Cloud elasticity has been crucial in helping our organization handle traffic spikes and changing workloads efficiently. By leveraging auto-scaling features in AWS and Azure, we automatically adjust our compute resources—such as EC2 instances or virtual machines—based on real-time traffic demand. During periods of high usage, cloud elasticity ensures that additional resources are provisioned quickly, preventing performance degradation and ensuring a smooth user experience. Conversely, during off-peak times, unused resources are automatically decommissioned, reducing costs by preventing over-provisioning. This dynamic scaling also applies to storage and database services, such as AWS RDS and Azure SQL, which adjust capacity as needed. As a result, we've seen improvements in both cost-efficiency and system performance, enabling us to deliver reliable services even during unexpected spikes in demand, while keeping operational expenses under control.