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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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Caching tools

For microservices and modern web applications, the cache is not the only tool that exempts the database. It is a matter of strategy. Something that can be widely used to make the application much more performative than it would be without caches. But choosing well and setting the cache layer are crucial to success.

There are cache strategies consisting of using the cache as a loading point for the database. Observe the following diagram:

In the preceding diagram, we see that the requests arrive for our API, but are not directly processed and sent to the database. All valid requests are cached and simultaneously put in a row.

Consumers read the queue and process the information. Only after processing the information is the data stored in the database. Eventually, it is rewritten in the cache for data updates that are being consolidated in the database. With...

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