Textbook in PDF format

Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help.
Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. You'll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure.
With this book, you will:
Learn how to use basic Kubernetes resources to compose data infrastructure
Automate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and operators
Evaluate and select data infrastructure technologies for use in your applications
Integrate data infrastructure technologies into your overall stack
Explore emerging technologies that will enhance your Kubernetes-based applications in the future
Who Is This Book For?
The primary audience for this book comprises the developers and architects who are designing, building, and running applications in the cloud. If that describes you and you’re picking up this book, chances are you’ve heard the thundering herd of organizations adopting Kubernetes and have joined that trend or are at least considering it. However, you may have also heard the reservations about stateful workloads on Kubernetes and are looking for help in how to proceed. You’ve come to the right place!
By reading this book you will gain the following:
• An understanding of basic Kubernetes resources and how they are used to compose data infrastructure
• An appreciation for how tools like Helm and operators can automate the deployment and operations of data infrastructure on Kubernetes
• The ability to evaluate and select data infrastructure technologies for use in your applications
• The knowledge of how to integrate these data infrastructure technologies into your overall stack
• A view toward emerging technologies that will enhance your Kubernetes-based applications in the years to come
A smaller but no less important audience includes core Kubernetes developers and data infrastructure developers, many of whom we’ve met through the DoKC. We hope to create a common set of principles and best practices that we can use as a framework to drive improvements into the Kubernetes core as well as the data infrastructure built to run in Kubernetes. Together we can push the practice of data on Kubernetes forward. For everyone, know that our objective in this book is to shoot straight. Where the technology is mature and solid, we’ll let you know, but there are also many areas where the technology is still emerging. We’ll make sure to highlight those areas where improvement is needed