部署prometheus、grafana、alertmanager

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所属分类:linux技术
摘要

简介:由于资源有限,本实验用了两台机器https://prometheus.io/download/​ mkdir -p /data/prometheus

简介:由于资源有限,本实验用了两台机器

  1. 监控端:部署prometheus、grafana、alertmanager
  2. 被监控端:node_exporter、mysqld_exporter

一. 部署promethus

1. 下载

https://prometheus.io/download/

2. 解压

​ mkdir -p /data/prometheus

​ tar -zxvf /root/prometheus-2.42.0.linux-amd64.tar.gz -C /data/

​ cd /data

​ mv prometheus-2.42.0.linux-amd64/ prometheus

3. 部署

  • 创建prometheus用户

​ useradd -s /sbin/nologin -M prometheus

​ mkdir -p /data/database/prometheus

​ chown -R prometheus:prometheus /data/database/prometheus/

  • 配置systemctl启动项

​ vim /etc/systemd/system/prometheus.service

[Unit] Description=Prometheus Documentation=https://prometheus.io/ After=network.target [Service] Type=simple User=prometheus ExecStart=/data/prometheus/prometheus --web.enable-lifecycle --config.file=/data/prometheus/prometheus.yml --storage.tsdb.path=/data/database/prometheus Restart=on-failure [Install] WantedBy=multi-user.target

4. 加载配置&启动服务

​ systemctl daemon-reload

​ systemctl start prometheus

​ systemctl status prometheus

​ systemctl enable prometheus

  • 访问web页面,IP:9090

  • 查看到监控的数据,IP:9090/metrics

二. 监控linux主机

1. 下载node_exporter

​ wget https://github.com/prometheus/node_exporter/releases/download/v1.5.0/node_exporter-1.5.0.linux-amd64.tar.gz

2.解压

​ tar -zxvf node_exporter-1.5.0.linux-amd64.tar.gz -C /data/

​ mv /data/node_exporter-1.5.0.linux-amd64/ /data/node_exporter

3. 配置systemctl启动项

​ vim /etc/systemd/system/node_exporter.service

[Unit] Description=node_exporter [Service] ExecStart=/data/source.package/node_exporter-1.1.2.linux-amd64/node_exporter ExecReload=/bin/kill -HUP $MAINPID KillMode=process Restart=on-failure [Install] WantedBy=multi-user.target

4. 加载配置&启动服务

​ systemctl daemon-reload

​ systemctl start node_exporter.service

​ systemctl status node_exporter.service

​ systemctl enable node_exporter.service

  • 查看到被监控的数据,IP:9100/metrics

5. 监控端配置

  • 在主配置文件最后加上下面三行

    vim /data/prometheus/prometheus.yml

- job_name: 'agent1' #取一个job名称来代表被监控的机器     static_configs:     - targets: ['192.168.1.1:9100'] # 这里改成被监控机器的IP,后面端口接9100

  • 测试prometheus.yaml文件有无报错
[root@VM-16-2-centos prometheus]# ./promtool check config prometheus.yml Checking prometheus.yml  SUCCESS: prometheus.yml is valid prometheus config file syntax

6. 重新加载prometheus配置文件

  • curl -X POST http://127.0.0.1:9090/-/reload,打开prometheus页面输入up查看是不是有对应的数据了

    部署prometheus、grafana、alertmanager

  • 回到web管理界面 ——>点——>点Targets ——>可以看到多了一台监控目标

三. 监控mysql

1. 下载mysqld_exporter

​ wget https://github.com/prometheus/mysqld_exporter/releases/download/v0.14.0/mysqld_exporter-0.14.0.linux-amd64.tar.gz2

2. 解压

​ tar -zxvf mysqld_exporter-0.14.0.linux-amd64.tar.gz -C /data/

​ mv /data/mysqld_exporter-0.14.0.linux-amd64/ /data/mysqld_exporter

[root@VM-12-2-centos ~]# ls /data/mysqld_exporter/ LICENSE  mysqld_exporter  NOTICE

