惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

The GitHub Blog
The GitHub Blog
A
About on SuperTechFans
The Cloudflare Blog
G
Google Developers Blog
博客园_首页
Martin Fowler
Martin Fowler
Apple Machine Learning Research
Apple Machine Learning Research
L
LangChain Blog
D
Docker
C
Check Point Blog
T
Tailwind CSS Blog
博客园 - 司徒正美
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Hugging Face - Blog
Hugging Face - Blog
Microsoft Security Blog
Microsoft Security Blog
V
V2EX
博客园 - 叶小钗
T
The Blog of Author Tim Ferriss
酷 壳 – CoolShell
酷 壳 – CoolShell
IT之家
IT之家
M
MIT News - Artificial intelligence
Microsoft Azure Blog
Microsoft Azure Blog
博客园 - 【当耐特】
GbyAI
GbyAI

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Understanding Server Sent Events
Rishini Dharan T · 2026-06-22 · via DEV Community

Rishini Dharan T

Hello reader! Today I have learnt about server-side events and going to discuss it here.

Introduction

  • Assume you are using ChatGPT and sent a query to the LLM and it's makes you to wait for 5 seconds before printing the entire answer in a one-shot action like loading a webpage instead of the current sequential character printing pattern using streaming responses, will it be surprising, frustrating or at least make you feel like waiting?

  • So, to prevent the user from feeling the pain of waiting most LLMs uses the sequential printing method.

Working

  1. These are called Time Taking Processes (TTP), and this working is achieved by the server-sent events.

  2. SSE is the standard for streaming data from the server to the client using HTTP.

  3. Each event is a small text block with "fields" like data, event, id, and retry, separated by blank lines.

  4. It looks like this:

data: {"name": "Portal Gun", "price": 999.99}
data: {"name": "Plumbus", "price": 32.99}

SSE is commonly used for AI chat streaming, live notifications, logs and observability, and other cases where the server pushes updates to the client.

Before technologies like SSE became popular, applications often relied on short polling or long polling to receive updates from the server:

1. Short polling:
The client-initiates the request to the server and if the response is incomplete and will takes time to complete then the server will response with an immediate wait message and then the user will wait for some time(defined) before initiating the request again, continuing this process until the process's completed.

2. Long polling:
The client-initiated request is once processed and if not completed then the server will hold on to that request and check the same after a defined time when it also not completed during the second investigation then the server responses to the client as incomplete. The user will immediately reinitiate the same request as soon as they receive it and the same repeat until the process is completed or any termination event has been happened.

EVENT STREAM:
Processes that are continuous and ordered sequence of events that can be simple from creating pdf file to a much complex process like transactions between two banks. These are undertaken by establishing a communication channel between the server and the clients and maintaining the channel until the completion of the process.

Here's a fun-fact for you if you have read until here: HTTP requests are
stateless.

Bye guys let's all have a great day of learning!