hands-on lab

Simplifying Kubernetes Deployments using Kustomize

Difficulty: Intermediate

Duration: Up to 1 hour and 30 minutes

Students: 465

Rating: 4.8/5

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Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.

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Description

Kustomize is a tool for customizing Kubernetes configurations, simplifying the rollout and deployment of applications into clusters. It has the following features to manage application configuration files:

generating resources from other sources
setting cross-cutting fields for resources
composing and customizing collections of resources

In this lab scenario, you'll learn how to use Kustomize Bases and Overlays to deploy 3 different versions (Baseline, Staging, and Production) of the same sample web application into a provided Kubernetes cluster.

Lab Objectives

Upon completion of this lab, you will be able to:

Use Kustomize to deploy a basic web application which has been packaged already into a docker image (hosted on DockerHub).
Understand how to use configure and work with Kustomize Bases and Overlays
Use Kustomize to generate 3 different enviroment specific deployments:
- Baseline - the baseline deployment version of the webapp
- Staging - uses a Kustomize overlay to change the baseline deployment settings
- Production - uses a Kustomize overlay to change the baseline deployment settings
Test and validate the Base, Staging, and Production deployed cluster resources using the curl command and your workstations browser

You should:

Be comfortable with basic Linux command line administration
Be comfortable with basic Kubernetes and Container based concepts

Lab Environment

This lab will start with the following AWS resources provisioned automatically for you:

2 x EC2 instances - each assigned a public IP address:
- ide.cloudacademy.platform.instance - provides a web-based IDE with integrated terminal
- k8s.cloudacademy.platform.instance - provides a fully functional and running Kubernetes cluster

To achieve the Lab end state, you will be walked through the process of:

Using your local workstation browser to remotely connect to the ide.cloudacademy.platform.instance
Using the web-based IDE and integrated terminal, you'll complete the remainder of the stated Lab Objectives (above)