kubernetes(23)：安装部署资源收集插件metrics-server

安装部署资源收集插件metrics-server

 

https://blog.csdn.net/bbwangj/article/details/82832883

1  metrics-server简介

从 Kubernetes 1.8 开始，资源使用指标（如容器 CPU 和内存使用率）通过 Metrics API 在 Kubernetes 中获取, metrics-server 替代了heapster。Metrics Server 实现了Resource Metrics API，Metrics Server 是集群范围资源使用数据的聚合器。 

Metrics Server 从每个节点上的 Kubelet 公开的 Summary API 中采集指标信息。

kubernetes metrics server 参考文档 https://github.com/kubernetes-incubator/metrics-server

如果使用kubernetes的自动扩容功能的话，那首先得安装metrics-seve，将收集到的信息（cpu、memory..）与自动扩容的设置的值进行比对，自动调整pod数量。

 

2 下载

git clone https://github.com/kubernetes-incubator/metrics-server
cd metrics-server/deploy/1.8+

 

3 修改metrics-server-deployment.yaml

#要不error: metrics not available yet错误

#修改增加了资源限制和参数，修改镜像地址

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: metrics-server
  namespace: kube-system
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: metrics-server
  namespace: kube-system
  labels:
    k8s-app: metrics-server
spec:
  selector:
    matchLabels:
      k8s-app: metrics-server
  template:
    metadata:
      name: metrics-server
      labels:
        k8s-app: metrics-server
    spec:
      serviceAccountName: metrics-server
      volumes:
      # mount in tmp so we can safely use from-scratch images and/or read-only containers
      - name: tmp-dir
        emptyDir: {}
      containers:
      - name: metrics-server
        image: mirrorgooglecontainers/metrics-server-amd64:v0.3.1
        imagePullPolicy: IfNotPresent
        command:
        - /metrics-server
        - --kubelet-insecure-tls
        - --kubelet-preferred-address-types=InternalDNS,InternalIP,ExternalDNS,ExternalIP,Hostname
        volumeMounts:
        - name: tmp-dir
          mountPath: /tmp
        resources:
          limits:
            cpu: 300m
            memory: 200Mi
          requests:
            cpu: 200m
            memory: 100Mi

 

 

4 部署

kubectl create -f metrics-server/deploy/1.8+/

 

5  验证

服务验证

kubectl get  pods  -n kube-system|grep metrics-server
[root@k8s-master 1.8+]# kubectl get  pods  -n kube-system|grep metrics-server
metrics-server-84998789f5-8j4pq      1/1     Running   0          63m
[root@k8s-master 1.8+]#

 

命令验证-取得CPU和内存值

[root@k8s-master 1.8+]# kubectl top nodes
NAME         CPU(cores)   CPU%   MEMORY(bytes)   MEMORY%
k8s-master   241m         6%     1569Mi          19%
k8s-node-1   42m          1%     2276Mi          28%
k8s-node-2   36m          0%     662Mi           8%
[root@k8s-master 1.8+]# kubectl top pods
NAME                     CPU(cores)   MEMORY(bytes)
nginx-76546c5b7d-5sf8k   0m           2Mi
[root@k8s-master 1.8+]#

 

验证API

重开窗口

[root@k8s-master ~]# kubectl proxy --port=8080
Starting to serve on 127.0.0.1:8080

[root@k8s-master 1.8+]# curl http://localhost:8080/apis/metrics.k8s.io/v1beta1/nodes
{
  "kind": "NodeMetricsList",
  "apiVersion": "metrics.k8s.io/v1beta1",
  "metadata": {
    "selfLink": "/apis/metrics.k8s.io/v1beta1/nodes"
  },
  "items": [
    {
      "metadata": {
        "name": "k8s-node-1",
        "selfLink": "/apis/metrics.k8s.io/v1beta1/nodes/k8s-node-1",
        "creationTimestamp": "2019-08-29T06:35:05Z"
      },
      "timestamp": "2019-08-29T06:35:02Z",
      "window": "30s",
      "usage": {
        "cpu": "61050370n",
        "memory": "2318092Ki"
      }
    },
    {
      "metadata": {
        "name": "k8s-node-2",
        "selfLink": "/apis/metrics.k8s.io/v1beta1/nodes/k8s-node-2",
        "creationTimestamp": "2019-08-29T06:35:05Z"
      },
      "timestamp": "2019-08-29T06:34:56Z",
      "window": "30s",
      "usage": {
        "cpu": "35726510n",
        "memory": "666300Ki"
      }
    },
    {
      "metadata": {
        "name": "k8s-master",
        "selfLink": "/apis/metrics.k8s.io/v1beta1/nodes/k8s-master",
        "creationTimestamp": "2019-08-29T06:35:05Z"
      },
      "timestamp": "2019-08-29T06:35:02Z",
      "window": "30s",
      "usage": {
        "cpu": "245064781n",
        "memory": "1605312Ki"
      }
    }
  ]
}[root@k8s-master 1.8+]#