit_seats
apiserver_request_sli_duration_seconds_bucket
apiserver_request_sli_duration_seconds_count
apiserver_request_sli_duration_seconds_sum
process_start_time_seconds
apiserver_request_duration_seconds_bucket
apiserver_request_duration_seconds_count
apiserver_request_duration_seconds_sum
apiserver_storage_list_fetched_objects_total
apiserver_storage_list_returned_objects_total
apiserver_current_inflight_requests
controlplane-etcd (job=controlplane-etcd)
etcd_server_has_leader
rest_client_requests_total
etcd_mvcc_db_total_size_in_bytes
etcd_mvcc_db_total_size_in_use_in_bytes
etcd_server_slow_read_indexes_total
etcd_server_slow_apply_total
etcd_network_client_grpc_sent_bytes_total
etcd_server_heartbeat_send_failures_total
networkobservabilityHubble (job=networkobservabilityHubble)和 networkobservabilityCilium (job=networkobservabilityCilium)
如需這些目標所收集的計量清單,請參閱 容器網路可觀察性計量
針對 Windows 抓取的預設目標
下列 Windows 目標已設定為抓取,但預設不會啟用 (停用/關閉) 抓取 - 這表示您不需要提供任何抓取作業設定來抓取這些目標,但依預設會加以停用/關閉,而您必須使用 default-scrape-settings-enabled
區段底下的 ama-metrics-settings-configmap 為這些目標開啟/啟用抓取。
您可以針對 Windows 執行兩個預設作業,以抓取 Windows 特定儀表板所需的計量。
windows-exporter
(job=windows-exporter
)kube-proxy-windows
(job=kube-proxy-windows
)
注意
這需要套用或更新 ama-metrics-settings-configmap
configmap,並在所有 Windows 節點上安裝 windows-exporter
。 如需詳細資訊,請參閱啟用文件。
針對 Windows 抓取的計量
啟用 windows-exporter 和 kube-proxy-windows 時,會收集下列計量。
windows-exporter (job=windows-exporter)
windows_system_system_up_time
windows_cpu_time_total
windows_memory_available_bytes
windows_os_visible_memory_bytes
windows_memory_cache_bytes
windows_memory_modified_page_list_bytes
windows_memory_standby_cache_core_bytes
windows_memory_standby_cache_normal_priority_bytes
windows_memory_standby_cache_reserve_bytes
windows_memory_swap_page_operations_total
windows_logical_disk_read_seconds_total
windows_logical_disk_write_seconds_total
windows_logical_disk_size_bytes
windows_logical_disk_free_bytes
windows_net_bytes_total
windows_net_packets_received_discarded_total
windows_net_packets_outbound_discarded_total
windows_container_available
windows_container_cpu_usage_seconds_total
windows_container_memory_usage_commit_bytes
windows_container_memory_usage_private_working_set_bytes
windows_container_network_receive_bytes_total
windows_container_network_transmit_bytes_total
kube-proxy-windows (job=kube-proxy-windows)
kubeproxy_sync_proxy_rules_duration_seconds
kubeproxy_sync_proxy_rules_duration_seconds_bucket
kubeproxy_sync_proxy_rules_duration_seconds_sum
kubeproxy_sync_proxy_rules_duration_seconds_count
rest_client_requests_total
rest_client_request_duration_seconds
rest_client_request_duration_seconds_bucket
rest_client_request_duration_seconds_sum
rest_client_request_duration_seconds_count
process_resident_memory_bytes
process_cpu_seconds_total
go_goroutines
儀表板
下列是當您將 Azure 監視器工作區連結至 Azure 受控 Grafana 執行個體時,適用於 Prometheus 的 Azure 監視器受控服務會自動佈建及設定的預設儀表板。 您可以在 這個 GitHub 存放庫 中找到這些儀表板的原始程式碼。 下列儀表板將會佈建在 Grafana 中 Managed Prometheus
資料夾下的指定 Azure Grafana 執行個體中。 這些是使用 Prometheus 和 Grafana 監視 Kubernetes 叢集的標準開放原始碼社群儀表板。
Kubernetes / Compute Resources / Cluster
Kubernetes / Compute Resources / Namespace (Pods)
Kubernetes / Compute Resources / Node (Pods)
Kubernetes / Compute Resources / Pod
Kubernetes / Compute Resources / Namespace (Workloads)
Kubernetes / Compute Resources / Workload
Kubernetes / Kubelet
Node Exporter / USE Method / Node
Node Exporter / Nodes
Kubernetes / Compute Resources / Cluster (Windows)
Kubernetes / Compute Resources / Namespace (Windows)
Kubernetes / Compute Resources / Pod (Windows)
Kubernetes / USE Method / Cluster (Windows)
Kubernetes / USE Method / Node (Windows)
錄製規則
下列是當您將 Prometheus 計量設定為從Azure Kubernetes Service (AKS) 抓時,適用於 Prometheus 的 Azure 監視器受控服務會自動設定的預設錄製規則。 您可以在這個 GitHub 存放庫中找到這些錄製規則的原始程式碼。 這些是上述儀表板中使用的標準開放原始碼錄製規則。
