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Glossary

📄️ Background Queue

As a software engineer, you’ve likely encountered situations where certain tasks in your application are slow or computationally expensive—such as sending emails, processing images, or generating reports. Running these tasks during a user’s interaction with your system can lead to poor performance and degraded user experience. Enter background queues, a mechanism for offloading tasks to run asynchronously in the background, enabling your application to stay responsive while handling heavy lifting behind the scenes.

📄️ Distributed Message Broker

As a software engineer, you often encounter the challenge of designing systems that can reliably handle large-scale message processing across distributed environments. Distributed message brokers play a pivotal role in enabling decoupled communication, scalability, and fault tolerance in such architectures. Whether you’re building a real-time streaming platform, event-driven microservices, or IoT applications, distributed message brokers form the backbone of modern distributed systems.

📄️ Quorum Queue

As a software engineer, you’re always striving to design systems that are both reliable and robust, especially when it comes to message delivery. Ensuring messages aren’t lost due to node failures, network interruptions, or unexpected disruptions is critical. This is where quorum queues come into play. They offer a durable and fault-tolerant solution for message storage and delivery in distributed messaging systems. In this guide, we’ll explore quorum queues, their use cases, and how to implement them effectively using RabbitMQ.