Because of the elasticity of the cloud, businesses may swiftly scale their capacity down or up, manually or automatically. For example, "cloudbursting" from the on equipment onto the cloud service is an example for cloud elasticity used to meet a sudden or recurring demand. The ability of an application to increase or decrease its resource utilisation is referred to as an application's "cloud elasticity."

Depending on the workload trends, cloud elasticity could be started manually and frequently completed in a matter of minutes. Before using Cloud Elasticity, organisations had to have more stand-by power on hand or purchase, configure, and deploy additional capacity, a procedure that could take weeks or months.

If and when demand decreases, capacity can be decreased in a couple of minutes. Businesses can avoid purchasing or removing on-premises infrastructure by doing this because they just pay for the assets that are actually used at any one moment.

The typical use cases for Cloud Elasticity include

• During Black Friday sales to the start of January, there is a significant increase in demand for products and services over the Christmas period, whether in physical stores or online.
• After the start of the school year, demand in school district registration drops after a spring spike.
• Businesses that detect an unexpected rise in demand due to a popular product launch and social media boost, like Netflix boosting virtual machines and space to meet demand for a new launch or positive review.
• Disaster recovery and business continuity (DR/BC). Businesses can leverage public cloud capabilities to run virtual machines (VMs) inside the clouds and provide off-site snapshots or backups of critical data and applications in the case that on-premises equipment is damaged or destroyed.
• Scale virtualization design in the cloud for applications like virtual learning or even for temp employes.
• Scale equipment into in the cloud for testing and development, then remove it once the work is finished.