基于grafana+prometheus构建Flink监控

时间 2019-11-06

标签基于 grafana+prometheus grafana prometheus 构建 flink 监控繁體版

原文原文链接

先上一个架构图html

Flink App ：经过report 将数据发出去java

Pushgateway : Prometheus 生态中一个重要工具node

Prometheus : 一套开源的系统监控报警框架（Prometheus 入门与实践）linux

Grafana：一个跨平台的开源的度量分析和可视化工具，能够经过将采集的数据查询而后可视化的展现，并及时通知（可视化工具Grafana：简介及安装）web

Node_exporter : 跟Pushgateway同样是Prometheus 的组件，采集到主机的运行指标如CPU, 内存，磁盘等信息docker

如下安装，大部分参考博客： http://www.javashuo.com/article/p-bydptqfy-hb.htmlapache

一、docker pull 镜像api

docker pull prom/node-exporter
docker pull prom/pushgateway
docker pull prom/prometheus
docker pull grafana/grafana

查看下载的镜像架构

$ docker images
REPOSITORY           TAG                 IMAGE ID            CREATED             SIZE
prom/prometheus      latest              d5b9d7ed160a        2 weeks ago         138MB
grafana/grafana      latest              a6e14b4109af        2 weeks ago         253MB
prom/pushgateway     latest              20e6dcae675f        4 weeks ago         19.2MB
prom/node-exporter   latest              e5a616e4b9cf        2 months ago        22.9MB

二、编辑prometheus.yml 、建立 Grafana 数据存储目录框架

$ mkdir /opt/grafana-storage  # grafana 数据存储目录

$ cat /opt/prometheus/prometheus.yml # prometheus 配置

global:
  scrape_interval:     60s
  evaluation_interval: 60s
 
scrape_configs:
  - job_name: prometheus
    static_configs:
      - targets: ['localhost:9090']
        labels:
          instance: prometheus
 
  - job_name: linux
    static_configs:
      - targets: ['venn:9100']
        labels:
          instance: localhost
  - job_name: 'pushgateway'
    static_configs:
      - targets: ['venn:9091']
        labels:
          instance: 'pushgateway'

三、启动各个组件

docker run -d -p 3000:3000   --name=grafana   -v /opt/grafana-storage:/var/lib/grafana   grafana/grafana
docker run -d -p 9100:9100  -v "/proc:/host/proc:ro"  -v "/sys:/host/sys:ro"  -v "/:/rootfs:ro"  --net="host"  prom/node-exporter
docker run -d -p 9090:9090  -v /opt/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml  prom/prometheus
docker run -d -p 9091:9091 prom/pushgateway

查看docker进程

$ docker ps
CONTAINER ID        IMAGE                COMMAND                  CREATED             STATUS              PORTS                    NAMES
4a689cf48e10        prom/pushgateway     "/bin/pushgateway"       5 days ago          Up 5 days           0.0.0.0:9091->9091/tcp   infallible_goldstine
fcc40433bf75        grafana/grafana      "/run.sh"                5 days ago          Up 5 days           0.0.0.0:3000->3000/tcp   grafana
8ba942d0cf35        prom/prometheus      "/bin/prometheus --c…"   5 days ago          Up 5 days           0.0.0.0:9090->9090/tcp   quizzical_colden
b84b0f4be2b2        prom/node-exporter   "/bin/node_exporter"     5 days ago          Up 5 days                                    fervent_poitras

查看端口

$ netstat -apn | grep -E '9091|3000|9090|9100'
(Not all processes could be identified, non-owned process info
 will not be shown, you would have to be root to see it all.)
tcp        0      0 172.17.0.1:39028        172.17.0.4:9091         ESTABLISHED -                   
tcp6       0      0 :::9100                 :::*                    LISTEN      -                   
tcp6       0      0 :::3000                 :::*                    LISTEN      -                   
tcp6       0      0 :::9090                 :::*                    LISTEN      -                   
tcp6       0      0 :::9091                 :::*                    LISTEN      -                   
tcp6       0      0 192.168.229.129:45864   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.129:45856   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.129:45824   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.129:45874   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.129:45854   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.129:45836   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.129:45814   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.128:9100    192.168.229.1:13405     ESTABLISHED -                   
tcp6       0      0 192.168.229.129:45826   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.129:45844   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.128:9091    172.17.0.2:53930        ESTABLISHED -                   
tcp6       0      0 192.168.229.129:45846   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.128:9100    172.17.0.2:54776        ESTABLISHED -                   
tcp6       0      0 192.168.229.129:45816   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.129:45876   192.168.229.128:9091    ESTABLISHED 40846/java          
tcp6       0      0 192.168.229.129:45834   192.168.229.128:9091    TIME_WAIT   -                   
tcp6       0      0 192.168.229.129:45866   192.168.229.128:9091    TIME_WAIT   -

四、查看组件页面

node_exporter: ip:9100/metrics

查看 prometheus： ip:9090/targets

若是state 不是 UP 的，等一会就起来了

查看Grafana：

默认用户名密码： amin/admin

此处再也不赘述，配置数据源、建立系统负载监控参考博客：http://www.javashuo.com/article/p-bydptqfy-hb.html

五、配置Flink report ：

在Flink 配置文件 flink-conf.yml 中添加以下内容：

##metrics
metrics.reporter.promgateway.class: org.apache.flink.metrics.prometheus.PrometheusPushGatewayReporter
metrics.reporter.promgateway.host: venn
metrics.reporter.promgateway.port: 9091
metrics.reporter.promgateway.jobName: myJob
metrics.reporter.promgateway.randomJobNameSuffix: true
metrics.reporter.promgateway.deleteOnShutdown: false

启动一个任务（上一篇博客的案例迟到数据处理）：

flink run -m yarn-cluster -ynm LateDataProcess -yn 1 -c com.venn.stream.api.sideoutput.lateDataProcess.LateDataProcess jar/flinkDemo-1.0.jar

查看任务webUI：

PS：任务已经跑了一段时间了

六、Grafana 中配置Flink监控

因为上面一句配置好Flink report、 pushgateway、prometheus，而且在Grafana中已经添加了prometheus 数据源，因此Grafana中会自动获取到 flink job的metrics 。

Grafana 首页，点击New dashboard，建立一个新的dashboard

选中以后，即会出现对应的监控指标

至此，Flink 的metrics 的指标展现在Grafana 中了

flink 指标对应的指标名比较长，能够在Legend 中配置显示内容，在{{key}} 将key换成对应须要展现的字段便可，如： {{job_name}},{{operator_name}}

对应显示以下：

保存，搞定