148422597X Kubernetes Management Design Patterns [Vohra 2017-01-29] {E559F6BB}

CHAPTER 3
Kubernetes on Google Cloud
Platform
Google Cloud Platform is a public cloud computing platform that includes database services and
infrastructure on which applications and websites may be hosted on managed virtual machines. This
integrated PaaS/IaaS is a collection of services that may be categorized into Compute, Storage and
Databases, Networking, Big Data, and Machine Learning, to list a few.
Problem
While Docker is pre-installed on CoreOS, Kubernetes is not. As discussed in Chapter 2 Kubernetes has to be
installed on CoreOS.
Solution
The service category of most interest for using Kubernetes is Compute, which includes a Compute Engine
for running large-scale workloads on virtual machines hosted on Google’s infrastructure, an App Engine
for developing scalable web and mobile apps, and a Container Engine for running Docker containers on
Kubernetes on Google’s infrastructure. Google Container Engine is a Kubernetes based cluster manager for
Docker containers and thus does not require installation of Kubernetes. We shall use the Google Container
Engine, a Google managed service for Kubernetes. Google Container Engine has Docker preinstalled and
provides built-in support for Google Cloud Platform, which as stated is both an Infrastructure as a Service
(IaaS) and a Platform as a Service (PaaS). Google Cloud Platform is an alternative to Amazon Web Services
(AWS), which is the cloud provider we use in most other chapters.
Overview
The design patterns discussed in subsequent chapters may be used on Google Cloud Platform as well,
though the configuration could be different. In this chapter we will use the Google Compute Engine to
create a virtual machine instance, install Kubernetes on it using binaries, and subsequently create a sample
Kubernetes application and service. We shall also discuss using the Google Container Engine, which is
Kubernetes based cluster manager for Docker containers. The steps we’ll take are as follows:
Setting the Environment
Creating a Project on Google Cloud Platform
Enabling Permissions
© Deepak Vohra 2017
D. Vohra, Kubernetes Management Design Patterns, DOI 10.1007/978-1-4842-2598-1_3
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