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How to Monitor Docker Containers using Grafana on Ubuntu
================================================================================
Grafana is an open source feature rich metrics dashboard. It is very useful for visualizing large-scale measurement data. It provides a powerful and elegant way to create, share, and explore data and dashboards from your disparate metric databases.
It supports a wide variety of graphing options for ultimate flexibility. Furthermore, it supports many different storage backends for your Data Source. Each Data Source has a specific Query Editor that is customized for the features and capabilities that the particular Data Source exposes. The following datasources are officially supported by Grafana: Graphite, InfluxDB, OpenTSDB, Prometheus, Elasticsearch and Cloudwatch
The query language and capabilities of each Data Source are obviously very different. You can combine data from multiple Data Sources onto a single Dashboard, but each Panel is tied to a specific Data Source that belongs to a particular Organization. It supports authenticated login and a basic role based access control implementation. It is deployed as a single software installation which is written in Go and Javascript.
In this article, I'll explain on how to install Grafana on a docker container in Ubuntu 16.04 and configure docker monitoring using this software.
### Pre-requisites ###
- Docker installed server
### Installing Grafana ###
We can build our Grafana in a docker container. There is an official docker image available for building Grafana. Please run this command to build a Grafana container.
```
root@ubuntu:~# docker run -i -p 3000:3000 grafana/grafana
Unable to find image 'grafana/grafana:latest' locally
latest: Pulling from grafana/grafana
5c90d4a2d1a8: Pull complete
b1a9a0b6158e: Pull complete
acb23b0d58de: Pull complete
Digest: sha256:34ca2f9c7986cb2d115eea373083f7150a2b9b753210546d14477e2276074ae1
Status: Downloaded newer image for grafana/grafana:latest
t=2016-07-27T15:20:19+0000 lvl=info msg="Starting Grafana" logger=main version=3.1.0 commit=v3.1.0 compiled=2016-07-12T06:42:28+0000
t=2016-07-27T15:20:19+0000 lvl=info msg="Config loaded from" logger=settings file=/usr/share/grafana/conf/defaults.ini
t=2016-07-27T15:20:19+0000 lvl=info msg="Config loaded from" logger=settings file=/etc/grafana/grafana.ini
t=2016-07-27T15:20:19+0000 lvl=info msg="Config overriden from command line" logger=settings arg="default.paths.data=/var/lib/grafana"
t=2016-07-27T15:20:19+0000 lvl=info msg="Config overriden from command line" logger=settings arg="default.paths.logs=/var/log/grafana"
t=2016-07-27T15:20:19+0000 lvl=info msg="Config overriden from command line" logger=settings arg="default.paths.plugins=/var/lib/grafana/plugins"
t=2016-07-27T15:20:19+0000 lvl=info msg="Path Home" logger=settings path=/usr/share/grafana
t=2016-07-27T15:20:19+0000 lvl=info msg="Path Data" logger=settings path=/var/lib/grafana
t=2016-07-27T15:20:19+0000 lvl=info msg="Path Logs" logger=settings path=/var/log/grafana
t=2016-07-27T15:20:19+0000 lvl=info msg="Path Plugins" logger=settings path=/var/lib/grafana/plugins
t=2016-07-27T15:20:19+0000 lvl=info msg="Initializing DB" logger=sqlstore dbtype=sqlite3
t=2016-07-27T15:20:20+0000 lvl=info msg="Executing migration" logger=migrator id="create playlist table v2"
t=2016-07-27T15:20:20+0000 lvl=info msg="Executing migration" logger=migrator id="create playlist item table v2"
t=2016-07-27T15:20:20+0000 lvl=info msg="Executing migration" logger=migrator id="drop preferences table v2"
t=2016-07-27T15:20:20+0000 lvl=info msg="Executing migration" logger=migrator id="drop preferences table v3"
t=2016-07-27T15:20:20+0000 lvl=info msg="Executing migration" logger=migrator id="create preferences table v3"
t=2016-07-27T15:20:20+0000 lvl=info msg="Created default admin user: [admin]"
t=2016-07-27T15:20:20+0000 lvl=info msg="Starting plugin search" logger=plugins
t=2016-07-27T15:20:20+0000 lvl=info msg="Server Listening" logger=server address=0.0.0.0:3000 protocol=http subUrl=
```
We can confirm the working of the Grafana container by running this command `docker ps -a` or by accessing it by URL `http://Docker IP:3000`
All Grafana configuration settings are defined using environment variables, this is much useful when using container technology. The Grafana configuration file is located at /etc/grafana/grafana.ini.
