An automotive assembly plant utilizes a cloud-hosted computer vision platform to perform quality assurance checks on manufactured vehicle frames. Under normal operational shifts, a small cluster of cloud virtual servers handles the incoming image processing tasks. However, during high-volume production testing periods, image data spikes significantly. The cloud platform automatically provisions additional compute nodes to process the workload peak without manual administrator intervention, and then automatically decommission them as processing volume returns to baseline levels. Which essential cloud characteristic is primarily demonstrated in this scenario?
- Rapid elasticityAnswer
- BResource pooling
- CInfrastructure as a Service
- DOn-demand self-service
Answer
Rapid elasticity is demonstrated because the cloud system automatically expands compute capacity to handle temporary traffic spikes and contracts capacity when processing volume drops back to normal.
Rapid elasticity allows compute, storage, or network resources to be automatically scaled outward or inward to match workload demands seamlessly, ensuring systems maintain performance during peaks without over-provisioning infrastructure permanently.
Step-by-Step Solution
Key Concept
Rapid Elasticity