基于Prometheus搭建监控平台

前言

准备软件包：

prometheus：prometheus-2.22.2.linux-amd64.tar.gz
grafana安装包：grafana-enterprise-7.3.4-1.x86_64.rpm
node_report：node_exporter-1.0.1.linux-amd64.tar.gz
mysqld-exporter：mysqld_exporter-0.12.1.linux-amd64.tar.gz
alertmanager：alertmanager-0.21.0.linux-amd64.tar.gz
钉钉告警插件：prometheus-webhook-dingtalk-1.4.0.linux-amd64.tar.gz

可以使用kill -HUP <prometheus's pid>的方式热加载prometheus的配置。

本文档只是简单的初步配置，不涉及高可用和微服务、容器云、日志监控。

配置server单节点

server节点：172.50.13.101
部署位置：/usr/local/prometheus/（建议部署在/usr/local/prometheus/prometheus/目录下）
配置文件：/usr/local/prometheus/prometheus.yml（建议放在/usr/local/prometheus/prometheus/目录下）
监听端口：19090
数据存储位置：/home/prometheus/data/（建议存放于/home/data/prometheus/目录下）
数据保留时间：15天

下载prometheus压缩包并解压，二进制文件可直接运行。

prometheus.service

将prometheus设置为service，并开机自启

vim /usr/lib/systemd/system/prometheus.service
文件内容见本文底部 -> 附录代码 -> prometheus.service
加载service：systemctl daemon-reload
启动：systemctl start prometheus
设置自启：systemctl enable prometheus

配置node节点

node节点：需要被监控的服务器
部署位置：/usr/local/prometheus/node_exporter/
监听端口：18080

下载node_exporter压缩包到目标服务器的部署位置
vim /usr/lib/systemd/system/node_exporter.service
文件内容见本文底部 -> 附录代码 -> node_exporter.service
加载service文件：systemctl daemon-reload
启动：systemctl start node_exporter
设置自启：systemctl enable node_exporter

配置mysql监控

在数据库中添加exporter账户

登录需要被监控的数据库
创建用户exporter：CREATE USER 'exporter'@'localhost' IDENTIFIED BY 'XXXXXXXX' WITH MAX_USER_CONNECTIONS 3;
授权：GRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'exporter'@'localhost';
刷新：flush privileges;

修改mysql_exporter的配置

添加/usr/local/prometheus/mysql_exporter/.my.cnf文件

[client]
user=exporter
password=xxxxxxxx

添加service

见附录代码中的mysql_exporter.service

配置grafana

安装grafana

下载rpm安装包后直接yum安装。

添加prometheus数据源

进入grafana的web界面，添加prometheus的数据源。

导入模板

mysql主题的ID：7362

node主题ID：13105

踩坑

问题1：添加mysql的exporter后，prometheus的web页面能看到mysql的监控数据，但是grafana里面添加不了prometheus的数据源
- 解决：
  - 试试其它mysql dashboard的ID
  - 自己创建panel。
- 原因：并没有适配Prometheus
问题2：grafana中的MySQL仪表盘有部分没有数据：
- 解决：更改node_exporter和mysql_exporter的instance为一致

官方Dashboard资源

https://grafana.com/grafana/dashboards

监控告警

告警服务在172.50.13.102
部署位置：/usr/local/prometheus/alertmanager/
数据存储路径：/home/data/prometheus/alertmanager/
监听端口：18081

配置alertmanager

./alertmanager --storage.path=/home/data/prometheus/alertmanager/ --web.listen-address=:18081 --config.file=/usr/local/prometheus/alertmanager/alertmanager.yml --data.retention=120h --web.external-url=http://172.50.13.102:18081 &

storage.path：数据存储路径
web.listen-address：监听端口
config.file：配置文件路径
data.retention：数据存储保留时长
web.external-url：web访问的url

配置prometheus告警规则

关联alertmanager：见prometheus.yml中的alerting
指定告警规则文件的路径：见prometheus.yml中的rule_files

配置钉钉告警机器人

/usr/local/prometheus/prometheus-webhook-dingtalk/prometheus-webhook-dingtalk --ding.profile=webhook1=https://oapi.dingtalk.com/robot/send?access_token=钉钉token &

附录代码

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: ['172.50.13.102:18081']

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"
  - "alertrules/*_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:19090']

  - job_name: '非生产'
    file_sd_configs:
      - files: ['/usr/local/prometheus/sd_configs/noGroup*.yml']
        refresh_interval: 10s

  - job_name: '生产mysql'
    file_sd_configs:
      - files: ['/usr/local/prometheus/sd_configs/mysql/product*.yml']
        refresh_interval: 10s

  - job_name: '非生产mysql'
  	file_sd_configs:
      - files: ['/usr/local/prometheus/sd_configs/mysql/noproduct*.yml']
        refresh_interval: 10s

