grafana+prometheus linux环境搭建及使用

一、搭建

step 1 拉取镜像

docker pull prom/node-exporter  #用来监控系统CPU、内存、硬盘等
docker pull prom/prometheus     
docker pull grafana/grafana
docker pull google/cadvisor     #用来监控容器

step2 创建prometheus配置文件路径,编辑配置文件

mkdir prometheus
cd prometheus
vim prometheus.yml

prometheus.xml文件

global:
  scrape_interval:     15s # By default, scrape targets every 15 seconds.

  # Attach these labels to any time series or alerts when communicating with
  # external systems (federation, remote storage, Alertmanager).
  external_labels:
    monitor: 'codelab-monitor'

# 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'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s

    static_configs:
      - targets: ['localhost:9090']  #prometheus自身地址和端口

  - job_name: 'linux'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s

    static_configs:
      - targets: ['10.168.2.53:9100']  #监控linux的地址和端口
        labels:
          instance: node

  - job_name: 'container'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s

    static_configs:
      - targets: ['10.168.2.53:9001']  #监控docker的地址和端口
        labels:
          instance: container

step 3 创建grafana目录,并赋予权限。因为是挂载,grafana文件夹需要一些权限,否则容器不能创建成功。

mkdir grafana
chmod 777 -R grafana

step 4 创建容器

# 创建监控docker的容器
docker run --volume=/:/rootfs:ro --volume=/var/run:/var/run:ro --volume=/sys:/sys:ro --volume=/var/lib/docker/:/var/lib/docker:ro --publish=9001:8080 --detach=true --name=cadvisor google/cadvisor

# 创建监控linux的容器
docker run -d -p 9100:9100 --name=prometheus-node -v "/proc:/host/proc" -v "/sys:/host/sys" -v "/:/rootfs" --net=host prom/node-exporter --path.procfs /host/proc --path.sysfs /host/sys --collector.filesystem.ignored-mount-points "^/(sys|proc|dev|)"

# 创建prometheus容器
docker run -it -p 9091:9090 -v /opt/prometheus:/etc/prometheus --name=prometheus prom/prometheus:latest --config.file=/etc/prometheus/prometheus.yml

# 创建grafana容器
docker run -d -p 9002:3000 --name=grafana -v /opt/grafana:/var/lib/grafana grafana/grafana

 step5  验证搭建结果

访问prometheus地址  http://ip:9091

 从首页->Status->Targets 进入targets页面,查看监控是否正常运行。当state=up时,正常运行。

二、grafana可视化配置

访问grafana地址,http://ip:9002

step1:配置数据源,选择Prometheus数据源,配置prometheus相关内容(name、url),保存(save&test)

 

step2: 选择监控模块

进入grafana官网 https://grafana.com/,从菜单栏Grafana中选择Dashboards,进入dashboards模板页面

选择合适的模板(linux监控模板/container监控模板) ,比如 监控linux的(node),dashboardID是8919

step3:在grafana中使用模板 

在grafana中,在下图输入框中输入dashboardsID,load即可。

效果如下:

 

其他模板样式,可在grafana中查找使用。

参考:

https://www.cnblogs.com/xiao987334176/p/9930517.html

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转载自blog.csdn.net/qq_24166417/article/details/106756923