Universal Message Bus (RabbitMQ, Kafka, Redis, and more) скачать в хорошем качестве

Universal Message Bus (RabbitMQ, Kafka, Redis, and more)

In this video, we build a Generic Node.js Message Bus designed to give developers a clean, unified way to work with RabbitMQ, Kafka, and Redis Streams using the same simple API. Whether you are building microservices, event-driven architectures, real-time systems, or distributed workers, this message bus acts as the glue layer that eliminates boilerplate, hides broker-specific complexity, and gives you a consistent interface for publishing and subscribing to events. This project is built for developers who want a plug-and-play message bus that feels as easy as calling .publish() and .subscribe(), while still supporting enterprise-grade capabilities like durable queues, consumer groups, persistent messages, high-throughput streams, and auto-scaling workers. The goal is simple: write your business logic once, run it anywhere. 🚀 What This Message Bus Does The message bus provides a generic abstraction layer over three of the most popular message brokers: 1. RabbitMQ (AMQP-based) Great for task queues, job workers, workflows, and RPC-style communication Supports durable queues, acknowledgements, routing keys, fanout, topic exchanges Perfect for microservices that need strong message delivery guarantees 2. Apache Kafka Designed for event streaming, analytics pipelines, log aggregation, and high-throughput systems Supports consumer groups, partitions, offsets, message replay, and real-time event feeds Ideal for large-scale distributed systems where millions of events flow per second 3. Redis Streams Fast, in-memory stream processing Supports multiple consumers, message IDs, persistence, and auto-claiming Ideal for lightweight real-time systems or event-driven Node.js services With this abstraction, your application can switch from RabbitMQ to Kafka or Redis without rewriting your handlers. You simply choose a provider in your config: { "provider": "KafkaBus" } or: { "provider": "RabbitMqBus" } Your code stays the same. Your handler signatures stay the same. The entire system becomes flexible, portable, and future-proof. 🏗️ How It Works Behind the Scenes The architecture follows a clean, modular pattern: ProviderMapping Maps the provider name (Kafka, RabbitMQ, Redis) to the appropriate transport implementation. This makes the system extensible: you can add AWS SQS, Google Pub/Sub, Azure Service Bus, or NATS in the future with zero breaking changes. EventSubscriptionMapping Responsible for mapping event names to handler functions. Your code stays clean: each handler is a simple module that receives the event payload and executes business logic. Unified API Regardless of the provider, your usage looks like this: await bus.subscribe("OrderCreated", OrderHandler); await bus.publish("OrderCreated", { id: 123, status: "NEW" }); This eliminates the steep learning curve of each broker and gives developers a single, intuitive interface. Worker Model The bus includes worker-ready patterns: long-running processes automatic reconnection exponential backoff event batching options graceful shutdown hooks These features make it easy to integrate with Docker, Kubernetes, ECS Fargate, or serverless environments. 🔥 Why This Is Useful Microservices-ready: Perfect foundation for enterprise event-driven systems Scalable: Easily add more workers for parallel processing Replaceable backends: Swap your broker without rewriting your code Lightweight: The API is small, understandable, and easy to extend Flexible: Works for job queues, pub/sub, event sourcing, analytics pipelines, or background workers Developer-friendly: Clean structure, simple handlers, clear logs, and predictable behavior If you are building Node.js apps that need messaging, this bus lets you keep your code clean and your architecture flexible. 🧩 Real Use Cases Demonstrated in This Video ✔️ Distributed workers consuming multiple event types ✔️ Publishing thousands of events across queues for load testing ✔️ Writing handlers that work across RabbitMQ / Kafka / Redis without changes ✔️ Running the system inside Docker with RabbitMQ Management UI ✔️ Simulating real-world microservice patterns ✔️ Preparing the project to scale using Kubernetes, ECS, or serverless workers 📦 What You Can Build With This Background jobs & worker services Payment processing pipelines Webhook ingestion Analytics & logging pipelines Order/workflow systems Stock market or sensor data streaming Event sourcing systems AI agent coordination layers Real-time notification systems Microservices communication hub The possibilities are endless. 👍 If You Want More In future videos, we’ll cover: Adding AWS SQS, Azure Service Bus, Google Pub/Sub Implementing retry policies, DLQs, timeouts, and tracing Distributed scheduled jobs (CRON via events) Writing a high-performance Kafka producer/consumer Plugging this Message Bus into your microservices framework