Tutorial

How to Use Prometheus to Monitor Your CentOS 7 Server

Published on November 6, 2015
How to Use Prometheus to Monitor Your CentOS 7 Server

Introduction

Prometheus is an open source monitoring system developed by SoundCloud. Like other monitoring systems, such as InfluxDB and Graphite, Prometheus stores all its data in a time series database. However, it offers a multi-dimensional data-model and a powerful query language, allowing system administrators to not only easily fine tune the definitions of their metrics, but also generate more accurate reports.

Additionally, the Prometheus project also includes PromDash (a browser-based tool that can be used to develop custom dashboards) and an experimental AlertManager capable of sending alerts via e-mail, Flowdock, Slack, HipChat and more.

In this tutorial, you will learn how to install, configure, and use the Prometheus Server, Node Exporter, and PromDash.

Prerequisites

To follow this tutorial, you will need:

Step 1 — Installing Prometheus Server

First, create a new directory to store all the files you download in this tutorial and move to it.

  1. mkdir ~/Downloads
  2. cd ~/Downloads

Use curl to download the latest build of the Prometheus server and time-series database from GitHub.

  1. curl -LO "https://github.com/prometheus/prometheus/releases/download/0.16.0/prometheus-0.16.0.linux-amd64.tar.gz"

The Prometheus monitoring system consists of several components, each of which needs to be installed separately. Keeping all the components inside one parent directory is a good idea, so create one using mkdir.

  1. mkdir ~/Prometheus

Enter the directory you just created.

  1. cd ~/Prometheus

Use tar to extract prometheus-0.16.0.linux-amd64.tar.gz.

  1. tar -xvzf ~/Downloads/prometheus-0.16.0.linux-amd64.tar.gz

This completes the installation of Prometheus server. Verify the installation by typing in the following command:

  1. ~/Prometheus/prometheus-0.16.0.linux-amd64/prometheus -version

You should see the following message on your screen:

Prometheus output
prometheus, version 0.16.0 (branch: HEAD, revision: dcb8ba4)
  build user:       julius@desktop
  build date:       20151009-23:51:17
  go version:       1.5.1

Step 2 — Installing Node Exporter

Prometheus was developed for the purpose of monitoring web services. In order to monitor the metrics of your CentOS server, you should install a tool called Node Exporter. Node Exporter, as its name suggests, exports lots of metrics (such as disk I/O statistics, CPU load, memory usage, network statistics, and more) in a format Prometheus understands.

Enter the Downloads directory and use curl to download the latest build of Node Exporter which is available on GitHub.

  1. cd ~/Downloads && curl -LO "https://github.com/prometheus/node_exporter/releases/download/0.11.0/node_exporter-0.11.0.linux-amd64.tar.gz"

Create a new directory called node_exporter inside the Prometheus directory, and get inside it:

  1. mkdir ~/Prometheus/node_exporter
  2. cd ~/Prometheus/node_exporter

You can now use the tar command to extract node_exporter-0.11.0.linux-amd64.tar.gz.

  1. tar -xvzf ~/Downloads/node_exporter-0.11.0.linux-amd64.tar.gz

Step 3 — Running Node Exporter as a Service

To make it easy to start and stop Node Exporter, let us now convert it into a service.

Use vi or any other text editor to create a unit configuration file called node_exporter.service.

  1. sudo vi /etc/systemd/system/node_exporter.service

This file should contain the path of the node_exporter executable, and also specify which user should run the executable. Accordingly, add the following code:

/etc/init/node_exporter.conf
[Unit]
Description=Node Exporter

[Service]
User=prometheus
ExecStart=/home/prometheus/Prometheus/node_exporter/node_exporter

[Install]
WantedBy=default.target

Save the file and exit the text editor.

Reload systemd so that it reads the configuration file you just created.

  1. sudo systemctl daemon-reload

At this point, Node Exporter is available as a service which can be managed using the systemctl command. Enable it so that it starts automatically at boot time.

  1. sudo systemctl enable node_exporter.service

You can now either reboot your server, or use the following command to start the service manually:

  1. sudo systemctl start node_exporter.service

Once it starts, use a browser to view Node Exporter’s web interface, which is available at http://your_server_ip:9100/metrics. You should see a page with a lot of text:

http://your_server_ip:9100/metrics excerpt
# HELP go_gc_duration_seconds A summary of the GC invocation durations.
# TYPE go_gc_duration_seconds summary
go_gc_duration_seconds{quantile="0"} 0.00023853100000000002
go_gc_duration_seconds{quantile="0.25"} 0.00023998700000000002
go_gc_duration_seconds{quantile="0.5"} 0.00028122
. . .

Step 4 — Starting Prometheus Server

Enter the directory where you installed the Prometheus server:

cd ~/Prometheus/prometheus-0.16.0.linux-amd64

Before you start Prometheus, you must first create a configuration file for it called prometheus.yml.

  1. vi ~/Prometheus/prometheus-0.16.0.linux-amd64/prometheus.yml

Copy the following code into the file.

