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

Design for failure


Anything that can go wrong will go wrong.

When we are building microservices, we should always be prepared for failure. There are many reasons for this, but the main one is that cloud computing networks can be flakey and you lose the ability to tune switching and routing, which would have given you an optimized system if you were running them in your data center. In addition to this, we tend to build microservice architectures to scale automatically, and this scaling causes services to start and stop in unpredictable ways.

What this means for our software is that we need to think about this failure up front while discussing upcoming features. We then need to design this into the software from the beginning, and as engineers, we need to understand these problems.

In his book Designing Data-Intensive Applications, Martin Kleppman makes the following comment:

The bigger a system gets, the more likely it is that one of its components is broken. Over time, broken things get fixed...