标签：metrics 模板 mes code load global cond 菜单 linux服务
使用Grafana和Prometheus对Linux服务器性能进行监控，主要通过node_exporter进行监控，指标如 CPU、内存、磁盘等。Prometheus通过HTTP协议从远程的机器收集数据并存储Prometheus本地时序数据库。
一.监测服务器安装node_exporter
linux下载: wget https://github.com/prometheus/node_exporter/releases/download/v0.18.1/node_exporter-0.18.1.linux-amd64.tar.gz
解压：tar xzvf node_exporter-0.18.1.linux-amd64.tar.gz
cd node_exporter-0.18.1.linux-amd64
启动：./node_exporter
二.本地安装prometheus，修改监测配置
1.下载并解压：https://prometheus.io/download/
2.解压后打开,prometheus.yml
# 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‘. static_configs: - targets: [‘localhost:9090‘]
在末尾加上监测的ip和端口 - job_name: ‘linux-exporter‘ metrics_path: /metrics static_configs: - targets: [‘xxx.xxx.xxx.xxx:9100‘]
3.监测是否监听成功
启动prometheus.exe，本地访问：localhost:9090
界面展示监听的服务器即表示成功~~~~
三.安装grafana
1.下载：https://grafana.com/grafana/download
2.启动：本地访问localhost:3000
默认admin/admin登录，登录进去会让你修改用户名和密码，修改即可
3.选择Prometheus数据源
4.进入grafana官网 https://grafana.com/，从菜单栏Grafana中选择Dashboards，进入dashboards模板页面，复制ID，这里用的是8919，在grafana上ipmort 监听模块：
grafana+prometheus+node_exporter+linux
标签：metrics 模板 mes code load global cond 菜单 linux服务
原文地址：https://www.cnblogs.com/jiangger/p/13999615.html
