Distributed systems have become increasingly popular in recent years due to their ability to scale horizontally and improve overall system performance. Node.js, with its lightweight, flexible, and scalable nature, has emerged as a popular choice for building distributed systems. This paper provided an overview of distributed systems, their architecture, and the role of Node.js in building scalable and efficient distributed systems. We also discussed the benefits and challenges of using Node.js for distributed systems and provided a guide on how to get started with building distributed systems using Node.js.

If you cannot obtain the official PDF, replicate its curriculum using free online resources:

The PDF covers: Using Redis with Redlock (though warning of its flaws) and CRDTs.

HTTP/2 allows sending multiple requests and responses concurrently over a single TCP connection.

1. Introduction

Monitored via libraries like brakes or opossum . If a downstream service fails repeatedly, the circuit opens, immediately failing fast or returning fallback data to protect system resources.

const server = http.createServer((req, res) => const worker = workers[current]; current = (current + 1) % workers.length;

Building Scalable Architecture: A Guide to Distributed Systems with Node.js

Node.js delegates I/O operations to the operating system kernel whenever possible. Because modern OS kernels are multi-threaded, they can handle multiple execution processes in the background. This allows a single Node.js thread to manage thousands of concurrent network connections without thread-context switching overhead.