How to work with multiple data sources in Grafana dashboards: best practices to get started

Grafana dashboards offer a versatile platform for visualizing and correlating data from various sources, enabling users to troubleshoot efficiently, make informed decisions, and optimize monitoring processes. These dashboards are composed of panels that transform raw data into visualizations using data source plugins, queries, and optional transformations. Users can construct complex visualizations by employing multiple queries from the same source, joining disparate data frames through transformations, and executing mixed-source queries for different data formats and databases. Grafana supports over 150 data source plugins, allowing for a wide range of integrations, while its open-source nature and flexible transformations enable database-like operations within the platform. To enhance performance when dealing with large data volumes, it's advisable to filter data at the database layer before importing it into Grafana. For those seeking to explore more about Grafana's capabilities, comprehensive documentation and community-submitted dashboards offer valuable resources, and Grafana Cloud provides an accessible way to begin using metrics, logs, traces, and dashboards.

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