为了使Promethuse可以对进程进行监控,可以用利用process-exporter来检测所选进程的存活状态
一、安装process-exporter
- 1、安装部署
wget https://github.com/ncabatoff/process-exporter/releases/download/v0.6.0/process-exporter-0.6.0.linux-amd64.tar.gz
tar zxvf process-exporter-0.6.0.linux-amd64.tar.gz
mv process-exporter-0.6.0.linux-amd64 /usr/local/exporter/process-exporter
- 2、配置文件,监控特定进程 vi /usr/local/exporter/process-exporter/process-exporter.yaml
process_names:
- name: "{{.Matches}}"
cmdline:
- 'redis-server'
- name: "{{.Matches}}"
cmdline:
- 'mysqld'
- name: "{{.ExeFull}}"
cmdline:
- '/usr/bin/mongod -f /etc/mongod.conf'
- name: "{{.Matches}}"
cmdline:
- 'org.apache.zookeeper.server.quorum.QuorumPeerMain'
- name: "{{.Matches}}"
cmdline:
- 'org.apache.hadoop.mapreduce.v2.hs.JobHistoryServer'
- name: "{{.Matches}}"
cmdline:
- 'org.apache.hadoop.hdfs.qjournal.server.JournalNode'
- 监控所有服务进程 (可以忽略)
process_names:
- name: "{{.Comm}}"
cmdline:
- '. '
- 命令参数解释:
- 3、启动命令
nohup /usr/local/exporter/process-exporter/process-exporter -config.path=/usr/local/exporter/process-exporter/process-exporter.yaml &
或者采用system制作启动文件
代码语言:javascript复制vim /usr/lib/systemd/system/process_exporter.service
[Unit]
Description=Prometheus exporter for processors metrics, written in Go with pluggable metric collectors.
Documentation=https://github.com/ncabatoff/process-exporter
After=network.target
[Service]
Type=simple
User=prometheus
WorkingDirectory=/usr/local/exporter/process-exporter
ExecStart=/usr/local/exporter/process-exporter/process-exporter -config.path=/usr/local/exporter/process-exporter/process-exporter.yaml
Restart=on-failure
[Install]
WantedBy=multi-user.target
代码语言:javascript复制启动命令
systemctl daemon-reload
systemctl start process_exporter
systemctl enable process_exporter
- 4、访问 curl localhost:9256/metrics
二、配置prometheus采集进程数据
- 1、修改配置文件 vi /usr/local/prometheus/prometheus.yml
- job_name: 'process'
static_configs:
- targets: ['114.67.116.119:9256']
- 2、重启动
kill 26765
/usr/local/prometheus/prometheus --config.file=/usr/local/prometheus/prometheus.yml
或者
kill -hup 26765
- 3、访问web
三、配置grafna展示数据
process-exporter对应的dashboard为:https://grafana.com/grafana/dashboards/249 注意:CPU一栏有2同样名称,一个是系统空间,一个是用户空间