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Mastering Spring Cloud

You're reading from   Mastering Spring Cloud Build self-healing, microservices-based, distributed systems using Spring Cloud

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788475433
Length 432 pages
Edition 1st Edition
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Author (1):
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Piotr Mińkowski Piotr Mińkowski
Author Profile Icon Piotr Mińkowski
Piotr Mińkowski
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Toc

Table of Contents (17) Chapters Close

Preface 1. Introduction to Microservices 2. Spring for Microservices FREE CHAPTER 3. Spring Cloud Overview 4. Service Discovery 5. Distributed Configuration with Spring Cloud Config 6. Communication Between Microservices 7. Advanced Load Balancing and Circuit Breakers 8. Routing and Filtering with API Gateway 9. Distributed Logging and Tracing 10. Additional Configuration and Discovery Features 11. Message-Driven Microservices 12. Securing an API 13. Testing Java Microservices 14. Docker Support 15. Spring Microservices on Cloud Platforms 16. Other Books You May Enjoy

The advanced programming model


The basics around the Spring Cloud Stream programming model have been presented together with samples of point-to-point and publish/subscribe communication. Let's discuss some more advanced example features.

Producing messages

In all the samples presented in this chapter, we have sent orders through RESTful API for testing purposes. However, we may easily create some test data by defining the message source inside the application. Here's a bean that generates one message per second using @Poller and sends it to the output channel:

@Bean
@InboundChannelAdapter(value = Source.OUTPUT, poller = @Poller(fixedDelay = "1000", maxMessagesPerPoll = "1"))
public MessageSource<Order> ordersSource() {
    Random r = new Random();
    return () -> new GenericMessage<>(new Order(OrderStatus.NEW, (long) r.nextInt(5), Collections.singletonList((long) r.nextInt(10))));
}

Transformation

As you probably remember, account-service and product-service have been receiving...

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