What Is a Grafana Dashboard JSON File
A Grafana dashboard JSON file is the machine-readable representation of an entire dashboard. It contains every panel, row, templating variable, data source reference, and layout setting in a single structured document. When you export a dashboard in Grafana, the platform generates this JSON, which can then be shared, version-controlled, or re-imported into another Grafana instance.
More from this site
Keep reading the latest coverage
Understanding the JSON structure matters because it reveals how Grafana stores configuration internally. Panels are defined as objects with a type field, a grid position, and a targets array that specifies queries against a data source. Rows group panels together, and the dashboard-level settings control time ranges, refresh intervals, and templating behavior.
Anatomy of a Dashboard JSON Object
The top-level keys in a Grafana dashboard JSON file follow a consistent pattern across versions. The panels array holds every visualization, while the templating object manages variables that let users filter data dynamically. The schemaVersion field tracks which Grafana version wrote the file, and the uid provides a stable identifier for imports and updates.
Each panel object includes a gridPos property that defines its position and size on the dashboard canvas, a type field such as graph, table, or stat, and a targets array containing query definitions. The fieldConfig object controls how data is displayed, including thresholds, units, and color modes.
Exporting a Dashboard as JSON
To export a dashboard, open it in Grafana and click the dashboard settings icon. Select JSON Model from the menu to view the JSON representation, or choose Export to download a file. Grafana offers several export options, including sharing a snapshot, exporting for external display, or downloading the raw JSON file.
The exported JSON includes all panel queries, overrides, and annotations but may exclude sensitive data source credentials, depending on your Grafana configuration and export settings. If you are exporting a dashboard to move it between environments, verify that the target data sources exist and have matching names or use templating variables to make the dashboard portable.
Importing a Dashboard from JSON
Importing a Grafana dashboard JSON file is the reverse process. From the Grafana home screen, click Import and either paste the JSON directly into the text box or upload a .json file. Grafana validates the structure, maps data sources if possible, and creates the dashboard with all panels and variables intact.
During import, Grafana attempts to match data sources by name. If a name does not exist, it leaves the data source unresolved and may display warnings. You can review and adjust these mappings before completing the import. Once imported, the dashboard inherits the JSON's layout, refresh interval, and time zone settings unless overridden by folder or organization defaults.
Version Control and Automation with Dashboard JSON
Storing Grafana dashboard JSON files in a version control system such as Git enables teams to track changes, review diffs, and roll back to previous versions. Each dashboard becomes a code artifact that can be reviewed alongside infrastructure-as-code configurations.
Several tools and workflows automate dashboard management using JSON files. The Grafana CLI and provisioning system can load dashboards from files on disk, allowing CI pipelines to deploy updated dashboards automatically. When using this approach, the JSON file is the source of truth, and the Grafana instance reads it on startup or reload.
Common Pitfalls and Best Practices
One common issue is hard-coded data source names inside panel queries. If the source name differs between environments, the dashboard will show missing data after import. Using templating variables or data source UID references reduces this risk. Another consideration is schema compatibility: a dashboard exported from a newer Grafana version may contain fields or features that an older version cannot parse.
To keep dashboard JSON files manageable, avoid including unnecessary overrides and keep panel queries concise. Use descriptive titles and consistent naming conventions for variables and data sources. When sharing dashboards externally, strip any internal identifiers or sensitive annotations that should not leave your organization.