### Understanding the Configuration ###
The Grafana has number of configuration options that can be specified in its configuration file as .ini file or can be specified using environment variables as mentioned before.
#### Config file locations ####
Normal config file locations.
- Default configuration from : $WORKING_DIR/conf/defaults.ini
- Custom configuration from : $WORKING_DIR/conf/custom.ini
PS : When you install Grafana using the deb or rpm packages or docker images, then your configuration file is located at /etc/grafana/grafana.ini
#### Understanding the config variables ####
Let's see some of the variables in the configuration file below:
`instance_name` : It's the name of the grafana server instance. It default value is fetched from ${HOSTNAME}, which will be replaced with environment variable HOSTNAME, if that is empty or does not exist Grafana will try to use system calls to get the machine name.
`[paths]`
`data` : It's the path where Grafana stores the sqlite3 database (when used), file based sessions (when used), and other data.
`logs` : It's where Grafana stores the logs.
Both these paths are usually specified via command line in the init.d scripts or the systemd service file.
`[server]`
`http_addr` : The IP address to bind the application. If it's left empty it will bind to all interfaces.
`http_port` : The port to which the application is bind to, defaults is 3000. You can redirect your 80 port to 3000 using the below command.
```
$iptables -t nat -A PREROUTING -p tcp --dport 80 -j REDIRECT --to-port 3000
```
`root_url` : This is the URL used to access Grafana from a web browser.
`cert_file` : Path to the certificate file (if protocol is set to https).
`cert_key` : Path to the certificate key file (if protocol is set to https).
`[database]`
Grafana uses a database to store its users and dashboards and other informations. By default it is configured to use sqlite3 which is an embedded database included in the main Grafana binary.
`type`
You can choose mysql, postgres or sqlite3 as per our requirement.
`path`
It's applicable only for sqlite3 database. The file path where the database will be stored.
`host`
It's applicable only to MySQL or Postgres. it includes IP or hostname and port. For example, for MySQL running on the same host as Grafana: host = 127.0.0.1:3306
`name`
The name of the Grafana database. Leave it set to grafana or some other name.
`user`
The database user (not applicable for sqlite3).
`password`
The database user's password (not applicable for sqlite3).
`ssl_mode`
For Postgres, use either disable, require or verify-full. For MySQL, use either true, false, or skip-verify.
`ca_cert_path`
(MySQL only) The path to the CA certificate to use. On many linux systems, certs can be found in /etc/ssl/certs.
`client_key_path`
(MySQL only) The path to the client key. Only if server requires client authentication.
`client_cert_path`
(MySQL only) The path to the client cert. Only if server requires client authentication.
`server_cert_name`
(MySQL only) The common name field of the certificate used by the mysql server. Not necessary if ssl_mode is set to skip-verify.
`[security]`
`admin_user` : It is the name of the default Grafana admin user. The default name set is admin.
`admin_password` : It is the password of the default Grafana admin. It is set on first-run. The default password is admin.
`login_remember_days` : The number of days the keep me logged in / remember me cookie lasts.
`secret_key` : It is used for signing keep me logged in / remember me cookies.
### Essentials components for setting up Monitoring ###
We use the below components to create our Docker Monitoring system.
`cAdvisor` : It is otherwise called Container Advisor. It provides its users an understanding of the resource usage and performance characteristics. It collects, aggregates, processes and exports information about the running containers. You can go through this documentation for more information about this.
`InfluxDB` : It is a time series, metrics, and analytic database. We use this datasource for setting up our monitoring. cAdvisor displays only real time information and doesn’t store the metrics. Influx Db helps to store the monitoring information which cAdvisor provides in order to display a time range other than real time.
`Grafana Dashboard` : It allows us to combine all the pieces of information together visually. This powerful Dashboard allows us to run queries against the data store InfluxDB and chart them accordingly in beautiful layout.
### Installation of Docker Monitoring ###
We need to install each of these components one by one in our docker system.
