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

Y
Y Combinator Blog
The GitHub Blog
The GitHub Blog
云风的 BLOG
云风的 BLOG
Engineering at Meta
Engineering at Meta
Google DeepMind News
Google DeepMind News
aimingoo的专栏
aimingoo的专栏
Recent Announcements
Recent Announcements
A
About on SuperTechFans
U
Unit 42
MyScale Blog
MyScale Blog
J
Java Code Geeks
博客园_首页
Blog — PlanetScale
Blog — PlanetScale
D
Docker
Microsoft Azure Blog
Microsoft Azure Blog
博客园 - 司徒正美
量子位
月光博客
月光博客
G
Google Developers Blog
V
V2EX
博客园 - 聂微东
宝玉的分享
宝玉的分享
IT之家
IT之家
Vercel News
Vercel News

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
We Built a POS System That Had to Work Without Internet —...
Keyar Sriniv · 2026-04-28 · via DEV Community

When we started building a Point of Sale (POS) system for restaurants, we assumed one thing:

Internet will always be available.

That assumption didn’t last long.

⚠️ The Reality We Faced

Once deployed in real environments:

Internet dropped during peak hours
Orders had to continue without interruption
Multiple devices needed to stay in sync
Kitchen printers couldn’t wait for network recovery

This forced us to rethink everything.

🔄 The Shift: Offline-First Thinking

Instead of treating offline mode as a fallback, we made it the default behavior.

That meant:

Every device could operate independently
Data would sync when connectivity returned
No order would ever be lost
🧠 Key Design Decisions

  1. Local Data Storage

Each device maintained its own database.

👉 Result: No dependency on central server during operations.

  1. Sync Engine with Conflict Resolution

We built a sync mechanism that handled:

Duplicate entries
Timing conflicts
Partial updates

👉 Result: Data consistency without manual intervention.

  1. Event-Based Architecture

Instead of direct updates, we used events.

👉 Result: Better tracking, easier recovery, and scalability.

🔥 What Almost Broke the System

The toughest challenge wasn’t offline mode.

It was:

Handling edge cases during reconnection

Examples:

Same order updated on two devices
Printer executed duplicate commands
Delayed sync causing wrong reports

Solving this required deep testing in real environments—not just simulations.

✅ What Worked in the End
Offline-first architecture
Smart sync handling
Real-world testing over theoretical design

The system eventually scaled across multiple restaurants and handled peak-hour loads reliably.

💡 Key Takeaway

If your application depends on real-time operations:

Don’t design for ideal conditions.
Design for failure scenarios.

👨‍💻 Final Thoughts

Building software is not just about writing code.

It’s about understanding:

How people use the system
What happens when things go wrong
How to keep everything running under pressure
🔗 About Us

We work on building scalable mobile and web applications focused on real-world performance—especially in areas like POS systems, Flutter apps, and RFID-based solutions.

If you're interested in how we approach system design and scalability, you can explore more here:
👉 https://www.oclocksoftware.com/