You're reading from DevOps with Kubernetes. - Second Edition

Product typeBook

Published inJan 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789533996

Edition2nd Edition

Languages

Tools

Kubernetes

Concepts

DevOps

Authors (3):

Hideto Saito

Hui-Chuan Chloe Lee

Cheng-Yang Wu

View More author details

Kubernetes on GCP

Google Cloud Platform (GCP) is becoming popular in the public cloud industry that's provided by Google. GCP has concepts that are similar to those provided by AWS, such as VPC, Compute Engine, Persistent Disk, Load Balancing, and several managed services. In this chapter, you'll learn about GCP and how to set up Kubernetes on GCP through the following topics:

Understanding GCP
Using and understanding GCP components
Using Google Kubernetes Engine (GKE), the hosted Kubernetes service

Introduction to GCP

GCP was officially launched in 2011. Unlike AWS, GCP initially provided PaaS (Platform as a Service). Consequently, you can deploy your application directly instead of launching a VM. After that, GCP added some services and functionalities.

The most important service for Kubernetes users is GKE, which is a hosted Kubernetes service. So, you can get some relief from Kubernetes installation, upgrades, and management. This has a pay–as–you–go style approach to using the Kubernetes cluster. GKE is also a very active service that keeps providing new versions of Kubernetes in a timely manner and keeps coming up with new features and management tools for Kubernetes as well.

Let's take a look at what kind of foundation and services GCP provides and then we'll explore GKE.

...

Google Kubernetes Engine (GKE)

Overall, some GCP have introduced in previous sections. Now you can start to set up Kubernetes on GCP VM instances using those components. You can even use open-source Kubernetes provisioning tools such as kops and kubespray too.

Google Cloud provides GKE On-Prem (https://cloud.google.com/gke-on-prem/), which allows the user to set up GKE on their own data center resources. As of January 2019, this is an alpha version and not open to everyone yet.

However, GCP has a managed Kubernetes service called GKE. Under the hood, this uses some GCP components such as VPC, VM instances, PD, firewall rules, and LoadBalancers.

Of course, as usual you can use the kubectl command to control your Kubernetes cluster on GKE, which includes the Cloud SDK. If you haven't installed the kubectl command on your machine yet, type the following command to install it...

Summary

In this chapter, we discussed Google Cloud Platform. Its basic concept is similar to AWS, but some policies and concepts are different. This is particularly the case for Google Container Engine, as this is a very powerful service for using Kubernetes as production grade. Kubernetes cluster and node management is quite easy to install and upgrade. The cloud provider is also fully integrated with GCP (especially ingress, as this can configure the L7 LoadBalancer with one command). Consequently, it's highly recommended you try GKE if you plan to use Kubernetes on the public cloud.

Chapter 12, Kubernetes on Azure, will explore one more public cloud service named Microsoft Azure, which also provides a managed Kubernetes service.

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Authors (3)

Hideto Saito

Hideto Saito has around 20 years of experience in the computer industry. In 1998, while working for Sun Microsystems Japan, he was impressed by Solaris OS, OPENSTEP, and Sun Ultra Enterprise 10000 (also known as StarFire). He then decided to pursue UNIX and macOS operating systems. In 2006, he relocated to southern California as a software engineer to develop products and services running on Linux and macOS X. He was especially renowned for his quick Objective-C code when he was drunk. He is also an enthusiast of Japanese anime, drama, and motorsports, and loves Japanese Otaku culture.
Read more about Hideto Saito

Hui-Chuan Chloe Lee

Hui-Chuan Chloe Lee is a DevOps and software developer. She has worked in the software industry on a wide range of projects for over five years. As a technology enthusiast, she loves trying and learning about new technologies, which makes her life happier and more fulfilling. In her free time, she enjoys reading, traveling, and spending time with the people she love
Read more about Hui-Chuan Chloe Lee

Cheng-Yang Wu

Cheng-Yang Wu has been tackling infrastructure and system reliability since he received his master's degree in computer science from National Taiwan University. His laziness prompted him to master DevOps skills to maximize his efficiency at work so as to squeeze in writing code for fun. He enjoys cooking as it's just like working with software a perfect dish always comes from balanced flavors and fine-tuned tastes.
Read more about Cheng-Yang Wu

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