#### Installing InfluxDB ####
We can use this command to pull InfluxDB image and setuup a influxDB container.
```
root@ubuntu:~# docker run -d -p 8083:8083 -p 8086:8086 --expose 8090 --expose 8099 -e PRE_CREATE_DB=cadvisor --name influxsrv tutum/influxdb:0.8.8
Unable to find image 'tutum/influxdb:0.8.8' locally
0.8.8: Pulling from tutum/influxdb
a3ed95caeb02: Already exists
23efb549476f: Already exists
aa2f8df21433: Already exists
ef072d3c9b41: Already exists
c9f371853f28: Already exists
a248b0871c3c: Already exists
749db6d368d0: Already exists
7d7c7d923e63: Pull complete
e47cc7808961: Pull complete
1743b6eeb23f: Pull complete
Digest: sha256:8494b31289b4dbc1d5b444e344ab1dda3e18b07f80517c3f9aae7d18133c0c42
Status: Downloaded newer image for tutum/influxdb:0.8.8
d3b6f7789e0d1d01fa4e0aacdb636c221421107d1df96808ecbe8e241ceb1823
-p 8083:8083 : user interface, log in with username-admin, pass-admin
-p 8086:8086 : interaction with other application
--name influxsrv : container have name influxsrv, use to cAdvisor link it.
```
You can test your InfluxDB installation by calling this URL >>http://45.79.148.234:8083 and login with user/password as "root".
![InfluxDB Administration 2016-08-01 14-10-08](http://blog.linoxide.com/wp-content/uploads/2016/07/InfluxDB-Administration-2016-08-01-14-10-08-1-1024x530.png)
We can create our required databases from this tab.
![createDB influx](http://blog.linoxide.com/wp-content/uploads/2016/07/createDB-influx-1024x504.png)
#### Installing cAdvisor ####
Our next step is to install cAdvisor container and link it to the InfluxDB container. You can use this command to create it.
```
root@ubuntu:~# docker run --volume=/:/rootfs:ro --volume=/var/run:/var/run:rw --volume=/sys:/sys:ro --volume=/var/lib/docker/:/var/lib/docker:ro --publish=8080:8080 --detach=true --link influxsrv:influxsrv --name=cadvisor google/cadvisor:latest -storage_driver_db=cadvisor -storage_driver_host=influxsrv:8086
Unable to find image 'google/cadvisor:latest' locally
latest: Pulling from google/cadvisor
09d0220f4043: Pull complete
151807d34af9: Pull complete
14cd28dce332: Pull complete
Digest: sha256:8364c7ab7f56a087b757a304f9376c3527c8c60c848f82b66dd728980222bd2f
Status: Downloaded newer image for google/cadvisor:latest
3bfdf7fdc83872485acb06666a686719983a1172ac49895cd2a260deb1cdde29
root@ubuntu:~#
--publish=8080:8080 : user interface
--link=influxsrv:influxsrv: link to container influxsrv
-storage_driver=influxdb: set the storage driver as InfluxDB
Specify what InfluxDB instance to push data to:
-storage_driver_host=influxsrv:8086: The ip:port of the database. Default is ‘localhost:8086’
-storage_driver_db=cadvisor: database name. Uses db ‘cadvisor’ by default
```
You can test our cAdvisor installation by calling this URL >>http://45.79.148.234:8080. This will provide you the statistics of your Docker host and containers.
![cAdvisor - Docker Containers 2016-08-01 14-24-18](http://blog.linoxide.com/wp-content/uploads/2016/07/cAdvisor-Docker-Containers-2016-08-01-14-24-18-776x1024.png)
#### Installing the Grafana Dashboard ####
Finally, we need to install the Grafana Dashboard and link to the InfluxDB. You can run this command to setup that.
```
root@ubuntu:~# docker run -d -p 3000:3000 -e INFLUXDB_HOST=localhost -e INFLUXDB_PORT=8086 -e INFLUXDB_NAME=cadvisor -e INFLUXDB_USER=root -e INFLUXDB_PASS=root --link influxsrv:influxsrv --name grafana grafana/grafana
f3b7598529202b110e4e6b998dca6b6e60e8608d75dcfe0d2b09ae408f43684a
```
Now we can login to Grafana and configure the Data Sources. Navigate to http://45.79.148.234:3000 or just http://45.79.148.234:
Username - admin
Password - admin
Once we've installed Grafana, we can connect the InfluxDB. Login on the Dashboard and click on the Grafana icon(Fireball) in the upper left hand corner of the panel. Click on Data Sources to configure.
