Prometheus+grafana告警组件单节点部署验证 – 记忆角落

Prometheus+grafana告警组件单节点部署验证

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Prometheus+grafana告警组件单节点部署验证

此次部署是使用docker快速验证部署,主要验证了Prometheus+grafana告警推送邮件钉钉

使用了2台机器

IP 作用 备注
10.80.210.56 prometheus-master 主要作为主采集节点
10.80.210.122 prometheus-node 主要作为各种xxx-exporter的数据上报节点

prometheus-master部署

docker-compose.yml文件内容:

version: '3'

services:
  prometheus:
    image: prom/prometheus:v2.37.0
    container_name: prometheus
    hostname: prometheus
    restart: always
    user: "0"
    command:
      - '--config.file=/etc/prometheus/prometheus.yml'
      - '--storage.tsdb.path=/prometheus'
      - '--web.console.libraries=/usr/share/prometheus/console_libraries'
      - '--web.console.templates=/usr/share/prometheus/consoles'
      - '--storage.tsdb.retention.time=7d'
#      - '--web.external-url=prometheus'
    volumes:
      - ./prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
      - ./prometheus/rules/:/rules/
      - ./prometheus/data/:/prometheus/
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
    ports:
      - "9090:9090"
    networks:
      - monitor

  alertmanager:
    image: prom/alertmanager:v0.24.0
    container_name: alertmanager
    hostname: alertmanager
    restart: always
    user: '0'
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
      - ./alertmanager/alertmanager.yml:/etc/alertmanager/alertmanager.yml
      - ./alertmanager/template/:/etc/alertmanager/template/
      - ./alertmanager/data/:/alertmanager
    ports:
      - "9093:9093"
    networks:
      - monitor

  grafana:
    image: grafana/grafana:8.5.9
    container_name: grafana
    hostname: grafana
    restart: always
    user: "0"
    environment:
      GF_SECURITY_ADMIN_USER: xinsec
      GF_SECURITY_ADMIN_PASSWORD: DB.xinsec
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
#      - ./grafana/config:/etc/grafana
      - ./grafana/data:/var/lib/grafana
      - ./grafana/log:/var/log/grafana
    ports:
      - "3000:3000"
    networks:
      - monitor

  node-exporter:
    #image: quay.io/prometheus/node-exporter:v1.4.0-rc.0
    image: prom/node-exporter:v1.4.0-rc.0
    container_name: node-exporter
    hostname: node-exporter
    restart: always
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
    ports:
      - "9100:9100"
    networks:
      - monitor

  pushgateway:
    image: prom/pushgateway:v1.4.3
    container_name: pushgateway
    hostname: pushgateway
    restart: always
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
    ports:
      - "9091:9091"
    networks:
      - monitor

  cadvisor:
    image: google/cadvisor:latest
    container_name: cadvisor
    hostname: cadvisor
    restart: always
    volumes:
      - /:/rootfs:ro #给cAdvisor对root文件系统的只读权限,以便检测宿主机信息
      - /var/run:/var/run:rw
      - /sys:/sys:ro
      - /var/lib/docker/:/var/lib/docker:ro
      - /dev/disk/:/dev/disk:ro
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
    ports:
      - "18080:8080"
    networks:
      - monitor

  webhook-dingding:
    image: timonwong/prometheus-webhook-dingtalk:v1.4.0
    container_name: webhook-dingding
    hostname: webhook-dingding
    restart: always
    volumes:
      - /data/docker/prometheus/alertmanager/template/dingding.tmpl:/etc/alertmanager/template/dingding.tmpl
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
    ports:
      - "8060:8060"
    entrypoint: /bin/prometheus-webhook-dingtalk --template.file="/etc/alertmanager/template/dingding.tmpl" --ding.profile="webhook1=https://oapi.dingtalk.com/robot/send?access_token=xxx"
    networks:
      - monitor

networks:
  monitor:
    driver: bridge

说明:

