.. _promql_examples: ===================== PromQL查询案例 ===================== 一些有用的PromQL查询案例 =========================== - 按照每个 namespace 查询pod数量:: sum by (namespace) (kube_pod_info) - (没理解)找出CPU overcommit:: sum(kube_pod_container_resource_limits{resource="cpu"}) - sum(kube_node_status_capacity{resource="cpu"}) - (没理解)内存overcommit:: sum(kube_pod_container_resource_limits{resource="memory"}) - sum(kube_node_status_capacity{resource="memory"}) - 找出没有正常运行的pods:: min_over_time(sum by (namespace, pod) (kube_pod_status_phase{phase=~"Pending|Unknown|Failed"})[15m:1m]) > 0 - 找出不断Crash的pods:: increase(kube_pod_container_status_restarts_total[15m]) > 3 - 找出每个namespace中没有CPU限制的容器数量:: count by (namespace)(sum by (namespace,pod,container)(kube_pod_container_info{container!=""}) unless sum by (namespace,pod,container)(kube_pod_container_resource_limits{resource="cpu"})) - 找出系统中出于pending状态的PVC:: kube_persistentvolumeclaim_status_phase{phase="Pending"} - 找出不稳定的节点:: sum(changes(kube_node_status_condition{status="true",condition="Ready"}[15m])) by (node) > 2 - 找出空闲的CPU cores:: sum((rate(container_cpu_usage_seconds_total{container!="POD",container!=""}[30m]) - on (namespace,pod,container) group_left avg by (namespace,pod,container)(kube_pod_container_resource_requests{resource="cpu"})) * -1 >0) - 找出空闲的内存:: sum((container_memory_usage_bytes{container!="POD",container!=""} - on (namespace,pod,container) avg by (namespace,pod,container)(kube_pod_container_resource_requests{resource="memory"})) * -1 >0 ) / (1024*1024*1024) - 查询节点状态:: sum(kube_node_status_condition{condition="Ready",status="true"}) sum(kube_node_status_condition{condition="NotReady",status="true"}) sum(kube_node_spec_unschedulable) by (node) 其他 ===== 参考 ======= - `Prometheus queries: 11 promql examples and tutorial `_