Skip to content

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.
  • Labs icon Lab
  • A Cloud Guru
Azure icon
Labs

Configure Azure Kubernetes Service (AKS) Scaling

When you are running applications in Azure Kubernetes Service (AKS), you may need to scale the compute resources to meet the demands of your applications. In this lab, you will learn how to scale your AKS cluster resources to meet demand. For this lab, you should have a basic understanding of Kubernetes.

Try for free Contact sales
Azure icon
Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 30m
Published
Clock icon Jul 29, 2024

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.

Table of Contents

  1. Challenge

    Prevent Scheduling of Application Pods on System Node Pools

    1. Prevent user workloads from being scheduled on the system node pool named agentpool.

  2. Challenge

    Deploy a Workload

    1. Deploy a workload to the AKS cluster using the following manifest file:

      manifest.yaml

    2. Review the number of ready pods for the workload myaksapp-deployment.

  3. Challenge

    Create a User Node Pool That Uses the Cluster Autoscaler

    1. Create a new user node pool that users the cluster autoscaler with the following properties:
      • Name: userpool
      • Minimum Node Count: 0
      • Maxiumum Node Count: 3
      • Maximum Pods: 10
      • Node VM Size: Standard_D2s_v3
      • Operating System: Ubuntu

  4. Challenge

    Manually Scale a Workload

    1. Manually scale your workload up to 12 replicas.

      Tip: You can manually scale the workload to 12 replicas using the following command:

      kubectl scale deployment/myaksapp-deployment --replicas=12

    2. Manually scale your workload back down to 1 replica.

  5. Challenge

    Configure a Horizontal Pod Autoscaler

    1. Configure the Horizontal Pod Autoscaler using the provided manifest file: updated-mainfest.yaml

    2. Test the Horizontal Pod Autoscaler by loading up the CPU on a pod in the deployment using the stress tool, for example by running the following command on your pod:

      apt-get update && apt-get install -y stress; stress --cpu 1
A Cloud Guru - Labs - Configure Azure Kubernetes Service (AKS) Scaling
Author
A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

On average, you retain 75% more of your learning if you get time for practice.

Start learning by doing today

View Plans