服务器为centos7

1：到docker hub 中搜索 grafana 选择最新版本  grafana/grafana:latest

2:   到docker hub 中搜索 prometheus 选择最新版本  prom/prometheus:v2.10.0

2:   到docker hub 中搜索 node-exporter 选择最新版本 prom/node-exporter:v0.17.0

3：通过kuboard 部署 以上三个个镜像

其中部署 prometheus 比较麻烦，步骤如下：

1：需要在服务器安装 nfs https://blog.csdn.net/qq_38265137/article/details/83146421

2：安装好后，创建存储类

 创建存储声明

创建secrets，配置etcd-certs,到k8s路径下取到这两个crt,和key的值

 

 

配置prometheus config文件

global:
  scrape_interval:     15s # By default, scrape targets every 15 seconds.

  # Attach these labels to any time series or alerts when communicating with
  # external systems (federation, remote storage, Alertmanager).
  external_labels:
    monitor: 'codelab-monitor'

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # 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: ['localhost:9090']
  - job_name: 'node'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s

    static_configs:
      - targets: ['192.168.7.123:30091']
  - job_name: 'heapster'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s

    static_configs:
      - targets: ['192.168.7.123:30080']
  - job_name: 'metrics'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s

    static_configs:
      - targets: ['monitor-kube-state-metrics:8080']
  - job_name: 'gateway'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s

    static_configs:
      - targets: ['192.168.7.115:30020']

部署prometheus 

之后访问 ip：端口号 访问grafana

1:配置prometheus数据源

 

可以去 https://grafana.com/dashboards 自行搜寻，在这里我们用一名国人为 node_exporter 写的 Dashboard ，对应的主页为 https://grafana.com/dashboards/8919 

 

 如果不能联网：需要导入以下镜像

 

quay.io/external_storage/nfs-client-provisioner:v3.1.0-k8s1.11

下面配置为空