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.
Lab Overview
🛠Lab from the Platform Engineering Bootcamp. Used in Week 14. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/platform-engineering-bootcamp Parent course(s):
- Week 14: Python for Platform Engineering: Part 1 (slug: python-platform-engineering-part-1)
🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running TaskFlow project that grows across all 21 weeks of the bootcamp.
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
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