Prometheus监控kafka

监控方式

默认情况下, Kafka metrics 所有的 metric 都可以通过 JMX 获取，暴露kafka metrics 支持两种方式
1.在 Kafka Broker 外部, 作为一个独立进程, 通过 JMX 的 RMI 接口读取数据. 这种方式的好处是有任何调整不需要重启 Kafka Broker 进程, 缺点是多维护了一个独立的进程。
2.在 Kafka Broker 进程内部读取 JMX 数据, 这样解析数据的逻辑就在 Kafka Broker 进程内部, 如果有任何调整, 需要重启 Broker。选择暴露 kafka-metric 方式。

选择暴露 kafka-metric 方式

第一种需要外部多维护一个程序，而且还要考虑之后各种版本升级，实现起来比较繁琐，还好的是github上有许多优秀的开源kafka_exporter 下载过来直接启动就好了。简单介绍下

git项目地址：https://github.com/danielqsj/kafka_exporter

读取 JMX 的数据

jmx_prometheus_httpserver 通过独立进程读取 JMX 的数据
jmx_prometheus_javaagent 使用 Java Agent 方式, 尽量无侵入(仅需在 java 命令行中使用 -javaagent 参数)的启动 in-process library, 读取 JMX 数据.
Prometheus 采用了 PULL 方式, Prometheus 主动抓取 metrics 数据, 而不是靠客户端主动 PUSH 数据, 因此 jmx_prometheus 都是通过暴露 HTTP 端口的方式暴露 metrics 数据, 方便 Prometheus 抓取数据.

选第二种方式监控

wget https://raw.githubusercontent.com/prometheus/jmx_exporter/master/example_configs/kafka-2_0_0.yml

wget https://repo1.maven.org/maven2/io/prometheus/jmx/jmx_prometheus_javaagent/0.12.0/jmx_prometheus_javaagent-0.12.0.jar

在kafka-server-start.sh添加几行

export JMX_PORT="9999"
export KAFKA_OPTS="-javaagent:/path/jmx_prometheus_javaagent-0.6.jar=9991:/path/kafka-2_0_0.yml"

prometheus配置

- job_name: 'kafka-cluster'
      static_configs:
      - targets:
        - '192.168.xx.xx:9991'
        - '192.168.xx.xx:9991'
        - '192.168.xx.xx:9991'

grafana模板

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      "name": "DS_PROMETHEUS",
      "label": "Prometheus",
      "description": "",
      "type": "datasource",
      "pluginId": "prometheus",
      "pluginName": "Prometheus"
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      "id": "grafana",
      "name": "Grafana",
      "version": "5.4.3"
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      "name": "Graph",
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      "id": "singlestat",
      "name": "Singlestat",
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  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": "-- Grafana --",
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
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    },
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    },
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  "refresh": "1m",
  "schemaVersion": 16,
  "style": "dark",
  "tags": [],
  "templating": {
    "list": []
  },
  "time": {
    "from": "now-15m",
    "to": "now"
  },
  "timepicker": {
    "refresh_intervals": [
      "5s",
      "10s",
      "30s",
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      "15m",
      "30m",
      "1h",
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  },
  "timezone": "",
  "title": "Kafka Dashboard",
  "uid": "Vbm7Botmk",
  "version": 5
}