使用Grafana和Prometheus對Linux伺服器效能進行監控，主要通過node_exporter進行監控，指標如 CPU、記憶體、磁碟等。Prometheus通過HTTP協議從遠端的機器收集資料並存儲Prometheus本地時序資料庫。

一.監測伺服器安裝node_exporter

linux下載: wgethttps://github.com/prometheus/node_exporter/releases/download/v0.18.1/node_exporter-0.18.1.linux-amd64.tar.gz

解壓：tar xzvf node_exporter-0.18.1.linux-amd64.tar.gz
    cd node_exporter-0.18.1.linux-amd64
啟動：./node_exporter
 

二.本地安裝prometheus，修改監測配置

1.下載並解壓：https://prometheus.io/download/

2.解壓後開啟,prometheus.yml

# 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']

在末尾加上監測的ip和埠   
  - job_name: 'linux-exporter'
    metrics_path: /metrics
    static_configs:
    - targets: ['xxx.xxx.xxx.xxx:9100']

3.監測是否監聽成功

啟動prometheus.exe，本地訪問：localhost:9090

介面展示監聽的伺服器即表示成功~~~~

三.安裝grafana
1.下載：https://grafana.com/grafana/download
2.啟動：本地訪問localhost:3000
預設admin/admin登入，登入進去會讓你修改使用者名稱和密碼，修改即可
3.選擇Prometheus資料來源

4.進入grafana官網https://grafana.com/，從選單欄Grafana中選擇Dashboards，進入dashboards模板頁面，複製ID，這裡用的是8919，在grafana上ipmort 監聽模組：