Prometheus+Grafana搭建 - 学习笔记p

Prometheus+Grafana搭建

1.Prometheus介绍

prometheus是由谷歌研发的一款开源的监控软件，它通过安装在远程机器上的exporter，通过HTTP协议从远程的机器收集数据并存储在本地的时序数据库上

同时Prometheus后端用 golang语言开发，前端是 Grafana

2.Prometheus源码安装与启动配置

实验环境

192.168.0.223 Prometheus 服务端 centos 7.6

192.168.0.222 node_exporter 客户端 centos 7.6

下载Prometheus版本

[root@localhost ~]# wget https://mirrors.tuna.tsinghua.edu.cn/github-release/prometheus/prometheus/2.39.1%20_%202022-10-07/prometheus-2.39.1.linux-amd64.tar.gz

解压文件prometheus-2.39.1.linux-amd64.tar.gz 到/usr/local目录下

[root@localhost ~]# tar xf prometheus-2.39.1.linux-amd64.tar.gz -C /usr/local

prometheus-2.39.1.linux-amd64改名为prometheus

[root@localhost local]# mv prometheus-2.39.1.linux-amd64 prometheus

查看版本

[root@localhost prometheus]# ./prometheus --version

prometheus.yml 配置

# 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']

服务启动

指定配置文件启动

[root@localhost prometheus]# ./prometheus --config.file=prometheus.yml

访问：http://192.168.0.223:9090/

客户端安装node_exporter

下载node_exporter 安装文件

https://github.com/prometheus/node_exporter/releases/download/v1.1.2/node_exporter-1.1.2.linux-amd64.tar.gz

解压node_exporter-1.1.2.linux-amd64.tar.gz到 /usr/local/目录

[root@localhost ~]# tar xf node_exporter-1.1.2.linux-amd64.tar.gz -C /usr/local/

更改名字
[root@localhost ~]# mv node_exporter-1.1.2.linux-amd64/ node_exporter

启动node_exporter

# 直接启动
[root@VM_2-44 /usr/local/node_exporter]# ./node_exporter &

# 启动后会监听9100端口

# 添加为服务方式启动
[root@VM_2-44 ~]# vim /usr/lib/systemd/system/node_exporter.service
[Unit]
Description=node_exporter
After=network.target

[Service]
ExecStart=/usr/local/node_exporter/node_exporter
Restart=on-failure

[Install]
WantedBy=multi-user.target

# 启动node_exporter
systemctl daemon-reload
systemctl start node_exporter

普罗米修斯服务端配置文件添加监控项

切换到服务端服务器

[root@localhost /usr/local/prometheus]# vim 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:
scrape_configs:
- job_name: 'prometheus'
static_configs:
- targets: ['192.168.0.223:9090']

- job_name: 'linux'
static_configs:
- targets: ['192.168.0.222:9100'] # 多个用,分开

更改完配置重启prometheus服务

systemctl restart prometheus.service

查看监控

http://192.168.0.223:9090/targets?search=