~/Prometheus/prometheus-0.16.0.linux-amd64/prometheus.yml
scrape_configs:
  - job_name: "node"
    scrape_interval: "15s"
    target_groups:
    - targets: ['localhost:9100']

This creates a scrape_configs section and defines a job called node. It includes the URL of your Node Exporter’s web interface in its array of targets. The scrape_interval is set to 15 seconds so that Prometheus scrapes the metrics once every fifteen seconds.

You could name your job anything you want, but calling it “node” allows you to use the default console templates of Node Exporter.

Save the file and exit.

Start the Prometheus server as a background process.

  1. nohup ./prometheus > prometheus.log 2>&1 &

Note that you redirected the output of the Prometheus server to a file called prometheus.log. You can view the last few lines of the file using the tail command:

  1. tail ~/Prometheus/prometheus-0.16.0.linux-amd64/prometheus.log

Once the server is ready, you will see the following messages in the file:

prometheus.log excerpt
INFO[0000] Starting target manager...         file=targetmanager.go line=75
INFO[0000] Listening on :9090                 file=web.go line=118

Use a browser to visit Prometheus’s homepage available at http://your_server_ip:9090. You’ll see the following homepage.

Prometheus Homepage

To make sure that Prometheus is scraping data from Node Exporter, click on the Graph tab at the top of the page. On the page that opens, type in the name of a metric (like node_procs_running, for example) in the text field that says Expression. Then, press the blue Execute button. Click Graph (next to Console) just below, and you should see a graph for that metric:

Prometheus Graph

Prometheus has console templates that let you view graphs of a few commonly used metrics. These console template are accessible only if you set the value of job_name to node in Prometheus’s configuration.

Visit http://your_server_ip:9090/consoles/node.html to access the Node Console and click on your server, localhost:9100, to view its metrics:

Node Console

Step 5 — Installing PromDash

Though the Prometheus server allows you to view graphs and experiment with expressions, it is generally used only for debugging purposes or to run one-off queries. The preferred way to visualize the data in Prometheus’s time-series database is to use PromDash, a tool that allows you to create custom dashboards which are not only highly configurable but also better-looking.

Enter the Prometheus directory:

  1. cd ~/Prometheus

PromDash is a Ruby on Rails application whose source files are available on GitHub. In order to download and run it, you need to install Git, Ruby and a few build tools. Use yum to do so.

  1. sudo yum install git ruby ruby-devel sqlite-devel zlib-devel gcc gcc-c++ automake patch

You can now use the git command to download the source files.

  1. git clone https://github.com/prometheus/promdash.git

Enter the promdash directory.

  1. cd ~/Prometheus/promdash

PromDash depends on several Ruby gems. In order to automate the installation of those gems, you should install a gem called bundler.

  1. gem install bundler

You can now use the bundle command to install all the Ruby gems that PromDash requires. As we will be configuring PromDash to work with SQLite3 in this tutorial, make sure you exclude the gems for MySQL and PostgreSQL using the --without parameter:

  1. bundle install --without mysql postgresql

You might have to wait for a few minutes for this command to complete. Once done, you should see the following messages:

Bundle output
. . .
Your bundle is complete!
Gems in the groups mysql and postgresql were not installed.
Use `bundle show [gemname]` to see where a bundled gem is installed.

Step 6 — Setting Up the Rails Environment

Create a directory to store the SQLite3 databases associated with PromDash.

  1. mkdir ~/Prometheus/databases

PromDash uses an environment variable called DATABASE_URL to determine the name of the the database associated with it. Type in the following so that PromDash creates a SQLite3 database called mydb.sqlite3 inside the databases directory:

  1. echo "export DATABASE_URL=sqlite3:$HOME/Prometheus/databases/mydb.sqlite3" >> ~/.bashrc

In this tutorial, you will be running PromDash in production mode, so set the RAILS_ENV environment variable to production.

  1. echo "export RAILS_ENV=production" >> ~/.bashrc

Apply the changes we made to the .bashrc file.

  1. . ~/.bashrc

Next, create PromDash’s tables in the SQLite3 database using the rake tool.

  1. rake db:migrate

Because PromDash uses the Rails Asset Pipeline, all the assets(CSS files, images and Javascript files) of the PromDash project should be precompiled. Type in the following to do so:

  1. rake assets:precompile

Step 7 — Starting and Configuring PromDash

PromDash runs on Thin, a light-weight web server. Start the server as a daemon by typing in the following command:

  1. bundle exec thin start -d

Wait for a few seconds for the server to start and then visit http://your_server_ip:3000/ to view PromDash’s homepage.

PromDash's Homepage

Before you start creating your custom dashboards, you should let PromDash know the URL of your Prometheus server. You can do so by clicking on the Servers tab at the top. Click New Server, then in the form, give any name to your Prometheus server. Set the Url field to http://your_server_ip:9090 and the Server type field to Prometheus.

PromDash's Create Server Screen

Finally, click on Create Server to complete the configuration. Your page will say Server was successfully created. and you can click back to Dashboards in the top menu.

