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:
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 &