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

B
Blog RSS Feed
量子位
Recent Announcements
Recent Announcements
T
The Blog of Author Tim Ferriss
美团技术团队
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Blog — PlanetScale
Blog — PlanetScale
H
Help Net Security
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
博客园 - Franky
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
宝玉的分享
宝玉的分享
大猫的无限游戏
大猫的无限游戏
V
Visual Studio Blog
博客园 - 聂微东
aimingoo的专栏
aimingoo的专栏
Microsoft Security Blog
Microsoft Security Blog
U
Unit 42
J
Java Code Geeks
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
IT之家
IT之家
Hugging Face - Blog
Hugging Face - Blog
腾讯CDC
L
LangChain Blog

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
Universal Message Manager
Philip Braham · 2026-06-19 · via DEV Community

Philip Braham

Back in the early '90s we were working on automating an aluminium smelter in Australia. We developed a system called Message Director: a publish and subscribe system that allowed applications to communicate on bus where messages were published, and subscriptions made to, a director application. All messages were logged and applications could be changed or added to without effecting other applications. It was incredibly successful. We finished the automation with a team of 3 people within time and under budget.

In a publish and subscribe system, senders and receivers of messages are ideally not associated. However, the problem with the original system was that because data was binary data a receiver of a message had to know the format of the messages it was receiving.

Subsequently I went on the develop the concept into a more universal system called Universal Message Manager (UMM). In UMM all messages are self-describing. Small apps (called agents) can be written that have a simple task: receive these messages, do a task and send those messages. In one example that comes with the project. we have a tank monitoring system. A tank monitoring agent sends messages on the tank level, a pump agent receives messages when the tank level is below 10% and above 90%, switches on and off accordingly, and sends out confirmations messages. These messages can be seen on the screen, logged and a database application logs them the a database.

UMM is ideal for teaching as the agents are self-contained but can be used together to form a complex system. Another example on our website is a parcel sorting machine. The agents in the project are written in Python with a C option available. Agents can be written in any language.

The UMM project and documentation can be downloaded from https://umm.braham.net. It is free for non-commercial use.

We're particularly interested in people who want to use UMM for teaching.