3. 安装mariadb数据库,并授权

​ yum -y install mariadb-server -y

​ systemctl start mariadb

[root@VM-12-2-centos ~]# mysql Welcome to the MariaDB monitor.  Commands end with ; or g. Your MariaDB connection id is 2 Server version: 5.5.68-MariaDB MariaDB Server  Copyright (c) 2000, 2018, Oracle, MariaDB Corporation Ab and others.  Type 'help;' or 'h' for help. Type 'c' to clear the current input statement.  MariaDB [(none)]> MariaDB [(none)]> grant select,replication client,process ON *.* to 'mysql_monito'@'localhost' identified by '123'; Query OK, 0 rows affected (0.00 sec)  MariaDB [(none)]> MariaDB [(none)]> flush privileges; Query OK, 0 rows affected (0.00 sec)  MariaDB [(none)]> MariaDB [(none)]> exit Bye

4. 启动

​ nohup /usr/local/mysqld_exporter/mysqld_exporter --config.my-cnf=/usr/local/mysqld_exporter/.my.cnf &

5. 监控端配置

​ vim /data/prometheus/prometheus.yml

  - job_name: 'mysql' #取一个job名称来代表被监控的机器     static_configs:       - targets: ['192.168.1.1:9104'] # 这里改成被监控机器的IP,后面端口接9104

6. 重启prometheus

​ systemctl restart prometheus

  • 回到web管理界面 ——>点——>点Targets ——>可以看到多了一台监控目标

部署prometheus、grafana、alertmanager

四. 部署grafana

1. 下载

​ wget https://dl.grafana.com/enterprise/release/grafana-enterprise-9.3.6.linux-amd64.tar.gz

2. 解压

​ tar -zxvf grafana-enterprise-9.3.6.linux-amd64.tar.gz -C /data

​ mv grafana-9.3.6/ grafana

3. 修改初始化文件

  • 备份

​ cp /data/grafana/conf/defaults.ini /data/grafana/conf/defaults.ini.bak

  • 修改

​ vim /data/grafana/conf/defaults.ini

data = /data/database/grafana/data logs = /data/database/grafana/log plugins = /data/database/grafana/plugins provisioning = /data/grafana/conf/provisioning/

4. 配置systemctl启动项

​ vim /etc/systemd/system/grafana-server.service

[Unit] Description=Grafana After=network.target [Service] User=grafana Group=grafana Type=notify ExecStart=/data/grafana/bin/grafana-server -homepath /data/grafana/ Restart=on-failure [Install] WantedBy=multi-user.target

5. 加载配置&启动服务

systemctl daemon-reload

systemctl start grafana-server.service

systemctl status grafana-server.service

systemctl enable grafana-server.service

  • web页面:ip+3000

    • 默认账号密码都是admin admin,登陆时需要修改密码。

部署prometheus、grafana、alertmanager

6. 配置grafana

  • 添加prometheus监控数据及模板,将grafana和prometheus关联起来,也就是在grafana中添加添加数据源

部署prometheus、grafana、alertmanager

  • 点击:左边栏Dashboards“+”号内import->输入“8919”->load->更改name为“Prometheus Node”->victoriaMetrics选择刚创建的数据源“prometheus”

    部署prometheus、grafana、alertmanager

  • 设置完成后,点击"Dashboards",->"victoriaMetrics"->"Prometheus Node"

    部署prometheus、grafana、alertmanager

五、部署alertmanager

1. 下载

​ https://prometheus.io/download/

2. 解压

​ tar -zxvf alertmanager-0.25.0.linux-amd64.tar.gz -C /data/

​ cd /data

​ mv alertmanager-0.25.0.linux-amd64/ alertmanager

​ chown -R prometheus:prometheus /data/alertmanager

​ mkdir -p /data/alertmanager/data

3. 配置报警系统altermanger服务

vim /data/alertmanager/alertmanager.yml(最初配置)

global:   resolve_timeout: 5m route:   group_by: ['alertname']   group_wait: 10s   group_interval: 10s   repeat_interval: 1h   receiver: 'web.hook' receivers: - name: 'web.hook'   webhook_configs:   - url: 'http://127.0.0.1:5001/' inhibit_rules:   - source_match:       severity: 'critical'     target_match:       severity: 'warning'     equal: ['alertname', 'dev', 'instance']

