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Building Microservices with Micronaut®

You're reading from   Building Microservices with Micronaut® A quick-start guide to building high-performance reactive microservices for Java developers

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781800564237
Length 362 pages
Edition 1st Edition
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Authors (2):
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Zack Dawood Zack Dawood
Author Profile Icon Zack Dawood
Zack Dawood
Nirmal Singh Nirmal Singh
Author Profile Icon Nirmal Singh
Nirmal Singh
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Core Concepts and Basics
2. Chapter 1: Getting Started with Microservices Using the Micronaut Framework FREE CHAPTER 3. Section 2: Microservices Development
4. Chapter 2: Working on Data Access 5. Chapter 3: Working on RESTful Web Services 6. Chapter 4: Securing the Microservices 7. Chapter 5: Integrating Microservices Using Event-Driven Architecture 8. Section 3: Microservices Testing
9. Chapter 6: Testing Microservices 10. Section 4: Microservices Deployment
11. Chapter 7: Handling Microservice Concerns 12. Chapter 8: Deploying Microservices 13. Section 5: Microservices Maintenance
14. Chapter 9: Distributed Logging, Tracing, and Monitoring 15. Section 6: IoT with Micronaut and Closure
16. Chapter 10: IoT with Micronaut 17. Chapter 11: Building Enterprise-Grade Microservices 18. Assessment 19. Other Books You May Enjoy

Event streaming with the Apache Kafka ecosystem

Apache Kafka is an industry-leading event streaming system. In the Apache Kafka ecosystem, the following are some of the key components:

  • Event topic: An event topic consists of a stream of immutable, ordered messages belonging to a particular category. Each event topic may have one or more partitions. A partition is indexed storage that supports multi-concurrency in Apache. Apache Kafka keeps at least one partition per topic and may add more partitions as specified (at the time of topic creation) or required. When a new message is published to the topic, Apache Kafka decides which topic partition will be used to append the message. Each topic appends the most recent message at the end. This is shown in the following diagram:

Figure 5.3 – Apache Kafka topic anatomy

As shown in the preceding diagram, when a new message is published to the steam, it is appended at the end. Event consumers can...

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