Streams and Clusters in Node.js

This project demonstrates the use of Streams and Clusters in Node.js to handle large-scale data processing and optimize performance using multi-core CPUs.

Features

• Stream-based file reading and writing.
• Transform streams for real-time data processing.
• Cluster module for parallel processing using multiple CPU cores.
• Graceful worker management and process communication.

Technologies Used

• Node.js
• Built-in modules: fs, stream, cluster, os

Concepts

- Streams

• Efficient for processing large files/data.

• Types: Readable, Writable, Duplex, Transform.

• Reduce memory consumption and improve performance.

- Clusters

• Create child processes (workers) to utilize multi-core CPUs.

• Master process manages load distribution.

• Useful for scaling server applications.

Note :

• Make sure your system has multiple CPU cores to see cluster benefits.

• Ideal for large data pipelines and scalable server architectures.

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