使用了以下容器:
  1. prometheus
  2. alertmanager #告警模块
  3. pushgateway # 程序主动推送需要设置的组件,prometheus 默认是pull模式
  4. grafana # 展示数据界面
  5. node-exporter #采集虚拟机指标
  6. cadvisor #采集docker容器指标
  7. webhook-dingding #告警推送
目录结构如下:
[root@emqx prometheus]# tree
├── alertmanager
│   ├── alertmanager.yml
│   ├── data
│   └── template
│       ├── dingding.tmpl
│       └── email.tmpl
├── docker-compose.yml
├── grafana
│   ├── data
│   └── log
└── prometheus
    ├── data
    ├── prometheus.yml
    └── rules
        ├── mysql_rules.yml
        ├── node_rules.yml
        ├── redis_rules.yml
        └── vmware_rules.yml

每个容器映射文件:

prometheus

prometheus.yml:

$PWD/prometheus/prometheus.yml

# global模块是全局配置信息,它定义的内容会被scrape_configs模块中的每个Job单独覆盖
global:
  scrape_interval:     15s # pull 频率
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  scrape_timeout: 15s # 超时时间

# 告警模块,Prometheus Server发送请求给Alertmanager之前也会触发一次relabel操作
alerting:
  alertmanagers:
    - static_configs:
        - targets:
            - '10.80.210.56:9093'

# 告警的规则-定义告警文件
# Prometheus自定义的rule主要分为Recording rule和Alerting rule两类
rule_files:
  - "/rules/*"

# A scrape configuration containing exactly one endpoint to scrape:
scrape_configs:
  # Job名称很重要,Prometheus会将该名称作为Label追加到抓取的每条时序中
  - job_name: 'prometheus'
    static_configs: # 监控的主机地址与端口信息
      - targets: ['10.80.210.56:9090']
        labels:
          instance: 'prometheus程序'

  - job_name: 'pushgateway'
    static_configs:
      - targets: [ '10.80.210.56:9091' ]
        labels:
          instance: 'pushgateway程序'

  # #监控主机node信息,依赖插件node_exporter
  - job_name: 'node-exporter-服务器信息监控'
    static_configs:
      - targets: ['10.80.210.122:9100']
        labels:
          group: '测试docker'
          instance: '10.80.210.122-node-exporter'
      - targets: ['10.80.210.56:9100']
        labels:
          group: 'prometheus-master'
          instance: '10.80.210.56-node-exporter'

  - job_name: 'cadvisor-docker容器监控'
    scrape_interval: 120s
    static_configs:
      - targets: [ '10.80.210.56:18080']
        labels:
          group: 'prometheus-master'
          instance: '10.80.210.56-cadvisor'
      - targets: ['10.80.210.122:18080']
        labels:
          group: '测试docker'
          instance: '10.80.210.122-cadvisor'

  # 监控主机mysql信息,依赖插件mysql_exporter
  - job_name: 'mysql数据库信息监控'
    static_configs:
      - targets: ['10.80.210.122:9104']
        labels:
          instance: '10.80.210.122-redis'

  # 监控主机redis信息,依赖插件redis-exporter
  - job_name: 'redis缓存数据库信息监控'
    static_configs:
      - targets: ['10.80.210.122:9121']
        labels:
          instance: '10.80.210.122-redis服务'

  # 监控主机java程序信息,需要程序开放端口进行监控
  - job_name: 'prometheus-java-demo-java监控'
    metrics_path: '/sms/actuator/prometheus'
    static_configs:
      - targets: ['10.80.210.56:28084']
        labels:
          instance: 'prometheus-java-demo-java'

  # 修改nacos application.properties
  # 开启:management.endpoints.web.exposure.include=*
  - job_name: 'nacos信息监控'
    scrape_interval: 60s
    metrics_path: '/nacos/actuator/prometheus'
    static_configs:
      - targets: ['10.80.210.122:8848']
        labels:
          instance: '10.80.210.122-nacos'

  # 参考:https://blog.csdn.net/qq_37696855/article/details/123484069
  - job_name: 'jenkins监控'
    metrics_path: '/prometheus'
    scheme: http
    static_configs:
      - targets: [ '10.80.210.171' ]
        labels:
          instance: '10.80.210.171-jenkens服务'

