Developer Articles | TechForDev

Latest AI / ML JavaScript Python React Next.js Web Dev DevOps Cloud

An Ash-Inspired DDD Framework for Python: Derive Everything from the Domain Model

Sahil Pohare5d ago • 10 min read

An Ash-Inspired DDD Framework for Python: Derive Everything from the Domain Model

I've been building PingerAgents — a multitenant AI agent orchestration platform. Along the way I...

#elixir#eventdriven#agents#python

1 0

Five quick wins for building serverless on AWS

Ollie Church4d ago • 5 min read

Five quick wins for building serverless on AWS

A few Lambdas hooked up to an EventBridge bus will get you a long way before they ask anything of...

#serverless#aws#eventdriven#architecture

0 0

Why Distributed Transactions Fail and How the Outbox Pattern Helps

Venkatesan Ramar1d ago • 8 min read

Why Distributed Transactions Fail and How the Outbox Pattern Helps

While covering the Outbox Pattern in my earlier article on CQRS, I realized there was much more...

#distributedsystems#architecture#eventdriven#microservices

0 0

CQRS: Where It Helps and Where It Hurts in Backend Systems

Venkatesan Ramar3d ago • 11 min read

CQRS: Where It Helps and Where It Hurts in Backend Systems

CQRS has been one of the most talked-about architectural patterns in modern backend systems. Over th...

#distributedsystems#architecture#systemdesign#eventdriven

1 0

Event-Driven Architecture: An Honest Assessment

Benard Otieno5d ago • 11 min read

Event-Driven Architecture: An Honest Assessment

Event-driven systems are elegant in talks and brutal in production. After building and operating...

#devops#tooling#architecture#eventdriven

0 0

Pravin Khandke4d ago • 10 min read

Messaging in the Age of AI

Messaging infrastructure has been boring for a decade. Queues, topics, exchanges — the primitives...

#ai#eventdriven#kafka#agents

2 1

RabbitMQ Explained: How It Works, How It Differs from Kafka, and Where It Fits in Real Systems

Saiyam Jain1d ago • 5 min read

RabbitMQ Explained: How It Works, How It Differs from Kafka, and Where It Fits in Real Systems

Modern applications are no longer simple monoliths. Today’s systems handle millions of requests,...

#rabbitmq#kafka#distributedsystems#eventdriven

1 0

Event-Driven Frontend: When You Need an Answer – Asynchronous Requests Through the Bus

Art Stesh4d ago • 8 min read

Event-Driven Frontend: When You Need an Answer – Asynchronous Requests Through the Bus

In the first two articles, we saw how an event bus can completely decouple components for one‑way...

#eventdriven#typescript#frontend#pubsub

0 0

Event-Driven Architecture Explained: When and How to Use It

Fu'ad Husnan6d ago • 6 min read

Event-Driven Architecture Explained: When and How to Use It

If you've been building software long enough, you've probably hit a wall with tightly coupled system...

#architecture#eventdriven#backend

0 0

Distributed Messaging Systems Explained Simply: How Kafka, RabbitMQ, and Modern Apps Really Work

Abdullah al Mubin2h ago • 3 min read

Distributed Messaging Systems Explained Simply: How Kafka, RabbitMQ, and Modern Apps Really Work

You click “Place Order” on Amazon. A second later: Payment is processed Inventory is updated Emai...

#distributedsystems#systemdesign#kafka#eventdriven

0 0

架构师小白19h ago • 1 min read

事件驱动架构完全指南：构建响应式系统的基础

事件驱动架构完全指南：构建响应式系统的基础什么是事件驱动架构？事件驱动架构（Event-Driven Architecture,...

#architecture#eventdriven#systems#programming

0 0

Building Galviq: AI Event Intelligence for B2B Teams

Galviq2d ago • 1 min read

Building Galviq: AI Event Intelligence for B2B Teams

I am building Galviq. A platform that helps B2B teams discover relevant events based on...

#ai#eventsinyourcity#eventdriven#saas

2 0

Saga Compensation When Undo Is Impossible: 3 Patterns and the Audit Trail

Gabriel Anhaia5d ago • 9 min read

Saga Compensation When Undo Is Impossible: 3 Patterns and the Audit Trail

Every saga tutorial says compensate. Real systems can't always. Three patterns for irreversible side...

#architecture#eventdriven#saga#backend

0 0

Idempotent Consumers: Dedup Key, Dedup Window, or Idempotency by Design. Pick One

Gabriel Anhaia6d ago • 10 min read

Idempotent Consumers: Dedup Key, Dedup Window, or Idempotency by Design. Pick One

Three placements for consumer idempotency, three failure modes. The decision tree that stops you cha...

#kafka#architecture#eventdriven#backend

0 0

Event Replay Will Take Down Production. Here's How to Tag Replay-Safe vs Replay-Toxic Events at the Schema Level.

Gabriel Anhaia6d ago • 9 min read

Event Replay Will Take Down Production. Here's How to Tag Replay-Safe vs Replay-Toxic Events at the Schema Level.

Replay isn't a free property of event-sourced systems. Tag events at the schema. Three categories, a...

#architecture#eventdriven#eventsourcing#backend

0 0

Dead Letter Queue Triage: The 5 Categories That Cover 95% of Failures

Gabriel Anhaia5d ago • 8 min read

Dead Letter Queue Triage: The 5 Categories That Cover 95% of Failures

Your DLQ has 2,400 messages and no plan. A 5-category taxonomy plus auto-classifier turns the queue ...

#architecture#eventdriven#devops#reliability

0 0

Outbox Pattern: When CDC Beats Polling, When Polling Beats CDC

Gabriel Anhaia5d ago • 8 min read

Outbox Pattern: When CDC Beats Polling, When Polling Beats CDC

Debezium vs a polling worker for the outbox pattern. Five cases each one wins, the schema-evolution ...

#architecture#eventdriven#kafka#backend

0 0

Event Schema Evolution: 4 Versioning Strategies, 1 That Quietly Breaks Consumers

Gabriel Anhaia6d ago • 10 min read

Event Schema Evolution: 4 Versioning Strategies, 1 That Quietly Breaks Consumers

Additive, versioned topics, expand-contract, upcasters. Year-by-year forecast of which one survives ...