来自自定义导出器的 Prometheus 指标显示在 /metrics 中，但不在 /graph (k8s) 中

Question

我在 golang 中编写了一个名为“my-node-exporter”的节点导出器，其中包含一些收集器来显示指标。在我的集群中，我可以通过以下方式查看我的指标：

kubectl port-forward my-node-exporter-999b5fd99-bvc2c 9090:8080 -n kube-system
localhost:9090/metrics

但是，当我尝试在 prometheus 仪表板中查看我的指标时

kubectl port-forward prometheus-prometheus-operator-158978-prometheus-0 9090
localhost:9090/graph

找不到我的指标，我只能看到默认指标。我是否错过了将指标显示在图表上的步骤？

---

这是我的默认命名空间中的 pod，其中包含我的 prometheus 内容。

pod/alertmanager-prometheus-operator-158978-alertmanager-0            2/2     Running   0          85d
pod/grafana-1589787858-fd7b847f9-sxxpr                                1/1     Running   0          85d
pod/prometheus-operator-158978-operator-75f4d57f5b-btwk9              2/2     Running   0          85d
pod/prometheus-operator-1589787700-grafana-5fb7fd9d8d-2kptx           2/2     Running   0          85d
pod/prometheus-operator-1589787700-kube-state-metrics-765d4b7bvtdhj   1/1     Running   0          85d
pod/prometheus-operator-1589787700-prometheus-node-exporter-bwljh     1/1     Running   0          85d
pod/prometheus-operator-1589787700-prometheus-node-exporter-nb4fv     1/1     Running   0          85d
pod/prometheus-operator-1589787700-prometheus-node-exporter-rmw2f     1/1     Running   0          85d
pod/prometheus-prometheus-operator-158978-prometheus-0                3/3     Running   1          85d

我使用helm安装prometheus operator。

编辑：添加我的 yaml 文件

# Configuration to deploy
#
# example usage: kubectl create -f <this_file>

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: my-node-exporter-sa
  namespace: kube-system

---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: my-node-exporter-binding
subjects:
  - kind: ServiceAccount
    name: my-node-exporter-sa
    namespace: kube-system
roleRef:
  kind: ClusterRole
  name: my-node-exporter-role
  apiGroup: rbac.authorization.k8s.io

---

kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: my-node-exporter-role
rules:
  - apiGroups: [""]
    resources: ["secrets"]
    verbs: ["get", "list", "watch"]
  - apiGroups: [""]
    resources: ["persistentvolumes"]
    verbs: ["get", "list", "watch"]
  - apiGroups: [""]
    resources: ["persistentvolumeclaims"]
    verbs: ["get", "list", "watch"]
  - apiGroups: ["storage.k8s.io"]
    resources: ["storageclasses"]
    verbs: ["get", "list", "watch"]

---
#####################################################
############  Service ############
#####################################################

kind: Service
apiVersion: v1
metadata:
  name: my-node-exporter-svc
  namespace: kube-system
  labels:
    app: my-node-exporter
spec:
  ports:
    - name: my-node-exporter
      port: 8080
      targetPort: metrics
      protocol: TCP
  selector:
    app: my-node-exporter

---
#########################################################
############   Deployment  ############
#########################################################

kind: Deployment
apiVersion: apps/v1
metadata:
  name: my-node-exporter
  namespace: kube-system
spec:
  selector:
    matchLabels:
      app: my-node-exporter
  replicas: 1
  template:
    metadata:
      labels:
        app: my-node-exporter
    spec:
      serviceAccount: my-node-exporter-sa
      containers:
        - name: my-node-exporter
          image: locationofmyimagehere
          args:
            - "--telemetry.addr=8080"
            - "--telemetry.path=/metrics"
          imagePullPolicy: Always
          ports:
            - containerPort: 8080
          volumeMounts:
            - name: log-dir
              mountPath: /var/log
      volumes:
        - name: log-dir
          hostPath:
            path: /var/log

服务监控yaml

apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: my-node-exporter-service-monitor
  labels:
    app: my-node-exporter-service-monitor
spec:
  selector:
    matchLabels:
      app: my-node-exporter
    matchExpressions:
      - {key: app, operator: Exists}
  endpoints:
  - port: my-node-exporter
  namespaceSelector:
    matchNames:
    - default
    - kube-system

普罗米修斯 yaml

# Prometheus will use selected ServiceMonitor
apiVersion: monitoring.coreos.com/v1
kind: Prometheus
metadata:
  name: my-node-exporter
  labels:
    team: frontend
spec:
  serviceMonitorSelector:
      matchLabels:
        app: my-node-exporter
      matchExpressions:
      - key: app
        operator: Exists

Answer 1

您需要明确告诉 Prometheus 要收集哪些指标 - 以及从何处收集 - 首先创建一个指向您的 my-node-exporter pod 的 Service，然后创建一个 ServiceMonitor，如在Prometheus Operator docs 中描述 - 搜索短语“此服务对象由 ServiceMonitor 发现”。

Answer 2

让 Deployment/Service/ServiceMonitor/PrometheusRule 在 PrometheusOperator 中工作需要非常小心。
所以我创建了一个 helm chart repo kehao95/helm-prometheus-exporter 来安装任何 prometheus-exporters，包括您的客户 exporter，您可以尝试一下。
它不仅会为您创建导出器Deployment，还会为您创建Service/ServiceMonitor/PrometheusRule。

• 安装图表

helm repo add kehao95 https://kehao95.github.io/helm-prometheus-exporter/

• 为kehao95/prometheus-exporter 创建一个值文件my-exporter.yaml

exporter: 
  image: your-exporter
  tag: latest
  port: 8080
  args:
  - "--telemetry.addr=8080"
  - "--telemetry.path=/metrics"

• 用 helm 安装它

helm install --namespace yourns my-exporter kehao95/prometheus-exporter -f my-exporter.yaml

然后你应该在 prometheus 中看到你的指标。