生产环境安装Prometheus+Grafana

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所属分类:linux技术
摘要

wget https://github.com/prometheus/prometheus/releases/download/v2.34.0/prometheus-2.34.0.linux-amd64.tar.gz


安装Prometheus

wget https://github.com/prometheus/prometheus/releases/download/v2.34.0/prometheus-2.34.0.linux-amd64.tar.gz

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' 

创建规则

mkdir -p /root/prometheus/rules

cat host_rules.yml

groups: - name: 系统资源告警规则   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使用超过80%!(当前值: {{ 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: 内存使用超过80%!(当前值: {{ humanize $value }}%)"   - alert: 磁盘告警规则     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: 磁盘使用超过70%!(当前值: {{ humanize $value }}%)" 

启动

nohup ./prometheus &

效果图

生产环境安装Prometheus+Grafana

生产环境安装Prometheus+Grafana

安装alertmanager

wget https://github.com/prometheus/alertmanager/releases/download/v0.24.0/alertmanager-0.24.0.linux-amd64.tar.gz

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

mv alertmanager-0.24.0.linux-amd64 alertmanager

vim alertmanager.yml

具体可以去企业微信后台查找相关参数

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: '<你的企业微信应用id>' templates:   - '/alertmanager/*.tmpl' 

yaml语法检查

./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 -}} ======== 异常告警 ======== 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 }} 告警时间:{{ $alert.StartsAt.Format "2006-01-02 15:04:05" }} ========== END ========== {{- end }} {{- end }} {{- if gt (len .Alerts.Resolved) 0 -}} {{- range $index, $alert := .Alerts -}} ======== 告警恢复 ======== 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 }} 告警时间:{{ $alert.StartsAt.Format "2006-01-02 15:04:05" }} 恢复时间:{{ $alert.EndsAt.Format "2006-01-02 15:04:05" }} ========== END ========== {{- end }} {{- end }} {{- end }} 

启动

nohup ./alertmanager &

生产环境安装Prometheus+Grafana

安装Grafana

wget https://dl.grafana.com/oss/release/grafana-8.4.6.linux-amd64.tar.gz

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,也可以根据具体情况做相应的配置改动

启动

nohup ./grafana &

配置数据源为Prometheus

因为在本地,所以首选localhost

生产环境安装Prometheus+Grafana

生产环境安装Prometheus+Grafana

保存并测试

导入配置

grafana dashboard地址

https://grafana.com/grafana/dashboards

11074 ------1 Node Exporter for Prometheus Dashboard EN 20201010

生产环境安装Prometheus+Grafana

1860 -------Node Exporter Full

生产环境安装Prometheus+Grafana

4701 -------JVM (Micrometer)

生产环境安装Prometheus+Grafana

生产环境安装Prometheus+Grafana

生产环境安装Prometheus+Grafana

参考链接

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

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