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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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Best practices


In this chapter, we have tried to apply the following best practices of microservices, but it's always good to enumerate what we did:

  • Segregated database: This allows us to better scale our application, especially in the data storage layer.
  • Microservice encapsulation: This divides the microservices into two layers—Public Facing Services and Internal Services. Such a division allows for greater flexibility with respect to the signature microservices, as Internal Services can be modified more easily.
  • Applied CQRS: With CQRS, unnecessary stress points on the application were removed.
  • Applied event sourcing: With event sourcing, we are conducting a stream of information from a news article. This gives us a real vision of the history of each news article.
  • Applied pattern very scalable: With a strong pattern and understanding of how to scale the aggregator pattern, we have a clear vision of how to avoid anti-patterns.

The best practices cited earlier form just a basic set of improvements...

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