关于运维:生产环境安装PrometheusGrafana

装置 Prometheus

wget https://github.com/prometheus…

tar -zxvf prometheus-2.34.0.linux-amd64.tar.gz
mv prometheus-2.34.0.linux-amd64 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:
           - localhost:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
        - "rules/host_rules.yml"
  # - "first_rules.yml"
  # - "second_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:9090"]
  - job_name: 'agent-web01'
    static_configs:
      - targets: ['172.31.32.104:9100']
  - job_name: 'agent-web02'
    static_configs:
      - targets: ['172.31.29.223:9100']
  - job_name: 'java'
    static_configs:
      - targets: ['172.31.29.223:8100']
    metrics_path: '/actuator/prometheus'

创立规定

mkdir -p /root/prometheus/rules

cat host_rules.yml

groups:
- name: 系统资源告警规定
  rules:
  - alert: CPU 使用率告警
    expr: 100 - (avg by (instance)(irate(node_cpu_seconds_total{mode="idle"}[1m]) )) * 100 > 80
    for: 1m
    labels:
      user: prometheus
      severity: warning
    annotations:
      description: "服务器: CPU 应用超过 80%！(以后值: {{ humanize $value}}%)"
  - alert: 内存使用率告警
    expr: (node_memory_MemTotal_bytes - (node_memory_MemFree_bytes+node_memory_Buffers_bytes+node_memory_Cached_bytes)) / node_memory_MemTotal_bytes * 100 > 80 
    for: 1m
    labels:
      user: prometheus
      severity: warning
    annotations:
      description: "服务器: 内存应用超过 80%！(以后值: {{ humanize $value}}%)"
  - alert: 磁盘告警规定
    expr: 100 - (node_filesystem_free_bytes{mountpoint="/",fstype=~"ext4|xfs"} / node_filesystem_size_bytes{fstype=~"ext4|xfs"} * 100) > 70
    for: 1m
    labels:
      user: prometheus
      severity: warning
    annotations:
      description: "服务器: 磁盘应用超过 70%！(以后值: {{ humanize $value}}%)"

启动

nohup ./prometheus &

效果图

装置 alertmanager

wget https://github.com/prometheus…

tar -zxvf alertmanager-0.24.0.linux-amd64.tar.gz

mv alertmanager-0.24.0.linux-amd64 alertmanager

vim alertmanager.yml

具体能够去企业微信后盾查找相干参数

global:
  resolve_timeout: 2m
  wechat_api_url: 'https://qyapi.weixin.qq.com/cgi-bin/'
  wechat_api_secret: '< 你的企业微信 secret>'
  wechat_api_corp_id: '< 你的企业微信 id>'

route:
  group_by: ['alertname']
  group_wait: 10s
  group_interval: 10s
  repeat_interval: 1h
  receiver: 'wechat'
receivers:
- name: 'wechat'
  wechat_configs:
  - send_resolved: true
    to_party: '1'
    agent_id: '< 你的企业微信利用 id>'
templates:
  - '/alertmanager/*.tmpl'

yaml 语法查看

./amtool check-config alertmanager.yml

企业微信报警模板

cat wechat.tmpl

 {{define "wechat.default.message"}}
{{- if gt (len .Alerts.Firing) 0 -}}
{{- range $index, $alert := .Alerts -}}
======== 异样告警 ========
告警名称：{{$alert.Labels.alertname}}
告警级别：{{$alert.Labels.severity}}
告警机器：{{$alert.Labels.instance}} {{$alert.Labels.device}}
告警详情：{{$alert.Annotations.summary}}
告警工夫：{{$alert.StartsAt.Format "2006-01-02 15:04:05"}}
========== END ==========
{{- end}}
{{- end}}
{{- if gt (len .Alerts.Resolved) 0 -}}
{{- range $index, $alert := .Alerts -}}
======== 告警复原 ========
告警名称：{{$alert.Labels.alertname}}
告警级别：{{$alert.Labels.severity}}
告警机器：{{$alert.Labels.instance}}
告警详情：{{$alert.Annotations.summary}}
告警工夫：{{$alert.StartsAt.Format "2006-01-02 15:04:05"}}
复原工夫：{{$alert.EndsAt.Format "2006-01-02 15:04:05"}}
========== END ==========
{{- end}}
{{- end}}
{{- end}}

启动

nohup ./alertmanager &

装置 Grafana

wget https://dl.grafana.com/oss/re…

tar -zxvf grafana-8.4.6.linux-amd64.tar.gz

mv grafana-8.4.6.linux-amd64 grafana

配置未更改，走的默认，也能够依据具体情况做相应的配置改变

启动

nohup ./grafana &

配置数据源为 Prometheus

因为在本地，所以首选 localhost

保留并测试

导入配置

grafana dashboard 地址

https://grafana.com/grafana/d…

11074 ——1 Node Exporter for Prometheus Dashboard EN 20201010

1860 ——-Node Exporter Full

4701 ——-JVM (Micrometer)

参考链接

https://blog.51cto.com/u_15060547/3817600
https://www.cnblogs.com/Devinhao/articles/16180018.html

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