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dt-app-dashboards

Automate creation, modification, and analysis of Dynatrace dashboards via JSON.

2|Updated Apr 23, 2026
Search Tags:#data visualization#dashboard#observability#service monitoring#dynatrace
One-click install
npx skills add https://github.com/pvellido1/traces-flow --skill dt-app-dashboards-pvellido1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dt-app-dashboards
Source: https://github.com/pvellido1/traces-flow/tree/main/.github/skills/dt-app-dashboards
Command: npx skills add https://github.com/pvellido1/traces-flow --skill dt-app-dashboards-pvellido1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the creation, modification, and analysis of Dynatrace dashboards, streamlining the process of visualizing and interpreting complex observability data.

Core Features & Use Cases

  • Dashboard Creation and Modification: Build and update dashboards with ease, integrating various data sources and visualizations.
  • Dashboard Analysis: Analyze dashboard structures, purposes, and metrics coverage to ensure comprehensive observability.
  • Use Case: For a DevOps team, this Skill allows for the creation of custom dashboards that monitor service performance, identify bottlenecks, and provide insights into the overall health of the system.

Quick Start

Use the dt-app-dashboards skill to create a new dashboard that displays service performance metrics.

Frequently Asked Questions about dt-app-dashboards

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate the creation of Dynatrace dashboards?▼

Automate Dynatrace dashboard creation by using scripts to configure tiles and manage variables via the dashboard JSON schema. This requires Dynatrace API access to programmatically build and update observability visualizations.

What is the best way to analyze a Dynatrace dashboard JSON structure?▼

Analyzing a Dynatrace dashboard JSON structure involves inspecting the document schema to evaluate metrics coverage and tile configuration. This process identifies the visualizations present and ensures comprehensive service monitoring.

How do I modify existing Dynatrace dashboards programmatically?▼

Modify existing Dynatrace dashboards programmatically by executing API queries and updating the JSON document structure. This allows precise alteration of tile configurations and variables without manual UI intervention.

Do I need Python to manage Dynatrace dashboard configurations?▼

Python is required to run the scripts that manage Dynatrace dashboard configurations. The automation scripts rely on Python to interact with the Dynatrace API and process the dashboard JSON schema.

Can I execute Dynatrace API queries to update service monitoring tiles?▼

You can execute Dynatrace API queries to update service monitoring tiles by modifying the dashboard JSON. This enables dynamic data visualization and precise configuration of observability metrics for DevOps teams.

What are the limitations of automating Dynatrace dashboard modifications?▼

Automating Dynatrace dashboard modifications requires a solid understanding of the dashboard JSON schema and valid API access. Complex tile configurations may fail if the JSON structure is not properly formatted before execution.

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