4. 配置systemctl启动项

​ vim /etc/systemd/system/alertmanager.service

[Unit] Description=Alertmanager After=network.target [Service] Type=simple User=prometheus ExecStart=/data/alertmanager/alertmanager --config.file=/data/alertmanager/alertmanager.yml --storage.path=/data/alertmanager/data Restart=on-failure [Install] WantedBy=multi-user.target

5. 加载配置&启动服务

​ systemctl daemon-reload

​ systemctl start alertmanager.service

​ systemctl status alertmanager.service

​ systemctl enable alertmanager.service

6. 配置promethues.yaml

  • 备份

​ cp /data/prometheus/prometheus.yml /data/prometheus/prometheus.yml.bak

  • 编辑

​ vim /data/prometheus/prometheus.yml (job_name中有几台监控的机器就写几行)

alerting:   alertmanagers:   - static_configs:     - targets:       - 192.168.1.1:9093  rule_files:   - "/data/database/prometheus/rules/*.rules"  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: ['192.168.1.1:9090']     - job_name: 'node'     static_configs:     - targets: ['192.168.1.2:9100']     - targets: ['192.168.1.3:9100']     - targets: ['192.168.1.4:9100']

  • 测试prometheus.yaml文件有无报错(可以检测出rules文件有无报错)

​ cd /data/prometheus

​ ./promtool check config prometheus.yml

[root@VM-16-2-centos prometheus]# ./promtool check config prometheus.yml Checking prometheus.yml   SUCCESS: 1 rule files found  SUCCESS: prometheus.yml is valid prometheus config file syntax  Checking /data/database/prometheus/rules/node.rules   SUCCESS: 21 rules found

