opensips 添加prometheus监控

背景介绍

本章主要介绍如何添加prometheus监控, 需要使用prometheus模块, prometheus依赖httpd模块, 所以在编译opensips的时候, 需要添加httpd和prometheus模块.

多说一句，httpd依赖libmcrohttpd, libmcrohttpd的版本一定要大于0.9.50, 不然http请求会有bug: 多次请求httpd服务，会有概率不返回结果，这个是libmcrohttpd的bug, 官方已经修复了,我用的是1.0.1版本。

opensips版本是:

version: opensips 3.3.10 (x86_64/linux)

opensips配置参考

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socket=udp:172.16.4.111:5261

...
loadmodule "httpd.so"
modparam("httpd", "port", 9998)
...
loadmodule "prometheus.so"
modparam("prometheus", "group_mode", 1)
modparam("prometheus", "statistics", "dialog: usrloc:")
modparam("prometheus", "statistics", "shmem: load: pkmem:")
...

statistics参数可以配置多个, 以空格分隔，使用组的话要带:,如果就想获取组里某个变量，不用带:,比如： modparam("prometheus", "statistics", "processed_dialogs") 就是 dialog:processed_dialogs的值，直接使用。

这些变量在哪里获取呢，你要使用opensips-cli -x mi get_statistics all 来查看,以下是我的参考：

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(opensips-cli): mi get_statistics all 
{
    "shmem:total_size": 2147483648,
    "shmem:max_used_size": 4975904,
    "shmem:free_size": 2142650392,
    "shmem:used_size": 4599408,
    "shmem:real_used_size": 4833256,
    "shmem:fragments": 3571,
    "rpmem:rpm_total_size": 0,
    "rpmem:rpm_used_size": 0,
    "rpmem:rpm_real_used_size": 0,
    "rpmem:rpm_fragments": 0,
    "rpmem:rpm_max_used_size": 0,
    "rpmem:rpm_free_size": 0,
    "core:rcv_requests": 243,
    "core:rcv_replies": 242,
    "core:fwd_requests": 0,
    "core:fwd_replies": 0,
    "core:drop_requests": 0,
    "core:drop_replies": 0,
    "core:err_requests": 0,
    "core:err_replies": 0,
    "core:bad_URIs_rcvd": 0,
    "core:bad_msg_hdr": 0,
    "core:slow_messages": 0,
    "core:timestamp": 70159,
    "net:waiting_udp": 0,
    "net:waiting_tcp": 0,
    "net:waiting_tls": 0,
    "dns:dns_total_queries": 0,
    "dns:dns_slow_queries": 0,
    "sql:sql_total_queries": 0,
    "sql:sql_slow_queries": 0,
    "cdb:cdb_total_queries": 2189,
    "cdb:cdb_slow_queries": 0,
    "tm:received_replies": 242,
    "tm:relayed_replies": 242,
    "tm:local_replies": 0,
    "tm:UAS_transactions": 242,
    "tm:UAC_transactions": 0,
    "tm:2xx_transactions": 158,
    "tm:3xx_transactions": 0,
    "tm:4xx_transactions": 84,
    "tm:5xx_transactions": 0,
    "tm:6xx_transactions": 0,
    "tm:inuse_transactions": 0,
    "sl:1xx_replies": 0,
    "sl:2xx_replies": 0,
    "sl:3xx_replies": 0,
    "sl:4xx_replies": 0,
    "sl:5xx_replies": 0,
    "sl:6xx_replies": 0,
    "sl:sent_replies": 0,
    "sl:sent_err_replies": 0,
    "sl:received_ACKs": 0,
    "usrloc:registered_users": 1,
    "usrloc:location-users": 1,
    "usrloc:location-contacts": 1,
    "usrloc:location-expires": 1,
    "registrar:max_expires": 0,
    "registrar:max_contacts": 0,
    "registrar:default_expire": 3600,
    "registrar:accepted_regs": 169,
    "registrar:rejected_regs": 0,
    "dialog:active_dialogs": 0,
    "dialog:early_dialogs": 0,
    "dialog:processed_dialogs": 0,
    "dialog:expired_dialogs": 0,
    "dialog:failed_dialogs": 0,
    "dialog:create_sent": 0,
    "dialog:update_sent": 0,
    "dialog:delete_sent": 0,
    "dialog:create_recv": 0,
    "dialog:update_recv": 0,
    "dialog:delete_recv": 0,
    "tracer:traced_requests": 339,
    "tracer:traced_replies": 336,
    "load:load-proc-1": 0,
    "load:load1m-proc-1": 0,
    "load:load10m-proc-1": 0,
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prometheus 收集数据

opensips已经通过9998端口,提供了数据收集的接口,那么就需要使用prometheus来收集数据。本次由于只用来展示opensips的数据,所以node-exporter就不安装了，只安装prometheus和grafana

prometheus部署的机器系统时间一定要和你电脑时间一致,否则无法收集到数据。

prometheus docker运行

prometheus.yaml 配置：

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global:
   scrape_interval: 15s
   evaluation_interval: 15s
   external_labels: 
     monitor: 'edc-lab-monitor'

scrape_configs:
  - job_name: 'opensips' 
    static_configs:
      - targets: ['172.16.4.111:9998']  ##填写opensips的ip和9998端口

运行容器：

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docker run -d -v ${PWD}/prometheus.yaml:/etc/prometheus/prometheus.yml --restart=always --net=host --name=prometheus prom/prometheus

prometheus 查看数据

服务如果没有报错的话,浏览器访问：http://172.16.4.111:9090,就能看到prometheus的界面了 query

如果想要看上报的数据统计,通过下图查看: metrics metrics

prometheus的metrics数据类型总共有四种类型:counter、gauge、histogram、summary 当type类型是unknown时,表示该指标没有被采集到,后续在grafana中不能显示该指标。

grafana 展示数据

grafana docker 安装

docker 运行命令:

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docker run -d -i -p 3000:3000 -e "GF_SERVER_ROOT_URL=http://grafana.server.name" -e "GF_SECURITY_ADMIN_PASSWORD=admin123" --restart=always --name=grafana grafana/grafana

grafana 页面配置

浏览器访问： http://172.16.4.111:3000, 登录用户名密码admin:admin123,创建新的dashboard grafana

“Add visualizaion”—>“Select data source” 选择prometheus grafana

如果通过opensips两个坐席拨打电话,就能看到监控数据了. grafana

在统计使用内存的指标上,纵坐标的单位是bytes.不直观，需要修改展示的单位,Axis->Unit: grafana

目前暂时未找到合适的grafana的web页面来展示opensips的数据,有一些插件比较老,好多年没更新了. 如果大家看到了比较好用的grafana插件,欢迎评论。