  # 监控主机vmware信息,依赖插件pryorda/vmware_exporter
  - job_name: 'vmware_vcenter'
    metrics_path: '/metrics'
    scheme: http
    scrape_interval: 60s
    scrape_timeout: 30s
    static_configs:
      - targets:
          - '10.80.210.122:9272'
        labels:
          host_name: 10.80.211.77
      - targets:
          - '10.80.210.122:9273'
        labels:
          host_name: 10.80.210.80
      - targets:
          - '10.80.210.122:9274'
        labels:
          host_name: 10.80.210.100
      - targets:
          - '10.80.210.122:9275'
        labels:
          host_name: 10.80.210.180
      - targets:
          - '10.80.210.122:9276'
        labels:
          host_name: 10.80.210.200
      - targets:
          - '10.80.210.122:9277'
        labels:
          host_name: 10.80.210.210
rule告警规则文件

$PWD/prometheus/rules/

mysql_rules.yml
---
groups:
  - name: Mysql alert
    rules:
      - alert: MySQL 运行情况
        expr: mysql_up == 0
        for: 1m
        labels:
          severity: 严重
        annotations:
          summary: "{{ $labels.instance }} MySQL is down"
          description: "MySQL database is down."
node_rules.yml
groups:
  - name: Node alert
    rules:
      - alert: job节点状态宕机
        expr: up == 0
        for: 1m
        labels:
          severity: 严重
          nodename: "{{ $labels.app }}"
        annotations:
          summary: "{{ $labels.app }}已停止运行超过1分钟!"
          description: "节点 {{$labels.instance}} 宕机已超过1分钟请进行人工处理。"

      - alert: 服务器实例使用情况
        expr: node_load5 > 4
        for: 5m
        labels:
          severity: 警告
          nodename: "{{ $labels.app }}"
        annotations:
          summary: "服务器实例 {{ $labels.app }} 平均负载过高"
          description: "主机负载5分钟超过4."

      - alert: Memory 使用情况
        expr: (1 - (node_memory_MemAvailable_bytes / (node_memory_MemTotal_bytes))) * 100 > 90
        for: 5m # 告警持续时间,超过这个时间才会发送给alertmanager
        labels:
          severity: 警告
          nodename: "{{ $labels.app }}"
        annotations:
          summary: "服务器实例 {{ $labels.app }}内存使用率过高"
          description: "{{ $labels.app }}的内存使用率超过90%,当前使用率[{{ $value }}]."

      - alert: CPU 使用情况
        expr: 100-avg(irate(node_cpu_seconds_total{mode="idle"}[5m])) by(instance)*100 > 90
        for: 5m
        labels:
          severity: 警告
          nodename: "{{ $labels.app }}"
        annotations:
          summary: "服务器实例 {{ $labels.app }} cpu使用率过高"
          description: "{{ $labels.app }}的cpu使用率超过90%,当前使用率[{{ $value }}]."

      - alert: 磁盘容量
        expr: 100 - node_filesystem_avail_bytes{fstype=~"ext4|xfs",mountpoint="/"}  * 100 / node_filesystem_size_bytes{fstype=~"ext4|xfs",mountpoint="/"} > 80
        for: 5m
        labels:
          severity: 警告
          nodename: "{{ $labels.app }}"
        annotations:
          summary: "服务器实例 {{ $labels.app }} 磁盘使用率过高"
          description: "{{ $labels.app }}的disk使用率超过80%,当前使用率[{{ $value }}]."

      - alert: IO 性能情况
        expr: 100 - (avg(irate(node_disk_io_time_seconds_total[5m])) by(instance)* 100) < 20
        for: 2m
        labels:
          severity: 警告
          nodename: "{{ $labels.app }}"
        annotations:
          summary: "{{$labels.instance}} 流入磁盘IO使用率过高!"
          description: "{{$labels.instance }} 流入磁盘IO大于80%(目前使用:{{$value}})"