![addingdatabsource](http://blog.linoxide.com/wp-content/uploads/2016/08/addingdatabsource-1-1024x804.png)
Now you can add our new Graph to our default Datasource InfluxDB.
![panelgraph](http://blog.linoxide.com/wp-content/uploads/2016/08/panelgraph-1024x576.png)
We can edit and modify our query by adjusting our graph at Metric tab.
![Grafana - Grafana Dashboard 2016-08-01 14-53-40](http://blog.linoxide.com/wp-content/uploads/2016/08/Grafana-Grafana-Dashboard-2016-08-01-14-53-40-1024x504.png)
![Grafana - Grafana Dashboard](http://blog.linoxide.com/wp-content/uploads/2016/08/Grafana-Grafana-Dashboard-1024x509.png)
You can get [more information][1] on docker monitoring here. Thank you for reading this. I would suggest your valuable comments and suggestions on this. Hope you'd a wonderful day!
--------------------------------------------------------------------------------
via: http://linoxide.com/linux-how-to/monitor-docker-containers-grafana-ubuntu/
作者：[Saheetha Shameer][a]
译者：[ChrisLeeGit](https://github.com/chrisleegit)
校对：[校对者ID](https://github.com/校对者ID)
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
[a]:http://linoxide.com/author/saheethas/
[1]:https://github.com/vegasbrianc/docker-monitoring

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# 如何在 Ubuntu 上使用 Grafana 监控 Docker
Grafana 是一个有着丰富指标的开源控制面板。在进行大型的测量数据的可视化时是非常有用的。根据不同的丰富指标，它提供了一个强大、优雅的方式来创建、浏览数据的方式。
它提供了丰富多样、灵活的图形选项。此外，针对数据源，它支持许多不同的存储后端。每个数据源都有针对特定数据源公开的特性和功能定制的查询编辑器。下述数据源 Grafana 提供了正式的支持：Graphite, InfluxDB, OpenTSDB, Prometheus, Elasticsearch 和 Cloudwatch。
查询语言和每个数据源的能力显然是不同的，你可以将来自多个数据源的数据混合到一个单一的仪表盘上，但每个小组被绑定到属于一个特定组织的特点数据源。它支持验证登陆和基于角色的访问控制的实现。它是作为一个独立软件部署的，使用 Go 和 JavaScript 编写的。
在这篇文章，我将讲解如何在 Ubuntu 16.04 上安装 Grafana 并使用这个软件配置 Docker 监控
### 先决条件
- 安装好 Docker 的服务器
### 安装 Grafana
我们可以在 Docker 中构建我们的 Grafana。 这里有一个官方的 Grafana Docker 镜像.请运行下述命令来构建Grafana 容器。
```
root@ubuntu:~# docker run -i -p 3000:3000 grafana/grafana
Unable to find image 'grafana/grafana:latest' locally
latest: Pulling from grafana/grafana
5c90d4a2d1a8: Pull complete
b1a9a0b6158e: Pull complete
acb23b0d58de: Pull complete
Digest: sha256:34ca2f9c7986cb2d115eea373083f7150a2b9b753210546d14477e2276074ae1
Status: Downloaded newer image for grafana/grafana:latest
t=2016-07-27T15:20:19+0000 lvl=info msg="Starting Grafana" logger=main version=3.1.0 commit=v3.1.0 compiled=2016-07-12T06:42:28+0000
t=2016-07-27T15:20:19+0000 lvl=info msg="Config loaded from" logger=settings file=/usr/share/grafana/conf/defaults.ini
t=2016-07-27T15:20:19+0000 lvl=info msg="Config loaded from" logger=settings file=/etc/grafana/grafana.ini
t=2016-07-27T15:20:19+0000 lvl=info msg="Config overriden from command line" logger=settings arg="default.paths.data=/var/lib/grafana"
t=2016-07-27T15:20:19+0000 lvl=info msg="Config overriden from command line" logger=settings arg="default.paths.logs=/var/log/grafana"
t=2016-07-27T15:20:19+0000 lvl=info msg="Config overriden from command line" logger=settings arg="default.paths.plugins=/var/lib/grafana/plugins"
