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

Introduction to Kubernetes


One of the most prominent container orchestrators is Kubernetes (which is Greek for helmsman). Kubernetes is an open source product originally developed by Google and now owned by the Cloud Native Computing Foundation.

The following diagram shows the basic architecture of a Kubernetes cluster:

The central component of each Kubernetes cluster is the master server (which, of course, does not have to be an actual single server. In production setups, you will often have multiple master servers that are configured for high availability). The master server stores the entire cluster state in an end data store. The API Server is the component that offers a REST API that can be used by both internal components (such as the scheduler, controllers, or Kubelets) and external users (you!). The scheduler tracks available resources on the individual nodes (such as memory and CPU usage) and decides on which node in the cluster new containers should be scheduled. Controllers are...