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dt-obs-frontends

Query RUM data to analyze Core Web Vitals, sessions, errors, and traces.

Updated Aug 27, 2026
Search Tags:#frontend#mobile#observability#web-vitals#trace-correlation#rum
One-click install
npx skills add https://github.com/virtualrussel/dynatrace-ai-workspace --skill dt-obs-frontends-virtualrussel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dt-obs-frontends
Source: https://github.com/virtualrussel/dynatrace-ai-workspace/tree/main/.agents/skills/dt-obs-frontends
Command: npx skills add https://github.com/virtualrussel/dynatrace-ai-workspace --skill dt-obs-frontends-virtualrussel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Real User Monitoring (RUM) and frontend observability across web and mobile are often scattered across separate tools and data sources. This Skill provides a unified interface to query and analyze frontend telemetry, including Core Web Vitals, user sessions, frontend errors, and mobile crashes, enabling faster insights and remediation.

Core Features & Use Cases

  • Monitor Core Web Vitals and frontend performance, track user sessions and engagement, and correlate frontend events with backend traces.
  • Analyze errors (JavaScript exceptions, frontend failures) and mobile crash analytics with cross-silo context to identify root causes.
  • Perform end-to-end diagnostics by combining timeseries metrics and event data to surface performance bottlenecks and UX issues across web and mobile.

Quick Start

Start by selecting a frontend (frontend.name) and run a basic query to surface LCP, INP/FID, CLS, error counts, and session activity for the last 2 hours.

Frequently Asked Questions about dt-obs-frontends

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

FAQPage Schema
How do I monitor Core Web Vitals and frontend performance using RUM data?▼

Monitor Core Web Vitals by querying RUM data to surface LCP, INP, CLS, error counts, and session activity for web and mobile frontends over a specific time window. This tracks user engagement and identifies performance issues.

Can I correlate frontend errors with backend traces for end-to-end diagnostics?▼

Yes, you can correlate frontend events with backend traces. By combining metric-based and event-based data, you perform end-to-end diagnostics to surface performance bottlenecks and identify root causes.

What is the best way to analyze mobile crashes and JavaScript exceptions together?▼

Analyze mobile crashes and JavaScript exceptions by querying unified frontend observability telemetry. This provides cross-silo context to diagnose frontend failures and user experience problems across web and mobile.

How do I get started querying frontend observability data for a specific web application?▼

Start querying frontend observability by selecting a specific frontend name, then run a basic query to surface LCP, INP, CLS, error counts, and session activity for the last two hours to assess current reliability.

Does this approach support both metric-based and event-based data for web and mobile frontends?▼

Yes, this approach supports both metric-based and event-based data for web and mobile frontends. Applying timeseries metrics and event data enables detailed diagnostics and tracking of user sessions.

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