将这些添加到k8s -telemetry-port=8081 -metric-labels-allowlist=pods=[*]中kube-state-metric deployment中的args中会对您有所帮助。
x1c 0d1x的数据

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spec:
  containers:
  - args:
    - --port=8080
    - --telemetry-port=8081
    - --metric-labels-allowlist=pods=[*]
    - --resources=certificatesigningrequests,configmaps,cronjobs,daemonsets,deployments,endpoints,horizontalpodautoscalers,ingresses,jobs,leases,limitranges,mutatingwebhookconfigurations,namespaces,networkpolicies,nodes,persistentvolumeclaims,persistentvolumes,poddisruptionbudgets,pods,replicasets,replicationcontrollers,resourcequotas,secrets,services,statefulsets,storageclasses,validatingwebhookconfigurations,volumeattachments
    image: registry.k8s.io/kube-state-metrics/kube-state-metrics:v2.9.2

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在www.asserts.ai中，我们使用以下记录规则记录容器CPU Metric
看起来您正在使用kube_mixin，因此mixin_pod_workload的记录规则可能已经存在于您的环境中

sum by (pod, container, namespace, node, job, workload, asserts_env, asserts_site) (
            rate(container_cpu_usage_seconds_total {container != "POD", image != "", container != ""}[5m])
            * on (pod, namespace, asserts_env, asserts_site) group_left(workload)
            mixin_pod_workload
            * on (pod, namespace, asserts_env, asserts_site) group_left()
            group by (pod, namespace, asserts_env, asserts_site) (kube_pod_labels)
          )

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