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LABINTERMEDIATE

Kubernetes Automation with Python

Master Kubernetes automation using the Python client library to programmatically manage pods, deployments, and services with production-ready self-service tools.

90 minutes
Platform Engineering
Kubernetes Automation with Python - Platform Engineering Hands-On Lab Icon

Lab Overview

Master Kubernetes automation using the Python client library. Learn to programmatically manage pods, deployments, services, and complete application workflows. Build production-ready self-service automation tools for platform engineering.

What You'll Learn

Master the Kubernetes Python client library for cluster automation

Automate pod and deployment lifecycle management programmatically

Implement service and ingress resource automation with Python

Build self-service deployment tools for developer productivity

Handle Kubernetes API errors and implement robust error handling

Use Jinja2 templates for dynamic Kubernetes manifest generation

Create production-ready automation scripts for platform engineering

Prerequisites

Week 13 Lab 1: Python Programming for Automation completed

Week 8-12: Kubernetes fundamentals (pods, deployments, services, ingress)

Understanding of Kubernetes YAML manifests and resource types

Basic knowledge of Python functions and modules

Technologies Covered

kubernetespythonautomationplatform-engineeringdevopsk8s-clientself-serviceci-cd

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