Differences between RabbitMQ and Kafka in use cases, performance, delivery guarantees, and scaling.

Introduction to enterprise-grade messaging systems for asynchronous communication and event-driven architecture.

Understanding at-most-once, at-least-once, and exactly-once delivery semantics in messaging systems.

Routing patterns including fan-out, topic-based, direct, delayed, and dead-letter queues for robust design.

How to use DLQs to isolate and monitor failed messages, retry logic, and remediation strategies.

A lightweight, widely-used message broker that supports AMQP, routing, and plugins for flexible messaging.

A Java-based message broker supporting JMS and a variety of protocols for high-availability messaging.

A high-performance cloud-native messaging system ideal for microservices, IoT, and event streaming.

Using Redis for pub-sub and stream-based messaging with high-speed data ingestion and consumer groups.

Overview of managed messaging services like Amazon SQS, Azure Service Bus, and Google Pub/Sub.

Swift Lessons: Enterprise Messaging Systems

Design Patterns