On-Demand / 47 minutes
Get up and running with Kubernetes on Azure in this project-focused course.
Chad has been in tech for over thirteen years, starting as a helpdesk technician and now a DevOps Engineer. Through the ups and downs, he's found learning to be one of the most rewarding parts of the job, and encourages all to continuously challege themselves. Having been an instructor for over three years, enjoyment comes from a sincere place of giving.@ChadMCrowell
In this video, we’ll cover why Kubernetes is important and what problems it solves. We’ll also cover what the shared responsibility model is for Azure Kubernetes Service (AKS).
Now that you are familiar with the components of Kubernetes and how AKS fits in, we’ll jump in to the Azure portal and build an AKS cluster using bicep. I will provide access to the repo for this course, which contains many ways to build an AKS cluster, including Terraform, Azure CLI, PowerShell and Bicep.
Now that our AKS cluster is up and running, we’ll use the provided manifest files to deploy our Robot Shop microservices application. Once deployed, you’ll be able to access the app via the Load Balancer public IP address.
With the app lifecycle in mind, we’ll see how to use the cluster auto-scaler, scaling up to handle additional traffic and load to your application.
In this video, we’ll discover the benefits of using a Layer 7 Application Gateway versus a Layer 4 Load Balancer. In order to provide URL-based routing and TLS termination, we’ll deploy an ingress resource backed by Azure Application Gateway in place of the Load Balancer.
Continuing from the last lesson, we’ll ensure that TLS is used with our cluster. We’ll install cert-manger and access our app through a web browser with a valid SSL certificate.
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