# dt-obs-frontends

> Claude/Codex skill by [@dynatrace](https://omgskills.com/library/dynatrace/index.md) · 164 stars · Updated 2026-10-01

Real User Monitoring (RUM) on Dynatrace — web and mobile frontends. Core Web Vitals, user sessions, page performance, mobile crashes, frontend errors, and frontend-backend linking. Query via \`user.events\`, \`user.sessions\`, and \`dt.frontend.\*\` metrics. Does NOT cover synthetic monitoring (HTTP/browser/network checks) — that's a separate domain.

Tags: agent-skills, ai-agents, claude-code, devops, dql, dynatrace, mcp, observability

## Install

```sh
git clone https://github.com/Dynatrace/dynatrace-for-ai /tmp/dynatrace-for-ai && ln -s /tmp/dynatrace-for-ai/skills/dt-obs-frontends ~/.claude/skills/dt-obs-frontends
```

## From README

Frontend Observability (RUM) Monitor web and mobile frontends using Real User Monitoring with DQL. Targets RUM on the latest Dynatrace — do not use RUM Classic data. Concepts and data model: https://docs.dynatrace.com/docs/observe/digital-experience/new-rum-experience/concepts Data Model Three data sources, each for a different question: | Source | Use for | Granularity | |--------|---------|-------------| | timeseries dt.frontend. | Trends, dashboards, alerting | Aggregated metric | | fetch user.events | Root cause, individual page views / requests / clicks / errors | Per-event | | fetch user.sessions | Bounce rate, session duration, session-level aggregates | Per-session | Rule of thumb: start with metrics for the shape of the problem, drill into events for the why. Use sessions when the question is about user journeys, not individual interactions.

## Links

- HTML page: https://omgskills.com/skills/dynatrace/dynatrace-for-ai/dt-obs-frontends/
- GitHub: https://github.com/Dynatrace/dynatrace-for-ai
- Author: [@dynatrace](https://omgskills.com/library/dynatrace/index.md)

## More from this repo

- [dt-obs-analytics](https://omgskills.com/skills/dynatrace/dynatrace-for-ai/skills/dt-obs-analytics/index.md) — Used to analyze dashboards and notebooks using Davis analyzers — anomaly detection, novelty scoring, and correlation.
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   - [@dynatrace](https://omgskills.com/library/dynatrace/index.md) · 167 stars