Monitoring on Commentary of Takao

Web Performance Monitoring Tools Compared 2026

Wed, 08 Jul 2026 10:00:00 +0900

Why Lighthouse Is Not Enough

Lighthouse is an excellent diagnostic tool, but it only measures lab data, not real user experience. Standard practice in 2026 combines lab measurements with Real User Monitoring (RUM).

1. Web Vitals — Chrome UX Report and CrUX API

Google’s Chrome UX Report aggregates field data from real Chrome users. You can query it via API to analyze both your own and competitors’ sites.

const response = await fetch(
 'https://chromeuxreport.googleapis.com/v1/records:queryRecord?key=YOUR_KEY',
 {
 method: 'POST',
 body: JSON.stringify({
 origin: 'https://example.com',
 metrics: ['largest_contentful_paint', 'cumulative_layout_shift']
 })
 }
);

2. Sentry 성능

Well-known for error monitoring, Sentry also offers robust 성능 tracing. It captures transactions end-to-end, from frontend to backend, with automatic instrumentation for React and Next.js. Setup takes minutes.

Node.js Performance Monitoring: Metrics That Matter

Wed, 18 Dec 2024 00:00:00 +0900

Node.js 성능 monitoring requires a different approach than traditional 서버 environments. The single-threaded event loop, garbage-collected memory model, and asynchronous I/O create unique failure modes that generic CPU and memory metrics alone cannot capture. This article covers the essential metrics and tools you need to keep Node.js applications running smoothly in production.

Why Node.js 성능 Monitoring Is Different

Unlike multi-threaded servers where a slow operation blocks only one thread, a single CPU-heavy operation in Node.js blocks the entire event loop, stalling all concurrent requests. Garbage collection pauses can introduce unpredictable latency spikes. Common failure modes include event loop starvation, memory leaks from uncleaned closures, callback thrashing, and unhandled promise rejections silently swallowing errors. Understanding these characteristics is the first step toward effective monitoring.

Node.js Logging Best Practices: Structured and Scalable

Tue, 06 Aug 2024 00:00:00 +0900

Production-grade logging is one of the most overlooked aspects of Node.js application development. While console.log works for debugging locally, it falls apart in distributed environments where logs must be searchable, structured, and actionable. This article covers the essential patterns for building a logging strategy that scales.

Why Structured Logging

Traditional unstructured logging outputs plain text that is difficult to parse programmatically. Consider console.log("User logged in:", userId). Grepping this across hundreds of service instances is slow and error-prone. Structured logging outputs each log event as a JSON object, making it machine-readable and queryable by log aggregation systems.