7. 创建prometheus的规则文件

​ mkdir /data/database/prometheus/rules

​ vim /data/database/prometheus/rules/node.rules

groups:   - name: Node-rules     rules:     - alert: Node-Down       expr: up{job="node1"} == 0       for: 1m       labels:         severity: 严重警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{$labels.instance }} 节点已经宕机 1分钟"         description: "节点宕机"      - alert: Node-CpuHigh       expr: (1 - avg by (instance) (irate(node_cpu_seconds_total{job="node",mode="idle"}[5m]))) * 100 > 80       for: 1m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} cpu使用率超 80%"         description: "CPU 使用率为 {{ $value }}%"      - alert: Node-CpuIowaitHigh       expr: avg by (instance) (irate(node_cpu_seconds_total{job="node",mode="iowait"}[5m])) * 100 > 80       for: 1m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} CPU iowait 使用率超过 80%"         description: "CPU iowait 使用率为 {{ $value }}%"      - alert: Node-MemoryHigh       expr: (1 - node_memory_MemAvailable_bytes{job="node"} / node_memory_MemTotal_bytes{job="node"}) * 100 > 80       for: 1m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Memory使用率超过 80%"         description: "Memory 使用率为 {{ $value }}%"      - alert: Node-Load5High       expr: node_load5 > (count by (instance) (node_cpu_seconds_total{job="node",mode='system'})) * 1.2       for: 1m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Load(5m)过高,超出cpu核数1.2倍"         description: "Load(5m)过高,超出cpu核数 1.2倍"      - alert: Node-DiskRootHigh       expr: (1 - node_filesystem_avail_bytes{job="node",fstype=~"ext.*|xfs",mountpoint ="/"} / node_filesystem_size_bytes{job="node",fstype=~"ext.*|xfs",mountpoint ="/"}) * 100 > 80       for: 10m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Disk(/ 分区) 使用率超过 80%"         description: "Disk(/ 分区) 使用率为 {{ $value }}%"      - alert: Node-DiskDataHigh       expr: (1 - node_filesystem_avail_bytes{job="node",fstype=~"ext.*|xfs",mountpoint ="/data"} / node_filesystem_size_bytes{job="node",fstype=~"ext.*|xfs",mountpoint ="/data"}) * 100 > 80       for: 10m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Disk(/data 分区) 使用率超过 80%"         description: "Disk(/data 分区) 使用率为 {{ $value }}%"      - alert: Node-DiskReadHigh       expr: irate(node_disk_read_bytes_total{job="node"}[5m]) > 20 * (1024 ^ 2)       for: 1m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Disk 读取字节数速率超过 20 MB/s"         description: "Disk 读取字节数速率为 {{ $value }}MB/s"      - alert: Node-DiskWriteHigh       expr: irate(node_disk_written_bytes_total{job="node"}[5m]) > 20 * (1024 ^ 2)       for: 1m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Disk 写入字节数速率超过 20 MB/s"         description: "Disk 写入字节数速率为 {{ $value }}MB/s"      - alert: Node-DiskReadRateCountHigh       expr: irate(node_disk_reads_completed_total{job="node"}[5m]) > 3000       for: 1m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Disk iops 每秒读取速率超过 3000 iops"         description: "Disk iops 每秒读取速率为 {{ $value }}"      - alert: Node-DiskWriteRateCountHigh       expr: irate(node_disk_writes_completed_total{job="node"}[5m]) > 3000       for: 1m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Disk iops 每秒写入速率超过 3000 iops"         description: "Disk iops 每秒写入速率为 {{ $value }}"      - alert: Node-InodeRootUsedPercentHigh       expr: (1 - node_filesystem_files_free{job="node",fstype=~"ext4|xfs",mountpoint="/"} / node_filesystem_files{job="node",fstype=~"ext4|xfs",mountpoint="/"}) * 100 > 80       for: 10m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Disk (/ 分区) inode 使用率超过 80%"         description: "Disk (/ 分区) inode 使用率为 {{ $value }}%"      - alert: Node-InodeBootUsedPercentHigh       expr: (1 - node_filesystem_files_free{job="node",fstype=~"ext4|xfs",mountpoint="/data"} / node_filesystem_files{job="node",fstype=~"ext4|xfs",mountpoint="/data"}) * 100 > 80       for: 10m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Disk (/data 分区) inode 使用率超过 80%"         description: "Disk (/data 分区) inode 使用率为 {{ $value }}%"      - alert: Node-FilefdAllocatedPercentHigh       expr: node_filefd_allocated{job="node"} / node_filefd_maximum{job="node"} * 100 > 80       for: 10m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Filefd 打开百分比超过 80%"         description: "Filefd 打开百分比为 {{ $value }}%"      - alert: Node-NetworkNetinBitRateHigh       expr: avg by (instance) (irate(node_network_receive_bytes_total{device=~"eth0|eth1|ens33|ens37"}[1m]) * 8) > 20 * (1024 ^ 2) * 8       for: 3m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Network 接收比特数速率超过 20MB/s"         description: "Network 接收比特数速率为 {{ $value }}MB/s"      - alert: Node-NetworkNetoutBitRateHigh       expr: avg by (instance) (irate(node_network_transmit_bytes_total{device=~"eth0|eth1|ens33|ens37"}[1m]) * 8) > 20 * (1024 ^ 2) * 8       for: 3m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Network 接收比特数速率超过 20MB/s"         description: "Network 发送比特数速率为 {{ $value }}MB/s"      - alert: Node-NetworkNetinPacketErrorRateHigh       expr: avg by (instance) (irate(node_network_receive_errs_total{device=~"eth0|eth1|ens33|ens37"}[1m])) > 15       for: 3m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Network 接收错误包速率超过 15个/秒"         description: "Network 接收错误包速率为 {{ $value }}个/秒"      - alert: Node-NetworkNetoutPacketErrorRateHigh       expr: avg by (instance) (irate(node_network_transmit_packets_total{device=~"eth0|eth1|ens33|ens37"}[1m])) > 15       for: 3m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Network 发送错误包速率超过 15个/秒"         description: "Network 发送错误包速率为 {{ $value }}个/秒"      - alert: Node-ProcessBlockedHigh       expr: node_procs_blocked{job="node"} > 10       for: 10m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} Process 当前被阻塞的任务的数量超过 10个"         description: "Process 当前被阻塞的任务的数量为 {{ $value }}个"      - alert: Node-TimeOffsetHigh       expr: abs(node_timex_offset_seconds{job="node"}) > 3 * 60       for: 2m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} 节点的时间偏差超过 3m"         description: "节点的时间偏差为 {{ $value }}m"      - alert: Node-TCPconnection       expr: node_sockstat_TCP_tw{job="node"} > 15000       for: 2m       labels:         severity: 警告         instance: "{{ $labels.instance }}"       annotations:         summary: "{{ $labels.instance }} TCP 等待关闭的TCP连接数TIME_WAIT过高大于15000"         description: "TCP 等待关闭的TCP连接数为 {{ $value }}"

