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At some point in backend development, you start to have these concerns.
It's that moment when services expand and traffic increases, and you begin to feel the limitations of simple REST communication and CRUD structures. I experienced these same issues in the field and went through much trial and error balancing performance and structural complexity.

The solution I chose during that process was NATS. Its simple configuration based on a single binary, ultra-low latency performance in microseconds, and the fact that it provides essential features—from Pub/Sub to Queue Groups and JetStream—without being overkill made it a very practical choice for real-world service environments.

This course is not just a list of NATS features. Based on the problems I faced in practice, I explain through code and workflows why I chose NATS in certain situations and how I designed the architecture. This course is designed to help everyone—from those new to messaging systems to backend developers preparing for employment and senior developers considering better architectures—understand distributed systems and grow to the next level.

jhong

NATS, the Ultra-Low Latency and Messaging Distributed System Used by Naver Interviewers

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실습 중심

자격증

시험

backend basics

백엔드이해하기

toy to portfolio

토이프로젝트

Hong

입문

초급

중급이상

자바스크립트

JavaScript

노드js

Node.js

자바

Java

도커

Docker

타입스크립트

TypeScript

Course Introduction

Why You Should Learn High-Performance Messaging with NATS and Introduction

How to Use NATs at the Application Level

JetStream for Data Persistence in NATS

Practical Guide to Using NATS JetStream

Advanced Topics in NATS Object Storage | KV-Bucket and MSQ Comparison