Visualize with Grafana

The Visualize page provides access to Grafana dashboards for advanced monitoring and analysis of your Kafka data streams. Aurora comes with a preconfigured Grafana instance, so you can start exploring your data with professional-grade visualizations immediately.

Steps

1. Access the Visualize Page
   • Navigate to /visualize in your web browser, or click Visualize in the sidebar.
   • The page provides a link to your preconfigured Grafana instance.
2. Open or Create a Dashboard
   • Select an existing dashboard, organized by data type and use case.
   • Or create a new one by clicking + New Dashboard.
3. Customize Your View
   • Adjust time ranges using the time picker.
   • Apply filters to narrow your data.
   • Switch between visualization types (tables, graphs, heatmaps, etc.).
4. Add Custom Queries
   • Click Add Panel to create a new visualization.
   • Use the query editor to write custom ClickHouse queries.
   • Choose from chart types such as line, bar, or pie.
5. Save and Share
   • Save dashboards with descriptive names.
   • Share dashboards via links or snapshots.
   • Export data or images as needed.

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Grafana Basics

• Time Range: Use the picker in the top-right corner.
• Refresh: Click the refresh button to update data.
• Fullscreen: Use the fullscreen icon or press F11.
• Edit Panel: Click any panel and select Edit.

Quick Grafana Tips

• Use $__timeFilter() for automatic time filtering.
• Leverage ClickHouse functions like uniq(), quantile(), and groupArray().
• Create template variables for dynamic filtering.
• Enable auto-refresh for real-time monitoring.

Learn More

• Grafana Documentation
• ClickHouse Data Source Guide
• Dashboard Best Practices