cluster:node_cpu:ratio_rate5m
namespace_cpu:kube_pod_container_resource_requests:sum
namespace_cpu:kube_pod_container_resource_limits:sum
:node_memory_MemAvailable_bytes:sum
namespace_memory:kube_pod_container_resource_requests:sum
namespace_memory:kube_pod_container_resource_limits:sum
namespace_workload_pod:kube_pod_owner:relabel
node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate
cluster:namespace:pod_cpu:active:kube_pod_container_resource_requests
cluster:namespace:pod_cpu:active:kube_pod_container_resource_limits
cluster:namespace:pod_memory:active:kube_pod_container_resource_requests
cluster:namespace:pod_memory:active:kube_pod_container_resource_limits
node_namespace_pod_container:container_memory_working_set_bytes
node_namespace_pod_container:container_memory_rss
node_namespace_pod_container:container_memory_cache
node_namespace_pod_container:container_memory_swap
instance:node_cpu_utilisation:rate5m
instance:node_load1_per_cpu:ratio
instance:node_memory_utilisation:ratio
instance:node_vmstat_pgmajfault:rate5m
instance:node_network_receive_bytes_excluding_lo:rate5m
instance:node_network_transmit_bytes_excluding_lo:rate5m
instance:node_network_receive_drop_excluding_lo:rate5m
instance:node_network_transmit_drop_excluding_lo:rate5m
instance_device:node_disk_io_time_seconds:rate5m
instance_device:node_disk_io_time_weighted_seconds:rate5m
instance:node_num_cpu:sum
node:windows_node:sum
node:windows_node_num_cpu:sum
:windows_node_cpu_utilisation:avg5m
node:windows_node_cpu_utilisation:avg5m
:windows_node_memory_utilisation:
:windows_node_memory_MemFreeCached_bytes:sum
node:windows_node_memory_totalCached_bytes:sum
:windows_node_memory_MemTotal_bytes:sum
node:windows_node_memory_bytes_available:sum
node:windows_node_memory_bytes_total:sum
node:windows_node_memory_utilisation:ratio
node:windows_node_memory_utilisation:
node:windows_node_memory_swap_io_pages:irate
:windows_node_disk_utilisation:avg_irate
node:windows_node_disk_utilisation:avg_irate
node:windows_node_filesystem_usage:
node:windows_node_filesystem_avail:
:windows_node_net_utilisation:sum_irate
node:windows_node_net_utilisation:sum_irate
:windows_node_net_saturation:sum_irate
node:windows_node_net_saturation:sum_irate
windows_pod_container_available
windows_container_total_runtime
windows_container_memory_usage
windows_container_private_working_set_usage
windows_container_network_received_bytes_total
windows_container_network_transmitted_bytes_total
kube_pod_windows_container_resource_memory_request
kube_pod_windows_container_resource_memory_limit
kube_pod_windows_container_resource_cpu_cores_request
kube_pod_windows_container_resource_cpu_cores_limit
namespace_pod_container:windows_container_cpu_usage_seconds_total:sum_rate
Prometheus 視覺效果錄製規則
當您使用 Prometheus 型 Container Insights 時,將會部署更多錄製規則以支援 Prometheus 視覺效果。
ux:cluster_pod_phase_count:sum
ux:node_cpu_usage:sum_irate
ux:node_memory_usage:sum
ux:controller_pod_phase_count:sum
ux:controller_container_count:sum
ux:controller_workingset_memory:sum
ux:controller_cpu_usage:sum_irate
ux:controller_rss_memory:sum
ux:controller_resource_limit:sum
ux:controller_container_restarts:max
ux:pod_container_count:sum
ux:pod_cpu_usage:sum_irate
ux:pod_workingset_memory:sum
ux:pod_rss_memory:sum
ux:pod_resource_limit:sum
ux:pod_container_restarts:max
ux:node_network_receive_drop_total:sum_irate
ux:node_network_transmit_drop_total:sum_irate
Windows 支援需要下列錄製規則。 這些規則會隨著上述規則一起部署,不過,預設不會啟用這些規則。 請遵循在 Azure 監視器工作區中啟用和停用規則群組的指示。
ux:node_cpu_usage_windows:sum_irate
ux:node_memory_usage_windows:sum
ux:controller_cpu_usage_windows:sum_irate
ux:controller_workingset_memory_windows:sum
ux:pod_cpu_usage_windows:sum_irate
ux:pod_workingset_memory_windows:sum