Kubernetes was started inside Google to provide a layer of abstraction with containers for modern infrastructure. The technology has now been adopted by the masses and has become a de-facto standard for any cloud-native application. The open-source system provides management, deployment, and scaling of your containers.

This workshop uses microk8s, the simplest production-grade conformant K8s that you can install on a Kubernetes cluster locally to deploy a simple Python application that you create first using manifests and then using Helm charts, which you will create.

This process may seem daunting, but I promise it is not! Python is a great language for beginners and experienced programmers alike. And once you get the hang of it, deploying your application with Docker and Kubernetes is a breeze.

So, let’s get started! I will first show you how to create a simple Python application. Then, we will dockerize it and run it as a container. After that, we will push it to our built-in image registry from microk8s and deploy it to Kubernetes. Finally, we use the helm support in microk8s to create helm charts to help manage and deploy our application while understanding Helm.

Prior knowledge

• Working knowledge of kubectl
• A bit of Python or any general programming language
• Some knowledge about Kubernetes and Docker

What participants need to prepare

• A Code Editor
• Python Installed on your machine
• sudo permission to their devices to install microk8s
• Any cloud provider to create a Ubuntu VM and SSH if there’s no sudo access to their machines

What audience can learn from this session

After completing the workshop, attendees will understand how to create and containerize an endpoint, which in this case will be a Python endpoint. After packing your application, installing microk8s to run your cluster, enabling add-ons, and deploying your container to the cluster will be included.

By the end of this workshop, you will have completed the Helm foundation and learned how to templatize your application by creating a helm chart, deploy your application with helm, and deploy your application image using object manifest manually with packing and playing with YAML.

About the speaker

Hrittik is currently a Community Engineering Intern at Harness and a pre final undergrad, who has previously worked at various startups helping them scale their content efforts. He loves diving deep into distributed systems and creating articles on them and has spoken at conferences such as Azure Cloud Summit, and Kubernetes Community Days among others! His best days are when he finds ways to create impact in the communities he’s a part of either by code, content, or mentorship!

Hrittik Roy

Community Engineering Intern, Harness.io