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2. Amazon Elastic Compute Cloud - Wikipedia

   en.wikipedia.org/wiki/Amazon_Elastic_Compute_Cloud

   An example of this pricing would be $0.096 per hour for a Linux, m5.large, EC2 instance in the us-east-1 region. Pricing will vary based on the instance type, region, and operating system of the instance. Public on-demand pricing for EC2 can be found on the AWS website. The other pricing models for EC2 have different pricing models.

3. Elastic cloud storage - Wikipedia

   en.wikipedia.org/wiki/Elastic_cloud_storage

   An elastic cloud is a cloud computing offering that provides variable service levels based on changing needs. Elasticity is an attribute that can be applied to most cloud services. It states that the capacity and performance of any given cloud service can expand or contract according to a customer's requirements and that this can potentially be ...

4. Cloud-computing comparison - Wikipedia

   en.wikipedia.org/wiki/Cloud-computing_comparison

   The following is a comparison of cloud-computing software and providers. IaaS (Infrastructure as a service) ... Microsoft Azure: 2010 Yes Yes Yes [11] Yes

5. Autoscaling - Wikipedia

   en.wikipedia.org/wiki/Autoscaling

   Autoscaling, also spelled auto scaling or auto-scaling, and sometimes also called automatic scaling, is a method used in cloud computing that dynamically adjusts the amount of computational resources in a server farm - typically measured by the number of active servers - automatically based on the load on the farm.

6. Cloud computing - Wikipedia

   en.wikipedia.org/wiki/Cloud_computing

   Many cloud platforms provide cost management tools, such as AWS Cost Explorer and Azure Cost Management, and frameworks like FinOps have emerged to standardize financial operations in the cloud. Cloud computing also facilitates collaboration, remote work, and global service delivery by enabling secure access to data and applications from any ...

7. Elasticity (computing) - Wikipedia

   en.wikipedia.org/wiki/Elasticity_(computing)

   [1] [2] Elasticity is a defining characteristic that differentiates cloud computing from previously proposed distributed computing paradigms, such as grid computing. The dynamic adaptation of capacity, e.g., by altering the use of computing resources, to meet a varying workload is called "elastic computing". [3] [4]