Visualize Data Using Grafana

Discover how to connect Grafana to data sources and databases, configure time-series data sources like MySQL and PostgreSQL, and build dashboards to visualize the data.

Learn to connect Grafana to a time-series data source, select columns and time ranges, and build a dashboard panel with a graph to visualize product sales over time.

discover how to create multiple data series in Grafana by connecting to a table, setting time as the x-axis, and adding a second series for price and category data.

Build a Grafana dashboard by connecting data sources, crafting queries such as selecting product names from transactions, and configuring panels to display data in a table format for clear visualization.

Explore using Grafana's table panel to display high/low temperature and humidity, set time ranges, and apply thresholds and colors for clear data visualization.

Explore Grafana table panel transforms to compute max, min, and average values, filter and rename columns, and apply thresholds and color rules for clear, dynamic data presentation.

Create a text panel in Grafana to present external content on a dashboard, learn to configure a non-data-source panel, add text, images, and navigate between panels.

Explore the geo map panel in Grafana with the Grafana 8.3 update to visualize location data on a world map using country, latitude, and longitude.

Learn how alerts work in Grafana, including configuring alert rules, evaluation intervals, and email notifications for dashboards.

Create a Grafana alert on a dashboard panel, configure evaluation frequency and time range, set a threshold condition for the query, and explore alert history and notification options.

Explore how to configure Grafana alerting by creating notification channels, especially email, setting default channels, testing notifications, and customizing alert messages and images.

Learn to turn static panel designs into dynamic dashboards in Grafana by declaring and using variables, including data, custom, constant, and interval, to drive panel behavior.

Learn to set up and use query, custom, and constant variables in Grafana, connecting panels to dynamic dashboards, time ranges, and templates for responsive visualizations.

Learn to view, compare, and restore Grafana dashboards across versions. Track version numbers, dates, and authors; identify panel changes and settings differences.

Learn to connect your application to Grafana via HTTP API, using POST and GET requests, basic authorization, and user management to configure dashboards and alerts.

Explore the Grafana CLI to manage plugins, install and update them, and perform admin tasks such as listing available plugins, checking installed ones, and resetting the admin password.

Log in as admin to create users, assign roles and permissions, and tailor dashboard access so some users can view only while others edit or manage panels.

Learn how to manage grafana users and assign per-user permissions to view or edit dashboards, including customizing permissions for individual dashboards and using admin controls.

Create and manage teams in Grafana by adding members, defining team-level permissions, and applying those permissions to all team members, then review team settings and future permission configurations.

Learn how teams simplify permission management by assigning access to a group rather than individual users, and explore configuring sales team permissions on dashboards and data panels.

Organize dashboards by creating folders, move dashboards to development and sales, and apply per-team permissions to control who can view or edit dashboards.

Learn to monitor your application with Prometheus and visualize metrics in Grafana. Integrate Prometheus modules, such as node exporter and alertmanager, with a Spring Boot app for graphical dashboards.

Explore Prometheus, an open source monitoring and alerting toolkit, its pull-based architecture, and why continuous application monitoring ensures 24/7 availability, performance, and a positive user experience.

Explore Prometheus architecture, from client libraries and exporters to service discovery, scraping, internal storage, rules and alerts, and visualization with Grafana.