NodeJS Advanced: Process, Thread, Race Condition, Websockets

所在平台: Udemy

课程主页: https://www.udemy.com/course/advanced-nodejs/

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课程名称:NodeJS 高级:进程、线程、竞争条件、Websockets 课程概述: 本课程深入探讨 Node.js 的工作原理,帮助学习者掌握其内部机制及与操作系统的互动。如果你已经在使用 Node.js,但对其内部细节不甚了解,这门课程将非常适合你。课程内容超越了基础用法,涵盖了进程管理、内存处理和并发等知识。通过学习如何高效处理 I/O 操作、管理线程以及合理利用系统资源,你将能够编写出更优化、可扩展和可靠的 Node.js 应用程序。 学习内容: 1. 操作系统基础: - RAM、硬盘和 CPU 在程序执行中的角色 - 程序与进程的区别及各种进程状态 - 多程序设计与资源的高效利用 - 解释抢占式与非抢占式调度 - 程序计数器的意义 - 上下文切换的幕后工作原理 2. Node.js 内部机制: - 理解 V8 如何执行 JavaScript - Libuv 在处理异步操作中的角色 - 编译与解释的区别及即时编译(JIT) 3. 并发与性能优化: - I/O 任务与 CPU 任务的区别及 Node.js 如何处理非阻塞 I/O - 使用子进程来分担工作 - 使用集群进行横向扩展 - 使用工作线程以实现并行执行 - 理解和缓解竞争条件 通过本课程的学习,你将能够更深入地了解 Node.js 的运行机制,从而提升你的开发技能和应用程序性能。

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NodeJS Deep Dive: Mastering Internals & System InteractionsHave you been working with NodeJS for a while but don't really understand it?Discover how Node.js truly works under the hood by exploring its internal mechanisms and its interaction with the operating system. This course goes beyond basic usage, providing knowledge of process management, memory handling, and concurrency. You'll learn how Node.js efficiently handles I/O operations, manages threads, and utilizes system resources to deliver high-performance applications. By understanding these core concepts, you'll be able to write more optimized, scalable, and reliable Node.js applications.What You'll Learn:Operating System Fundamentals:The role of RAM, Hard Drive, and CPU in program executionPrograms vs. Processes and different process statesMulti-programming and efficient resource utilizationPreemptive vs. Non-preemptive Scheduling explainedThe Program Counter and its significanceHow Context Switching works behind the scenesNode.js Internals:Understanding V8 and how it executes JavaScriptThe role of Libuv in handling asynchronous operationsCompilation vs. Interpretation and JIT (Just-in-Time) CompilationConcurrency & Performance Optimization:I/O Tasks vs. CPU Tasks and how Node.js handles Non-blocking I/OUsing Child Processes to offload workScaling with ClustersWorker Threads for parallel executionUnderstanding and mitigating Race Conditions

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