Book Image

Microservice Patterns and Best Practices

By : Vinicius Feitosa Pacheco
Book Image

Microservice Patterns and Best Practices

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 (20 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Pros and cons of the shared data pattern


The shared data pattern is liked by many as an anti-pattern, but seen by others as an old concept that should no longer be applied. However, there is considerable distance between the ideal world and the real world.

In the ideal world, all projects are greenfields and nobody needs to work on legacy code or change the architecture of a monolithic application. However, the reality is not that. Legacy projects are now serving users. These applications are online stores, financial applications, social networks, and a myriad of businesses that require upgrading to achieve automation, scalability, and resilience.

The shared data pattern search just speeds up the process of change for these legacy applications. It has the positive benefit of giving the development team time to segregate the information from the database and evaluate the consistency of the data.

Definitely, the shared data pattern helps many companies to reset architecture projects.

A negative...