Which AWS feature helps with elasticity during peak usage?

Dynamic Scaling Policies are designed to enhance elasticity, particularly during periods of high demand. AWS offers Auto Scaling, which allows applications to automatically adjust the number of running instances based on demand. With dynamic scaling policies, organizations can define metrics such as CPU utilization or request count as triggers to scale their resources in or out. This means that during peak usage times, additional resources can be provisioned automatically to handle the increased load, ensuring that applications remain performant and stable. When usage stabilizes, resources can similarly be reduced to save costs, promoting efficient resource utilization.

The other options, while relevant in certain contexts, do not provide the same level of responsiveness to fluctuating demand. Static IP allocation, for example, pertains to networking rather than resource scaling. Dedicated instances offer physical server isolation but do not inherently address the need for elasticity in response to variable workloads. Private subnets focus on enhancing security and networking within a Virtual Private Cloud (VPC), but they do not directly relate to the elasticity of resource provisioning during peak usage periods.