Azure Classroom notes 26/Nov/2023

Azure Virtual Machine Scaleset (VMSS)

  • Virtual machine scaleset allows to perform automatic horizontal scaling based on metrics such as cpu, network, memory or even custom metrics
  • To Create a virtual machine scaleset we need a image. Here we have two choices, use
    • OS image
    • Custom image with application preinstalled
  • Using Custom image is widely adopted option.
  • We will be creating a VMSS using the image which we stored in compute gallery
  • Refer Here for official docs
  • Refer Here for quick start
  • We have create a vmss with
    • scale condition: when average cpu utilization > 90 % for last 5 minutes increase 1 vms and when average cpu utilization < 50% for last 5 mins decrease 1 vm
    • min vms 1
    • max vms 5
    • No loadbalancer
    • Selected public ip for each vm




  • To scale these machines the condition is cpu utilization should be greater than 90% for 5 minutes.
  • To put artifical load on cpu lets use the stress tool
# login into vm and execute the following command
stress --cpu 8 --io 4 --vm 2 --vm-bytes 128M --timeout 15m -v
  • we have observed the number of vms increased and decreased based on dynamic metrics.

Virtual Machine Image Auto Upgrade

  • The goal of this activity is to check if the vm image update to the compute gallery image definition will deploy into vmss
  • Details
    • We have a version 1.0.0 where vmss was created
    • Now we have a new release 1.1.0. When we have a new release how will vmss handle this
  • Lets have a gallery with some image defintion at version 1.0.0.
  • Create a vmss with this image
  • Now add one more version of the vm image 1.0.1 to the gallery and wait for the vmimage to be deployed to vmss
  • Note:
    • Try using any html website templates and copy that to /var/www/html to give a better look and feel
  • Next steps:
    • Create a vmss with version 1.0.0
    • ensure you are able to access application using load balancer
    • Now create a new latest version and wait for web pages to be loaded.
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By continuous learner

devops & cloud enthusiastic learner

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