dt-app-dashboards

分类: 数据与AI | 上传者: Dynatrace | 下载: 0 | 版本: v1.0（最新）
使用 Dynatrace 仪表板 - 创建、修改、查询和分析仪表板 JSON，包括磁贴、布局、DQL 查询、变量和可视化。支持仪表板创建、更新、数据提取、结构分析和最佳实践。
更新日志: Source: GitHub https://github.com/Dynatrace/dynatrace-for-ai
目录结构

当前层级: tree/main/skills/dt-app-dashboards/
📁 references/
- 📄 analyzing.md 11.6 KB
- 📄 create-update.md 16.2 KB
- 📄 layouts.md 2.3 KB
- 📄 tiles.md 12.2 KB
- 📄 variables.md 12.5 KB
📄 SKILL.md 8.2 KB
SKILL.md

---
name: dt-app-dashboards
description: Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations. Supports dashboard creation, updates, data extraction, structure analysis, and best practices.
license: Apache-2.0
---

# Dynatrace Dashboard Skill

## Overview

Dynatrace dashboards are JSON documents stored in the Document Store. Each
dashboard contains:

- **Tiles**: Visual components displaying markdown content or data
  visualizations
- **Layouts**: Grid-based positioning (20-unit width) defining tile placement
- **Variables**: Dynamic parameters (`$VariableName`) for query filtering
- **Configuration**: Version metadata and dashboard-level settings

**When to use this skill:**

- Creating new dashboards with skill-based query generation
- Modifying existing dashboards (queries, tiles, layouts)
- Querying dashboard JSON to extract data or analyze structure
- Analyzing dashboard purpose, metrics coverage, and health

**Four main workflows:**

1. **Creating** - Build dashboards with skill-based queries
2. **Modifying** - Update tiles, queries, layouts, variables
3. **Querying** - Extract data from dashboard JSON
4. **Analyzing** - Understand structure, purpose, gaps, and health

## Dashboard Document Structure

Dashboards in the Dynatrace Document Store include both metadata and content:

```json
{
  "id": "dashboard-abc123",
  "name": "My Dashboard",  
  "type": "dashboard",
  "owner": "user-uuid",
  "version": 60,
  "modificationInfo": {...},
  "content": {
    "version": 21,
    "variables": [],
    "tiles": {...},
    "layouts": {...}
  }
}
```

**Metadata (top-level):**

- `.id` - Document ID
- `.name` - Dashboard name
- `.owner` - Owner UUID
- `.version` - Document version (change tracking)
- `.modificationInfo` - Creation/modification timestamps

**Dashboard content (`.content`):**

- `.content.version` - Dashboard schema version (current: 21)
- `.content.tiles` - Tile definitions
- `.content.layouts` - Tile positioning
- `.content.variables` - Dashboard variables

All jq examples in this skill use the `.content.*` paths.

---

## When to Load References

This skill uses **progressive disclosure** - load only what you need:

- **Start here:** SKILL.md provides core concepts and quick-start examples
- **Load references on-demand:** Each reference file covers a specific
  deep-dive topic
- **Context efficiency:** Progressive loading enables task completion without
  external documentation

**Loading strategy:**

1. Try answering with just SKILL.md first
2. If you need detailed specifications or advanced patterns, load the
   relevant reference file
3. The "References" section below maps each file to its use case

> 💡 **Tip:** Reference files are linked throughout this document with `→`
> arrows pointing to when you should load them.

---

## Working with Dashboards

**For detailed workflows and mandatory requirements:**

- **Creating & Updating dashboards** → Load `references/create-update.md` for
  complete workflow, skill-based query generation, validation, and
  modification patterns
- **Analyzing dashboards** → Load `references/analyzing.md` for structure
  analysis, health assessment, and JSON extraction

**⚠️ MANDATORY for creation/modification:**

Follow this exact order (do not reorder):

1. Define purpose and load required skills, references and assets
2. Explore available data fields/metrics
3. Plan dashboard structure: logic, variables, tiles and layout
4. Design and validate all variable/tile DQL with `dtctl query "<DQL>" --plain`
5. Construct/update dashboard JSON
6. Validate the dashboard JSON structure and queries
7. Deploy the dashboard via the Dynatrace API

Full requirements and examples: `references/create-update.md`.

