Cloud elasticity definition
Cloud elasticity can dynamically and automatically adjust computing storage and various network resources for constantly changing workloads. This adaptability is essential for maintaining a high quality of performance and security. That means it doesn’t expose vulnerabilities that can occur due to system overload.
See also: cloud as a service
Cloud elasticity use cases:
- Traffic handling: During high-traffic events, cloud elasticity can scale up its resources to manage website traffic while maintaining security. For example, online shops can withstand holiday shopping overload and later scale down when enormous demands decrease.
- Mitigating distributed denial of service (DDoS) attacks: During DDoS attacks, cloud elasticity can withstand enormous traffic aimed to disrupt the servers while distributing the load across multiple layers, thus helping to mitigate the attack’s impact.
- Cost-effective security scaling: Enterprises with varying demands use cloud elasticity to adjust security measures in line with computing capabilities proportionally. During the workload escalation periods, systems can scale up accordingly and manage the higher workload while safeguarding the enlarged system setup. While everything is automatic, that means no manual labor is needed.