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The Kubernetes Operator Framework Book

You're reading from   The Kubernetes Operator Framework Book Overcome complex Kubernetes cluster management challenges with automation toolkits

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781803232850
Length 328 pages
Edition 1st Edition
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Author (1):
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Michael Dame Michael Dame
Author Profile Icon Michael Dame
Michael Dame
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Essentials of Operators and the Operator Framework
2. Chapter 1: Introducing the Operator Framework FREE CHAPTER 3. Chapter 2: Understanding How Operators Interact with Kubernetes 4. Part 2: Designing and Developing an Operator
5. Chapter 3: Designing an Operator – CRD, API, and Target Reconciliation 6. Chapter 4: Developing an Operator with the Operator SDK 7. Chapter 5: Developing an Operator – Advanced Functionality 8. Chapter 6: Building and Deploying Your Operator 9. Part 3: Deploying and Distributing Operators for Public Use
10. Chapter 7: Installing and Running Operators with the Operator Lifecycle Manager 11. Chapter 8: Preparing for Ongoing Maintenance of Your Operator 12. Chapter 9: Diving into FAQs and Future Trends 13. Chapter 10: Case Study for Optional Operators – the Prometheus Operator 14. Chapter 11: Case Study for Core Operator – Etcd Operator 15. Other Books You May Enjoy

FAQs about the Operator Framework

These topics include an overview of the Operator Framework, its basic components, and the general vocabulary of Operator design. The topics from this section are from Chapter 1, Introducing the Operator Framework.

What is an Operator?

An Operator is a type of Kubernetes controller. Operators are designed to automate the management of Kubernetes applications and cluster components. They do this by continuously working to reconcile the current state of the cluster with the desired state, as defined by a user or administrator.

What benefit do Operators provide to a Kubernetes cluster?

Operators provide an idiomatic way for developers to encode automated cluster and application management logic into a controller. Operators also offer ways to expose the settings for this automation to non-developer users (for example, cluster administrators or customers). This automation frees up engineering and DevOps resources for many tasks.

How are Operators...

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