Node.js on Commentary of Takao

Node.js 效能監控：重要的指標

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

Node.js 效能監控需要採用與傳統伺服器環境不同的方法。單線程事件循環、垃圾收集記憶體模型和非同步 I/O 創建了通用 CPU 和記憶體指標無法單獨捕獲的獨特故障模式。本文介紹了保持 Node.js 應用程式在生產環境中平穩運行所需的基本指標和工具。

Node.js Logging 最佳 Practices: 架構d 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.

Node.js 工作執行緒：平行處理實踐

Tue, 23 Apr 2024 00:00:00 +0900

Node.js 傳統上是單線程的，並依賴非同步 I/O 來實現並發。雖然此模型擅長處理 I/O 密集型工作負載，但 CPU 密集型操作會阻止事件循環並降低應用程式回應能力。在 Node.js 12 中穩定的工作執行緒透過在單獨的 V8 隔離中執行 JavaScript 來在單一進程中提供真正的平行執行。本文介紹了在生產中使用工作執行緒的實用模式。

Node.js Streams: Practical 指南 for Data Processing

Wed, 20 Dec 2023 00:00:00 +0900

Node.js streams are one of the most powerful yet underutilized features of the platform. They enable processing data piece by piece as it arrives, rather than loading entire datasets into memory. This makes them essential for working with large files, network communication, and real-time data transformation. This guide covers stream fundamentals and practical patterns for building robust data pipelines.

Understanding Stream Types

Node.js provides four fundamental stream types, each serving a distinct role in data processing pipelines.