8. 配置alertmanager邮件报警

​ vim /data/alertmanager/alertmanager.yml

# 全局配置项 global:   resolve_timeout: 5m #处理超时时间,默认为5min   smtp_smarthost: 'smtp.qq.com:465' #邮箱smtp服务器代理   smtp_from: '[email protected]' #发送邮箱名称   smtp_auth_username: '[email protected]' #邮箱名称   smtp_auth_password: 'asdklfjwiehrqc' #邮箱授权码   smtp_require_tls: false   smtp_hello: 'qq.com'

# 定义报警模板 templates:   - '/data/alertmanager/email.tmpl'  # 定义路由树信息 route:   group_by: ['alertname'] #报警分组依据   group_wait: 10s #最初即第一次等待多久时间发送一组警报的通知   group_interval: 10s #在发送新警报前的等待时间   repeat_interval: 10m #发送重复警报的周期 对于email配置中,此项不可以设置过低,否则将会由于邮件发送太多频繁,被smtp服务器拒绝   receiver: 'email' #发送警报的接收者的名称,以下receivers name的名称

# 定义警报接收者信息 receivers:   - name: 'email' # 警报     email_configs: # 邮箱配置     - to: '[email protected], [email protected]' #添加多个邮箱中间用,+空格分开       html: '{{ template "email.html" . }}'       send_resolved: true  # 一个inhibition规则是在与另一组匹配器匹配的警报存在的条件下,使匹配一组匹配器的警报失效的规则。两个警报必须具有一组相同的标签。 inhibit_rules:   - source_match:       severity: 'critical'     target_match:       severity: 'warning'     equal: ['alertname', 'dev', 'instance']

9. 创建自定义报警模板

​ vim /data/alertmanager/email.tmpl

{{ define "email.html" }} {{- if gt (len .Alerts.Firing) 0 -}} {{- range $index, $alert := .Alerts -}}  <pre> ======== 异常告警 ======== 告警类型:{{ $alert.Labels.alertname }} 告警级别:{{ $alert.Labels.severity }} 告警实例:{{ $alert.Labels.instance }} 告警应用: {{ $alert.Labels.name }} 告警信息:{{ $alert.Annotations.summary }} 告警详情:{{ $alert.Annotations.description }} 告警时间:{{ $alert.StartsAt.Local }} ========== END ==========  </pre> {{- end }} {{- end }} {{- if gt (len .Alerts.Resolved) 0 -}} {{- range $index, $alert := .Alerts -}}  <pre> ======== 告警恢复 ======== 告警类型:{{ $alert.Labels.alertname }} 告警级别:{{ $alert.Labels.severity }} 告警实例:{{ $alert.Labels.instance }} 告警详情:{{ $alert.Annotations.description }} 告警应用: {{ $alert.Labels.name }} 当前状态: OK 告警时间:{{ $alert.StartsAt.Local }} 恢复时间:{:{ $alert.EndsAt.Local }} ========== END ==========  </pre> {{- end }} {{- end }} {{- end }}

10. 重启服务

​ systemctl restart prometheus.service

​ systemctl restart alertmanager.service

11. 页面验证

  • web页面:ip+9090上点击alert选项查看是否存在规则 部署prometheus、grafana、alertmanager

12. 邮件告警

部署prometheus、grafana、alertmanager