Book Image

Mastering Kubernetes - Third Edition

By : Gigi Sayfan
Book Image

Mastering Kubernetes - Third Edition

By: Gigi Sayfan

Overview of this book

The third edition of Mastering Kubernetes is updated with the latest tools and code enabling you to learn Kubernetes 1.18’s latest features. This book primarily concentrates on diving deeply into complex concepts and Kubernetes best practices to help you master the skills of designing and deploying large clusters on various cloud platforms. The book trains you to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. With the two new chapters, you will gain expertise in serverless computing and utilizing service meshes. As you proceed through the chapters, you will explore different options for network configuration and learn to set up, operate, and troubleshoot Kubernetes networking plugins through real-world use cases. Furthermore, you will understand the mechanisms of custom resource development and its utilization in automation and maintenance workflows. By the end of this Kubernetes book, you will graduate from an intermediate to advanced Kubernetes professional.
Table of Contents (19 chapters)
17
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18
Index

Evolving the Hue platform with Kubernetes

In this section, we'll discuss other ways to extend the Hue platform and service additional markets and communities. The question is always this: what Kubernetes features and capabilities can we use to address new challenges or requirements?

Utilizing Hue in an enterprise

An enterprise often can't run in the cloud, either due to security and compliance reasons or for performance reasons because the system has to work with data and legacy systems that are not cost-effective to move to the cloud. Either way, Hue for enterprise must support on-premises clusters and/or bare-metal clusters.

While Kubernetes is most often deployed on the cloud, and even has a special cloud-provider interface, it doesn't depend on the cloud and can be deployed anywhere. It does require more expertise, but enterprise organizations that already run systems on their own data centers have that expertise.

Advancing science with Hue

Hue...