Book Image

DevOps with Kubernetes

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

DevOps with Kubernetes

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

Overview of this book

Containerization is said to be the best way to implement DevOps. Google developed Kubernetes, which orchestrates containers efficiently and is considered the frontrunner in container orchestration. Kubernetes is an orchestrator that creates and manages your containers on clusters of servers. This book will guide you from simply deploying a container to administrate a Kubernetes cluster, and then you will learn how to do monitoring, logging, and continuous deployment in DevOps. The initial stages of the book will introduce the fundamental DevOps and the concept of containers. It will move on to how to containerize applications and deploy them into. The book will then introduce networks in Kubernetes. We then move on to advanced DevOps skills such as monitoring, logging, and continuous deployment in Kubernetes. It will proceed to introduce permission control for Kubernetes resources via attribute-based access control and role-based access control. The final stage of the book will cover deploying and managing your container clusters on the popular public cloud Amazon Web Services and Google Cloud Platform. At the end of the book, other orchestration frameworks, such as Docker Swarm mode, Amazon ECS, and Apache Mesos will be discussed.
Table of Contents (12 chapters)

Getting started with Kubernetes

In this section, we will learn how to set up a small single-node cluster at the start. Then we'll get to learn how to interact with Kubernetes via its command-line tool--kubectl. We will go through all the important Kubernetes API objects and their expression in YAML format, which is the input to kubectl, then kubectl will send the request to the API server accordingly.

Preparing the environment

The easiest way to start is running minikube (https://github.com/kubernetes/minikube), which is a tool to run Kubernetes on a single node locally. It supports to run on Windows, Linux, and macOS. In the following example, we'll run on macOS. Minikube will launch a VM with Kubernetes installed...