Cloud Computing & DevOps · Cloud Computing & DevOps

Kubernetes for Python Developers

Learn Kubernetes fundamentals with a Python focus. Covers cluster architecture, pods, deployments, services, ingress, ConfigMaps, secrets, and persistent volumes. Includes hands-on labs using kubectl and Helm, plus Python client examples for automating cluster operations. Ideal for backend engineers and DevOps who want to containerize and orchestrate Python services confidently in production.

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Lesson outline

  1. 1
    K8s Architecture for Python Apps

    Understand Kubernetes architecture for Python apps in this first lesson of the Kubernetes for Python Developers track. Learn the core concepts, hands-on steps, troubleshooting, and what to study next.

  2. 2
    Set Up Minikube Cluster

    Learn how to set up a local Kubernetes cluster with Minikube in this hands-on tutorial for Python developers. Step-by-step instructions, troubleshooting, and next steps included.

  3. 3
    Install kubectl and Configure Context

    Install kubectl and configure your first Kubernetes context in this hands-on tutorial for Python developers. Learn step-by-step setup, verify your cluster connection, and get ready for the next lesson.

  4. 4
    Run Your First Pod with Python

    Run your first pod with a Python image — Kubernetes for Python Developers.

  5. 5
    Inspect Pods and Container Logs

    Learn to inspect pods and view container logs with kubectl in this Kubernetes for Python Developers tutorial — hands-on steps, troubleshooting, and what to study next.

  6. 6
    Python Pod Manifests in YAML

    Learn to define Python pod manifests in YAML for Kubernetes. Step-by-step tutorial with hands-on exercise, troubleshooting, and next steps.

  7. 7
    Use labels and selectors for Python pods

    Use labels and selectors to organize Python pods in Kubernetes. Learn how to group, filter, and manage pods efficiently in this hands-on tutorial for Python developers.

  8. 8
    Work with Namespaces

    Learn how to work with Kubernetes namespaces for Python environments. This lesson covers the core concepts, practical steps, and troubleshooting tips to help you isolate and organize your Python services.

  9. 9
    Create a FastAPI Deployment

    Learn how to create a Kubernetes deployment for a FastAPI service in this step-by-step tutorial. Understand the core concepts, work through a hands-on exercise, and get tips on troubleshooting common issues.

  10. 10
    Scale Python Deployments with Replicas

    In this lesson, you'll scale Python deployments with replicas in Kubernetes. Learn how replica sets ensure availability, how to adjust replica counts using kubectl, and best practices for scaling stateless Python services in production.

  11. 11
    Rolling Deployments for Python Apps

    Learn to update Python apps with rolling deployments in Kubernetes. Step-by-step guide with hands-on exercises, troubleshooting, and next steps.

  12. 12
    Rollback Python Deployments

    Learn to rollback Python deployments in Kubernetes: use kubectl rollout undo, check history, verify Pods, and recover from bad releases. Step-by-step for Python developers.

    Kubernetes for Python Developers — step-by-step tutorials

    What you will find here

    This track walks through kubernetes for python developers in order — each lesson is server-rendered HTML you can read without JavaScript. Follow the outline, then practice in the browser IDE when a lesson links to runnable code.

    Tutorials vs quizzes and code samples

    Tutorials teach in sequence. For quick checks use quizzes. For copy-paste snippets see code samples. For deeper reading browse articles.