      - alert: TCP会话
        expr: node_netstat_Tcp_CurrEstab > 1000
        for: 1m
        labels:
          severity: 警告
          nodename: "{{ $labels.app }}"
        annotations:
          summary: "{{$labels.instance}} TCP_ESTABLISHED过高!"
          description: "{{$labels.instance }} TCP_ESTABLISHED大于1000%(目前使用:{{$value}}%)"

      - alert: Network 接收(receive)情况
        expr: ((sum(rate (node_network_receive_bytes_total{device!~'tap.*|veth.*|br.*|docker.*|virbr*|lo*'}[5m])) by (instance)) / 100) > 102400
        for: 5m
        labels:
          severity: 提醒
          nodename: "{{ $labels.app }}"
        annotations:
          summary: "{{$labels.instance}} 流入网络带宽过高!"
          description: "{{$labels.instance }} 流入网络带宽持续5分钟高于100M. RX带宽使用率{{$value}}"

      - alert: Network 传输(transmit)情况
        expr: ((sum(rate (node_network_transmit_bytes_total{device!~'tap.*|veth.*|br.*|docker.*|virbr*|lo*'}[5m])) by (instance)) / 100) > 102400
        for: 1m
        labels:
          severity: 提醒
          nodename: "{{ $labels.app }}"
        annotations:
          summary: "{{$labels.instance}} 流出网络带宽过高!"
          description: "{{$labels.instance }}流出网络带宽持续2分钟高于100M. RX带宽使用率{{$value}}"

redis_rules.yml
groups:
  # -- 数据库监控规则
  - name: Redis alert
    rules:
      - alert: Redis 内存情况
        # redis_memory_used_bytes: redis 已使用的字节
        # redis_config_maxmemory: redis 配置文件中最大使用内存字节 默认为0
        # expr: 100 * (redis_memory_used_bytes / redis_config_maxmemory) > 90
        expr: 100 * (redis_memory_used_bytes / 2147483648) > 90
        for: 1m
        labels:
          severity: 提醒
          status: 警告
        annotations:
          summary: "Redis {{ $labels.instance }} memory userd over 90"
          description: "Redis memory used over 90 duration above 1m"
vmware_rules.yml
groups:
  - name: Vmware status
    rules:
      - alert: EXSi主机状态
        expr: vmware_host_power_state ==0
        for: 5m
        labels:
          type: lost
          severity: 严重
        annotations:
          summary: "EXSi主机 {{$labels.host_name}} 失联"
          description: "EXSi任务 {{$labels.job}} 下的主机 {{$labels.host_name}} 已经超过五分钟没有数据了."
          monitor_url: "http://10.80.210.56:3000/d/q1yCDNbWz/vmware-stats?orgId=1"

      - alert: 虚拟机内存警告  #虚拟机内存警告模板
        expr: vmware_vm_mem_usage_average / 100 >= 80 and vmware_vm_mem_usage_average / 100 < 50
        for: 30m
        labels:
          severity: 警告
        annotations:
          summary: 虚拟机内存警告 (instance {{ $labels.instance }})
          description: 'High memory usage on {{ $labels.instance }}: {{ $value | printf "%.2f"}}%n  VALUE = {{ $value }}n  VMware_Name = {{ $labels.vm_name }}'

      - alert: 虚拟机内存严重不足 #虚拟机内存严重模板
        expr: vmware_vm_mem_usage_average / 100 >= 90
        for: 30m
        labels:
          severity: 严重
        annotations:
          summary: 虚拟机内存严重不足 (instance {{ $labels.instance }})
          description: 'High memory usage on {{ $labels.host_name }}: {{ $value | printf "%.2f"}}%n  VALUE = {{ $value }}n  VMware_Name = {{ $labels.vm_name }}'

      - alert: EXSi主机内存使用
        #esxi内存使用百分比模板
        expr: ((vmware_host_memory_usage / vmware_host_memory_max) * 100) > 85
        for: 5m
        labels:
          severity: 警告
        annotations:
          summary: "EXSi主机 {{ $labels.host_name }} 的内存使用率告警"
          description: "EXSi主机 {{ $labels.host_name }} 的内存使用率超过 85%, 当前值为: {{ $value }}"

