Message Queues and Event-Driven Architecture
February 25, 2026•Trịnh Minh Nhật
Learn how message queues enable asynchronous communication and decoupling in distributed systems using Kafka and RabbitMQ.
System Design Fundamentals
Part 6 / 6- ↑ 1 more above
- 2Microservices Architecture: A Comprehensive Guide
- 3Database Design Patterns for Scalable Systems
- 4Caching Strategies for High-Performance Systems
- 5Load Balancing: Distributing Traffic at Scale
- 6Message Queues and Event-Driven Architecture
Why Message Queues?
Message queues enable asynchronous communication between services, improving resilience and decoupling producers from consumers.
Popular Solutions
Apache Kafka
Distributed streaming platform built for high throughput. Uses a log-based approach where messages are retained even after consumption.
RabbitMQ
Traditional message broker implementing AMQP. Supports various exchange types: direct, topic, fanout, and headers.
Key Concepts
- Producer: Sends messages to the queue
- Consumer: Reads and processes messages
- Topic/Queue: Named channel for messages
- Dead Letter Queue (DLQ): Holds messages that couldn't be processed