Book Image

Building Microservices with Go

By : Nic Jackson
Book Image

Building Microservices with Go

By: Nic Jackson

Overview of this book

Microservice architecture is sweeping the world as the de facto pattern to build web-based applications. Golang is a language particularly well suited to building them. Its strong community, encouragement of idiomatic style, and statically-linked binary artifacts make integrating it with other technologies and managing microservices at scale consistent and intuitive. This book will teach you the common patterns and practices, showing you how to apply these using the Go programming language. It will teach you the fundamental concepts of architectural design and RESTful communication, and show you patterns that provide manageable code that is supportable in development and at scale in production. We will provide you with examples on how to put these concepts and patterns into practice with Go. Whether you are planning a new application or working in an existing monolith, this book will explain and illustrate with practical examples how teams of all sizes can start solving problems with microservices. It will help you understand Docker and Docker-Compose and how it can be used to isolate microservice dependencies and build environments. We finish off by showing you various techniques to monitor, test, and secure your microservices. By the end, you will know the benefits of system resilience of a microservice and the advantages of Go stack.
Table of Contents (18 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Differences between synchronous and asynchronous processing


If there is a choice between processing a message synchronously or asynchronously, then I would always choose synchronously because it always makes the application simpler with fewer components parts, the code is easier to understand, tests are easier to write, and the system is easier to debug.

Asynchronous processing should be a design decision that is driven by need, be that the requirement for decoupling, scale, batch processing, or time-based processing. Event-driven systems give an ability to scale at much higher levels than monolithic systems, and the reason for that is that because of the loose coupling, the code scales horizontally with both greater granularity and greater effectiveness.

Another problem with asynchronous processing is the additional burden it adds to your operations. We need to create infrastructure for message queuing and message delivery, and this infrastructure needs to be monitored and managed, even if...