Prometheus Installation to monitor server

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Prometheus is an open source monitoring system and time series database. It addresses many aspects of monitoring such as the generation and collection of metrics, graphing the resulting data on dashboards, and alerting on anomalies. The main features of Prometheus is that its a multi-dimensional data model with

System Update


$ sudo yum update

Downloading Prometheus

Once your server is ready with all of the updates, proceed to the installation setup of Prometheus. To do so, first we will download its latest available package on Github. We will be using the ‘Curl’ command to download Pometheus in a newly created directory using the following commands.
$ mkdir backup
$ cd backup
$ curl -LO "https://github.com/prometheus/prometheus/releases/download/0.17.0/prometheus-0.17.0.linux-amd64.tar.gz"
$ mv prometheus-0.17.0.linux-amd64.tar.gz prometheus-0.17.0rc1.linux-amd64.tar.gz

Prometheus Installation


We will be creating a new directory to install Prometheus into as it would be best practise to keep all the components of Prometheus within one parent directory. So, run the commands below to create a new directory in the home directory of your current user and extract the Prometheus package on it.
$ mkdir ~/Prometheus
$ cd ~/Prometheus
$ tar -zxvf ~/backup/prometheus-0.17.0rc1.linux-amd64.tar.gz
Now run the following command to verify the installation and check the version of ‘Prometheus’ and ‘Go’ installers.
$ ~/Prometheus/prometheus-0.17.0rc1.linux-amd64/prometheus -version


Installation of Node Exporter

Node Exporter is actually the Prometheus exporter for machine metrics, written in Go with pluggable metric collectors that exports a lot of metrics such as disk I/O statistics, memory usage, network statistics, CPU load and much more in a format that Prometheus recognizes.
The installation package for Node Exporter is also available on Github that can be downloaded from the Prometheus Node Exporter releases. Copy the Source link address to download the package using the ‘Curl’ command.
$ cd ~/backup/
$ curl -LO "https://github.com/prometheus/node_exporter/releases/download/0.12.0rc3/node_exporter-0.12.0rc3.linux-amd64.tar.gz"
Then extract this using the ‘tar’ command in a new directory ‘node_exporter’ under Prometheus using the following commands.
$ mkdir ~/Prometheus/node_exporter
$ cd ~/Prometheus/node_exporter/
$ tar -zxvf ~/backup/node_exporter-0.12.0rc3.linux-amd64.tar.gz

Starting Node Exporter

Execute the node_exporter within the same directory where extracted, to run its service as shown below.
$ ./node_exporter

Node Exporter As a Service

Node Exporter has been placed under the home directory of our sudo user in ‘~/Prometheus/node_exporter’ directory. Now we are going to configure it as a service so that we can easily start and stop Node Exporter service when required.

$ sudo vim /etc/systemd/system/node_exporter.service
[Unit]
Description=Node Exporter

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

[Install]
WantedBy=default.target
Then start the service after reloading daemon or reboot the server.
$ sudo systemctl daemon-reload
$ sudo systemctl enable node_exporter.service
$ sudo systemctl start node_exporter.service
$ sudo systemctl status node_exporter.service
Once the node_exporter service is running, open your browser to view Node Exporter’s web interface by following the link below.
http://your_servers_ip:9100/metrics

Starting Prometheus Server

We are now ready to start the Prometheus server by creating a new configuration file in the Prometheus directory with the following code in it.
$ cd ~/Prometheus/prometheus-0.17.0rc1.linux-amd64/
$ vim prometheus.yml


global:
  scrape_interval:     15s # By default, scrape targets every 15 seconds.

  # Attach these labels to any time series or alerts when communicating with
  # external systems (federation, remote storage, Alertmanager).
  external_labels:
    monitor: 'codelab-monitor'

# 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'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s

    target_groups:
      - targets: ['localhost:9090']
Close after making saving the changes using ‘:wq!’.
These configurations will create the ‘scrape_configs’ and a ‘job_name’ as ‘node’ that can be any name you wish. Then start the Prometheus server as a background process and redirect it to output the log files using the following command.
$ nohup ./prometheus > prometheus.log 2>&1 &
To view these logs you can use the command below.
$ tail ~/Prometheus/prometheus-0.17.0rc1.linux-amd64/prometheus.log

Prometheus Web Access

Now open your favourite web browser to access the Prometheus web console using your server’s IP address or FQDN as shown below.
http://your_servers_ip:9090
To make sure that the Prometheus server is fetching the data from the Node Exporter, click on the Graph and insert any metric chosen from the drop down, then click on the ‘Execute’ button to see the graph as shown below.
You can view the most commonly used metrics from the console templates that are available under the following path.
$ ls ~/Prometheus/prometheus-0.17.0rc1.linux-amd64/consoles
http://yourservers_ip:9090/consoles/node.html
For any help in configuration please don't forget to comment.

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