Step 8 — Creating a Dashboard

Because a Promdash dashboard should belong to a Promdash directory, first create a new directory by clicking on the New Directory. In the form that shows up, give a name to your directory, like My Dashboards, then click Create Directory.

Once you submit the form, you will be taken back to the homepage. Click on the New Dashboard button now to create a new dashboard. In the form shown, give a name to your dashboard, like Simple Dashboard and select the directory you just created from the drop-down menu.

After submitting the form, you will be able to see the new dashboard.

Empty Dashboard

Your dashboard already has one graph, but it needs to be configured. Hovering over the graph’s header (which says Title) will reveal various icons that let you configure the graph. To change its title, you can click on the Graph and Axis Settings icon (fourth from the left) and type in a new title in the Graph Title field.

Click on the Datasources icon, which is the second to the left, to add one or more expressions to the graph. Click Add Expression, and in the field that says Enter Expression, enter node_procs_running.

Add Expression

Now click on the Refresh icon (the leftmost one) in the graph’s header to update the graph. Your dashboard now contains one fully configured graph. You can add more graphs by clicking on the Add Graph button at the bottom.

After making all the changes, make sure you click on the Save Changes button on the right to make your changes permanent. The next time you visit PromDash’s homepage, you will be able to see a link to your dashboard:

PromDash Dashboards

Conclusion

You now have a fully functional Prometheus ecosystem running on your CentOS 7 server, and you can use PromDash to create monitoring dashboards that suit your requirements.

Even though you installed all the components on a single CentOS machine, you can easily monitor more machines by installing only Node Exporter on each of them, and adding the URLs of the new Node Exporters to the targets array of prometheus.yml.

You can learn more about Prometheus by referring to its documentation.

Thanks for learning with the DigitalOcean Community. Check out our offerings for compute, storage, networking, and managed databases.

Learn more about our products

About the authors
Default avatar
Hathy A

author


Default avatar

staff technical writer

hi! i write do.co/docs now, but i used to be the senior tech editor publishing tutorials here in the community.


Still looking for an answer?

Ask a questionSearch for more help

Was this helpful?
 
6 Comments


This textbox defaults to using Markdown to format your answer.

You can type !ref in this text area to quickly search our full set of tutorials, documentation & marketplace offerings and insert the link!

The title is wrong on the node_exporter service config file. Looks like it copied from the Ubuntu version: /etc/init/node_exporter.conf -> /etc/systemd/system/node_exporter.service The contents are right just the title is wrong.

I got stuck when start bundle exec thin start -d.

bundle exec thin start -d
bundler: command not found: thin
Install missing gem executables with `bundle install`

As far as I can see, neither documentation nor various tutorials such as this one, mention creating a systemd service for prometheus itself, the way it’s created for the node exporter? I guess I’m missing something, I’ve just started exploring Prometheus, would someone care to explain? Thanx.

What would be the memory impact of this installation? How much memory/cpu this would consume on my vps? It is important to know this before installation :)

How much memory and CPU overhead will this use on my VPS?

I got stuck when start the node_exporter.service. After starting and enabling the service, i checked the status of it: ● node_exporter.service - Node Exporter Loaded: loaded (/etc/systemd/system/node_exporter.service; enabled; vendor preset: disabled) Active: failed (Result: exit-code) since Tue 2016-02-09 06:33:28 UTC; 8s ago Process: 2752 ExecStart=/root/download/prometheus/node_exporter/node_exporter (code=exited, status=217/USER) Main PID: 2752 (code=exited, status=217/USER)

Feb 09 06:33:28 ip-10-0-7-118.ap-northeast-1.compute.internal systemd[1]: Started Node Exporter. Feb 09 06:33:28 ip-10-0-7-118.ap-northeast-1.compute.internal systemd[1]: Starting Node Exporter… Feb 09 06:33:28 ip-10-0-7-118.ap-northeast-1.compute.internal systemd[1]: node_exporter.service: main process exited, co…SER Feb 09 06:33:28 ip-10-0-7-118.ap-northeast-1.compute.internal systemd[1]: Unit node_exporter.service entered failed state. Feb 09 06:33:28 ip-10-0-7-118.ap-northeast-1.compute.internal systemd[1]: node_exporter.service failed. Hint: Some lines were ellipsized, use -l to show in full. What happend?

Try DigitalOcean for free

Click below to sign up and get $200 of credit to try our products over 60 days!

Sign up

Join the Tech Talk
Success! Thank you! Please check your email for further details.

Please complete your information!

Featured on Community

Get our biweekly newsletter

Sign up for Infrastructure as a Newsletter.

Hollie's Hub for Good

Working on improving health and education, reducing inequality, and spurring economic growth? We'd like to help.

Become a contributor

Get paid to write technical tutorials and select a tech-focused charity to receive a matching donation.

Welcome to the developer cloud

DigitalOcean makes it simple to launch in the cloud and scale up as you grow — whether you're running one virtual machine or ten thousand.

Learn more