t=2016-07-27T15:20:19+0000 lvl=info msg="Path Home" logger=settings path=/usr/share/grafana
t=2016-07-27T15:20:19+0000 lvl=info msg="Path Data" logger=settings path=/var/lib/grafana
t=2016-07-27T15:20:19+0000 lvl=info msg="Path Logs" logger=settings path=/var/log/grafana
t=2016-07-27T15:20:19+0000 lvl=info msg="Path Plugins" logger=settings path=/var/lib/grafana/plugins
t=2016-07-27T15:20:19+0000 lvl=info msg="Initializing DB" logger=sqlstore dbtype=sqlite3
t=2016-07-27T15:20:20+0000 lvl=info msg="Executing migration" logger=migrator id="create playlist table v2"
t=2016-07-27T15:20:20+0000 lvl=info msg="Executing migration" logger=migrator id="create playlist item table v2"
t=2016-07-27T15:20:20+0000 lvl=info msg="Executing migration" logger=migrator id="drop preferences table v2"
t=2016-07-27T15:20:20+0000 lvl=info msg="Executing migration" logger=migrator id="drop preferences table v3"
t=2016-07-27T15:20:20+0000 lvl=info msg="Executing migration" logger=migrator id="create preferences table v3"
t=2016-07-27T15:20:20+0000 lvl=info msg="Created default admin user: [admin]"
t=2016-07-27T15:20:20+0000 lvl=info msg="Starting plugin search" logger=plugins
t=2016-07-27T15:20:20+0000 lvl=info msg="Server Listening" logger=server address=0.0.0.0:3000 protocol=http subUrl=
```
我们可以通过运行此命令确认 Grafana 容器的工作状态 `docker ps -a` 或通过这个URL访问 `http://Docker IP:3000`
所有的 Grafana 配置设置都使用环境变量定义，在使用容器技术时这个是非常有用的。Grafana 配置文件路径为 /etc/grafana/grafana.ini.
### 理解配置项
Grafana 有多个 ini 文件作为被指定的配置文件，或可以指定使用前面提到的环境变量。
#### 配置文件位置
通常配置文件路径：
- 默认配置文件路径 : $WORKING_DIR/conf/defaults.ini
- 自定义配置文件路径 : $WORKING_DIR/conf/custom.ini
PS：当你使用 deb、rpm 或 docker 镜像安装 Grafana ，你的配置文件在 /etc/grafana/grafana.ini
#### 理解配置变量
现在我们看一些配置文件中的变量：
`instance_name` : 这是 Grafana 服务器实例的名字。默认值从 ${HOSTNAME} 获取,将会被环境变量 HOSTNAME替换，如果为空或不存在，Grafana 将会尝试使用系统调用来获取机器名。
`[paths]`
`data` : 这个是 Grafana 存储 sqlite3 数据库（如果使用），基于文件的 Sessions（如果使用），和其他数据的路径
`logs` : 这个是 Grafana 存储日志的路径
这些路径通常都是在 init.d 脚本或 systemd service文件通过命令行指定。
`[server]`
`http_addr` : 应用监听的 IP 地址，如果为空，则监听所有的IP。
`http_port` : 应用监听的端口，默认是 3000，你可以使用下面的命令在 80 端口重定向到 3000 端口。
```
$iptables -t nat -A PREROUTING -p tcp --dport 80 -j REDIRECT --to-port 3000
```
`root_url` : 这个 URL 用于从浏览器访问 Grafana 。
`cert_file` : 证书文件的路径（如果协议是 HTTPS）
`cert_key` : 证书密钥文件的路径（如果协议是 HTTPS）
`[database]`
Grafana 使用数据库来存储用户和仪表盘以及其他信息，默认配置为使用嵌入在 Grafana 主要的二进制文件中传的 SQLite3
`type`
你可以根据你的需求选择 MySQL、Postgres、SQLite3。
`path`
它只在选择 SQLite3 数据库时被应用，这个是数据库将要被存储的路径。
`host`
仅适用 MySQL 或者 Postgres。它包括 IP 地址或主机名以及端口。例如，Grafana 和 MySQL 运行在同一台主机上设置如： host = 127.0.0.1:3306
`name`
Grafana 数据库的名称，把它设置为 Grafana 或其它名称。
`user`
数据库用户（不适用于 SQLite3）
`password`
数据库用户密码（不适用于 SQLite3)
`ssl_mode`
对于Postgres，使用 disable，require，或 verify-full.对于 MySQL,使用 true，false，或 skip-verify
`ca_cert_path`
（只适用于MySQL）CA 证书文件路径，在多数 Linux 系统中，证书可以在 /etc/ssl/certs 找到
`client_key_path`
（只适用于MySQL）客户端密钥的路径，只在服务端需要用户端验证时使用。
`client_cert_path`
（只适用于MySQL）客户端证书的路径，只在服务端需要用户端验证时使用。
`server_cert_name`
（只适用于MySQL） MySQL 服务端使用的证书的通用名称字段。如果 ssl_mode 设置为 skip-verify 时可以不设置
`[security]`
`admin_user` : 这个是 Grafana 默认的管理员用户的用户名，默认设置为 admin.
