Book Image

DevOps with Kubernetes - Second Edition

By : Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu
Book Image

DevOps with Kubernetes - Second Edition

By: Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu

Overview of this book

Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry. This book is a guide to everything you need to know about Kubernetes—from simply deploying a container to administrating Kubernetes clusters wisely. You'll learn about DevOps fundamentals, as well as deploying a monolithic application as microservices and using Kubernetes to orchestrate them. You will then gain an insight into the Kubernetes network, extensions, authentication and authorization. With the DevOps spirit in mind, you'll learn how to allocate resources to your application and prepare to scale them efficiently. Knowing the status and activity of the application and clusters is crucial, so we’ll learn about monitoring and logging in Kubernetes. Having an improved ability to observe your services means that you will be able to build a continuous delivery pipeline with confidence. At the end of the book, you'll learn how to run managed Kubernetes services on three top cloud providers: Google Cloud Platform, Amazon Web Services, and Microsoft Azure.
Table of Contents (14 chapters)

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...