Book Image

Mastering Kubernetes - Second Edition

By : Gigi Sayfan
Book Image

Mastering Kubernetes - Second Edition

By: Gigi Sayfan

Overview of this book

Kubernetes is an open source system that is used to automate the deployment, scaling, and management of containerized applications. If you are running more containers or want automated management of your containers, you need Kubernetes at your disposal. To put things into perspective, Mastering Kubernetes walks you through the advanced management of Kubernetes clusters. To start with, you will learn the fundamentals of both Kubernetes architecture and Kubernetes design in detail. You will discover how to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. Using real-world use cases, you will explore the options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you will get to grips with custom resource development and utilization in automation and maintenance workflows. To scale up your knowledge of Kubernetes, you will encounter some additional concepts based on the Kubernetes 1.10 release, such as Promethus, Role-based access control, API aggregation, and more. By the end of this book, you’ll know everything you need to graduate from intermediate to advanced level of understanding Kubernetes.
Table of Contents (16 chapters)

Writing Kubernetes plugins

In this section, we will dive into the guts of Kubernetes and learn how to take advantage of its famous flexibility and extensibility. We will learn about the different aspects that can be customized via plugins, and how to implement such plugins and integrate them with Kubernetes.

Writing a custom scheduler plugin

Kubernetes defines itself as a container scheduling and management system. As such, the scheduler is the most important component of Kubernetes. Kubernetes comes with a default scheduler, but allows for writing additional schedulers. To write your own custom scheduler, you need to understand what the scheduler does, how it is packaged, how to deploy your custom scheduler, and how to integrate...