Chapter 11 Deploy Applications with Kubernetes to the Cloud

Distributed Services with Go — by Travis Jeffery (79 / 84)

👈 What You Learned | TOC | Create a Google Kubernetes Engine Cluster 👉

In the previous chapter, we put the work into making our service deployable, but we only deployed it locally. In this chapter, we’ll deploy our service to the cloud and put it on the Internet. Kubernetes abstracts the resources needed for your applications — containers, networking, volumes, and so on — similar to how Go abstracts the operating system and processor architecture so you can run the same program on each. As such, the changes you need to make to take your local Kubernetes cluster to the cloud can be little to nothing.

Three major cloud platforms dominate the landscape: Google Cloud Platform (GCP),[63] Amazon Web Services (AWS),[64] and Microsoft Azure.[65] All three platforms provide similar feature sets and their own Kubernetes services. With Kubernetes making up the differences between the platforms, we can deploy to any one, easily move between providers (and bargain with the providers for better prices), or run across them all at the same time. In this chapter, we’ll deploy our service to the Google Cloud Platform.

GCP provides a free tier of products, with limitations, along with $300 credit to spend during your twelve-month free trial. What matters to us for purposes of our work in this book is that the free tier includes one Kubernetes cluster and…