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Manual service-to-service communication using direct APIs can lead to failures, message loss, and poor scalability. Message queues solve that. In this session, we demonstrate message queues using RabbitMQ through a real-world crash-and-recovery demo. RabbitMQ provides a reliable way for services to communicate asynchronously, ensuring messages are not lost even when workers or the queue itself crashes. Instead of tightly coupled API calls, message queues enable fault-tolerant, scalable, and reliable backend systems, making them a core building block in modern microservices architectures. 🔹 What this video covers: • What Message Queues are • Monolithic vs Microservices architecture • Why direct API calls fail in distributed systems • Why RabbitMQ is widely used in production • Real-world RabbitMQ crash and recovery demo • How message acknowledgements work • Worker crashes, retries, and unacknowledged messages • How message queues ensure no data loss and scalability This session helps developers understand why message queues are critical in real systems, showing how RabbitMQ improves reliability, fault tolerance, and scalability in backend and microservices-based applications. 🎯 Who should watch: • Backend Developers • Software Engineers • Full-Stack Developers • Microservices Engineers • System Design learners • Teams building scalable backend systems 📌 Build reliable backend systems. Scale with confidence using message queues. #RabbitMQ #MessageQueues #Microservices #BackendEngineering #SystemDesign #DistributedSystems #ProductDemo