普罗米修斯下载网址：https://prometheus.io/download/
监控集成器下载地址：http://www.coderdocument.com/docs/prometheus/v2.14/instrumenting/exporters_and_integrations.html
主服务器配置
安装
wget https://github.com/prometheus/prometheus/releases/download/v3.5.0-rc.0/prometheus-3.5.0-rc.0.linux-amd64.tar.gz
tar xf prometheus-3.5.0-rc.0.linux-amd64.tar.gz -C /usr/local
mv prometheus-3.5.0-rc.0.linux-amd64/ /usr/local/prometheus查看版本号
cd /usr/local/prometheus
./prometheus --version
帮助文档
./prometheus --helpprometheus.yml 配置解释
# my global config
global:
# 默认情况下，每15s拉取一次目标采样点数据。
scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
# 每15秒评估一次规则。默认值为每1分钟。
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:
# job名称会增加到拉取到的所有采样点上，同时还有一个instance目标服务的host：port标签也会增加到采样点上
- job_name: 'prometheus'
# 覆盖global的采样点，拉取时间间隔5s
scrape_interval: 5s
static_configs:
- targets: ['localhost:9090']
启动服务
./prometheus --config.file=prometheus.yml访问 http://localhost:9090
将Prometheus配置为系统服务
cd /usr/lib/systemd/system
vim prometheus.service增加以下信息
[Unit]
Description=https://prometheus.io
[Service]
Restart=on-failure
ExecStart=/usr/local/prometheus/prometheus --config.file=/usr/local/prometheus/prometheus.yml --web.listen-address=:9090
[Install]
WantedBy=multi-user.target
启动生效
systemctl daemon-reload
systemctl start prometheus客户端
客户端安装node_exporter
wget http://blog.koniaoer.top/upload/node_exporter-1.9.1.linux-amd64.tar.gz
tar xf node_exporter-1.9.1.linux-amd64.tar.gz -C /usr/local/
cd /usr/local/
mv node_exporter-1.9.1.linux-amd64/ node_exporter
cd node_exporter启动并添加服务
./node_exporter &
vim /usr/lib/systemd/system/node_exporter.service# 启动后会监听9100端口
添加以下数据
[Unit]
Description=node_exporter
After=network.target
[Service]
ExecStart=/usr/local/node_exporter/node_exporter
Restart=on-failure
Restart=always
RestartSec=5s
[Install]
WantedBy=multi-user.target# 启动node_exporter
systemctl daemon-reload
systemctl start node_exporter根据以下格式在主服务器的prometheus.yml文件增加客户端ip:port
systemctl restart prometheus.service打开普罗米修斯自带的监控页面,Status -> Targets 查看：
监控MySQL
wget https://github.com/prometheus/mysqld_exporter/releases/download/v0.17.2/mysqld_exporter-0.17.2.linux-amd64.tar.gz
tar xf mysqld_exporter-0.17.2.linux-amd64.tar.gz -C /usr/local/
cd /usr/local/
mv mysqld_exporter-0.17.2.linux-amd64 mysqld_exporter
cd /usr/local/mysqld_exporter
vim .my.cnf[client]
user=root
password=123456启动mysqld-exporter
./mysqld_exporter --config.my-cnf="/usr/local/mysqld_exporter/.my.cnf" &检查端口，查看是否启动
ps -ef |grep exporter
ss -lntp |grep 9140在Prometheus配置文件增加监控项
vim prometheus.yml
- job_name: 'mysql'
static_configs:
- targets: ['改成客户端ip:9104']重启
systemctl restart prometheus.service将宿客户端采集node_exporter加入到服务配置文件中
vi /usr/lib/systemd/system/node_exporter.service[Unit]
Description=https://prometheus.io
[Service]
Restart=on-failure
ExecStart=/usr/local/node_exporter/node_exporter --collector.systemd --collector.systemd.unit-whitelist=(docker|sshd|nginx).service
[Install]
WantedBy=multi-user.targetGrafana 展示 Prometheus 数据
wget https://mirrors.tuna.tsinghua.edu.cn/grafana/yum/rpm/grafana-7.4.3-1.x86_64.rpm
yum install initscripts fontconfig
yum install -y grafana-7.4.3-1.x86_64.rpm
systemctl status grafana-server.service 启动后访问地址：ip:3000
初始用户名和密码都是admin
添加Prometheus数据源
Configuration -> Data Sources ->add data source -> Prometheus
新增Dashboard Linux基础数据展示
后输入自己喜欢的模板的代码
grafana模板: https://grafana.com/grafana/dashboards
这里我用的1233
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