Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations.

Dynatrace Dashboard Skill Overview Dynatrace dashboards are JSON documents stored in the Document Store containing tiles (content/visualizations), layouts (grid positioning), and variables (dynamic query parameters). When to use: Creating, modifying, querying, or analyzing dashboards. Dashboard JSON Structure Tile IDs in tiles must match IDs in layouts Grid is 24 units wide. Common widths: 24 (full), 12 (half), 6 (quarter) Two tile types: markdown (text content) and data (DQL query + visualization) Optional content properties: settings , refreshRate , annotations Reading & Analyzing Fetch full content with dtctl get dashboard <id o json plain ( describe returns metadata only), then inspect the JSON to discover its available properties. Carefully read [references/analyzing.md](references/analyzing.md) before analyzing. Create/Update Workflow (Mandatory Order) Carefully follow the workflow described in [references/create update.md](references/create update.md). Key rules: Load domain skills BEFORE generating queries — do not invent DQL Validate ALL queries before adding to dashboard No time range filters in queries unless explicitly requested by user Set name before deploying Updating — ALWAYS download first: dtctl get dashboard <id o json plain dashboard.json , modify, then deploy the downloaded file. Never reconstruct JSON from scratch or inject an id manually — both silently overwrite any UI edits the user made since last deployment. Deploy with dtctl apply — validation runs automatically, and the local file is deleted on success. Visualization Types Time series (require timeseries / makeTimeseries ): lineChart , areaChart , barChart , bandChart Categorical ( summarize ... by:{field} ): categoricalBarChart , pieChart , donutChart Single value/gauge (single numeric record): singleValue , meterBar , gauge Tabular (any data shape): table , raw , recordList Distribution/status : histogram , honeycomb Maps : choroplethMap , dotMap , connectionMap , bubbleMap Matrix : heatmap , scatterplot Required field types per visualization: [references/tiles.md](references/tiles.md) Variables Quick Reference Single select: filter service.name == $Service Multi select: filter in(service.name, array($Service)) Types: query (DQL populated), csv (static list), text (free form) Full variable reference: [references/variables.md](references/variables.md) References File When to Load [create update.md](references/create update.md) Creating/updating dashboards [tiles.md](references/tiles.md) Tile types, visualization field requirements, settings [variables.md](references/variables.md) Variable types, replacement strategies, patterns [analyzing.md](references/analyzing.md) Reading dashboards, extracting queries, health assessment

dt-app-dashboards