Suggested Answer:
An Azure virtual machine scale set can automatically increase or decrease the number of VM instances that run your application. This automated and elastic behavior reduces the management overhead to monitor and optimize the performance of your application. Also: Azure elasticity as a service is referred to a cloud service that enables in automatically scaling Azure hosted resources in par with the demand and configured parameters. It provides Azure Administrators with the ability to auto scale Azure infrastructure and resources as and when needed. Reference: https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-autoscale-overview https://www.netreo.com/cloud-automation/what-is-azure-elasticity-as-a-service/
Correct:
Autoscaling takes advantage of the elasticity of cloud-hosted environments while easing management overhead. It reduces the need for an operator to continually monitor the performance of a system and make decisions about adding or removing resources.
https://learn.microsoft.com/en-us/azure/architecture/best-practices/auto-scaling
The link you shared does mentioned it being elastic, but auto-scale is a form of predictability. So, which is correct. It's def do both, but if I have to pick one is predictability.
https://learn.microsoft.com/en-us/azure/azure-monitor/autoscale/autoscale-predictive?toc=https%3A%2F%2Flearn.microsoft.com%2Fen-us%2Fazure%2Fvirtual-machine-scale-sets%2Ftoc.json&bc=https%3A%2F%2Flearn.microsoft.com%2Fen-us%2Fazure%2Fbread%2Ftoc.json
The answer is a no-brainer = Elasticity
* Azure autoscaling is a cloud computing feature that allows you to automatically scale your applications or resources in the Azure cloud based on demand. Autoscaling can be based on specific criteria such as traffic or utilization levels. It can scale up or down automatically when these situations occur.
* Elastic computing is the ability to quickly expand or decrease computer processing, memory, and storage resources to meet changing demands without worrying about capacity planning and engineering for peak usage.
Correct. Elasticity refers to the ability of a system to automatically adjust its resources to handle varying loads, which is precisely what autoscaling does by dynamically scaling up or down based on demand.
Remember that "Agility" is the ability to react quickly.
Agility enables users to be able to allocate and deallocate resources very quickly, and that is a huge benefit of the cloud.
Here, you must to pay attention to the difference between "Scalabity" and "Auto-Scalability".
In fact, Scalability take advantage of predictability principle, and you have do to it in a manual way, by using your insights.
Auto-Scalability and elasticity both refers to an "automated jobs", so I think the correct answer is here "elasticity".
Source : https://datamyte.com/cloud-scalability-vs-cloud-elasticity/
Autoscaling, load balancing, and high availability are just some of the cloud concepts that support performance PREDICTABILITY.
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