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Kubernetes 101 Challenge

For scheduling applications consisting of multiple containers you typically use an orchestrator. Kubernetes is an orchestrator and in this chapter you will set up a Kubernetes cluster in Azure Kubernetes Service (AKS) and an Azure Container Registry (ACR) to store your images.

Here's what you'll learn:

  • How to set up a Kubernetes Cluster with Azure Kubernetes Services
  • How to access the cluster with the commandline command "kubectl"
  • Get to know the basic command set of "kubectl"
  • Understand the concept of pods and services and how they come together
  • Get in touch with Yaml files to specify a desired state for a Kubernetes object

1. Create a Kubernetes cluster on Azure Container Services

  • Set up your Kuberenetes cluster using Azure Kubernetes Services.

Need help? Check hints here 📘!

The deployment will take some time (~10 min).

If you want you can create the cluster using terraform and the example terraform script here 📘!

2. Run single container app in your K8s cluster

This is about running your first container in Kubernetes Need help? Check hints here 📘!

  • Run a public available application in a single container on your cluster. The image name is "nginx".
    • Use the "kubectl run" to create an individual pod
    • Use the "kubectl create " to create a desired state configuration using a deployment
  • Add a service to make your application accessible from the internet
    • Use the "kubectl expose" command and "kubectl edit YOURSERVICE" command.
  • Start your webbrowser to view your application running in your cluster.

3. Kubernetes discovery

This is about learning the Kubernetes objects Need help? Check hints here 📘!

  • If you want to work with namespaces. Create your own namespace 'dennisspace' with
kubectl create ns dennisspace

and apply this postfix to your kubectl commands like

kubectl run meinnginx --generator=run-pod/v1 --image=nginx -n dennisspace
kubectl get pods -n dennisspace
  • Familiarize yourself with the following commands on commandline, eg.
kubectl get pods    // to display all pods
kubectl get svc     // to display all services
kubectl get deployments     // to display all deployments
kubectl delete pods/<podid> // to delete a specific pod
kubectl describe deployment <deploymentname> // look up yaml for a deployment

4. Execute deployments via yaml

This is about creating a desired state configration for your apps Need help? Check hints here 📘! here 📘!

  • Launch the nginx deployment via yaml file (see if you can download it somewhere?)
  • Launch a custom image from your registry (learn about secrets or registry authentication) here 📘!
  • You can declare a namespace inside your yaml file
  • Delete the frontend pod using the commandline and call the website again.
  • You'll recognize that it will no longer work - but they restart?

BONUS Challenge - Scaling apps automatically

Need help? Check hints here 📘!

  • Configure your deployment to ensure that the number of replicas scales automatically according to the load
  • Configure a horizontal pod autoscaler for your deployment
  • Create some traffic to ensure that the scale operation starts
  • Evaluate the azure monitor to see performance metrics