Book Image

The Kubernetes Operator Framework Book

By : Michael Dame
1 (1)
Book Image

The Kubernetes Operator Framework Book

1 (1)
By: Michael Dame

Overview of this book

From incomplete collections of knowledge and varying design approaches to technical knowledge barriers, Kubernetes users face various challenges when developing their own operators. Knowing how to write, deploy, and pack operators makes cluster management automation much easier – and that's what this book is here to teach you. Beginning with operators and Operator Framework fundamentals, the book delves into how the different components of Operator Framework (such as the Operator SDK, Operator Lifecycle Manager, and OperatorHub.io) are used to build operators. You’ll learn how to write a basic operator, interact with a Kubernetes cluster in code, and distribute that operator to users. As you advance, you’ll be able to develop a sample operator in the Go programming language using Operator SDK tools before running it locally with Operator Lifecycle Manager, and also learn how to package an operator bundle for distribution. The book covers best practices as well as sample applications and case studies based on real-world operators to help you implement the concepts you’ve learned. By the end of this Kubernetes book, you’ll be able to build and add application-specific operational logic to a Kubernetes cluster, making it easier to automate complex applications and augment the platform.

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Table of Contents (16 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Code in Action
Download the color images
Conventions used
Get in touch
Share Your Thoughts
1
Part 1: Essentials of Operators and the Operator Framework
Part 1: Essentials of Operators and the Operator Framework
Free Chapter
2
Chapter 1: Introducing the Operator Framework
Chapter 1: Introducing the Operator Framework
Technical requirements
Managing clusters without Operators
Introducing the Operator Framework
Developing with the Operator SDK
Managing Operators with OLM
Distributing Operators on OperatorHub.io
Defining Operator functions with the Capability Model
Using Operators to manage applications
Summary
3
Chapter 2: Understanding How Operators Interact with Kubernetes
Chapter 2: Understanding How Operators Interact with Kubernetes
Interacting with Kubernetes cluster resources
Identifying users and maintainers
Designing beneficial features for your operator
Planning for changes in your Operator
Summary
4
Part 2: Designing and Developing an Operator
Part 2: Designing and Developing an Operator
5
Chapter 3: Designing an Operator – CRD, API, and Target Reconciliation
Chapter 3: Designing an Operator – CRD, API, and Target Reconciliation
Describing the problem
Designing an API and a CRD
Working with other required resources
Designing a target reconciliation loop
Handling upgrades and downgrades
Using failure reporting
Summary
6
Chapter 4: Developing an Operator with the Operator SDK
Chapter 4: Developing an Operator with the Operator SDK
Technical requirements
Setting up your project
Defining an API
Adding resource manifests
Writing a control loop
Troubleshooting
Summary
7
Chapter 5: Developing an Operator – Advanced Functionality
Chapter 5: Developing an Operator – Advanced Functionality
Technical requirements
Understanding the need for advanced functionality
Reporting status conditions
Implementing metrics reporting
Implementing leader election
Adding health checks
Summary
8
Chapter 6: Building and Deploying Your Operator
Chapter 6: Building and Deploying Your Operator
Technical requirements
Building a container image
Deploying in a test cluster
Pushing and testing changes
Troubleshooting
Summary
9
Part 3: Deploying and Distributing Operators for Public Use
Part 3: Deploying and Distributing Operators for Public Use
10
Chapter 7: Installing and Running Operators with the Operator Lifecycle Manager
Chapter 7: Installing and Running Operators with the Operator Lifecycle Manager
Technical requirements
Understanding the OLM
Running your Operator
Working with OperatorHub
Troubleshooting
Summary
11
Chapter 8: Preparing for Ongoing Maintenance of Your Operator
Chapter 8: Preparing for Ongoing Maintenance of Your Operator
Technical requirements
Releasing new versions of your Operator
Planning for deprecation and backward compatibility
Complying with Kubernetes standards for changes
Aligning with the Kubernetes release timeline
Working with the Kubernetes community
Summary
12
Chapter 9: Diving into FAQs and Future Trends
Chapter 9: Diving into FAQs and Future Trends
FAQs about the Operator Framework
FAQs about Operator design, CRDs, and APIs
FAQs about the Operator SDK and coding controller logic
FAQs about OperatorHub and the OLM
Future trends in the Operator Framework
Summary
13
Chapter 10: Case Study for Optional Operators – the Prometheus Operator
Chapter 10: Case Study for Optional Operators – the Prometheus Operator
A real-world use case
Operator design
Operator distribution and development
Updates and maintenance
Summary
14
Chapter 11: Case Study for Core Operator – Etcd Operator
Chapter 11: Case Study for Core Operator – Etcd Operator
Core Operators – extending the Kubernetes platform
etcd Operator design
Stability and safety
Upgrading Kubernetes
Summary
Why subscribe?
15
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To get the most out of this book

It is assumed that you have at least a foundational understanding of basic Kubernetes concepts and terms due to the fact that the Operator Framework builds heavily on these concepts to serve its purpose. These include topics such as basic application deployment and a familiarity with command-line tools such as kubectl for interacting with Kubernetes clusters. While direct hands-on experience with these topics is not necessary, it will be helpful.

In addition, administrator access to a Kubernetes cluster is needed in order to complete all of the sample tasks in the book (for example, deploying an Operator in Chapter 6, Building and Deploying Your Operator). The chapters that require a Kubernetes cluster offer some options for creating disposable clusters and basic setup steps for doing so, but in order to focus on the main content, these sections intentionally do not go into thorough detail regarding cluster setup. It is strongly recommended to use a disposable cluster for all examples in order to avoid accidental damage to sensitive workloads.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book's GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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