From the Introduction section, you know it is not feasible to instrument MySQL with Prometheus metrics directly. To expose MySQL metrics in Prometheus format, you need to deploy MySQL Exporter first.
This tutorial demonstrates how to monitor and visualize MySQL metrics.
- You need to enable the App Store. MySQL and MySQL Exporter are available in the App Store.
- You need to create a workspace, a project, and a user (
project-regular) for this tutorial. The user needs to be invited to the project with the
operatorrole. For more information, see Create Workspaces, Projects, Users and Roles.
Step 1: Deploy MySQL
To begin with, you need to deploy MySQL from the App Store.
Go to your project and click App Store in the upper-left corner.
Click MySQL to go to its details page and click Install on the App Information tab.
NoteMySQL is a built-in app in the KubeSphere App Store, which means it can be deployed and used directly once the App Store is enabled.
Under Basic Information, set a Name and select a Version. Select the project where the app is deployed under Location and click Next.
Under App Settings, set a root password by uncommenting the
mysqlRootPasswordfield and click Install.
Wait until MySQL is up and running.
Step 2: Deploy MySQL Exporter
You need to deploy MySQL Exporter in the same project on the same cluster. MySQL Exporter is responsible for querying the status of MySQL and reports the data in Prometheus format.
Go to App Store and click MySQL Exporter.
On the details page, click Install.
Under Basic Information, set a Name and select a Version. Select the same project where MySQL is deployed under Location and click Next.
serviceMonitor.enabledis set to
true. The built-in MySQL Exporter sets it to
trueby default, so you don't need to manually change the value of
WarningYou must enable the ServiceMonitor CRD if you are using external exporter Helm charts. Those charts usually disable ServiceMonitors by default and require manual modification.
Modify MySQL connection parameters. MySQL Exporter needs to connect to the target MySQL. In this tutorial, MySQL is installed with the service name
mysql-dh3ily. Navigate to
mysqlin the configuration file, and set
root. Note that your MySQL service may be created with a different name. After you finish editing the file, click Install.
Wait until MySQL Exporter is up and running.
Step 3: Create a Monitoring Dashboard
You can create a monitoring dashboard for MySQL and visualize real-time metrics.
In the same project, go to Custom Monitoring under Monitoring & Alerting in the sidebar and click Create.
In the displayed dialog box, set a name for the dashboard (for example,
mysql-overview) and select the MySQL template. Click Next to continue.
Save the template by clicking Save Template in the upper-right corner. A newly-created dashboard is displayed on the Custom Monitoring Dashboards page.
The built-in MySQL template is provided by KubeSphere to help you monitor MySQL metrics. You can also add more metrics on the dashboard as needed.
For more information about dashboard properties, see Visualization.
Was this page Helpful?
Receive the latest news, articles and updates from KubeSphere
Thanks for the feedback. If you have a specific question about how to use KubeSphere, ask it on Slack. Open an issue in the GitHub repo if you want to report a problem or suggest an improvement.