`admin_password` : 这个是 Grafana 默认的管理员用户的密码，在第一次运行时设置，默认为 admin
`login_remember_days` : 保持登陆/记住我 的持续天数
`secret_key` : 用于保持登陆/记住我的 cookies 的签名
### 设置监控的重要组件
我们可以使用下面的组件来创建我们的 Docker 监控系统
`cAdvisor` : 他被称为 Container Advisor。它提供了对用户的资源利用和性能特征的解读。它收集、合并、处理、导出运行中的容器的信息。你可以通过文档了解更多关于这个。
`InfluxDB` : 这是一个时间排序、度量和分析数据库。我们使用这个数据源来设置我们的监控。cAdvisor 只展示时间信息，不保存度量信息。Influx Db帮助保存 cAdvisor 提供的监控数据，以展示非实时数据。
`Grafana Dashboard` : 它可以帮助我们在视觉上整合所有的信息。这个强大的仪表盘使我们能够针对数据存储 InfluxDB 进行查询并将他们放在一个布局合理好看的图表中。
### Docker监控的安装
我们需要一步一步的安装每一个下面的组件在我们的 Docker 系统中。
#### 安装 InfluxDB
我们可以使用这个命令来拉取 InfluxDB 镜像，并部署了 influxDB 容器。
```
root@ubuntu:~# docker run -d -p 8083:8083 -p 8086:8086 --expose 8090 --expose 8099 -e PRE_CREATE_DB=cadvisor --name influxsrv tutum/influxdb:0.8.8
Unable to find image 'tutum/influxdb:0.8.8' locally
0.8.8: Pulling from tutum/influxdb
a3ed95caeb02: Already exists
23efb549476f: Already exists
aa2f8df21433: Already exists
ef072d3c9b41: Already exists
c9f371853f28: Already exists
a248b0871c3c: Already exists
749db6d368d0: Already exists
7d7c7d923e63: Pull complete
e47cc7808961: Pull complete
1743b6eeb23f: Pull complete
Digest: sha256:8494b31289b4dbc1d5b444e344ab1dda3e18b07f80517c3f9aae7d18133c0c42
Status: Downloaded newer image for tutum/influxdb:0.8.8
d3b6f7789e0d1d01fa4e0aacdb636c221421107d1df96808ecbe8e241ceb1823
-p 8083:8083 : user interface, log in with username-admin, pass-admin
-p 8086:8086 : interaction with other application
--name influxsrv : container have name influxsrv, use to cAdvisor link it.
```
你可以测试 InfluxDB 是否安装好，通过访问这个 URL>>http://45.79.148.234:8083 （译者注，应当访问你自己的服务器的IP:8083），并且使用 root 用户的帐号和密码登陆
![InfluxDB Administration 2016-08-01 14-10-08](http://blog.linoxide.com/wp-content/uploads/2016/07/InfluxDB-Administration-2016-08-01-14-10-08-1-1024x530.png)
我们可以在这个界面上创建我们需要的数据库.
