Model and Run Apps in Kubernetes you own this product

prerequisites
basics of Docker • basics of Kubernetes
skills learned
running containerized applications in Kubernetes with Pods • connecting distributed applications using Services • applying application configuration settings from the cluster
Elton Stoneman
1 week · 4-6 hours per week · BEGINNER
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Look inside

In this liveProject, you’ll take an existing application and model it in Kubernetes. You’ll work with a prepackaged application for IoT company Widgetario to explore the core concepts of Kubernetes such as Pods and Deployments, Services, ConfigMaps, and Secrets. You’ll complete common tasks like routing network traffic, performing application updates, and configuring the app to run with high availability and scale. This project will ground you in the best practices of deploying an app to Kubernetes, with a fully working demo that can run with high availability and scale.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Elton Stoneman
Elton is a freelance consultant and trainer. He spent most of his career designing and building large enterprise applications, until he discovered the container revolution, joined Docker, and worked with the team for three fast and furious years. Now he helps people break up those old enterprise apps and build new cloud-native apps - and run them all in Docker and Kubernetes. He speaks at conferences and runs training courses all around the world, writes books and video courses, and helps organizations at every stage in their container and cloud journey. Elton’s a 12-time Microsoft MVP and a Docker Captain.

prerequisites

This liveProject is for beginner Kubernetes users, who are comfortable with the core ideas of containerization. To begin this liveProject, you will need to be familiar with the following:

TOOLS
  • Basics of Docker
  • Basics of Kubernetes
  • A text editor with support for YAML files
  • Basics of a CLI such as PowerShell or Linux shells
TECHNIQUES
  • Describing Kubernetes resources in YAML
  • Managing Kubernetes with the Kubectl command line
  • Debugging communication in distributed apps

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