DEMO Virtual Machine Scale Sets Azure auto-scaling In Microsoft Azure

Learn with a quick DEMO on Virtual Machine Scale Sets Azure auto-scaling In Microsoft Azure.
If you are looking for Microsoft Azure Virtual machine scale set configuration with a DEMO this lecture is for you.
Make sure you check the previous lecture on a detailed Overview.
This series is part of Free azure training - #63
What are virtual machine scale sets?
Azure virtual machine scale sets let you create and manage a group of load-balanced VMs. The number of VM instances can automatically increase or decrease in response to demand or a defined schedule. Scale sets provide high availability to your applications and allow you to centrally manage, configure, and update a large number of VMs. With virtual machine scale sets, you can build large-scale services for areas such as compute, big data, and container workloads.
Why use virtual machine scale sets?
To provide redundancy and improved performance, applications are typically distributed across multiple instances. Customers may access your application through a load balancer that distributes requests to one of the application instances. If you need to perform maintenance or update an application instance, your customers must be distributed to another available application instance. To keep up with additional customer demand, you may need to increase the number of application instances that run your application.
Azure virtual machine scale sets provide the management capabilities for applications that run across many VMs, automatic scaling of resources, and load balancing of traffic. Scale sets provide the following key benefits:
Easy to create and manage multiple VMs
When you have many VMs that run your application, it's important to maintain a consistent configuration across your environment. For the reliable performance of your application, the VM size, disk configuration, and application installs should match across all VMs.
With scale sets, all VM instances are created from the same base OS image and configuration. This approach lets you easily manage hundreds of VMs without additional configuration tasks or network management.
Scale sets support the use of the Azure load balancer for basic layer-4 traffic distribution and Azure Application Gateway for more advanced layer-7 traffic distribution and TLS termination.
Provides high availability and application resiliency
Scale sets are used to run multiple instances of your application. If one of these VM instances has a problem, customers continue to access your application through one of the other VM instances with minimal interruption.
For additional availability, you can use Availability Zones to automatically distribute VM instances in a scale set within a single datacenter or across multiple data centers.
Allows your application to automatically scale as resource demand changes
Customer demand for your application may change throughout the day or week. To match customer demand, scale sets can automatically increase the number of VM instances as application demand increases, then reduce the number of VM instances as demand decreases.
Autoscale also minimizes the number of unnecessary VM instances that run your application when demand is low, while customers continue to receive an acceptable level of performance as demand grows and additional VM instances are automatically added. This ability helps reduce costs and efficiently create Azure resources as required.
Works at large-scale
Scale sets support up to 1,000 VM instances. If you create and upload your own custom VM images, the limit is 600 VM instances.
For the best performance with production workloads, use Azure Managed Disks.
Use Azure Monitor for VMs, which has a simple onboarding process and will automate the collection of important CPU, memory, disk, and network performance counters from the VMs in your scale set.
There is no additional cost to scale sets. You only pay for the underlying compute resources such as the VM instances, load balancer, or Managed Disk storage. The management and automation features, such as autoscale and redundancy, incur no additional charges over the use of VMs.
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#paddyMaddy #azuretutorial #azuretraining

[@prasadrao4840]

Outstanding Video , Simple and The Best

[@oimenoiable]

Thank you, very helpful. A++ demo.

[@aha2oho735]

Fantastic lecture

[@alwinm5179]

Thanks..Easley understand

[@PaddyMaddy26]

Thank you for your interest in my courses. I am glad to hear that you have found my courses helpful. I am happy to provide further assistance if needed. Please feel free to reach out to me at [e-mail] for any additional queries or assistance. I am always available to help. Thank you again.

[@abhayranjan4967]

best demo and explain beautifully thank for this, keep sharing you knowledge

[@PaddyMaddy26]

Will have more videos in this weekend🍕🏠🎉🍕🏠🎉

[@refinement2659]

So suppose Main vm,in this app got configured and after wards due to more requests one more vm created, nd in newly created vm who deploys the app code this is my question. Please anyone answer my question ?

[@1001Crore]

Do we need to manually install and configure application and data, etc. on newly created VMs by auto scaling? if not, does it create a replica of the existing VM?

[@PaddyMaddy26]

Thank you for your query. No, you won't have to manually install and configure applications and data on newly created VMs by auto scaling. Auto scaling will create a replica of the existing VM with the same configuration as the existing one. Please let me know if you have any other questions.

[@bhanuprakashsurya]

Thank you sir

[@PaddyMaddy26]

So nice of you!!

[@feedflood]

But where did we use the load balancer. putting stress by logging into individual machines is impractical in real scenarios.

[@refinement2659]

So suppose Main vm app got configured and after wards due to more requests one more vm created, nd in newly created vm who deploys the app code this is my question.

[@rajkumar-oy3ni]

Nice content but too fast to grasp