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• 开源中间件

# Prometheushttps://iothub.org.cn/docs/middleware/
https://iothub.org.cn/docs/middleware/prometheus/prome-deploy/

1.部署Prometheus

1.1.修改配置文件

• 准备工作

# 创建目录
mkdir -p /prometheus/prometheus
mkdir -p /prometheus/prometheus/data
mkdir -p /prometheus/prometheus/rules
chmod 777 -R /prometheus/prometheus/dat# 创建配置文件
/prometheus/prometheus/prometheus.yml
touch prometheus.yml

• 修改配置文件

# 修改配置文件
/prometheus/prometheus/prometheus.yml# prometheus.yml：
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.alerting:alertmanagers:- static_configs:- targets:- 172.17.88.22:9093rule_files:- "rules/*.yml"scrape_configs:- job_name: prometheusstatic_configs:- targets: ['localhost:9090']labels:instance: prometheus- job_name: alertmanagerscrape_interval: 5sstatic_configs:- targets: ['172.17.88.22:9093']labels:instance: alert- job_name: centos-1static_configs:- targets: ['172.17.88.22:9100']labels:instance: node-1- job_name: centos-2static_configs:- targets: ['172.17.88.19:9100']labels:instance: node-2- job_name: centos-3static_configs:- targets: ['172.17.88.18:9100']labels:instance: node-3- job_name: docker-1static_configs:- targets: ['172.17.88.22:9601']labels:instance: node-1- job_name: docker-2static_configs:- targets: ['172.17.88.19:9601']labels:instance: node-2   - job_name: docker-3static_configs:- targets: ['172.17.88.18:9601']labels:instance: node-3     - job_name: redis-1static_configs:- targets: ['172.17.88.22:9121']labels:instance: redis-01    - job_name: redis-2static_configs:- targets: ['172.17.88.19:9121']labels:instance: redis-02    - job_name: redis-3static_configs:- targets: ['172.17.88.18:9121']labels:instance: redis-03- job_name: rabbitmq-elkstatic_configs:- targets: ['172.17.88.22:9419']labels:instance: mq-elk- job_name: rabbitmq-nodestatic_configs:- targets: ['172.17.88.19:9419']labels:instance: mq-node- job_name: postgres-1static_configs:- targets: ['172.17.88.22:9187']labels:instance: pg-1- job_name: postgres-2static_configs:- targets: ['172.17.88.19:9187']labels:instance: pg-2    - job_name: es-clusterstatic_configs:- targets: ['172.17.88.22:9114', '172.17.88.19:9114', '172.17.88.18:9114']labels:instance: es- job_name: mysqlstatic_configs:- targets: ['172.17.88.22:9104']labels:instance: mysqld- job_name: nginx-1static_configs:- targets: ['172.17.88.22:9913']labels:instance: nx-1- job_name: nginx-3static_configs:- targets: ['172.17.88.18:9913']labels:instance: nx-3- job_name: spring-boot-actuatormetrics_path: '/actuator/prometheus'scrape_interval: 5sstatic_configs:- targets: ['172.17.88.22:8888']labels:instance: spring-actuator- job_name: haproxyscrape_interval: 5sstatic_configs:- targets: ['172.17.88.18:9101']labels:instance: ha1- job_name: HikariCPscrape_interval: 5smetrics_path: '/actuator/prometheus'static_configs:- targets: ['172.17.88.22:28081']labels:instance: dbPool

1.2.配置告警规则

• 准备工作

# 创建目录
mkdir -p /prometheus/prometheus/rules# 创建配置文件
/prometheus/prometheus/rules/memory_over.yml
/prometheus/prometheus/rules/node_down.ymltouch memory_over.yml
touch node_down.yml

