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

Best practices


The chained design pattern is simple to implement, especially to deal with tools that we are already accustomed to, such as the HTTP protocol. However, it is very complex to maintain, since the indiscriminate use of direct communication between microservices can generate problems that are difficult to solve.

In patterns that use complex communication, as in the case of the chained design pattern, consistent logs are helpful for identifying anomalies. However, this can be difficult in distributed communication applications.

To help us identify possible errors within a communication flow between distinct microservices, we can make use of the correlation ID.

Correlation ID helps us get an overview of a task distributed across multiple microservices. A simple way to implement correlation ID using HTTP would be to send a UUID in the header of the requests and use this UUID as an identifier to write the logs.

From the patterns we have studied so far, this is the one that has the most...