<aside> 📚 📁 Category: Backend

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Overview

Message queues enable asynchronous communication between services, improving scalability and resilience. They decouple producers from consumers and provide reliable message delivery.

<aside> ℹ️ Why It Matters: Understanding Message Queues is essential for building robust, scalable, and secure modern applications.

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Key Concepts

• [x] Message Brokers - RabbitMQ, Apache Kafka, Azure Service Bus
• [x] Pub/Sub Pattern - Publish/Subscribe messaging
• [x] Point-to-Point - Direct message delivery
• [x] Message Acknowledgment - Confirm message processing
• [x] Dead Letter Queues (DLQ) - Handle failed messages
• [x] Message Ordering - FIFO guarantees
• [x] At-Least-Once vs Exactly-Once delivery
• [x] Message TTL - Message expiration

Common Use Cases

<aside> 💡 Where to Apply Message Queues

                        Background job processing
                        Email and notification systems
                        Event-driven architectures
                        Microservices communication
                        Log aggregation
                        Real-time data streaming
                        Order processing systems

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Best Practices

• [x] Design idempotent message handlers
• [x] Implement retry logic with exponential backoff
• [x] Monitor queue depth and processing rates
• [x] Use dead letter queues for failed messages