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)

Container life cycle

Using containers is not as intuitive as the tools that we are used to work with. In this section, we will go through Docker usages from the most fundamental ideas to the extent that we are able to benefit from containers.

Docker basics

When docker run alpine ls is executed, what Docker did behind the scenes is:

  1. Find the image alpine locally. If not found, Docker will try to find and pull it from the public Docker registry to the local image storage.
  2. Extract the image and create a container accordingly.
  3. Execute the entry point defined in the image with commands, which are the arguments after the image name. In this example, it is ls. The entry point by default is /bin/sh -c on the Linux-based Docker.
  4. When...