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Microservice Patterns and Best Practices

Microservice Patterns and Best Practices

By : Vinicius Feitosa Pacheco
3.7 (19)
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Microservice Patterns and Best Practices

Microservice Patterns and Best Practices

3.7 (19)
By: Vinicius Feitosa Pacheco

Overview of this book

Microservices are a hot trend in the development world right now. Many enterprises have adopted this approach to achieve agility and the continuous delivery of applications to gain a competitive advantage. This book will take you through different design patterns at different stages of the microservice application development along with their best practices. Microservice Patterns and Best Practices starts with the learning of microservices key concepts and showing how to make the right choices while designing microservices. You will then move onto internal microservices application patterns, such as caching strategy, asynchronism, CQRS and event sourcing, circuit breaker, and bulkheads. As you progress, you'll learn the design patterns of microservices. The book will guide you on where to use the perfect design pattern at the application development stage and how to break monolithic application into microservices. You will also be taken through the best practices and patterns involved while testing, securing, and deploying your microservice application. At the end of the book, you will easily be able to create interoperable microservices, which are testable and prepared for optimum performance.
Table of Contents (15 chapters)
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Domain definition – RecommendationService


We already know that we will apply the asynchronous messaging design pattern in our application using the RecommendationService microservice as an example. This is a very simple service to create and is far from the complexity of microservices of recommendations in production in the real world. Therefore, RecommendationService is a microservice with a didactic purpose for practicing the use of the asynchronous messaging design pattern.

Having made this initial caveat, let's define the business and RecommendationService domain. The idea is very simple. Whenever a news portal user searches for any specific news, the labels in that news will be associated with the user ID. By relating the IDs on the labels, we can find out what the favorite subjects of a user are, and we can use it to recommend news and customize web pages.

The microservice will also have an endpoint where you can see the labels that a user has as favorites and another endpoint where...

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