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Linux prometheus 监控

  • 2026-03-28 21:42:37
Linux prometheus 监控
topoly
install
https://github.com/prometheushttps://grafana.com/grafana/downloadhttps://github.com/nginx/nginx-prometheus-exporterhttps://github.com/prometheus/mysqld_exporter
tar   xzvf prometheus-3.10.0.linux-amd64.tar.gz                   -C  /usr/local/tar   xzvf node_exporter-1.10.2.linux-amd64.tar.gz                -C  /usr/local/tar   xzvf mysqld_exporter-0.19.0.linux-amd64.tar.gz              -C  /usr/local/tar   xzvf alertmanager-0.31.1.linux-amd64.tar.gz                 -C  /usr/local/tar   xzvf grafana-enterprise-12.4.2.linux-amd64.tar.gz           -C  /usr/local/tar   xzvf nginx-prometheus-exporter_1.5.1_linux_amd64.tar.gz     -C  /usr/local/nginx-prometheus-exporter/

prometheus

vi  /usr/lib/systemd/system/prometheus.service[Unit]After=network.target[Service]ExecStart=/usr/local/prometheus-3.10.0.linux-amd64/prometheus  --config.file="/usr/local/prometheus-3.10.0.linux-amd64/prometheus.yml"ExecReload=/bin/kill -HUP $MAINPID[Install]WantedBy=multi-user.target------------------------------------------------------------------------------------------------------------systemctl daemon-reload && systemctl enable --now prometheus && systemctl status prometheusss -tunlp | grep prometheushttp://192.168.190.5:9090/targetscurl http://localhost:9090/metrics

grafana

vi  /usr/lib/systemd/system/grafana.service[Unit]After=network.target[Service]ExecStart=/usr/local/grafana-12.4.2/bin/grafana server  --homepath="/usr/local/grafana-12.4.2/"  --config="/usr/local/grafana-12.4.2/conf/sample.ini"ExecReload=/bin/kill -HUP $MAINPIDKillMode=process[Install]WantedBy=multi-user.target------------------------------------------------------------------------------------------------------------systemctl daemon-reload && systemctl enable --now  grafana && systemctl status grafanass -tunlp | grep grafana

alertmanager

vi  /usr/lib/systemd/system/alertmanager.service[Unit]After=network.target[Service]ExecStart=/usr/local/alertmanager-0.31.1.linux-amd64/alertmanager --config.file="/usr/local/alertmanager-0.31.1.linux-amd64/alertmanager.yml"ExecReload=/bin/kill -HUP $MAINPIDKillMode=process[Install]WantedBy=multi-user.target------------------------------------------------------------------------------------------------------------systemctl daemon-reload && systemctl enable --now  alertmanager && systemctl status alertmanagerss -tunlp | grep alertmanager

node_exporter

vi  /usr/lib/systemd/system/node_exporter.service[Unit]After=network.target[Service]ExecStart=/usr/local/node_exporter-1.10.2.linux-amd64/node_exporterExecReload=/bin/kill -HUP $MAINPIDKillMode=process[Install]WantedBy=multi-user.target------------------------------------------------------------------------------------------------------------systemctl daemon-reload && systemctl enable --now node_exporter && systemctl status node_exporterss -tunlp | grep node_exportercurl http://localhost:9100/metrics

mysqld_exporter

vi  /etc/my.cnf#注意这里的密码一定要设置![client]user=exporterpassword=Exporter@123host=127.0.0.1  # 确保这里是 127.0.0.1 而不是 localhost 或 ::1port=3306------------------------------------------------------------------------------------------------------------#创建mysql监控账户,只需要在master上创建即可!CREATE USER 'exporter'@'localhost' IDENTIFIED BY 'Exporter@123';GRANT PROCESS, REPLICATION CLIENT ON *.* TO 'exporter'@'localhost';GRANT SELECT ON performance_schema.* TO 'exporter'@'localhost';FLUSH  PRIVILEGES;------------------------------------------------------------------------------------------------------------vi  /usr/lib/systemd/system/mysqld_exporter.service[Unit]After=network.target[Service]ExecStart=/usr/local/mysqld_exporter-0.19.0.linux-amd64/mysqld_exporter   --config.my-cnf="/etc/my.cnf"ExecReload=/bin/kill -HUP $MAINPIDKillMode=process[Install]WantedBy=multi-user.target------------------------------------------------------------------------------------------------------------systemctl daemon-reload && systemctl enable --now mysqld_exporter && systemctl status mysqld_exporterss -tunlp | grep mysqld_exportercurl http://localhost:9104/metrics

