grafana+prometheus+node_exporter+linux

使用Grafana和Prometheus对Linux服务器性能进行监控，主要通过node_exporter进行监控，指标如 CPU、内存、磁盘等。Prometheus通过HTTP协议从远程的机器收集数据并存储Prometheus本地时序数据库。

 

一.监测服务器安装node_exporter

linux下载: wget https://github.com/prometheus/node_exporter/releases/download/v0.18.1/node_exporter-0.18.1.linux-amd64.tar.gz

解压：tar xzvf node_exporter-0.18.1.linux-amd64.tar.gz
     cd node_exporter-0.18.1.linux-amd64
启动：./node_exporter 

 

二.本地安装prometheus，修改监测配置

1.下载并解压：https://prometheus.io/download/

2.解压后打开,prometheus.yml,将IP改为你要监测的服务器IP

# my global config
global:
  scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# Alertmanager configuration
alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

# 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'

    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.

    static_configs:
    - targets: ['localhost:9090']

在末尾加上监测的ip和端口   
  - job_name: 'linux-exporter'
    metrics_path: /metrics
    static_configs:
    - targets: ['xxx.xxx.xxx.xxx:9100']

3.监测是否监听成功

启动prometheus.exe，本地访问：localhost:9090

 

 

 

 界面展示监听的服务器即表示成功~~~~

三.安装grafana
1.下载：https://grafana.com/grafana/download
2.启动：运行grafana-server.exe,本地访问localhost:3000,若端口被占用需要修改端口
默认admin/admin登录，登录进去会让你修改用户名和密码，修改即可
3.选择Prometheus数据源

 

 

 

 输入http:localhost:9090

 

 

4.进入grafana官网 https://grafana.com/，从菜单栏Grafana中选择Dashboards，进入dashboards模板页面，复制ID，这里用的是8919，在grafana上ipmort 监听模块，数据源选择prometheus