ScalingElasticity

Elasticity refers to a system's ability to handle an increase or decrease in workload without performance degradation. 

Elasticity is important because it allows a system to maintain its performance levels even when there are sudden spikes in demand. A well-designed elastic system is able to automatically scale up or down as needed, without human intervention. This provides a better user experience and can also save money by avoiding the need to over-provision resources.

How to Design for Elasticity 

There are two main approaches to designing for elasticity: static provisioning and dynamic provisioning. 

Static provisioning is the traditional approach and involves manually provisioning the resources that will be needed to meet peak demands. This approach works well for systems with predictable workloads, but can be costly and inefficient for systems with highly variable or unpredictable workloads. 

Dynamic provisioning is a newer approach that involves using automation to dynamically provision the resources that are needed to meet changing demands. This approach is more efficient and cost-effective than static provisioning, but can be more complex to set up and manage. 

When designing for elasticity, it is important to consider both the use case and the underlying architecture of the system. For example, a web application that receives a large amount of traffic from search engines will have different requirements than a mobile app that requires real-time data processing. Choosing the right approach for your use case will help ensure that your system is able to handle changing loads without degradation in performance. 

Selecting the right approach for your use case will help ensure that your system is able to maintain its performance levels even when there are sudden spikes in demand.