nginx_exporter

https://github.com/nginx/nginx-prometheus-exporter#安装了stub_status模块(默认没有安装),保证下面的网页有返回信息!http://192.168.190.8/nginx_statusorcurl -v  192.168.190.8/nginx_statusnginx -V | egrep -i "--with-http_stub_status_module"vi  /etc/nginx/nginx.conf    server {        location /nginx_status{        stub_status  on;        access_log    off;        allow 127.0.0.1;   # 允许本地访问        allow ::1;         # 允许 IPv6 本地访问        deny all;          # 拒绝其他所有访问        }nginx  -t  && nginx -s reload  && curl -v http://localhost/nginx_status------------------------------------------------------------------------------------------------------------返回各数据项说明:Active connections: 当前nginx正在处理的活动连接数.Server accepts handled requests request_time: nginx总共处理了13057 个连接,成功创建13057 握手(证明中间没有失败的),总共处理了11634 个请求,总共请求时间2230854。Reading: nginx读取到客户端的Header信息数.Writing: nginx返回给客户端的Header信息数.Waiting: 开启keep-alive的情况下,这个值等于 active – (reading + writing),意思就是nginx已经处理完成,正在等候下一次请求指令的驻留连接。所以,在访问效率高,请求很快被处理完毕的情况下,Waiting数比较多是正常的.如果reading +writing数较多,则说明并发访问量非常大,正在处理过程中。------------------------------------------------------------------------------------------------------------vi  /usr/lib/systemd/system/nginx-exporter.service[Unit]After=network.target[Service]ExecStart=/usr/local/nginx-prometheus-exporter/nginx-prometheus-exporter --nginx.scrape-uri=http://127.0.0.1:80/nginx_statusExecReload=/bin/kill -HUP $MAINPIDKillMode=process[Install]WantedBy=multi-user.target------------------------------------------------------------------------------------------------------------systemctl daemon-reload && systemctl enable --now  nginx-exporter && systemctl status nginx-exporterss -tunlp | grep nginx-prometheucurl http://localhost:9113/metrics