      - alert: EXSi主机CPU使用情况
        expr: ((vmware_host_cpu_usage / vmware_host_cpu_max) * 100) > 80
        for: 5m
        labels:
          type: cpu
          severity: 警告
        annotations:
          summary: "EXSi主机 {{ $labels.host_name }} 的 CPU 使用率告警"
          description: "EXSi主机 {{ $labels.host_name }} CPU 使用率超过 80%, 当前值为: {{ $value }}"

image-20220814215051471

alertmanager

alertmanager.yml
global:
  # -邮件通知相关配置
  resolve_timeout: 5m
#  smtp_smarthost: 'smtp.139.com:465'
#  smtp_from: 'xxx@139.com'
#  smtp_auth_username: 'xxx@139.com'
#  # 授权码
#  smtp_auth_password: 'xxx'
#  # 不使用加密认证
#  smtp_require_tls: false

# 告警模板
templates:
  - "/etc/alertmanager/template/*.tmpl"

route:
  group_by: ['alertname']
  group_wait: 10s
  group_interval: 10s
  repeat_interval: 30m #30分钟重复一次
  receiver: 'ding-hook'

receivers:
#  - name: 'mail-receiver'
#    email_configs:
#      - to: 'xxx@qq.com'
#        html: '{{ template "email.to.html" .}}'
#        headers: { Subject: "[WARN]告警" }
#        send_resolved: true # 表示服务恢复后会收到恢复告警
  - name: 'ding-hook'
    webhook_configs:
      - url: 'http://10.80.210.56:8060/dingtalk/webhook1/send'
        send_resolved: true

# 告警抑制规则
inhibit_rules:
  - source_match:
      severity: 'critical'
    target_match:
      severity: 'warning'
    equal: ['alertname', 'dev', 'instance']
template告警模板
dingding.tmpl
{{ define "__subject" }}[{{ .Status | toUpper }}{{ if eq .Status "firing" }}:{{ .Alerts.Firing | len }}{{ end }}] {{ .GroupLabels.SortedPairs.Values | join " " }} {{ if gt (len .CommonLabels) (len .GroupLabels) }}({{ with .CommonLabels.Remove .GroupLabels.Names }}{{ .Values | join " " }}{{ end }}){{ end }}{{ end }}
{{ define "__alertmanagerURL" }}{{ .ExternalURL }}/#/alerts?receiver={{ .Receiver }}{{ end }}

{{ define "__text_alert_list" }}{{ range . }}
**告警程序**:{{ .Labels.job }}

**告警级别**:{{ .Labels.severity }} 级

**告警类型**:{{ .Labels.alertname }}

**故障主机**: {{ .Labels.instance }}

**告警主题**: {{ .Annotations.summary }}

**告警描叙**: {{ .Annotations.description }}

**告警时间**: {{ (.StartsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}

------------------------

{{ end }}{{ end }}

{{ define "__text_resolve_list" }}{{ range .  }}
**恢复程序**:{{ .Labels.alertname }}

**故障主机**: {{ .Labels.instance }}

**告警主题**:{{ .Annotations.summary }}

**恢复描叙**: {{ .Annotations.description }}

**告警时间**: {{ (.StartsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}

**恢复时间**: {{ (.EndsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}

------------------------

{{ end }}{{ end }}


{{ define "ding.link.title" }}{{ template "__subject" . }}{{ end }}
{{ define "ding.link.content" }}#### \[{{ .Status | toUpper }}{{ if eq .Status "firing" }}:{{ .Alerts.Firing | len }}{{ end }}\] **[{{ index .GroupLabels "alertname" }}]({{ template "__alertmanagerURL" . }})**
{{ if gt (len .Alerts.Firing) 0 -}}
![警报 图标](https://qn.199604.com/typoraImg/20220810120050.png)

**====侦测到{{ .Alerts.Firing | len  }}个故障====**

{{ template "__text_alert_list" .Alerts.Firing }}
{{- end }}
{{ if gt (len .Alerts.Resolved) 0 -}}
恢复列表:
{{ template "__text_resolve_list" .Alerts.Resolved }}
{{- end }}
{{- end }}

