kubernetes上的prometheus node-exporter

时间:2019-07-09 19:40:34

标签: kubernetes prometheus amazon-eks prometheus-node-exporter

我已经在kubernetes集群(EKS)上部署了普罗米修斯。我可以通过以下

成功抓取prometheustraefik
scrape_configs:
  # A scrape configuration containing exactly one endpoint to scrape:

  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: 'prometheus'
    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s
    static_configs:
      - targets: ['prometheus.kube-monitoring.svc.cluster.local:9090']

  - job_name: 'traefik'
    static_configs:
      - targets: ['traefik.kube-system.svc.cluster.local:8080']

但是部署为DaemonSet且具有以下定义的node-exporter并未公开节点度量。

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: node-exporter
  namespace: kube-monitoring
spec:
  selector:
    matchLabels:
      app: node-exporter
  template:
    metadata:
      name: node-exporter
      labels:
        app: node-exporter
    spec:
      hostNetwork: true
      hostPID: true
      containers:
      - name: node-exporter
        image: prom/node-exporter:v0.18.1
        args:
        - "--path.procfs=/host/proc"
        - "--path.sysfs=/host/sys"
        ports:
        - containerPort: 9100
          hostPort: 9100
          name: scrape
        resources:
          requests:
            memory: 30Mi
            cpu: 100m
          limits:
            memory: 50Mi
            cpu: 200m
        volumeMounts:
        - name: proc
          readOnly:  true
          mountPath: /host/proc
        - name: sys
          readOnly: true
          mountPath: /host/sys
      tolerations:
        - effect: NoSchedule
          operator: Exists
      volumes:
      - name: proc
        hostPath:
          path: /proc
      - name: sys
        hostPath:
          path: /sys

并在prometheus中遵循scrape_configs

scrape_configs:
  - job_name: 'kubernetes-nodes'
    scheme: http
    kubernetes_sd_configs:
    - role: node
    relabel_configs:
    - action: labelmap
      regex: __meta_kubernetes_node_label_(.+)
    - target_label: __address__
      replacement: kubernetes.kube-monitoring.svc.cluster.local:9100
    - source_labels: [__meta_kubernetes_node_name]
      regex: (.+)
      target_label: __metrics_path__
      replacement: /api/v1/nodes/${1}/proxy/metrics 

我也尝试从其中一个容器中curl http://localhost:9100/metrics,但是得到了curl: (7) Failed to connect to localhost port 9100: Connection refused

我在这里缺少什么配置?

3 个答案:

答案 0 :(得分:1)

以前使用Helm的建议非常有效,我也建议这样做。

关于您的问题:问题是您不是直接刮节点,而是使用node-exporter。因此role: node是不正确的,您应该改用role: endpoints。为此,您还需要为DaemonSet的所有Pod创建服务。

这是我的环境(由Helm安装)中的有效示例:

- job_name: monitoring/kube-prometheus-exporter-node/0
  scrape_interval: 15s
  scrape_timeout: 10s
  metrics_path: /metrics
  scheme: http
  kubernetes_sd_configs:
  - role: endpoints
    namespaces:
      names:
      - monitoring
  relabel_configs:
  - source_labels: [__meta_kubernetes_service_label_app]
    separator: ;
    regex: exporter-node
    replacement: $1
    action: keep
  - source_labels: [__meta_kubernetes_endpoint_port_name]
    separator: ;
    regex: metrics
    replacement: $1
    action: keep
  - source_labels: [__meta_kubernetes_namespace]
    separator: ;
    regex: (.*)
    target_label: namespace
    replacement: $1
    action: replace
  - source_labels: [__meta_kubernetes_pod_name]
    separator: ;
    regex: (.*)
    target_label: pod
    replacement: $1
    action: replace
  - source_labels: [__meta_kubernetes_service_name]
    separator: ;
    regex: (.*)
    target_label: service
    replacement: $1
    action: replace
  - source_labels: [__meta_kubernetes_service_name]
    separator: ;
    regex: (.*)
    target_label: job
    replacement: ${1}
    action: replace
  - separator: ;
    regex: (.*)
    target_label: endpoint
    replacement: metrics
    action: replace

答案 1 :(得分:0)

您是如何部署Prometheus的?每当我使用helm-chart(https://github.com/helm/charts/tree/master/stable/prometheus)时,都会部署node-exporter。也许这是一个更简单的解决方案。

答案 2 :(得分:0)

我被困在了类似的地方。但是这里我的节点导出器不是 helm 部署的一部分,因为我们从 Tanzu kubernetes grid(k8s 集群)获得了附加节点导出器。所以我创建了服务监视器,现在我可以看到服务发现和计数应该是什么。但在目标部分,它说的是 0/4 计数。无法看到节点的指标,但是当我可以卷曲 localhost:9100/metrics 时,我可以看到数据。有些地方我缺少逻辑。

我检查了 helm 部署的节点导出器数据,它看起来一样,但我在这里遗漏了什么?

请忽略缩进,因为在移动设备中复制粘贴时会遗漏它们。

 - job_name: node-exporter
   scrape_interval: 15s
   scrape_timeout: 10s
   metrics_path: /metrics
   scheme: http
   kubernetes_sd_configs:
     - role: endpoints
       namespaces:
       names:
        - monitoring
  relabel_configs:
   - source_labels: 
       [__meta_kubernetes_service_label_app]
      separator: ;
      regex: exporter-node
      replacement: $1
      action: keep
   - source_labels: 
       [__meta_kubernetes_endpoint_port_name]
      separator: ;
      regex: metrics
      replacement: $1
      action: keep
  - source_labels: [__meta_kubernetes_namespace]
     separator: ;
     regex: (.*)
     target_label: namespace
     replacement: $1
     action: replace
 - source_labels: [__meta_kubernetes_pod_name]
   separator: ;
   regex: (.*)
   target_label: pod
   replacement: $1
   action: replace
- source_labels: [__meta_kubernetes_service_name]
   separator: ;
   regex: (.*)
   target_label: service
   replacement: $1
   action: replace
 - source_labels: [__meta_kubernetes_service_name]
   separator: ;
    regex: (.*)
   target_label: job
   replacement: ${1}
   action: replace
  - separator: ;
    regex: (.*)
    target_label: endpoint
    replacement: metrics
    action: replace