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

Example – integration testing with Python


In the case of Python, the example code here uses PyTest as a test framework. The example code can be found on GitHub, in the 0.7.0 branch of the repository https://github.com/kubernetes-for-developers/kfd-flask/.

You can download the example using the following command:

git clone https://github.com/kubernetes-for-developers/kfd-flask/ -b 0.7.0

In the example, I changed the code structure to move all the Python code for the application itself under the src directory, following the recommended pattern from PyTest. If you have not used PyTest before, reviewing their best practices at https://docs.pytest.org/en/latest/goodpractices.html is very worthwhile.

If you view the code or download it, you will also notice a new file, test-dependencies.txt, which defines a number of dependencies specific to testing. Python does not have a manifest where they separate out dependencies for production from ones used during development or testing, so I separated the...