效果:

image-20220814162535568

email.tmpl
{{ define "email.to.html" }}
{{ if gt (len .Alerts.Firing) 0 }}{{ range .Alerts }}
@告警
告警程序: prometheus_alert <br>
告警级别: {{ .Labels.severity }} 级 <br>
告警类型: {{ .Labels.alertname }} <br>
故障主机: {{ .Labels.instance }} <br>
告警主题: {{ .Annotations.summary }} <br>
告警详情: {{ .Annotations.description }} <br>
触发时间: {{ .StartsAt.Format "2006-01-02 15:04:05" }} <br>
{{ end }}
{{ end }}
{{ if gt (len .Alerts.Resolved) 0 }}{{ range .Alerts }}
@恢复:
故障主机:{{ .Labels.instance }} <br>
告警主题:{{ .Annotations.summary }} <br>
恢复时间: {{ .EndsAt.Format "2006-01-02 15:04:05" }} <br>
{{ end }}
{{ end }}
{{ end }}

image-20220814215003299

prometheus-node部署

docker-compose.yml文件内容:

version: '3'

services:
  node-exporter:
    image: prom/node-exporter:v1.4.0-rc.0
    container_name: node-exporter
    hostname: node-exporter
    restart: always
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
    ports:
      - "9100:9100"
    networks:
      - monitor

  mysqld-exporter:
    image: prom/mysqld-exporter:v0.13.0
    container_name: mysqld-exporter
    hostname: mysqld-exporter
    restart: always
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
    environment:
      # 数据库账号:密码@ip:端口/
      DATA_SOURCE_NAME: user:passwd@(ip:port)/
    ports:
      - "9104:9104"
    networks:
      - monitor

  redis-exporter:
    image: bitnami/redis-exporter:1.43.0
    container_name: redis-exporter
    hostname: redis-exporter
    restart: always
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
    environment:
      redis.addr: redis://10.80.210.122:6379
      redis.password: abc123456
    command: #参考:https://github.com/bitnami/bitnami-docker-redis-exporter https://github.com/oliver006/redis_exporter
      - '--redis.addr=redis://10.80.210.122:6379'
      - '--redis.password=abc123456'
    ports:
      - "9121:9121"
    networks:
      - monitor

  cadvisor:
    image: google/cadvisor:latest
    container_name: cadvisor
    hostname: cadvisor
    restart: always
    volumes:
      - /:/rootfs:ro
      - /var/run:/var/run:rw
      - /sys:/sys:ro
      - /var/lib/docker/:/var/lib/docker:ro
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
    ports:
      - "18080:8080"
    networks:
      - monitor

  vmware-exporter-77:
    image: pryorda/vmware_exporter:v0.18.3
    container_name: vmware-exporter-77
    restart: unless-stopped
    ports:
      - '9272:9272'
    environment:
      VSPHERE_HOST: "10.80.211.77"
      VSPHERE_IGNORE_SSL: "True"
      VSPHERE_USER: "user"
      VSPHERE_PASSWORD: "passwd"
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
    networks:
      - monitor

networks:
  monitor:
    driver: bridge

说明:

使用了以下容器:
  1. node-exporter #采集虚拟机指标
  2. mysqld-exporter #mysql数据库采集
  3. redis-exporter # redis数据采集
  4. cadvisor #采集docker容器指标
  5. vmware-exporter #vm虚拟机采集

Grafana常用模板

服务器系统性能监控:8919

image-20220807145926338

微服务性能监控:4701 或 汉化:12856 或 SpringBoot监控:12900

image-20220807150026860

Docker环境性能监控:893

image-20220807150123573

nacos性能监控:13221

image-20220807150450831

mysql性能监控:9362

image-20220807150359831

nginx性能监控:9614

image-20220807150246390

neo4j性能监控:10371(企业版才支持)

image-20220807150552700

Redis监控:763

image-20220807151910393

tomcat监控:暂时忽悠

HikariCP数据源监控:6083/Druid数据源监控:11157

image-20220807154922411

image-20220807154938146

Jenkins监控:9964

image-20220809103518691

VMware 监控:11243

image-20220810172835004

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