  - job_name: '生产服务器'
    file_sd_configs:
      - files: ['/usr/local/prometheus/sd_configs/product*.yml']
        refresh_interval: 10s
  - job_name: '物理机'
    file_sd_configs:
      - files: ['/usr/local/prometheus/sd_configs/wuli*.yml']
        refresh_interval: 10s

alertmanager.yml

global:
  resolve_timeout: 5m

route:
  group_by: [alertname]
  group_wait: 10s
  group_interval: 10s
  repeat_interval: 1h
  receiver: webhook
receivers:
- name: webhook
  webhook_configs:
  - url: 'http://172.50.13.102:8060/dingtalk/webhook1/send'
    send_resolved: true

prometheus.service

[Unit]
Description=https://prometheus.io
Documentation=https://prometheus.io

[Service]
Restart=on-failure
ExecStart=/usr/local/prometheus/prometheus/ \
    --storage.tsdb.path=/home/prometheus/data/ \
    --config.file=/usr/local/prometheus/prometheus.yml \
    --web.listen-address=:19090 \
    --storage.tsdb.retention=15d

[Install]
WantedBy=multi-user.target

node_exporter.service

[Unit]
Description=https://prometheus.io

[Service]
Restart=on-failure
ExecStart=/usr/local/prometheus/node_exporter/node_exporter --web.listen-address 0.0.0.0:18080

[Install]
WantedBy=multi-user.target

mysql_exporter.service

[Unit]
Description=https://prometheus.io

[Service]
Restart=on-failure
ExecStart=/usr/local/prometheus/mysqld_exporter/mysqld_exporter \
	--web.listen-address 0.0.0.0:9104 \
	--config.my-cnf=/usr/local/prometheus/mysqld_exporter/.my.cnf

[Install]
WantedBy=multi-user.target

alertmanager.service

告警规则-内存、硬盘、CPU

groups:
- name: mem
  rules:
  - alert : mem
    expr: (1 - (node_memory_MemAvailable_bytes / (node_memory_MemTotal_bytes)))* 100 > 95
    for: 5m
    labels:
      severity: critical
    annotations:
      description: "{{ $labels.job }} {{ $labels.instance }} 节点的内存使用率超过95%已持续5分钟！"
      summary: "{{ $labels.instance }} 内存使用率超标！ "

- name: disk
  rules:
  - alert : disk
    expr: (node_filesystem_size_bytes{fstype=~"ext.*|xfs",mountpoint !~".*pod.*"}-node_filesystem_free_bytes{fstype=~"ext.*|xfs",mountpoint !~".*pod.*"}) *100/(node_filesystem_avail_bytes {fstype=~"ext.*|xfs",mountpoint !~".*pod.*"}+(node_filesystem_size_bytes{fstype=~"ext.*|xfs",mountpoint !~".*pod.*"}-node_filesystem_free_bytes{fstype=~"ext.*|xfs",mountpoint !~".*pod.*"})) > 95
    for: 5m
    labels:
      severity: warning
    annotations:
      description: "{{ $labels.job }} {{ $labels.instance }} 节点的硬盘使用率超过95%已持续5分钟！"
      summary: "{{ $labels.instance }} 硬盘空间使用率已超过95%！ "

- name: cpu
  rules:
  - alert : cpu
    expr: ((1- sum(increase(node_cpu_seconds_total{mode="idle"}[5m])) by (instance)/sum(increase(node_cpu_seconds_total[5m])) by (instance)) * 100) >  70
    for: 5m
    labels:
      severity: warning
    annotations:
      description: "{{ $labels.job }} {{ $labels.instance }} 节点的CPU使用率超过70%已持续5分钟！"
      summary: "{{ $labels.instance }} CPU使用率已超过70！ "

告警规则-主机存活

groups:
- name: UP
  rules:
  - alert : node
    expr: up == 0
    for: 1m
    labels:
      severity: critical
    annotations:
      description: "{{ $labels.job }} {{ $labels.instance }} 节点断联已超过1分钟！"
      summary: "{{ $labels.instance }} down "

posted @ 2021-03-08 11:01 花酒锄作田阅读(151) 评论(0) 编辑收藏举报

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基于Prometheus搭建监控平台

前言

配置server单节点

prometheus.service

配置node节点

配置mysql监控

在数据库中添加exporter账户

修改mysql_exporter的配置

添加service

相关参考资料

配置grafana

安装grafana

添加prometheus数据源

导入模板

踩坑

官方Dashboard资源

监控告警

配置alertmanager

配置prometheus告警规则

配置钉钉告警机器人

附录代码

prometheus.yml

alertmanager.yml

prometheus.service

node_exporter.service

mysql_exporter.service

alertmanager.service

告警规则-内存、硬盘、CPU

告警规则-主机存活

公告