This lab will take you through a recipe for delivering a microservice based on Python to Kubernetes. We look at a few effective techniques to package Python in an efficient container. Next, you create a CI/CD pipeline using Tekton. Kaniko is used in the pipeline to package a Python microservice in a container. The Tekton pipeline builds and delivers the application to Kubernetes.

The technologies you will touch are:

• Python microservice
• FastAPI with uvicorn
• Docker
• Kaniko
• Tekton
• Kubernetes

It’s a lot to take in, so take your time, and some tea, and settle in with this learning pathway.

The Tekton Pipelines project provides Kubernetes-style resources for declaring CI / CD style pipelines.

Tekton is an open source project that formed as a subproject of the Knative project in March of 2019. Using established Kubernetes style declarations, whole pipelines can be declared. The pipelines run on Kubernetes like any other process. Each step runs as an independent container. Tekton also helps normalize and standardize the terms and methods for forming and running pipelines. Tekton pipelines can complement a variety of popular CI/CD engines. For more information also see the Continuous Delivery Foundation (CDF) .

Tekton Pipelines is a Kubernetes extension that installs and runs on your Kubernetes cluster. It defines a set of Kubernetes Custom Resources that act as building blocks from which you can assemble CI/CD pipelines. Once installed, Tekton Pipelines becomes available via the Kubernetes CLI (kubectl) and API calls, just like pods and other resources. Tekton is open-source and part of the CD Foundation, a Linux Foundation project. – Tekton Project

Within the pipeline is the Kaniko tool that builds OCI containers all within Kubernetes. Kaniko doesn’t depend on a Docker daemon and references on Dockerfiles completely in a safe userspace.

In this lab, you will learn how to:

    ☐ Use FastAPI for developing a Python microservice
    ☐ istill a container that packages Python
    ☐ Install a private registry with a UI
    ☐ Define, run and observe a Tekton pipeline
    ☐ Build a container with Kaniko