disposition

tee /usr/local/prometheus-3.10.0.linux-amd64/prometheus.yml <<eofglobal:  scrape_interval: 3s       #设置抓取间隔时间  evaluation_interval: 5s   #评估规则间隔时间#根据全局设置的'evaluation_interval'定期评估告警规则rule_files:  - "/usr/local/prometheus-3.10.0.linux-amd64/rules.yml"#警报管理器(Alertmanager)配置,非必要!alerting:  alertmanagers:  - static_configs:    - targets: ["192.168.190.5:9093"]#抓取(scrape)配置scrape_configs:  - job_name: "prometheus"    static_configs:    - targets: ["192.168.190.5:9090"]  - job_name: 'node-exporter'    static_configs:    - targets: ['192.168.190.5:9100','192.168.190.8:9100']      labels:        app: node  - job_name: 'nginx-exporter'    static_configs:    - targets: ["192.168.190.8:9113"]      labels:        app: nginx  - job_name: 'mysqld-exporter'    static_configs:    - targets: ["192.168.190.8:9104"]      labels:        app: mysqldeof
vi   /usr/local/prometheus-3.10.0.linux-amd64/rules.ymlgroups:  - name: server-down    rules:      - alert: server-down        expr: up == 0  # 检测服务器是否宕机        for: 1m        # 持续1分钟触发        labels:          app: node  - name: nginx-down    rules:      - alert: nginx-down        expr: nginx_up == 0  #检测nginx服务是否正常        for: 3s        labels:          app: nginx  - name: mysqld-down    rules:      - alert: mysqld-down        expr: mysql_up == 0  #检测mysqld服务是否正常        for: 3s  # 持续1分钟触发        labels:          app: mysqld  - name: HighCPU    rules:      - alert: HighCPU-Usage        expr: 100 - (avg(irate(node_cpu_seconds_total{mode="idle"}[5m])) by (instance) * 100) > 80        for: 1m        labels:          app: node  - name: HighMemory    rules:      - alert: HighMemory-Usage        expr: (1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) * 100 > 85        for: 1m        labels:          app: node  - name: HighDisk    rules:      - alert: HighDisk-Usage        expr: 100 - (node_filesystem_free_bytes{fstype=~"ext4|xfs"} /   node_filesystem_size_bytes{fstype=~"ext4|xfs"} * 100) > 90        for: 1h        labels:          app: node
[root@rocky1 linshi]# /usr/local/prometheus-3.10.0.linux-amd64/promtool check rules /usr/local/prometheus-3.10.0.linux-amd64/rules.ymlChecking /usr/local/prometheus-3.10.0.linux-amd64/rules.yml  SUCCESS6 rules found
tee  /usr/local/alertmanager-0.31.1.linux-amd64/alertmanager.yml  <<eofglobal:  smtp_smarthost: 'smtp.163.com:25'  # SMTP服务器地址和端口  smtp_from: 'xxx@163.com'    # 发件人邮箱  smtp_auth_username: 'xxx@163.com'   # SMTP认证用户名  smtp_auth_password: 'GLjCvs123FUdF'     # 邮箱授权码(非登录密码)  smtp_require_tls: true                  # 是否需要TLS加密route:  group_by: ['alertname''job']  group_wait: 5s         # 组告警等待时间。也就是告警产生后等待5s,如果有同组告警一起发出  group_interval: 10s    # 两组告警的间隔时间  repeat_interval: 5m    # 重复告警的间隔时间,减少相同告警的发送频率  receiver: 'mail'       # 默认接收器receivers:- name: 'mail'  email_configs:  - to: 'tangcunzhi@163.com'          # 收件人邮箱    send_resolved: true               # 是否发送恢复通知eof------------------------------------------------------------------------------------------------------------cd  /usr/local/alertmanager-0.28.0.linux-amd64./amtool check-config alertmanager.yml------------------------------------------------------------------------------------------------------------systemctl restart alertmanager
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  1. 请求信息 : 2026-03-29 01:32:35 HTTP/2.0 GET : https://f.mffb.com.cn/a/483694.html
  2. 运行时间 : 0.200528s [ 吞吐率:4.99req/s ] 内存消耗:4,654.49kb 文件加载:140
  3. 缓存信息 : 0 reads,0 writes
  4. 会话信息 : SESSION_ID=1a946181ae7be4e87b5b6c7a145c4901
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  1. CONNECT:[ UseTime:0.000984s ] mysql:host=127.0.0.1;port=3306;dbname=f_mffb;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `fenlei` [ RunTime:0.001777s ]
  3. SELECT * FROM `fenlei` WHERE `fid` = 0 [ RunTime:0.000839s ]
  4. SELECT * FROM `fenlei` WHERE `fid` = 63 [ RunTime:0.001178s ]
  5. SHOW FULL COLUMNS FROM `set` [ RunTime:0.001366s ]
  6. SELECT * FROM `set` [ RunTime:0.001148s ]
  7. SHOW FULL COLUMNS FROM `article` [ RunTime:0.002018s ]
  8. SELECT * FROM `article` WHERE `id` = 483694 LIMIT 1 [ RunTime:0.001118s ]
  9. UPDATE `article` SET `lasttime` = 1774719155 WHERE `id` = 483694 [ RunTime:0.002398s ]
  10. SELECT * FROM `fenlei` WHERE `id` = 67 LIMIT 1 [ RunTime:0.000706s ]
  11. SELECT * FROM `article` WHERE `id` < 483694 ORDER BY `id` DESC LIMIT 1 [ RunTime:0.002078s ]
  12. SELECT * FROM `article` WHERE `id` > 483694 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001870s ]
  13. SELECT * FROM `article` WHERE `id` < 483694 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.003487s ]
  14. SELECT * FROM `article` WHERE `id` < 483694 ORDER BY `id` DESC LIMIT 10,10 [ RunTime:0.002158s ]
  15. SELECT * FROM `article` WHERE `id` < 483694 ORDER BY `id` DESC LIMIT 20,10 [ RunTime:0.002659s ]
0.205219s