說先說一下結構,由於grafana本身數據源沒有mongodb,所以需要在中間加上Prometheus來對mongodb監控.
服務器端組件：
prometheus #服務端
Grafana #前端展示，
客戶端組件：
node_exporter
mongodb_exporter
mongodb,Prometheus,node_exporter,node_exporter 都安裝在192.168.23.10
grafana 安裝在另外一臺機器上
首先安裝go
$ yum install go
$ go version
go version go1.6.3 linux/amd64下載安裝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然後在Prometheus裏面修改配置文件prometheus.yml(添加你監管的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'] #這裏是mongodb_exporter監聽端口,在後面會說.
啓動Prometheus: nohup ./Prometheus &
Prometheus內置了一個web界面，我們可通過http://monitor_host:9090進行訪問：
在Status->Targets頁面下，我們可以看到我們配置的mongo1,Target的State爲UP。(up爲Prometheus已經檢測到數據,需要安裝好
node_exporter,mongodb_exporter下面會說)
可以用我傳上去的:
mongodb_exporter:
https://download.csdn.net/download/locky_lll/10366804node_exporter:
https://download.csdn.net/download/locky_lll/10366812下一步我們需要安裝並運行exporter，下載exporters並解壓到被監控端服務器：
$ 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(這個我是直接下導進去的)
$ 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 &安裝運行mongodb_exporter:
$ nohup ./mongodb_exporter-linux-amd64 &這時再返回Prometheus頁面,你的mongodb Status就回變成 UP.
到這裏,Prometheus監控mongoDB就完成了.
Grafana安裝配置介紹(網上教程比較多,我就不一一寫了)
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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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編輯配置文件/etc/grafana/grafana.ini，修改dashboards.json段落下兩個參數的值：
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[dashboards.json]
enabled=true
path=/var/lib/grafana/dashboards
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安裝儀表盤（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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運行以下命令爲Grafana打個補丁，不然圖表不能正常顯示：
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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
$sed-i's/,range_input/.replace(\/"{\/g,"\\"").replace(\/}"\/g,"\\""),range_input/;
s/step_input:""/step_input:this.target.step/'/usr/share/grafana/public/app/plugins/datasource/prometheus/query_ctrl.js
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最後我們運行Grafana服務
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$systemctldaemon-reload
$systemctlstartgrafana-server
$systemctlstatusgrafana-server
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然後我們到Data
Sources頁面添加數據源：
然後在添加錶盤時,可以load一個辨認已經做好的錶盤:
https://grafana.com/dashboards/2583
完成後:
因爲grafana是實時的,所以這個是我已經開了一天的圖.
如果轉載,需加出處.