Custom resources, which were first introduced in Kubernetes 1.7, were designed as an extension point to let users create custom API objects and act as native Kubernetes objects. This was done so that users could extend Kubernetes to support the custom objects for their application or specific use cases. Custom resources can be dynamically registered and unregistered. There are two ways to create custom resources: by using a CRD or aggregated API. CRDs are much easier, while an aggregated API requires additional coding in Go. In this section, we'll learn how to write a CRD from scratch.

DevOps with Kubernetes
By :

DevOps with Kubernetes
By:
Overview of this book
Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry.
This book is a guide to everything you need to know about Kubernetes—from simply deploying a container to administrating Kubernetes clusters wisely. You'll learn about DevOps fundamentals, as well as deploying a monolithic application as microservices and using Kubernetes to orchestrate them. You will then gain an insight into the Kubernetes network, extensions, authentication and authorization.
With the DevOps spirit in mind, you'll learn how to allocate resources to your application and prepare to scale them efficiently. Knowing the status and activity of the application and clusters is crucial, so we’ll learn about monitoring and logging in Kubernetes. Having an improved ability to observe your services means that you will be able to build a continuous delivery pipeline with confidence. At the end of the book, you'll learn how to run managed Kubernetes services on three top cloud providers: Google Cloud Platform, Amazon Web Services, and Microsoft Azure.
Table of Contents (14 chapters)
Preface
Introduction to DevOps
DevOps with Containers
Getting Started with Kubernetes
Managing Stateful Workloads
Cluster Administration and Extension
Kubernetes Network
Monitoring and Logging
Resource Management and Scaling
Continuous Delivery
Kubernetes on AWS
Kubernetes on GCP
Kubernetes on Azure
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