The Python application should run inside a container, like all services running on Kubernetes. Thus, the client library defined in this section is packaged with the following Dockerfile. This container definition enables the application to run its isolated environment with its dependencies:

FROM python:3
RUN pip install kubernetes
ADD . /client.py
CMD ["python", "./client.py"]

The following are remarks about the preceding code:

• The container has the basis of Python supporting version 3.
• The Kubernetes Python client library is installed using pip in line 3.
• The client application is copied into the container in line 5 and started in line 7.

In the following section, the code snippets presented for Python are utilized to work in a Kubernetes cluster. The complete code is packaged as a Docker container with its dependencies. With this container, the application is deployed to Kubernetes in an isolated way, which follows a microservice architecture.