Prometheus & Grafana

Prometheus

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is an open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.

Grafana

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is an open-source tool used for analyzing and visualizing metrics.

This following tutorial guides you through deploying and integrating Databend, Prometheus, and Grafana. In this tutorial, you'll deploy a local Databend and install Prometheus and Grafana with Docker. Before you start, ensure that you have Docker installed.

Tutorial: Monitor Databend with Prometheus & Grafana

Step 1. Deploy Databend

Follow the

Deployment Guide

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to deploy a local Databend.

tip

This tutorial uses the

default configuration files

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in the configs folder of the install package. The metrics API for databend-meta is 0.0.0.0:28101/v1/metrics, and the metrics API for databend-query is 0.0.0.0:7070/metrics.

Step 2. Deploy Prometheus

The steps below describe how to install and deploy Prometheus using Docker.

1. Pull the latest Docker image of Prometheus from the Docker Hub registry.

   docker pull prom/prometheus

2. Edit the configuration file prometheus.yml.

   Add the following script to the end of the file prometheus.yml that can be found in the /etc/prometheus/prometheus.yml directory. Please note that, with Docker, there are multiple ways to modify a file for a container. In this tutorial, we demonstrate how to achieve this by saving the file to a local folder and mapping it when running the Prometheus image.

   tip

   Docker containers can connect to local services running on the host by using host.docker.internal. This feature is available by default only on Docker for Windows/Mac. However, it is also available on Linux starting from version 20.03.

   - job_name: "databend-query"
   
     # metrics_path defaults to '/metrics'
     # scheme defaults to 'http'.
   
     static_configs:
       - targets: ["host.docker.internal:7070"]
   
   - job_name: "databend-meta"
   
     metrics_path: "/v1/metrics"
     # scheme defaults to 'http'.
   
     static_configs:
       - targets: ["host.docker.internal:28101"]

3. Deploy Prometheus.

   If you saved and edited the file prometheus.yml in a local folder, you need to create a mapping using the -v option in the command. To do so, replace /path/to/prometheus.yml in the command below with the path to your local prometheus.yml.

   docker run \
   -p 9090:9090 \
   --add-host=host.docker.internal:host-gateway \
   -v /path/to/prometheus.yml:/etc/prometheus/prometheus.yml \
   prom/prometheus

4. Check Metrics Status

   Check the value on the right of each instance. 1 means the instance is healthy, and 0 means that the scrape failed.

   

Step 3. Deploy Grafana

The steps below describe how to install and deploy Grafana using Docker.

1. Pull the latest Docker image of Grafana from the Docker Hub registry.

   docker pull grafana/grafana

2. Deploy Grafana.

   docker run \
   -p 3000:3000 \
   --add-host=host.docker.internal:host-gateway \
   grafana/grafana

3. Add a data source of Prometheus type.

   Open your web browser and go to http://0.0.0.0:3000. Log in with the user name admin and password admin first, and then add a data source of Prometheus type on Configuration > Data Sources > Add data source.

   Please note that set the URL to http://host.docker.internal:9090 for the data source.

   

4. Create dashboards.

   Databend recommend import the files in

   datafuselabs/helm-charts - dashboards

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   to create your dashboards. To do so, download the files first, then go to http://0.0.0.0:3000/dashboard/import to import the downloaded files one by one and select the Prometheus data source for each dashboard.