说先说一下结构,由于grafana本身数据源没有mongodb,所以需要在中间加上Prometheus来对mongodb监控.
服务器端组件：
prometheus #服务端
Grafana #前端展示，
客户端组件：
node_exporter
mongodb_exporter
mongodb,Prometheus,node_exporter,node_exporter 都安装在192.168.23.10
grafana 安装在另外一台机器上
首先安装go
$ yum install go
$ go version
go version go1.6.3 linux/amd64下载安装Prometheus（https://prometheus.io/download/）
$ wget https://github.com/prometheus/prometheus/releases/download/v1.6.2/prometheus-1.6.2.linux-amd64.tar.gz
$ tar xvf prometheus-1.6.2.linux-amd64.tar.gz -C /usr/local/
$ ln -sv /usr/local/prometheus-1.6.2.linux-amd64/ /usr/local/prometheus
$ cd /usr/local/prometheus然后在Prometheus里面修改配置文件prometheus.yml(添加你监管的ip地址):
# 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).
# Attach these labels to any time series or alerts when communicating with
# external systems (federation, remote storage, Alertmanager).
external_labels:
monitor: 'codelab-monitor'
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
#- "first.rules"
# - "second.rules"
# 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']
- job_name: 'mongo1'
static_configs:
- targets: ['192.168.23.10:9001'] #这里是mongodb_exporter监听端口,在后面会说.
启动Prometheus: nohup ./Prometheus &
Prometheus内置了一个web界面，我们可通过http://monitor_host:9090进行访问：
在Status->Targets页面下，我们可以看到我们配置的mongo1,Target的State为UP。(up为Prometheus已经检测到数据,需要安装好
node_exporter,mongodb_exporter下面会说)
可以用我传上去的:
mongodb_exporter:
https://download.csdn.net/download/locky_lll/10366804node_exporter:
https://download.csdn.net/download/locky_lll/10366812下一步我们需要安装并运行exporter，下载exporters并解压到被监控端服务器：
$ wget https://github.com/prometheus/node_exporter/releases/download/v0.14.0/node_exporter-0.14.0.linux-amd64.tar.gz
https://github.com/dcu/mongodb_exporter/releases/mongodb_exporter-linux-amd64(这个我是直接下导进去的)
$ tar xvf node_exporter-0.14.0.linux-amd64.tar.gz -C /usr/local/
$ nohup /usr/local/node_exporter-0.14.0.linux-amd64/node_exporter &安装运行mongodb_exporter:
$ nohup ./mongodb_exporter-linux-amd64 &这时再返回Prometheus页面,你的mongodb Status就回变成 UP.
到这里,Prometheus监控mongoDB就完成了.
Grafana安装配置介绍(网上教程比较多,我就不一一写了)
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$
wget
https://s3-us-west-2.amazonaws.com/grafana-releases/release/grafana-4.2.0-1.x86_64.rpm
$
sudo
yum
localinstall
grafana-4.2.0-1.x86_64.rpm
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编辑配置文件/etc/grafana/grafana.ini，修改dashboards.json段落下两个参数的值：
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[dashboards.json]
enabled=true
path=/var/lib/grafana/dashboards
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安装仪表盘（Percona提供）
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$
git
clone
https://github.com/percona/grafana-dashboards.git
$
cp
-r
grafana-dashboards/dashboards
/var/lib/grafana
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运行以下命令为Grafana打个补丁，不然图表不能正常显示：
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$sed-i's/expr=\(.\)\.replace(\(.\)\.expr,\(.\)\.scopedVars\(.*\)var\(.\)=\(.\)\.interval/expr=\1.replace(\2.expr,\3.scopedVars\4var
\5=\1.replace(\6.interval, \3.scopedVars)/'/usr/share/grafana/public/app/plugins/datasource/prometheus/datasource.js
$sed-i's/,range_input/.replace(\/"{\/g,"\\"").replace(\/}"\/g,"\\""),range_input/;
s/step_input:""/step_input:this.target.step/'/usr/share/grafana/public/app/plugins/datasource/prometheus/query_ctrl.js
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最后我们运行Grafana服务
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$systemctldaemon-reload
$systemctlstartgrafana-server
$systemctlstatusgrafana-server
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然后我们到Data
Sources页面添加数据源：
然后在添加表盘时,可以load一个辨认已经做好的表盘:
https://grafana.com/dashboards/2583
完成后:
因为grafana是实时的,所以这个是我已经开了一天的图.
如果转载,需加出处.