使用grafana监控mongodb

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/10366804

node_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)

安装运行node_exporter:

$ 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)

1 2	$ 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

编辑配置文件/etc/grafana/grafana.ini，修改dashboards.json段落下两个参数的值：

[dashboards.json]

enabled=true

path=/var/lib/grafana/dashboards

安装仪表盘（Percona提供）

1 2	$ git clone https://github.com/percona/grafana-dashboards.git $ cp -r grafana-dashboards/dashboards /var/lib/grafana

运行以下命令为Grafana打个补丁，不然图表不能正常显示：

$sed-i's/expr=$.$\.replace($.$\.expr,$.$\.scopedVars$.*$var$.$=$.$\.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

最后我们运行Grafana服务

$systemctldaemon-reload

$systemctlstartgrafana-server

$systemctlstatusgrafana-server

grafana默认端口3000,可以访问ganfana.

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.