Event-Driven Architecture

Design event-driven architectures with message queues and publish-subscribe systems.

Updated Feb 18, 2026
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npx skills add https://github.com/SamuelSaha/Reqflow --skill event-driven-architecture-samuelsaha
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Skill: Event-Driven Architecture
Source: https://github.com/SamuelSaha/Reqflow/tree/main/SWARM/skills/architecture/event-driven-architecture
Command: npx skills add https://github.com/SamuelSaha/Reqflow --skill event-driven-architecture-samuelsaha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenges of tight coupling and synchronous bottlenecks in software development by enabling the creation of robust, scalable, and resilient event-driven systems.

Core Features & Use Cases

  • Asynchronous Communication: Facilitates loose coupling between services using message queues and event buses.
  • Pattern Implementation: Demonstrates Point-to-Point (Queues) and Publish-Subscribe (Topics) patterns.
  • Reliable Processing: Implements at-least-once delivery with idempotency and dead-letter queues for error handling.
  • Technology Guidance: Provides a comparison of popular message queue technologies like Redis, RabbitMQ, Kafka, SQS, and Pub/Sub.
  • Use Case: A microservices architecture where a new user signup event triggers multiple independent actions like sending a welcome email, adding to a CRM, and initiating analytics tracking, all without direct service-to-service calls.

Quick Start

Use the Event-Driven Architecture skill to implement a publish-subscribe pattern for user signup events.

Frequently Asked Questions about Event-Driven Architecture

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design an event-driven architecture for asynchronous microservices?

An event-driven architecture decouples microservices asynchronously using message queues and publish-subscribe patterns. Services emit events to an event bus instead of calling each other directly, enabling independent actions like sending emails or updating analytics without synchronous bottlenecks.

What is the difference between Point-to-Point queues and Publish-Subscribe topics?

Point-to-Point queues deliver a message to exactly one consumer, while Publish-Subscribe topics broadcast events to multiple independent subscribers. Event-driven systems use queues for task distribution and topics to trigger multiple actions simultaneously from a single event.

How do I ensure reliable processing with idempotency and dead-letter queues?

Reliable event processing uses at-least-once delivery combined with idempotency to prevent duplicate side effects. Dead-letter queues capture messages that fail consumption, ensuring errors are isolated and can be analyzed without blocking the main message queue.

How do Kafka, RabbitMQ, and SQS compare for building message queues?

Kafka, RabbitMQ, and SQS are popular message queue technologies with distinct trade-offs. Kafka excels at high-throughput event streaming, RabbitMQ offers complex routing, and SQS provides managed cloud scaling, allowing you to choose based on your infrastructure needs.

When should I use event-driven architecture instead of synchronous service calls?

Use event-driven architecture to solve tight coupling and synchronous bottlenecks. It is ideal when a single action, like a user signup, must trigger multiple independent processes such as CRM updates and analytics tracking without forcing the user to wait.