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Grafana Prometheus Dashboard Tutorial

Grafana Prometheus Dashboard Tutorial

Are you looking to create custom dashboards and monitor your applications, systems, and infrastructure in real-time? Grafana and Prometheus are two popular open-source tools that work together seamlessly to provide a powerful monitoring solution. In this tutorial, we will guide you through the steps of setting up and configuring Grafana and Prometheus to create custom dashboards.

Grafana is a popular open-source dashboard and visualization tool that supports multiple data sources, including Prometheus. Prometheus is a time-series database and monitoring system that collects metrics from various sources. Together, they provide a complete monitoring solution for your infrastructure.


Before we get started, you need to have the following components installed on your system:

  • Prometheus
  • Grafana

Step 1: Configure Prometheus

To begin, we need to configure Prometheus to collect metrics from the sources you want to monitor. You can do this by adding the relevant targets to the Prometheus configuration file. Here's an example:

scrape_interval: 15s
evaluation_interval: 15s

- job_name: 'prometheus'
- targets: ['localhost:9090']

- job_name: 'myapp'
- targets: ['localhost:9100']

In the above example, we have configured Prometheus to collect metrics from two targets - Prometheus itself and an application running on localhost:9100. You can add more targets as per your requirements.

Step 2: Verify Prometheus

Once you have configured Prometheus, you can verify that it is collecting metrics by accessing the Prometheus web interface at http://localhost:9090. Here, you can run queries and visualize metrics.

Step 3: Configure Grafana

Next, we need to configure Grafana to connect to Prometheus and display metrics. To do this, we need to add Prometheus as a data source in Grafana. Here's how:

  1. Open Grafana in your browser at http://localhost:3000.
  2. Log in with the default credentials (admin/admin).
  3. Click on the gear icon in the left sidebar and select "Data Sources".
  4. Click on "Add data source" and select "Prometheus".
  5. Enter a name for the data source and set the URL to http://localhost:9090.
  6. Click "Save & Test".

Step 4: Create a Dashboard

Now that we have added Prometheus as a data source, we can create a dashboard to display metrics. Here's how:

  1. Click on the "Create" button in the left sidebar and select "Dashboard".
  2. Click on "Add Query" and select the data source you just created.
  3. Enter a query to fetch the metrics you want to display (e.g., node_cpu{mode="idle"}).
  4. Click on "Panel Title" and select "Edit".
  5. Select the type of visualization you want (e.g., Graph).
  6. Customize the visualization as per your requirements.
  7. Repeat steps 2-6 to add more panels to your dashboard.
  8. Click "Save Dashboard" to save your changes.

Congratulations! You have successfully created a custom dashboard using Grafana and Prometheus. You can now monitor your infrastructure in real-time and gain insights into its performance.

More Examples:

  • Create a dashboard to monitor the performance of a web application (e.g., request latency, error rate, etc.).
  • Set up alerts in Grafana to notify you when certain metrics cross a threshold.
  • Use Grafana's built-in plugins and integrations to extend its functionality.

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  • That's it for this post. Keep practicing and have fun. Leave your comments if any.

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