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)

Handling Kubernetes Storage

In this chapter, we'll look at how Kubernetes manages storage. Storage is very different from compute, but at a high level they are both resources. Kubernetes, as a generic platform, takes the approach of abstracting storage behind a programming model and a set of plugins for storage providers. First, we'll go into detail about the storage conceptual model and how storage is made available to containers in the cluster. Then, we'll cover the common cloud platform storage providers, such as AWS, GCE, and Azure. Then we'll look at a prominent open source storage provider (GlusterFS from Red Hat), which provides a distributed filesystem. We'll also look into an alternative solution–Flocker–that manages your data in containers as part of the Kubernetes cluster. Finally, we'll see how Kubernetes supports the integration...