Which of the following statements is the proper definition of elasticity in cloud computing?

What is elastic computing or cloud elasticity?

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. Typically controlled by system monitoring tools, elastic computing matches the amount of resources allocated to the amount of resources actually needed without disrupting operations. With cloud elasticity, a company avoids paying for unused capacity or idle resources and doesn’t have to worry about investing in the purchase or maintenance of additional resources and equipment.

While security and limited control are concerns to take into account when considering elastic cloud computing, it has many benefits. Elastic computing is more efficient than your typical IT infrastructure, is typically automated so it doesn’t have to rely on human administrators around the clock, and offers continuous availability of services by avoiding unnecessary slowdowns or service interruptions.

Which of the following statements is the proper definition of elasticity in cloud computing?

Load Balancer

Deliver high availability and network performance to your applications

Traffic Manager

Route incoming traffic for high performance and availability

Which of the following statements is the proper definition of elasticity in cloud computing?

What Does Cloud Elasticity Mean?

Cloud elasticity refers to the ability of a cloud service to provide on-demand offerings, nimbly switching resources when demand goes up or down. It is often an immediate reaction to clients dropping or adding services in real time.

Cloud elasticity is also known as rapid elasticity.

Techopedia Explains Cloud Elasticity

Cloud elasticity is linked to various strategies such as resource pooling, multitenant storage and other ways that cloud providers use to provision their services. The idea is that the service should be able to quickly scale up or scale down according to an individual customer’s needs. Public cloud systems largely do this by having many clients on board at any given time and maintaining systems that can easily be re-provisioned to fit changing orders.

IT experts make a distinction between cloud elasticity and cloud scalability. Having scalability or economy of scale means that the system can be built out feasibly from a smaller core. Elasticity on the other hand envisions a dynamic response to demand and supply volatility.

The ability to acquire resources as you need them and release resources when you no longer need them. In the cloud, you want to do this automatically.

Elasticity

Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. This is only one aspect to elasticity. The other aspect is to contract when they no longer need resources. Scale out and scale in. Scale up and scale down. Some services do this as part of their service: Amazon S3, Amazon SQS, Amazon SNS, Amazon SES, Amazon Aurora, etc. Some require vertical scaling, like Amazon RDS. Others integrate with AWS Auto Scaling, like Amazon EC2, Amazon ECS, AWS Fargate, Amazon EKS, and Amazon DynamoDB. Amazon Aurora Serverless and Amazon Athena also qualify as elastic.

Implement elasticity

  • Identify the workloads that have variable load.
  • Identify the workload load range. That is, is there enough variability to warrant adding or removing resources?
  • Identify the application limitations (sessions, long initialization, licensing, etc.) that may limit elasticity.
  • Identify if the increase in demand can be met by automatic scaling, or if it needs to be in place before (for events, launches, etc.).
  • Identify applications that can use Amazon Athena or Amazon Aurora Serverless
  • Implement elasticity using AWS Auto Scaling or Application Auto Scaling for the aspects of your service that are not elastic by design.
  • Test elasticity both up and down, ensuring it will meet requirements for load variance.
  • Iterate on implementation and testing until you can meet requirements. You may want to investigate golden Amazon Machine Images, docker containers, etc. to speed launch.

What is elasticity in cloud computing?

Cloud Elasticity is the property of a cloud to grow or shrink capacity for CPU, memory, and storage resources to adapt to the changing demands of an organization.

Which statement best describes elasticity in the cloud?

Answer: In cloud computing, elasticity is defined as "the degree to which a system is able to adapt to workload changes by provisioning and de-provisioning resources in an autonomic manner, such that at each point in time the available resources match the current demand as closely as possible".

Which statement accurately describes the concept of elasticity in cloud computing answer?

The degree to which a system can adapt to workload changes by provisioning and deprovisioning resources automatically is that statement accurately describes the concept of elasticity in Cloud computing.

How is elasticity defined?

elasticity, ability of a deformed material body to return to its original shape and size when the forces causing the deformation are removed. A body with this ability is said to behave (or respond) elastically.