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Node.JS

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Node.JS
Developer
Ryan Dahl
Initial Release
2009
Programming Language
JavaScript (on V8 Engine)
Working Time
Google V8
Architecture
Single ThreadedEvent DrivenAsynchronous I/O
Package Manager
npm
Main Areas of Use
Web ServersAPIsReal-Time ApplicationsMicroservice Architectures

Node.js is an open source runtime for running server-side JavaScript. Introduced in 2009 by Ryan Dahl, it is built on Google's V8 JavaScript engine. Node.js is especially preferred for developing scalable and real-time web applications that require high performance. Thanks to its single-threaded, event-driven and asynchronous I/O model, it offers a more efficient structure compared to traditional server architectures.

Architectural Structure and Basic Components

Event Loop and Asynchronous Operation

Unlike traditional multi-threaded server architectures, the event loop, which is the foundation of Node.js, runs on a single thread. This structure queues each incoming request and triggers the relevant callback functions when I/O operations are complete. This allows it to process thousands of requests at the same time, ensuring high efficiency.

Libuv and Thread Pool

Node.js uses a C-based library called libuv to manage low-level I/O operations. Libuv redirects blocking operations, such as file system operations, to a pool of threads running in the background. This prevents the main thread from blocking and reduces application response time.

V8 JavaScript Engine

Node.js uses the V8 JavaScript engine developed by Google. V8 compiles JavaScript code directly into machine code, enabling the development of high-performance applications. In addition, the continuously updated nature of V8 contributes to the increased performance of Node.js.

Performance and Scalability

The asynchronous and event-driven nature of Node.js provides performance advantages in high-traffic applications. Various performance tests have shown that Node.js offers lower memory usage and faster response times compared to traditional server technologies. However, CPU-intensive processes may experience performance degradation due to its single-threaded nature. In such cases, the advantages of multi-core processors can be exploited by using a "cluster" module or external processes.

Usage Areas

Node.js is used in various fields:


  • Real Time Applications: It is preferred for applications that require instant data flow such as chat applications, live streaming platforms and games.
  • API Development: Widely used in the development of RESTful and GraphQL APIs.
  • Microservice Architectures: Thanks to its lightweight and modularity, it can be used effectively in microservice-based systems.
  • Server Side Web Applications: In combination with frameworks such as Express.js, it is used in the development of dynamic web applications.

Security and Vulnerabilities

The widespread use of Node.js requires careful consideration of security vulnerabilities. In particular, vulnerabilities such as prototype pollution and remote code execution (RCE) can pose serious security risks in Node.js applications. To prevent such vulnerabilities, secure coding standards should be followed and up-to-date security patches should be regularly applied.

Community and Ecosystem

Node.js has a large community and a rich ecosystem. Through npm (Node Package Manager), thousands of open source packages and modules are available to developers. In this way, the application development process is accelerated and solutions for various needs can be easily integrated.

Bibliographies

Chhetri, Nimesh. "A Comparative Analysis of Node.js (Server-Side JavaScript)." Culminating Projects in Computer Science and Information Technology, 2016. Erişilme Tarihi: 11 Mayıs 2025. https://core.ac.uk/download/pdf/232792216.pdf

Jadhav, Ghansham ve Flavia Gonsalves. "Role of Node.js in Modern Web Application Development." International Research Journal of Engineering and Technology (IRJET), 2020. Erişilme Tarihi: 11 Mayıs 2025. https://www.irjet.net/archives/V7/i6/IRJET-V7I61149.pdf

Kinnunen, Janne. "Designing a Node.js Full Stack Web Application." Theseus, 2023. Erişilme Tarihi: 11 Mayıs 2025. https://www.theseus.fi/bitstream/handle/10024/793330/Kinnunen_Janne.pdf?sequence=2

Made Sunia Raharja, Putu Agus Eka Pratama. "Node.js Performance Benchmarking and Analysis at Virtualbox, Docker and Podman Environments." Journal of Informatics and Virtualization, 2020. Erişilme Tarihi: 11 Mayıs 2025. https://joiv.org/index.php/joiv/article/viewFile/1762/793

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Main AuthorOkan KanpolatMay 24, 2025 at 10:18 AM
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