---

## Dashboard Structure

### Required Structure

```json
{
  "name": "My Dashboard",
  "type": "dashboard",
  "content": {
    "version": 21,
    "tiles": {},
    "layouts": {}
  }
}
```

**Optional properties inside content:**

- `variables` - Array of dashboard variables (filters/parameters)
- `settings` - Dashboard-level settings (grid layout, default timeframe)
- `refreshRate` - Dashboard refresh rate in milliseconds (e.g., 60000)
- `gridColumnsCount` - Number of grid columns (default: 20)
- `annotations` - Array of dashboard annotations

**Structure concept:** Variables define reusable parameters, tiles contain
content/visualizations, layouts control positioning. Each tile ID in `tiles`
must have a corresponding entry in `layouts`.

### Tiles Overview

> 📊 **For detailed tile specifications, visualization settings, and query
> configuration**, load `references/tiles.md`

**Markdown tiles:** `{"type": "markdown", "content": "# Title"}`
**Data tiles:** `{"type": "data", "title": "...", "query": "...",
"visualization": "..."}`

**Visualizations:**
- Time-series (MUST have time dimension via `timeseries`/`makeTimeseries`): `lineChart`, `areaChart`, `barChart`, `bandChart`
- Categorical (no time dimension, `summarize ... by:{field}`): `categoricalBarChart`, `pieChart`, `donutChart`
- Single value / gauge (single numeric record): `singleValue`, `meterBar`, `gauge`
- Tabular / raw (any data shape): `table`, `raw`, `recordList`
- Distribution / status: `histogram`, `honeycomb`
- Geographic maps: `choroplethMap`, `dotMap`, `connectionMap`, `bubbleMap`
- Matrix / correlation: `heatmap`, `scatterplot`

→ **See [references/tiles.md](references/tiles.md) for specifications**

### Layouts Overview

> 📐 **For complex layout patterns, grid system details, and positioning
> examples**, load `references/layouts.md`

**Grid:** 20 units wide. Common widths: Full (20), Half (10), Third (6-7),
Quarter (5)
**Properties:** `x` (0-19), `y` (0+), `w` (1-20), `h` (1-20)

**Example:** `{"1": {"x": 0, "y": 0, "w": 20, "h": 1}, "2": {"x": 0, "y": 1,
"w": 10, "h": 8}}`

→ **See [references/layouts.md](references/layouts.md) for patterns**

### Variables Overview

> 🔧 **For detailed variable configurations, replacement strategies,
> multi-select, and limitations**, load `references/variables.md`

**Definition:** `{"version": 2, "key": "ServiceFilter", "type": "query",
"visible": true, "editable": true, "input": "smartscapeNodes SERVICE | fields
name", "multiple": false, "defaultValue": "*"}`
**Usage (single-select):** `fetch logs | filter service.name == $ServiceFilter`
**Usage (multi-select):** `fetch logs | filter in(service.name, array($ServiceFilter))`

→ **See [references/variables.md](references/variables.md) for complete
property reference, replacement strategies (`:noquote`, `:backtick`), and
usage patterns**

---

## Validation

**⚠️ MANDATORY for create/update workflows:** Validate the dashboard JSON
before deploying. Check:

- **Schema structure** — required top-level keys (`name`, `type`, `content`)
  and content keys (`version`, `variables`, `tiles`, `layouts`)
- **Variable resolution** — all variable queries execute successfully
- **Tile query execution** — all tile DQL queries run without errors
- **Best-practice checks** — warnings for hardcoded time filters, CSV
  variables, etc.

→ Load `references/create-update.md` for full validation workflow.

---

## References

| Reference File | When to Use |
| -------------- | ----------- |
| [create-update.md](references/create-update.md) | Creating and updating dashboards - workflows, skill-based queries, validation, patterns |
| [tiles.md](references/tiles.md) | Tile types, visualization settings, query configuration, thresholds |
| [layouts.md](references/layouts.md) | Grid system details, layout patterns, positioning examples |
| [variables.md](references/variables.md) | Variable types, multi-select, default values, query integration |
| [analyzing.md](references/analyzing.md) | Structure analysis, purpose identification, health assessment, JSON extraction |

---

## Common Patterns & Best Practices

**Patterns:** Executive (header + KPIs + trends) · Service Health (RED
metrics) · Infrastructure (resource metrics + tables)

**Key rules:** Match tile IDs in `tiles` and `layouts` · Use descriptive
variable IDs · Start with full-width headers (y=0) · Optimize queries with
`limit`/`summarize` · Set version=21 · **No time-range filters in queries**
unless explicitly requested by the user
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dt-app-dashboards

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