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Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成

目录

  • 1.安装kafka_exporter
  • 2.安装Prometheus
  • 3.安装Grafana
  • 4.配置Grafana数据源
  • 4.下载dashboard
  • 5.完成

1.安装kafka_exporter

  • 下载安装包:
https://github.com/danielqsj/kafka_exporter/releases/download/v1.2.0/kafka_exporter-1.2.0.linux-amd64.tar.gz
  • 或者在线安装:
wget https://github.com/danielqsj/kafka_exporter/releases/download/v1.2.0/kafka_exporter-1.2.0.linux-amd64.tar.gz
           
  • 将安装包上传至服务器,并解压:
tar -xvf kafka_exporter-1.2.0.linux-amd64.tar
           
  • 后台启动(Kafka默认用9092端口):
cd kafka_exporter-1.2.0.linux-amd64/
nohup ./kafka_exporter --kafka.server=[Kafka所在服务器IP]:9092 &
           
  • 启动成功后,可以用浏览器访问以下地址查看具体数值(默认用9308端口):
http://[kafka_exporter所在服务器IP]:9308/metrics

2.安装Prometheus

  • 进入Prometheus官网,下载安装包:
    Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成
  • 将安装包上传至服务器,并解压:
tar -xvf prometheus-2.42.0.linux-amd64.tar.gz
           
  • 修改配置文件,增加对Kafka集群的监控配置:
# 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:
          # - alertmanager:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "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'.

  - job_name: 'kafka'
    static_configs:
     - targets:
        - [Kafka所在服务器IP]:9308
           
  • 后台启动:
cd prometheus-2.42.0.linux-amd64/
nohup ./prometheus --config.file=prometheus.yml &
           
  • 启动成功后,可以用浏览器访问以下地址查看状态(Prometheus默认用9090端口),当State为UP时,说明服务正常:
http://[Prometheus所在服务器IP]:9090/targets?search=
Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成

3.安装Grafana

  • 进入Grafana官网,下载安装包:
    Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成
  • 将安装包上传至服务器,并解压:
tar -zxvf grafana-enterprise-9.3.6.linux-amd64.tar.gz
           
  • 后台启动:
cd grafana-9.3.6/bin/
nohup ./grafana-server &
           
  • 启动成功后,可以用浏览器访问以下地址进入Grafana界面(Grafana默认用3000端口):
http://[Grafana所在服务器IP]:3000/
Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成

4.配置Grafana数据源

Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成
Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成
Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成

4.下载dashboard

  • 进入Grafana官网,搜索模板:
    Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成
  • 下载模板的JSON文件
    Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成
  • 在Grafana中导入JSON文件:
    Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成
Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成
Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成

5.完成

Prometheus+Grafana监控Kafka集群1.安装kafka_exporter2.安装Prometheus3.安装Grafana4.配置Grafana数据源4.下载dashboard5.完成

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