What is Real User Monitoring (RUM)?

RUM is a passive monitoring technology that records all user interactions with a website or client to determine if service is being delivered at promised levels.

Which platforms does this skill help set up?

It provides guidance and implementation strategies for popular platforms including Google Analytics, Datadog RUM, New Relic, and others.

Does it handle privacy regulations?

The skill includes best practices for ensuring data collection complies with global privacy regulations like GDPR and CCPA.

Can I track custom events like checkout time?

Absolutely. The skill assists in designing and generating JavaScript code to measure specific user journey durations and custom performance milestones.

Does this skill support Core Web Vitals?

Yes, the skill specifically helps implement tracking for metrics like Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS).

Real User Monitoring (RUM) Implementation

Name: Real User Monitoring (RUM) Implementation
Author: BbgnsurfTech

byBbgnsurfTech

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分析与监控

Implements comprehensive Real User Monitoring to capture live performance metrics and optimize user experience data through Core Web Vitals and custom event tracking.

关于

This skill facilitates the end-to-end setup of Real User Monitoring (RUM) for web applications, enabling developers to capture actual performance data from live users. It provides expert guidance on selecting appropriate RUM platforms like Datadog or New Relic, designing instrumentation strategies for Core Web Vitals, and generating the necessary tracking code for custom performance events. By monitoring metrics such as Largest Contentful Paint (LCP) and Cumulative Layout Shift (CLS), this skill helps teams identify performance bottlenecks and improve overall site responsiveness based on real-world usage patterns rather than synthetic tests.

主要功能

Custom performance event instrumentation and design
Core Web Vitals tracking implementation (LCP, FID, CLS)
3 GitHub stars
Privacy compliance and data sampling best practices
Platform selection guidance for RUM tools like Datadog and New Relic
JavaScript tracking code generation and error handling

使用场景

Optimizing user experience by tracking and improving Core Web Vitals
Measuring business-specific metrics like checkout completion time
Setting up performance monitoring for a new production web application

关于

主要功能

Custom performance event instrumentation and design
Core Web Vitals tracking implementation (LCP, FID, CLS)
3 GitHub stars
Privacy compliance and data sampling best practices
Platform selection guidance for RUM tools like Datadog and New Relic
JavaScript tracking code generation and error handling

使用场景

Optimizing user experience by tracking and improving Core Web Vitals
Measuring business-specific metrics like checkout completion time
Setting up performance monitoring for a new production web application