Overview
Prometheus is an opensource monitoring solution that gathers time series based numerical data. It is a project which was started by Google's ex-employees at SoundCloud.
To monitor your services and infra with Prometheus your service needs to expose an endpoint in the form of port or URL. For example:- {{localhost:9090}}. The endpoint is an HTTP interface that exposes the metrics.
For some platforms such as Kubernetes and skyDNS Prometheus act as directly instrumented software that means you don't have to install any kind of exporters to monitor these platforms. It can directly monitor by Prometheus.
One of the best thing about Prometheus is that it uses a Time Series Database(TSDB) because of that you can use mathematical operations, queries to analyze them. Prometheus uses SQLite as a database but it keeps the monitoring data in volumes.
To monitor your services and infra with Prometheus your service needs to expose an endpoint in the form of port or URL. For example:- {{localhost:9090}}. The endpoint is an HTTP interface that exposes the metrics.
For some platforms such as Kubernetes and skyDNS Prometheus act as directly instrumented software that means you don't have to install any kind of exporters to monitor these platforms. It can directly monitor by Prometheus.
One of the best thing about Prometheus is that it uses a Time Series Database(TSDB) because of that you can use mathematical operations, queries to analyze them. Prometheus uses SQLite as a database but it keeps the monitoring data in volumes.
Pre-requisites
- A CentOS 7 or Ubuntu VM
- A non-root sudo user, preferably one named prometheus
Installing Prometheus Server
First, create a new directory to store all the files you download in this tutorial and move to it.
mkdir /opt/prometheus-setup
cd /opt/prometheus-setupCreate a user named "prometheus"
useradd prometheusUse wget to download the latest build of the Prometheus server and time-series database from GitHub.
wget https://github.com/prometheus/prometheus/releases/download/v2.0.0/prometheus-2.0.0.linux-amd64.tar.gz
The Prometheus monitoring system consists of several components, each of which needs to be installed separately.Use tar to extract prometheus-2.0.0.linux-amd64.tar.gz:
tar -xvzf ~/opt/prometheus-setup/prometheus-2.0.0.linux-amd64.tar.gz .
Place your executable file somewhere in your PATH variable, or add them into a path for easy access.
mv prometheus-2.0.0.linux-amd64 prometheus
sudo mv prometheus/prometheus /usr/bin/
sudo chown prometheus:prometheus /usr/bin/prometheusmkdir /etc/prometheusmv prometheus/prometheus.yml /etc/prometheus/prometheus --version
prometheus, version 2.0.0 (branch: HEAD, revision: 0a74f98628a0463dddc90528220c94de5032d1a0)
build user: root@615b82cb36b6
build date: 20171108-07:11:59
go version: go1.9.2Create a service for prometheus
sudo vi /etc/systemd/system/prometheus.service[Unit]
Description=Prometheus
[Service]
User=prometheus
ExecStart=/usr/bin/prometheus --config.file /etc/prometheus/prometheus.yml --storage.tsdb.path /opt/prometheus-setup/
[Install]
WantedBy=multi-user.targetsystemctl daemon-reload
systemctl start prometheus
systemctl enable prometheusInstalling Node Exporter
Prometheus was developed for the purpose of monitoring web services. In order to monitor the metrics of your 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 wget to download the latest build of Node Exporter which is available on GitHub.
Node exporter is a binary which is written in go which monitors the resources such as cpu, ram and filesystem.
Node exporter is a binary which is written in go which monitors the resources such as cpu, ram and filesystem.
wget https://github.com/prometheus/node_exporter/releases/download/v0.15.1/node_exporter-0.15.1.linux-amd64.tar.gz
You can now use the tar command to extract : node_exporter-0.15.1.linux-amd64.tar.gznode_exporter-0.15.1.linux-amd64.tar.gz .tar -xvzf
mv node_exporter-0.15.1.linux-amd64 node-exporter
Perform this action:-
mv node-exporter/node_exporter /usr/bin/
Running Node Exporter as a Service
Create a user named "prometheus" on the machine on which you are going to create node exporter service.
useradd prometheussudo 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:[Unit]
Description=Node Exporter
[Service]
User=prometheus
ExecStart=/usr/bin/node_exporter
[Install]
WantedBy=default.targetSave the file and exit the text editor. Reload systemd so that it reads the configuration file you just created.
sudo systemctl daemon-reloadAt 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.
sudo systemctl enable node_exporter.serviceYou can now either reboot your server or use the following command to start the service manually:
sudo systemctl start node_exporter.serviceOnce 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:
Starting Prometheus Server with a new node
Before you start Prometheus, you must first edit a configuration file for it called prometheus.yml.
vim /etc/prometheus/prometheus.ymlCopy the following code into the file.
# my global configuration which means it will applicable for all jobs in file
global:
scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute. scrape_interval should be provided for scraping data from exporters
evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute. Evaluation interval checks at particular time is there any update on alerting rules or not.
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'. Here we will define our rules file path
#rule_files:
# - "node_rules.yml"
# - "db_rules.yml"
# A scrape configuration containing exactly one endpoint to scrape: In the scrape config we can define our job definitions
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: 'node-exporter'
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.# target are the machine on which exporter are running and exposing data at particular port.
static_configs:
- targets: ['localhost:9100']
After adding configuration in prometheus.yml. We should restart the service by
systemctl restart prometheus
This creates a scrape_configs section and defines a job called a 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.
Use a browser to visit Prometheus's homepage available at http://your_server_ip:9090. You'll see the following homepage. 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.
