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)

Gravitating towards a future infrastructure

It's always hard to tell whether a tool is a right fit or not, especially on opting for a cluster management software to underpin business missions, because the difficulties and challenges with which everyone is confronted varies. Apart from objective concerns such as performance, stability, availability, scalability, and usability, real circumstances also account for a significant portion of the decision. For instance, perspective on choosing a stack for developing greenfield projects and for building additional layers on top of bulky legacy systems could be diverse. Likewise, operating services by a highly cohesive DevOps team and by an organization working in the old day styles could also lead to distinct choices.

In addition to Kubernetes, there are still other platforms, which also feature orchestrating containers, and they...