• 修改配置文件

# 修改memory_over.yml
/prometheus/prometheus/rules/memory_over.ymlgroups:
- name: examplerules:- alert: NodeMemoryUsageexpr: (1 - (node_memory_MemAvailable_bytes / (node_memory_MemTotal_bytes))) * 100 > 80for: 1mlabels:severity: warningannotations:summary: "{{$labels.instance}}: High Memory usage detected"description: "{{$labels.instance}}: Memory usage is above 80% (current value is:{{ $value }})"# 修改node_down.yml
/prometheus/prometheus/rules/node_down.ymlgroups:
- name: node-uprules:- alert: node-upexpr: up{job="centos-3"} == 0for: 15slabels:severity: 1team: nodeannotations:summary: "{{ $labels.instance }} 已停止运行!"description: "{{ $labels.instance }} 检测到异常停止！请重点关注！！！"

1.3.运行Docker

# 运行docker docker run -d --network host --name prometheus --restart=always \
-v /prometheus/prometheus:/etc/prometheus \
-v /prometheus/prometheus/data:/prometheus \
-e TZ=Asia/Shanghai \
prom/prometheus

# 访问地址http://47.95.238.119:9090

2.部署Alertmanager

2.1.修改配置文件

• 准备工作

# 创建目录
mkdir -p /prometheus/alertmanager/template
mkdir -p /prometheus/alertmanager/data
chmod 777 -R /prometheus/alertmanager/data# 创建配置文件
/prometheus/alertmanager/alertmanager.yml
touch alertmanager.yml

• 修改配置文件

# 修改配置文件
/prometheus/prometheus/alertmanager.yml# alertmanager.yml：
# 一条报警记录同时发给应用、邮箱、钉钉global:  # 全局配置项resolve_timeout: 5m #超时,默认5minsmtp_smarthost: 'smtp.163.com:465'smtp_from: 'hollysys_test@163.com'smtp_auth_username: 'hollysys_test@163.com'smtp_auth_password: 'NBJAGQUIDIJNAQDF'  # 授权码：NBJAGQUIDIJNAQDFsmtp_require_tls: falsetemplates:  # 定义模板信息- 'template/*.tmpl'   # 路径route:  # 路由group_by: ['alertname'] # 报警分组依据group_wait: 10s #组等待时间group_interval: 10s # 发送前等待时间repeat_interval: 1h #重复周期receiver: default # 默认警报接收者receivers:  # 警报接收者
- name: default #警报名称email_configs:- to: '{{ template "email.to" . }}'  #接收警报的emailhtml: '{{ template "email.to.html" . }}' # 模板headers: { Subject: "[WARN] 报警邮件test" }send_resolved: truewebhook_configs:- url: http://172.17.88.22:8888/monitor- url: http://172.17.88.22:8060/dingtalk/webhook1/sendsend_resolved: trueinhibit_rules:  # 告警抑制- source_match:severity: 'critical'target_match:severity: 'warning'equal: ['alertname', 'dev', 'instance']

2.2.Prometheus监控配置

# prometheus配置- job_name: alertmanagerscrape_interval: 5sstatic_configs:- targets: ['172.17.88.18:9093']labels:instance: alert

# 访问地址http://47.95.238.119:9093/metrics
curl '172.17.88.22:9093/metrics'

2.3.运行Docker

# 运行dockerdocker run -d --network host --name alertmanager --restart=always \
-v /prometheus/alertmanager:/etc/alertmanager \
-v /prometheus/alertmanager/data:/alertmanager \
prom/alertmanager

### 访问地址http://123.56.18.37:9093

3.部署Grafana

3.1.运行Docker

# 创建目录
mkdir -p /prometheus/grafana/data
chmod 777 -R /prometheus/grafana/data# 运行docker 
docker run -d --network host --name=grafana --restart=always \
-v /prometheus/grafana/data:/var/lib/grafana \
grafana/grafana

# 访问地址
http://47.95.238.119:3000# 默认账号密码
用户名：admin
密码：  admin

3.2. 配置数据源

3.3. 配置dashboard

• 官网模板

# 访问官网地址https://grafana.com/
https://grafana.com/grafana/dashboards

# 根据模板ID查找模板
ID: 8919
https://grafana.com/grafana/dashboards/8919

• 导入官网模板

# 访问Grafana地址http://123.56.18.37:3000/login

• 开源中间件

# Prometheushttps://iothub.org.cn/docs/middleware/
https://iothub.org.cn/docs/middleware/prometheus/prome-deploy/