![createDB influx](http://blog.linoxide.com/wp-content/uploads/2016/07/createDB-influx-1024x504.png)
#### 安装 cAdvisor
我们的下一个步骤是安装 cAdvisor 容器，并将其链接到 InfluxDB 容器。你可以使用此命令来创建它。
```
root@ubuntu:~# docker run --volume=/:/rootfs:ro --volume=/var/run:/var/run:rw --volume=/sys:/sys:ro --volume=/var/lib/docker/:/var/lib/docker:ro --publish=8080:8080 --detach=true --link influxsrv:influxsrv --name=cadvisor google/cadvisor:latest -storage_driver_db=cadvisor -storage_driver_host=influxsrv:8086
Unable to find image 'google/cadvisor:latest' locally
latest: Pulling from google/cadvisor
09d0220f4043: Pull complete
151807d34af9: Pull complete
14cd28dce332: Pull complete
Digest: sha256:8364c7ab7f56a087b757a304f9376c3527c8c60c848f82b66dd728980222bd2f
Status: Downloaded newer image for google/cadvisor:latest
3bfdf7fdc83872485acb06666a686719983a1172ac49895cd2a260deb1cdde29
root@ubuntu:~#
--publish=8080:8080 : user interface
--link=influxsrv:influxsrv: link to container influxsrv
-storage_driver=influxdb: set the storage driver as InfluxDB
Specify what InfluxDB instance to push data to:
-storage_driver_host=influxsrv:8086: The ip:port of the database. Default is ‘localhost:8086’
-storage_driver_db=cadvisor: database name. Uses db ‘cadvisor’ by default
```
你可以通过访问这个地址来测试安装 cAdvisor 是否正常 >>http://45.79.148.234:8080. 这将为你的 Docker 主机和容器提供统计信息。
![cAdvisor - Docker Containers 2016-08-01 14-24-18](http://blog.linoxide.com/wp-content/uploads/2016/07/cAdvisor-Docker-Containers-2016-08-01-14-24-18-776x1024.png)
#### 安装 Grafana 控制面板
首先我们需要安装 Grafana 仪表板并链接到 InfluxDB，你可以执行下面的命令来设置他
```
root@ubuntu:~# docker run -d -p 3000:3000 -e INFLUXDB_HOST=localhost -e INFLUXDB_PORT=8086 -e INFLUXDB_NAME=cadvisor -e INFLUXDB_USER=root -e INFLUXDB_PASS=root --link influxsrv:influxsrv --name grafana grafana/grafana
f3b7598529202b110e4e6b998dca6b6e60e8608d75dcfe0d2b09ae408f43684a
```
现在我们可以登陆 Grafana 来配置数据源. 访问 http://45.79.148.234:3000 或 http://45.79.148.234:
用户名- admin
密码- admin
一旦我们安装好了 Grafana，我们可以链接 InfluxDB。登陆到控制台并且点击面板左上方角落的 Grafana 图标（火球）。点击数据源（Data Sources）来配置。
![addingdatabsource](http://blog.linoxide.com/wp-content/uploads/2016/08/addingdatabsource-1-1024x804.png)
现在你可以添加我们新的图像到我们默认的数据源 InfluxDB.
![panelgraph](http://blog.linoxide.com/wp-content/uploads/2016/08/panelgraph-1024x576.png)
我们可以通过在测量页面调整我们的图像可以编辑和调整我们的查询
![Grafana - Grafana Dashboard 2016-08-01 14-53-40](http://blog.linoxide.com/wp-content/uploads/2016/08/Grafana-Grafana-Dashboard-2016-08-01-14-53-40-1024x504.png)
![Grafana - Grafana Dashboard](http://blog.linoxide.com/wp-content/uploads/2016/08/Grafana-Grafana-Dashboard-1024x509.png)
你可以在 [更多信息][1]看到更多关于Docker监控的小心。 感谢你的阅读。我希望你可以留下有价值的建议和评论。希望你有个美好的一天
------
via: http://linoxide.com/linux-how-to/monitor-docker-containers-grafana-ubuntu/
作者：[Saheetha Shameer][a]
译者：[Bestony](https://github.com/bestony)
校对：[校对者ID](https://github.com/校对者ID)
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
[a]: http://linoxide.com/author/saheethas/
[1]: https://github.com/vegasbrianc/docker-monitoring