Sentry Performance Monitoring FAQs

Question 1

Does it support frontend Web Vitals?

Accepted Answer

Absolutely. It includes configurations for browserTracingIntegration to automatically capture LCP, FID, CLS, and other critical user experience metrics.

Question 2

How does this skill help with distributed tracing?

Accepted Answer

It provides standardized patterns for propagating trace contexts, such as sentry-trace and baggage headers, across frontend and backend services to ensure a continuous view of user requests.

Question 3

Is profiling covered for backend services?

Accepted Answer

Yes, it provides specific setup instructions for Node.js profiling to help identify CPU-intensive functions and performance bottlenecks at the source code level.

Question 4

Can I control the volume of performance data sent to Sentry?

Accepted Answer

Yes, the skill includes implementation patterns for both static and dynamic sampling, allowing you to prioritize high-value transactions like checkouts while filtering out low-priority data like health checks.

Question 5

How do custom metrics work with this skill?

Accepted Answer

It guides you through using Sentry's metrics API to track business-specific data points like button clicks, cart values, and active user counts alongside technical performance data.

Sentry Performance Monitoring

主要功能

使用场景

Sentry Performance Monitoring

主要功能

使用场景