Book Image

Kubernetes for Developers

By : Joseph Heck
Book Image

Kubernetes for Developers

By: Joseph Heck

Overview of this book

Kubernetes is documented and typically approached from the perspective of someone running software that has already been built. Kubernetes may also be used to enhance the development process, enabling more consistent testing and analysis of code to help developers verify not only its correctness, but also its efficiency. This book introduces key Kubernetes concepts, coupled with examples of how to deploy and use them with a bit of Node.js and Python example code, so that you can quickly replicate and use that knowledge. You will begin by setting up Kubernetes to help you develop and package your code. We walk you through the setup and installation process before working with Kubernetes in the development environment. We then delve into concepts such as automating your build process, autonomic computing, debugging, and integration testing. This book covers all the concepts required for a developer to work with Kubernetes. By the end of this book, you will be in a position to use Kubernetes in development ecosystems.
Table of Contents (16 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Chapter 6. Background Processing in Kubernetes

Kubernetes includes support for one-off (also known as batch) computation work, as well as supporting common use cases for asynchronous background work. In this chapter, we look at the Kubernetes concept of job, and its neighbor, CronJob. We also look at how Kubernetes handles and supports persistence, and some of the options that are available within Kubernetes. We then look at how Kubernetes can support asynchronous background tasks and the ways those can be represented, operated, and tracked by Kubernetes. We also go over how to set up worker codes operating from a message queue.

Topics covered in this chapter include:

  • Job
  • CronJob
  • A worker queue example with Python and Celery
  • Persistence with Kubernetes
  • Stateful Sets
  • Custom Resource Definitions (CRDs)