Book Image

Cloud Native programming with Golang

By : Mina Andrawos, Martin Helmich
Book Image

Cloud Native programming with Golang

By: Mina Andrawos, Martin Helmich

Overview of this book

Awarded as one of the best books of all time by BookAuthority, Cloud Native Programming with Golang will take you on a journey into the world of microservices and cloud computing with the help of Go. Cloud computing and microservices are two very important concepts in modern software architecture. They represent key skills that ambitious software engineers need to acquire in order to design and build software applications capable of performing and scaling. Go is a modern cross-platform programming language that is very powerful yet simple; it is an excellent choice for microservices and cloud applications. Go is gaining more and more popularity, and becoming a very attractive skill. This book starts by covering the software architectural patterns of cloud applications, as well as practical concepts regarding how to scale, distribute, and deploy those applications. You will also learn how to build a JavaScript-based front-end for your application, using TypeScript and React. From there, we dive into commercial cloud offerings by covering AWS. Finally, we conclude our book by providing some overviews of other concepts and technologies that you can explore, to move from where the book leaves off.
Table of Contents (19 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
7
AWS I – Fundamentals, AWS SDK for Go, and EC2

Working with volumes


An individual Docker container is often very short-lived. Deploying a new version of your application may result in a number of containers being deleted and new ones being spawned. If your application is running in a cloud environment (we will have a look at cloud-based container environments later in this chapter), your container may suffer from a node failure and will be re-scheduled on another cloud instance. This is completely tolerable for stateless applications (in our example, the event service and booking service).

However, this gets difficult for stateful containers (in our example, this would be both the message broker and database containers). After all, if you delete a MongoDB container and create a new one with a similar configuration, the actual data managed by the database will be gone. This is where volumes come into play.

Volumes are Docker's way to make data persist beyond the lifecycle of an individual container. They contain files and exist independently...