Tagged articles

Quorum Queue

3 articles · Page 1 of 1
Cloud Architecture
Cloud Architecture
Jun 14, 2026 · Backend Development

RabbitMQ Exchanges Mastery: Routing Basics to Scalable High‑Concurrency Design

This guide explains why the Exchange is the routing core of RabbitMQ, details its five-layer capabilities, shows how to design reliable, scalable topologies with direct, topic, fanout and headers exchanges, and provides Spring Boot code examples for production‑grade routing, retries, dead‑letter handling and monitoring.

ExchangeQuorum QueueRouting
0 likes · 46 min read
RabbitMQ Exchanges Mastery: Routing Basics to Scalable High‑Concurrency Design
Java Architect Handbook
Java Architect Handbook
May 22, 2026 · Backend Development

How Does RabbitMQ Ensure No Message Loss? Producer Confirms, Persistence, and Manual ACK Explained

The article breaks down RabbitMQ's three‑stage message flow—producer to broker, broker persistence, and broker to consumer—detailing how Publisher Confirm, durable exchanges/queues/messages, and manual consumer acknowledgments together guarantee reliability while discussing performance trade‑offs, high‑availability clustering, and common interview follow‑up questions.

Dead Letter QueueMessage reliabilityQuorum Queue
0 likes · 14 min read
How Does RabbitMQ Ensure No Message Loss? Producer Confirms, Persistence, and Manual ACK Explained
Cloud Architecture
Cloud Architecture
May 19, 2026 · Operations

RabbitMQ High‑Availability Cluster: Theory, Architecture, and Production Troubleshooting

This article explains why RabbitMQ failures can cascade through a micro‑service system, details the underlying HA mechanisms such as quorum queues, presents a layered production architecture with concrete Spring Boot code, outlines a step‑by‑step troubleshooting workflow, and shares best‑practice checklists for scaling, Kubernetes deployment, and migration from classic mirrored queues.

High AvailabilityKubernetesProduction
0 likes · 52 min read
RabbitMQ High‑Availability Cluster: Theory, Architecture, and Production Troubleshooting