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Hands-On Microservices with JavaScript

You're reading from   Hands-On Microservices with JavaScript Build scalable web applications with JavaScript, Node.js, and Docker

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Product type Paperback
Published in Dec 2024
Publisher Packt
ISBN-13 9781788625401
Length
Edition 1st Edition
Languages
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Author (1):
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Tural Suleymani Tural Suleymani
Author Profile Icon Tural Suleymani
Tural Suleymani
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Table of Contents (19) Chapters Close

Preface 1. Part 1:Fundamentals of Microservices Architecture
2. Chapter 1: Introduction to Microservices FREE CHAPTER 3. Chapter 2: Diving into Microservices Internals 4. Chapter 3: What Do You Need Before Getting Started? 5. Chapter 4: Stack Development Technologies 6. Part 2:Building and Managing Microservices
7. Chapter 5: Basic CRUD Microservices 8. Chapter 6: Synchronous Microservices 9. Chapter 7: Asynchronous Microservices 10. Chapter 8: Real-Time Data Streaming Using Microservices 11. Part 3:Securing, Testing, and Deploying Microservices
12. Chapter 9: Securing Microservices 13. Chapter 10: Monitoring Microservices 14. Chapter 11: Microservices Architecture 15. Chapter 12: Testing Microservices 16. Chapter 13: A CI/CD Pipeline for Your Microservices 17. Index 18. Other Books You May Enjoy

Exploring asynchronous communication

You can implement asynchronous communication between microservices using various patterns and technologies, each suitable for different use cases and requirements. Here are some of the common ones:

  • Message brokers: Message brokers facilitate asynchronous communication by allowing microservices to publish and subscribe to messages. Popular message brokers include RabbitMQ, which supports multiple messaging protocols and patterns such as pub/sub and routing, and Apache Kafka, designed for high-throughput and fault-tolerant event streaming – one of the best choices for real-time data processing. An example of a message broker would be a producer service sending a message to a queue or topic and the consumer service subscribing to the queue or topic and processing messages.
  • Event streaming platforms: Event streaming platforms capture and process streams of events. These platforms are particularly useful for real-time analytics and...
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